diff --git a/pandas/tests/arithmetic/test_datetime64.py b/pandas/tests/arithmetic/test_datetime64.py index c3ebd8f773aa6..73921a18ee5c7 100644 --- a/pandas/tests/arithmetic/test_datetime64.py +++ b/pandas/tests/arithmetic/test_datetime64.py @@ -687,7 +687,7 @@ def check(get_ser, test_ser): # with 'operate' (from core/ops.py) for the ops that are not # defined op = getattr(get_ser, op_str, None) - with tm.assert_raises_regex(TypeError, 'operate|cannot'): + with pytest.raises(TypeError, match='operate|cannot'): op(test_ser) # ## timedelta64 ### @@ -1042,9 +1042,9 @@ def test_dti_add_timestamp_raises(self, box_with_datetime): idx = DatetimeIndex(['2011-01-01', '2011-01-02']) idx = tm.box_expected(idx, box_with_datetime) msg = "cannot add" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): idx + Timestamp('2011-01-01') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): Timestamp('2011-01-01') + idx # ------------------------------------------------------------- @@ -1268,7 +1268,7 @@ def test_dti_sub_tdi(self, tz_naive_fixture): tm.assert_index_equal(result, expected) msg = 'cannot subtract .*TimedeltaIndex' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): tdi - dti # sub with timedelta64 array @@ -1276,7 +1276,7 @@ def test_dti_sub_tdi(self, tz_naive_fixture): tm.assert_index_equal(result, expected) msg = 'cannot subtract DatetimeIndex from' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): tdi.values - dti def test_dti_isub_tdi(self, tz_naive_fixture): @@ -1292,7 +1292,7 @@ def test_dti_isub_tdi(self, tz_naive_fixture): tm.assert_index_equal(result, expected) msg = 'cannot subtract .*TimedeltaIndex' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): tdi -= dti # isub with timedelta64 array @@ -1303,7 +1303,7 @@ def test_dti_isub_tdi(self, tz_naive_fixture): msg = '|'.join(['cannot perform __neg__ with this index type:', 'ufunc subtract cannot use operands with types', 'cannot subtract DatetimeIndex from']) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): tdi.values -= dti # ------------------------------------------------------------- @@ -1323,9 +1323,9 @@ def test_add_datetimelike_and_dti(self, addend, tz): # GH#9631 dti = DatetimeIndex(['2011-01-01', '2011-01-02']).tz_localize(tz) msg = 'cannot add DatetimeIndex and {0}'.format(type(addend).__name__) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): dti + addend - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): addend + dti # ------------------------------------------------------------- diff --git a/pandas/tests/arithmetic/test_period.py b/pandas/tests/arithmetic/test_period.py index 3595cf7a2522f..687d07082ea33 100644 --- a/pandas/tests/arithmetic/test_period.py +++ b/pandas/tests/arithmetic/test_period.py @@ -118,27 +118,27 @@ def test_parr_cmp_pi_mismatched_freq_raises(self, freq, box_df_fail): base = tm.box_expected(base, box) msg = "Input has different freq=A-DEC from " - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): base <= Period('2011', freq='A') - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): Period('2011', freq='A') >= base # TODO: Could parametrize over boxes for idx? idx = PeriodIndex(['2011', '2012', '2013', '2014'], freq='A') - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): base <= idx # Different frequency msg = "Input has different freq=4M from " - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): base <= Period('2011', freq='4M') - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): Period('2011', freq='4M') >= base idx = PeriodIndex(['2011', '2012', '2013', '2014'], freq='4M') - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): base <= idx @pytest.mark.parametrize('freq', ['M', '2M', '3M']) @@ -190,10 +190,10 @@ def test_pi_cmp_nat_mismatched_freq_raises(self, freq): diff = PeriodIndex(['2011-02', '2011-01', '2011-04', 'NaT'], freq='4M') msg = "Input has different freq=4M from PeriodIndex" - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): idx1 > diff - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): idx1 == diff # TODO: De-duplicate with test_pi_cmp_nat @@ -708,13 +708,13 @@ def test_pi_add_sub_timedeltalike_freq_mismatch_daily(self, not_daily): other = not_daily rng = pd.period_range('2014-05-01', '2014-05-15', freq='D') msg = 'Input has different freq(=.+)? from Period.*?\\(freq=D\\)' - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng + other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng += other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng - other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng -= other def test_pi_add_iadd_timedeltalike_hourly(self, two_hours): @@ -734,10 +734,10 @@ def test_pi_add_timedeltalike_mismatched_freq_hourly(self, not_hourly): rng = pd.period_range('2014-01-01 10:00', '2014-01-05 10:00', freq='H') msg = 'Input has different freq(=.+)? from Period.*?\\(freq=H\\)' - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng + other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng += other def test_pi_sub_isub_timedeltalike_hourly(self, two_hours): @@ -768,13 +768,13 @@ def test_pi_add_sub_timedeltalike_freq_mismatch_annual(self, rng = pd.period_range('2014', '2024', freq='A') msg = ('Input has different freq(=.+)? ' 'from Period.*?\\(freq=A-DEC\\)') - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng + other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng += other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng - other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng -= other def test_pi_add_iadd_timedeltalike_M(self): @@ -792,13 +792,13 @@ def test_pi_add_sub_timedeltalike_freq_mismatch_monthly(self, other = mismatched_freq rng = pd.period_range('2014-01', '2016-12', freq='M') msg = 'Input has different freq(=.+)? from Period.*?\\(freq=M\\)' - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng + other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng += other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng - other - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): rng -= other def test_parr_add_sub_td64_nat(self, box): @@ -907,14 +907,14 @@ def test_pi_ops_errors(self, ng, box_with_period): obj = tm.box_expected(idx, box_with_period) msg = r"unsupported operand type\(s\)" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): obj + ng with pytest.raises(TypeError): # error message differs between PY2 and 3 ng + obj - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): obj - ng with pytest.raises(TypeError): @@ -1009,13 +1009,13 @@ def test_pi_offset_errors(self): # from Period msg = r"Input has different freq from Period.*?\(freq=D\)" for obj in [idx, ser]: - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): obj + pd.offsets.Hour(2) - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): pd.offsets.Hour(2) + obj - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): obj - pd.offsets.Hour(2) def test_pi_sub_period(self): diff --git a/pandas/tests/arithmetic/test_timedelta64.py b/pandas/tests/arithmetic/test_timedelta64.py index 902d0716aed8d..f92a772f3eaad 100644 --- a/pandas/tests/arithmetic/test_timedelta64.py +++ b/pandas/tests/arithmetic/test_timedelta64.py @@ -161,22 +161,22 @@ def test_tdi_add_timestamp_nat_masking(self): def test_tdi_add_overflow(self): # See GH#14068 msg = "too (big|large) to convert" - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): pd.to_timedelta(106580, 'D') + Timestamp('2000') - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): Timestamp('2000') + pd.to_timedelta(106580, 'D') _NaT = int(pd.NaT) + 1 msg = "Overflow in int64 addition" - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): pd.to_timedelta([106580], 'D') + Timestamp('2000') - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): Timestamp('2000') + pd.to_timedelta([106580], 'D') - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): pd.to_timedelta([_NaT]) - Timedelta('1 days') - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): pd.to_timedelta(['5 days', _NaT]) - Timedelta('1 days') - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): (pd.to_timedelta([_NaT, '5 days', '1 hours']) - pd.to_timedelta(['7 seconds', _NaT, '4 hours'])) @@ -415,7 +415,7 @@ def test_td64arr_sub_timestamp_raises(self, box): msg = ("cannot subtract a datelike from|" "Could not operate|" "cannot perform operation") - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): idx - Timestamp('2011-01-01') def test_td64arr_add_timestamp(self, box, tz_naive_fixture): @@ -1217,9 +1217,9 @@ def test_td64arr_mul_tdscalar_invalid(self, box, scalar_td): # with 'operate' (from core/ops.py) for the ops that are not # defined pattern = 'operate|unsupported|cannot|not supported' - with tm.assert_raises_regex(TypeError, pattern): + with pytest.raises(TypeError, match=pattern): td1 * scalar_td - with tm.assert_raises_regex(TypeError, pattern): + with pytest.raises(TypeError, match=pattern): scalar_td * td1 def test_td64arr_mul_too_short_raises(self, box): @@ -1399,8 +1399,8 @@ def test_td64arr_pow_invalid(self, scalar_td, box): # with 'operate' (from core/ops.py) for the ops that are not # defined pattern = 'operate|unsupported|cannot|not supported' - with tm.assert_raises_regex(TypeError, pattern): + with pytest.raises(TypeError, match=pattern): scalar_td ** td1 - with tm.assert_raises_regex(TypeError, pattern): + with pytest.raises(TypeError, match=pattern): td1 ** scalar_td diff --git a/pandas/tests/arrays/categorical/test_algos.py b/pandas/tests/arrays/categorical/test_algos.py index e7dc67c5d6a5b..50f643756c5dc 100644 --- a/pandas/tests/arrays/categorical/test_algos.py +++ b/pandas/tests/arrays/categorical/test_algos.py @@ -138,5 +138,5 @@ def test_take_fill_value_new_raises(self): # https://github.com/pandas-dev/pandas/issues/23296 cat = pd.Categorical(['a', 'b', 'c']) xpr = r"'fill_value' \('d'\) is not in this Categorical's categories." - with tm.assert_raises_regex(TypeError, xpr): + with pytest.raises(TypeError, match=xpr): cat.take([0, 1, -1], fill_value='d', allow_fill=True) diff --git a/pandas/tests/arrays/categorical/test_analytics.py b/pandas/tests/arrays/categorical/test_analytics.py index 0f292a457bbc2..ea6facd66a1a3 100644 --- a/pandas/tests/arrays/categorical/test_analytics.py +++ b/pandas/tests/arrays/categorical/test_analytics.py @@ -305,7 +305,8 @@ def test_numpy_repeat(self): tm.assert_categorical_equal(np.repeat(cat, 2), exp) msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.repeat, cat, 2, axis=1) + with pytest.raises(ValueError, match=msg): + np.repeat(cat, 2, axis=1) def test_isna(self): exp = np.array([False, False, True]) diff --git a/pandas/tests/arrays/categorical/test_api.py b/pandas/tests/arrays/categorical/test_api.py index 54de398473d52..ec90995e6084b 100644 --- a/pandas/tests/arrays/categorical/test_api.py +++ b/pandas/tests/arrays/categorical/test_api.py @@ -50,9 +50,9 @@ def test_set_ordered(self): # removed in 0.19.0 msg = "can\'t set attribute" - with tm.assert_raises_regex(AttributeError, msg): + with pytest.raises(AttributeError, match=msg): cat.ordered = True - with tm.assert_raises_regex(AttributeError, msg): + with pytest.raises(AttributeError, match=msg): cat.ordered = False def test_rename_categories(self): diff --git a/pandas/tests/arrays/categorical/test_constructors.py b/pandas/tests/arrays/categorical/test_constructors.py index 8bd245d2aabae..a473f44d5d4aa 100644 --- a/pandas/tests/arrays/categorical/test_constructors.py +++ b/pandas/tests/arrays/categorical/test_constructors.py @@ -26,10 +26,10 @@ def test_validate_ordered(self): # This should be a boolean. ordered = np.array([0, 1, 2]) - with tm.assert_raises_regex(exp_err, exp_msg): + with pytest.raises(exp_err, match=exp_msg): Categorical([1, 2, 3], ordered=ordered) - with tm.assert_raises_regex(exp_err, exp_msg): + with pytest.raises(exp_err, match=exp_msg): Categorical.from_codes([0, 0, 1], categories=['a', 'b', 'c'], ordered=ordered) @@ -351,13 +351,13 @@ def test_constructor_with_dtype(self, ordered): def test_constructor_dtype_and_others_raises(self): dtype = CategoricalDtype(['a', 'b'], ordered=True) - with tm.assert_raises_regex(ValueError, "Cannot"): + with pytest.raises(ValueError, match="Cannot"): Categorical(['a', 'b'], categories=['a', 'b'], dtype=dtype) - with tm.assert_raises_regex(ValueError, "Cannot"): + with pytest.raises(ValueError, match="Cannot"): Categorical(['a', 'b'], ordered=True, dtype=dtype) - with tm.assert_raises_regex(ValueError, "Cannot"): + with pytest.raises(ValueError, match="Cannot"): Categorical(['a', 'b'], ordered=False, dtype=dtype) @pytest.mark.parametrize('categories', [ @@ -372,7 +372,7 @@ def test_constructor_str_category(self, categories, ordered): tm.assert_categorical_equal(result, expected) def test_constructor_str_unknown(self): - with tm.assert_raises_regex(ValueError, "Unknown `dtype`"): + with pytest.raises(ValueError, match="Unknown `dtype`"): Categorical([1, 2], dtype="foo") def test_constructor_from_categorical_with_dtype(self): diff --git a/pandas/tests/arrays/categorical/test_dtypes.py b/pandas/tests/arrays/categorical/test_dtypes.py index 491a7867fee71..66f08355e7516 100644 --- a/pandas/tests/arrays/categorical/test_dtypes.py +++ b/pandas/tests/arrays/categorical/test_dtypes.py @@ -120,7 +120,7 @@ def test_astype(self, ordered): tm.assert_numpy_array_equal(result, expected) msg = 'could not convert string to float' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): cat.astype(float) # numeric diff --git a/pandas/tests/arrays/categorical/test_indexing.py b/pandas/tests/arrays/categorical/test_indexing.py index a54ee7381f9eb..8df5728f7d895 100644 --- a/pandas/tests/arrays/categorical/test_indexing.py +++ b/pandas/tests/arrays/categorical/test_indexing.py @@ -143,5 +143,5 @@ def test_mask_with_boolean_raises(index): if index: idx = CategoricalIndex(idx) - with tm.assert_raises_regex(ValueError, 'NA / NaN'): + with pytest.raises(ValueError, match='NA / NaN'): s[idx] diff --git a/pandas/tests/arrays/categorical/test_missing.py b/pandas/tests/arrays/categorical/test_missing.py index 32698d190d93c..b4b361dabac61 100644 --- a/pandas/tests/arrays/categorical/test_missing.py +++ b/pandas/tests/arrays/categorical/test_missing.py @@ -70,7 +70,7 @@ def test_fillna_raises(self, fillna_kwargs, msg): # https://github.com/pandas-dev/pandas/issues/19682 cat = Categorical([1, 2, 3]) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): cat.fillna(**fillna_kwargs) @pytest.mark.parametrize("named", [True, False]) diff --git a/pandas/tests/arrays/categorical/test_operators.py b/pandas/tests/arrays/categorical/test_operators.py index ce15ebfb281f2..f216865faa2ad 100644 --- a/pandas/tests/arrays/categorical/test_operators.py +++ b/pandas/tests/arrays/categorical/test_operators.py @@ -238,15 +238,17 @@ def test_unordered_different_order_equal(self, ctor): def test_unordered_different_categories_raises(self): c1 = Categorical(['a', 'b'], categories=['a', 'b'], ordered=False) c2 = Categorical(['a', 'c'], categories=['c', 'a'], ordered=False) - with tm.assert_raises_regex(TypeError, - "Categoricals can only be compared"): + + with pytest.raises(TypeError, match=("Categoricals can " + "only be compared")): c1 == c2 def test_compare_different_lengths(self): c1 = Categorical([], categories=['a', 'b']) c2 = Categorical([], categories=['a']) + msg = "Categories are different lengths" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): c1 == c2 def test_compare_unordered_different_order(self): diff --git a/pandas/tests/arrays/categorical/test_sorting.py b/pandas/tests/arrays/categorical/test_sorting.py index 922d9fdb788b1..3d55862cd2cc0 100644 --- a/pandas/tests/arrays/categorical/test_sorting.py +++ b/pandas/tests/arrays/categorical/test_sorting.py @@ -1,6 +1,7 @@ # -*- coding: utf-8 -*- import numpy as np +import pytest from pandas import Categorical, Index import pandas.util.testing as tm @@ -30,12 +31,12 @@ def test_numpy_argsort(self): check_dtype=False) msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.argsort, - c, axis=0) + with pytest.raises(ValueError, match=msg): + np.argsort(c, axis=0) msg = "the 'order' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.argsort, - c, order='C') + with pytest.raises(ValueError, match=msg): + np.argsort(c, order='C') def test_sort_values(self): diff --git a/pandas/tests/arrays/interval/test_interval.py b/pandas/tests/arrays/interval/test_interval.py index 9a191dda3a73a..a04579dbbb6b1 100644 --- a/pandas/tests/arrays/interval/test_interval.py +++ b/pandas/tests/arrays/interval/test_interval.py @@ -38,7 +38,7 @@ def test_repeat(self, left_right_dtypes, repeats): ('foo', r'invalid literal for (int|long)\(\) with base 10')]) def test_repeat_errors(self, bad_repeats, msg): array = IntervalArray.from_breaks(range(4)) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): array.repeat(bad_repeats) @pytest.mark.parametrize('new_closed', [ diff --git a/pandas/tests/arrays/interval/test_ops.py b/pandas/tests/arrays/interval/test_ops.py index 45bf465577ace..bdbd145ed2a80 100644 --- a/pandas/tests/arrays/interval/test_ops.py +++ b/pandas/tests/arrays/interval/test_ops.py @@ -78,5 +78,5 @@ def test_overlaps_invalid_type(self, constructor, other): interval_container = constructor.from_breaks(range(5)) msg = '`other` must be Interval-like, got {other}'.format( other=type(other).__name__) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_container.overlaps(other) diff --git a/pandas/tests/arrays/sparse/test_array.py b/pandas/tests/arrays/sparse/test_array.py index 852c4fb910560..04d7f4d498c2b 100644 --- a/pandas/tests/arrays/sparse/test_array.py +++ b/pandas/tests/arrays/sparse/test_array.py @@ -97,7 +97,7 @@ def test_constructor_object_dtype(self): @pytest.mark.parametrize("dtype", [SparseDtype(int, 0), int]) def test_constructor_na_dtype(self, dtype): - with tm.assert_raises_regex(ValueError, "Cannot convert"): + with pytest.raises(ValueError, match="Cannot convert"): SparseArray([0, 1, np.nan], dtype=dtype) def test_constructor_spindex_dtype(self): @@ -224,13 +224,18 @@ def test_get_item(self): assert self.zarr[7] == 5 errmsg = re.compile("bounds") - tm.assert_raises_regex(IndexError, errmsg, lambda: self.arr[11]) - tm.assert_raises_regex(IndexError, errmsg, lambda: self.arr[-11]) + + with pytest.raises(IndexError, match=errmsg): + self.arr[11] + + with pytest.raises(IndexError, match=errmsg): + self.arr[-11] + assert self.arr[-1] == self.arr[len(self.arr) - 1] def test_take_scalar_raises(self): msg = "'indices' must be an array, not a scalar '2'." - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.arr.take(2) def test_take(self): @@ -258,8 +263,8 @@ def test_take_negative(self): tm.assert_sp_array_equal(self.arr.take([-4, -3, -2]), exp) def test_bad_take(self): - tm.assert_raises_regex( - IndexError, "bounds", lambda: self.arr.take([11])) + with pytest.raises(IndexError, match="bounds"): + self.arr.take([11]) def test_take_filling(self): # similar tests as GH 12631 @@ -279,10 +284,11 @@ def test_take_filling(self): expected = SparseArray([np.nan, np.nan, 4]) tm.assert_sp_array_equal(result, expected) - msg = ("Invalid value in 'indices'") - with tm.assert_raises_regex(ValueError, msg): + msg = "Invalid value in 'indices'" + with pytest.raises(ValueError, match=msg): sparse.take(np.array([1, 0, -2]), allow_fill=True) - with tm.assert_raises_regex(ValueError, msg): + + with pytest.raises(ValueError, match=msg): sparse.take(np.array([1, 0, -5]), allow_fill=True) with pytest.raises(IndexError): @@ -314,9 +320,9 @@ def test_take_filling_fill_value(self): tm.assert_sp_array_equal(result, expected) msg = ("Invalid value in 'indices'.") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): sparse.take(np.array([1, 0, -2]), allow_fill=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): sparse.take(np.array([1, 0, -5]), allow_fill=True) with pytest.raises(IndexError): @@ -351,12 +357,15 @@ def setitem(): def setslice(): self.arr[1:5] = 2 - tm.assert_raises_regex(TypeError, "item assignment", setitem) - tm.assert_raises_regex(TypeError, "item assignment", setslice) + with pytest.raises(TypeError, match="item assignment"): + setitem() + + with pytest.raises(TypeError, match="item assignment"): + setslice() def test_constructor_from_too_large_array(self): - tm.assert_raises_regex(TypeError, "expected dimension <= 1 data", - SparseArray, np.arange(10).reshape((2, 5))) + with pytest.raises(TypeError, match="expected dimension <= 1 data"): + SparseArray(np.arange(10).reshape((2, 5))) def test_constructor_from_sparse(self): res = SparseArray(self.zarr) @@ -441,7 +450,7 @@ def test_astype(self): tm.assert_sp_array_equal(result, expected) arr = SparseArray([0, np.nan, 0, 1], fill_value=0) - with tm.assert_raises_regex(ValueError, 'NA'): + with pytest.raises(ValueError, match='NA'): arr.astype('Sparse[i8]') def test_astype_bool(self): @@ -481,12 +490,12 @@ def test_set_fill_value(self): # sparsearray with NaN fill value, why not update one? # coerces to int # msg = "unable to set fill_value 3\\.1 to int64 dtype" - # with tm.assert_raises_regex(ValueError, msg): + # with pytest.raises(ValueError, match=msg): arr.fill_value = 3.1 assert arr.fill_value == 3.1 # msg = "unable to set fill_value nan to int64 dtype" - # with tm.assert_raises_regex(ValueError, msg): + # with pytest.raises(ValueError, match=msg): arr.fill_value = np.nan assert np.isnan(arr.fill_value) @@ -496,12 +505,12 @@ def test_set_fill_value(self): # coerces to bool # msg = "unable to set fill_value 0 to bool dtype" - # with tm.assert_raises_regex(ValueError, msg): + # with pytest.raises(ValueError, match=msg): arr.fill_value = 0 assert arr.fill_value == 0 # msg = "unable to set fill_value nan to bool dtype" - # with tm.assert_raises_regex(ValueError, msg): + # with pytest.raises(ValueError, match=msg): arr.fill_value = np.nan assert np.isnan(arr.fill_value) @@ -510,7 +519,7 @@ def test_set_fill_invalid_non_scalar(self, val): arr = SparseArray([True, False, True], fill_value=False, dtype=np.bool) msg = "fill_value must be a scalar" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): arr.fill_value = val def test_copy_shallow(self): @@ -793,8 +802,8 @@ def test_numpy_all(self, data, pos, neg): # raises with a different message on py2. msg = "the \'out\' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.all, - SparseArray(data), out=np.array([])) + with pytest.raises(ValueError, match=msg): + np.all(SparseArray(data), out=np.array([])) @pytest.mark.parametrize('data,pos,neg', [ ([False, True, False], True, False), @@ -838,8 +847,8 @@ def test_numpy_any(self, data, pos, neg): assert not out msg = "the \'out\' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.any, - SparseArray(data), out=out) + with pytest.raises(ValueError, match=msg): + np.any(SparseArray(data), out=out) def test_sum(self): data = np.arange(10).astype(float) @@ -866,12 +875,12 @@ def test_numpy_sum(self): assert out == 40.0 msg = "the 'dtype' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.sum, - SparseArray(data), dtype=np.int64) + with pytest.raises(ValueError, match=msg): + np.sum(SparseArray(data), dtype=np.int64) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.sum, - SparseArray(data), out=out) + with pytest.raises(ValueError, match=msg): + np.sum(SparseArray(data), out=out) @pytest.mark.parametrize("data,expected", [ (np.array([1, 2, 3, 4, 5], dtype=float), # non-null data @@ -894,16 +903,16 @@ def test_cumsum(self, data, expected, numpy): if numpy: # numpy compatibility checks. msg = "the 'dtype' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.cumsum, - SparseArray(data), dtype=np.int64) + with pytest.raises(ValueError, match=msg): + np.cumsum(SparseArray(data), dtype=np.int64) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.cumsum, - SparseArray(data), out=out) + with pytest.raises(ValueError, match=msg): + np.cumsum(SparseArray(data), out=out) else: axis = 1 # SparseArray currently 1-D, so only axis = 0 is valid. msg = "axis\\(={axis}\\) out of bounds".format(axis=axis) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): SparseArray(data).cumsum(axis=axis) def test_mean(self): @@ -925,12 +934,12 @@ def test_numpy_mean(self): assert out == 40.0 / 9 msg = "the 'dtype' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.mean, - SparseArray(data), dtype=np.int64) + with pytest.raises(ValueError, match=msg): + np.mean(SparseArray(data), dtype=np.int64) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.mean, - SparseArray(data), out=out) + with pytest.raises(ValueError, match=msg): + np.mean(SparseArray(data), out=out) def test_ufunc(self): # GH 13853 make sure ufunc is applied to fill_value @@ -1042,7 +1051,7 @@ def test_to_coo(self): def test_non_sparse_raises(self): ser = pd.Series([1, 2, 3]) - with tm.assert_raises_regex(AttributeError, '.sparse'): + with pytest.raises(AttributeError, match='.sparse'): ser.sparse.density diff --git a/pandas/tests/arrays/sparse/test_dtype.py b/pandas/tests/arrays/sparse/test_dtype.py index 75fc325b07a08..7c310693cf26c 100644 --- a/pandas/tests/arrays/sparse/test_dtype.py +++ b/pandas/tests/arrays/sparse/test_dtype.py @@ -3,7 +3,6 @@ import pandas as pd from pandas.core.sparse.api import SparseDtype -import pandas.util.testing as tm @pytest.mark.parametrize("dtype, fill_value", [ @@ -138,5 +137,5 @@ def test_parse_subtype(string, expected): "Sparse[bool, True]", ]) def test_construct_from_string_fill_value_raises(string): - with tm.assert_raises_regex(TypeError, 'fill_value in the string is not'): + with pytest.raises(TypeError, match='fill_value in the string is not'): SparseDtype.construct_from_string(string) diff --git a/pandas/tests/arrays/sparse/test_libsparse.py b/pandas/tests/arrays/sparse/test_libsparse.py index cbad7e8e9136d..6e9d790bf85f3 100644 --- a/pandas/tests/arrays/sparse/test_libsparse.py +++ b/pandas/tests/arrays/sparse/test_libsparse.py @@ -478,37 +478,37 @@ def test_check_integrity(self): # Too many indices than specified in self.length msg = "Too many indices" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): IntIndex(length=1, indices=[1, 2, 3]) # No index can be negative. msg = "No index can be less than zero" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): IntIndex(length=5, indices=[1, -2, 3]) # No index can be negative. msg = "No index can be less than zero" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): IntIndex(length=5, indices=[1, -2, 3]) # All indices must be less than the length. msg = "All indices must be less than the length" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): IntIndex(length=5, indices=[1, 2, 5]) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): IntIndex(length=5, indices=[1, 2, 6]) # Indices must be strictly ascending. msg = "Indices must be strictly increasing" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): IntIndex(length=5, indices=[1, 3, 2]) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): IntIndex(length=5, indices=[1, 3, 3]) def test_int_internal(self): diff --git a/pandas/tests/arrays/test_integer.py b/pandas/tests/arrays/test_integer.py index 0fe07caed5b85..10f54458e4980 100644 --- a/pandas/tests/arrays/test_integer.py +++ b/pandas/tests/arrays/test_integer.py @@ -453,17 +453,17 @@ def test_construct_cast_invalid(self, dtype): msg = "cannot safely" arr = [1.2, 2.3, 3.7] - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): integer_array(arr, dtype=dtype) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): pd.Series(arr).astype(dtype) arr = [1.2, 2.3, 3.7, np.nan] - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): integer_array(arr, dtype=dtype) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): pd.Series(arr).astype(dtype) @@ -683,11 +683,11 @@ def test_reduce_to_float(op): def test_astype_nansafe(): - # https://github.com/pandas-dev/pandas/pull/22343 + # see gh-22343 arr = integer_array([np.nan, 1, 2], dtype="Int8") + msg = "cannot convert float NaN to integer" - with tm.assert_raises_regex( - ValueError, 'cannot convert float NaN to integer'): + with pytest.raises(ValueError, match=msg): arr.astype('uint32') diff --git a/pandas/tests/arrays/test_period.py b/pandas/tests/arrays/test_period.py index 0125729048cdd..95a1d1781456c 100644 --- a/pandas/tests/arrays/test_period.py +++ b/pandas/tests/arrays/test_period.py @@ -53,22 +53,22 @@ def test_from_datetime64_freq_changes(): "Input has different freq"), ]) def test_period_array_raises(data, freq, msg): - with tm.assert_raises_regex(IncompatibleFrequency, msg): + with pytest.raises(IncompatibleFrequency, match=msg): period_array(data, freq) def test_period_array_non_period_series_raies(): ser = pd.Series([1, 2, 3]) - with tm.assert_raises_regex(TypeError, 'dtype'): + with pytest.raises(TypeError, match='dtype'): PeriodArray(ser, freq='D') def test_period_array_freq_mismatch(): arr = period_array(['2000', '2001'], freq='D') - with tm.assert_raises_regex(IncompatibleFrequency, 'freq'): + with pytest.raises(IncompatibleFrequency, match='freq'): PeriodArray(arr, freq='M') - with tm.assert_raises_regex(IncompatibleFrequency, 'freq'): + with pytest.raises(IncompatibleFrequency, match='freq'): PeriodArray(arr, freq=pd.tseries.offsets.MonthEnd()) @@ -80,11 +80,11 @@ def test_asi8(): def test_take_raises(): arr = period_array(['2000', '2001'], freq='D') - with tm.assert_raises_regex(IncompatibleFrequency, 'freq'): + with pytest.raises(IncompatibleFrequency, match='freq'): arr.take([0, -1], allow_fill=True, fill_value=pd.Period('2000', freq='W')) - with tm.assert_raises_regex(ValueError, 'foo'): + with pytest.raises(ValueError, match='foo'): arr.take([0, -1], allow_fill=True, fill_value='foo') @@ -129,13 +129,13 @@ def test_astype_period(): def test_astype_datetime(other): arr = period_array(['2000', '2001', None], freq='D') # slice off the [ns] so that the regex matches. - with tm.assert_raises_regex(TypeError, other[:-4]): + with pytest.raises(TypeError, match=other[:-4]): arr.astype(other) def test_fillna_raises(): arr = period_array(['2000', '2001', '2002'], freq='D') - with tm.assert_raises_regex(ValueError, 'Length'): + with pytest.raises(ValueError, match='Length'): arr.fillna(arr[:2]) @@ -167,23 +167,23 @@ def test_setitem(key, value, expected): def test_setitem_raises_incompatible_freq(): arr = PeriodArray(np.arange(3), freq="D") - with tm.assert_raises_regex(IncompatibleFrequency, "freq"): + with pytest.raises(IncompatibleFrequency, match="freq"): arr[0] = pd.Period("2000", freq="A") other = period_array(['2000', '2001'], freq='A') - with tm.assert_raises_regex(IncompatibleFrequency, "freq"): + with pytest.raises(IncompatibleFrequency, match="freq"): arr[[0, 1]] = other def test_setitem_raises_length(): arr = PeriodArray(np.arange(3), freq="D") - with tm.assert_raises_regex(ValueError, "length"): + with pytest.raises(ValueError, match="length"): arr[[0, 1]] = [pd.Period("2000", freq="D")] def test_setitem_raises_type(): arr = PeriodArray(np.arange(3), freq="D") - with tm.assert_raises_regex(TypeError, "int"): + with pytest.raises(TypeError, match="int"): arr[0] = 1 @@ -193,5 +193,5 @@ def test_setitem_raises_type(): def tet_sub_period(): arr = period_array(['2000', '2001'], freq='D') other = pd.Period("2000", freq="M") - with tm.assert_raises_regex(IncompatibleFrequency, "freq"): + with pytest.raises(IncompatibleFrequency, match="freq"): arr - other diff --git a/pandas/tests/computation/test_eval.py b/pandas/tests/computation/test_eval.py index eef8646e4d6d2..52945edb14e58 100644 --- a/pandas/tests/computation/test_eval.py +++ b/pandas/tests/computation/test_eval.py @@ -694,12 +694,12 @@ def test_disallow_python_keywords(self): # GH 18221 df = pd.DataFrame([[0, 0, 0]], columns=['foo', 'bar', 'class']) msg = "Python keyword not valid identifier in numexpr query" - with tm.assert_raises_regex(SyntaxError, msg): + with pytest.raises(SyntaxError, match=msg): df.query('class == 0') df = pd.DataFrame() df.index.name = 'lambda' - with tm.assert_raises_regex(SyntaxError, msg): + with pytest.raises(SyntaxError, match=msg): df.query('lambda == 0') @@ -1392,11 +1392,11 @@ def test_cannot_item_assign(self, invalid_target): msg = "Cannot assign expression output to target" expression = "a = 1 + 2" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.eval(expression, target=invalid_target, inplace=True) if hasattr(invalid_target, "copy"): - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.eval(expression, target=invalid_target, inplace=False) @pytest.mark.parametrize("invalid_target", [1, "cat", (1, 3)]) @@ -1404,7 +1404,7 @@ def test_cannot_copy_item(self, invalid_target): msg = "Cannot return a copy of the target" expression = "a = 1 + 2" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.eval(expression, target=invalid_target, inplace=False) @pytest.mark.parametrize("target", [1, "cat", [1, 2], @@ -1415,7 +1415,7 @@ def test_inplace_no_assignment(self, target): assert self.eval(expression, target=target, inplace=False) == 3 msg = "Cannot operate inplace if there is no assignment" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.eval(expression, target=target, inplace=True) def test_basic_period_index_boolean_expression(self): @@ -1692,17 +1692,18 @@ def test_result_types2(self): def test_undefined_func(self): df = DataFrame({'a': np.random.randn(10)}) - with tm.assert_raises_regex( - ValueError, "\"mysin\" is not a supported function"): + msg = "\"mysin\" is not a supported function" + + with pytest.raises(ValueError, match=msg): df.eval("mysin(a)", engine=self.engine, parser=self.parser) def test_keyword_arg(self): df = DataFrame({'a': np.random.randn(10)}) - with tm.assert_raises_regex(TypeError, - "Function \"sin\" does not support " - "keyword arguments"): + msg = "Function \"sin\" does not support keyword arguments" + + with pytest.raises(TypeError, match=msg): df.eval("sin(x=a)", engine=self.engine, parser=self.parser) @@ -1763,16 +1764,16 @@ def test_no_new_globals(self, engine, parser): @td.skip_if_no_ne def test_invalid_engine(): - tm.assert_raises_regex(KeyError, 'Invalid engine \'asdf\' passed', - pd.eval, 'x + y', local_dict={'x': 1, 'y': 2}, - engine='asdf') + msg = 'Invalid engine \'asdf\' passed' + with pytest.raises(KeyError, match=msg): + pd.eval('x + y', local_dict={'x': 1, 'y': 2}, engine='asdf') @td.skip_if_no_ne def test_invalid_parser(): - tm.assert_raises_regex(KeyError, 'Invalid parser \'asdf\' passed', - pd.eval, 'x + y', local_dict={'x': 1, 'y': 2}, - parser='asdf') + msg = 'Invalid parser \'asdf\' passed' + with pytest.raises(KeyError, match=msg): + pd.eval('x + y', local_dict={'x': 1, 'y': 2}, parser='asdf') _parsers = {'python': PythonExprVisitor, 'pytables': pytables.ExprVisitor, @@ -1809,20 +1810,18 @@ def test_invalid_local_variable_reference(engine, parser): for _expr in exprs: if parser != 'pandas': - with tm.assert_raises_regex(SyntaxError, - "The '@' prefix is only"): + with pytest.raises(SyntaxError, match="The '@' prefix is only"): pd.eval(_expr, engine=engine, parser=parser) else: - with tm.assert_raises_regex(SyntaxError, - "The '@' prefix is not"): + with pytest.raises(SyntaxError, match="The '@' prefix is not"): pd.eval(_expr, engine=engine, parser=parser) def test_numexpr_builtin_raises(engine, parser): sin, dotted_line = 1, 2 if engine == 'numexpr': - with tm.assert_raises_regex(NumExprClobberingError, - 'Variables in expression .+'): + msg = 'Variables in expression .+' + with pytest.raises(NumExprClobberingError, match=msg): pd.eval('sin + dotted_line', engine=engine, parser=parser) else: res = pd.eval('sin + dotted_line', engine=engine, parser=parser) @@ -1831,21 +1830,20 @@ def test_numexpr_builtin_raises(engine, parser): def test_bad_resolver_raises(engine, parser): cannot_resolve = 42, 3.0 - with tm.assert_raises_regex(TypeError, 'Resolver of type .+'): + with pytest.raises(TypeError, match='Resolver of type .+'): pd.eval('1 + 2', resolvers=cannot_resolve, engine=engine, parser=parser) def test_empty_string_raises(engine, parser): # GH 13139 - with tm.assert_raises_regex(ValueError, - 'expr cannot be an empty string'): + with pytest.raises(ValueError, match="expr cannot be an empty string"): pd.eval('', engine=engine, parser=parser) def test_more_than_one_expression_raises(engine, parser): - with tm.assert_raises_regex(SyntaxError, - 'only a single expression is allowed'): + with pytest.raises(SyntaxError, match=("only a single expression " + "is allowed")): pd.eval('1 + 1; 2 + 2', engine=engine, parser=parser) diff --git a/pandas/tests/dtypes/test_common.py b/pandas/tests/dtypes/test_common.py index b5353e34a2311..4dd55321dc71f 100644 --- a/pandas/tests/dtypes/test_common.py +++ b/pandas/tests/dtypes/test_common.py @@ -9,7 +9,6 @@ from pandas.core.sparse.api import SparseDtype import pandas.core.dtypes.common as com -import pandas.util.testing as tm import pandas.util._test_decorators as td @@ -19,7 +18,7 @@ class TestPandasDtype(object): # Per issue GH15520 @pytest.mark.parametrize('box', [pd.Timestamp, 'pd.Timestamp', list]) def test_invalid_dtype_error(self, box): - with tm.assert_raises_regex(TypeError, 'not understood'): + with pytest.raises(TypeError, match='not understood'): com.pandas_dtype(box) @pytest.mark.parametrize('dtype', [ diff --git a/pandas/tests/dtypes/test_dtypes.py b/pandas/tests/dtypes/test_dtypes.py index 2927442f9b6ee..c70a549234a44 100644 --- a/pandas/tests/dtypes/test_dtypes.py +++ b/pandas/tests/dtypes/test_dtypes.py @@ -95,8 +95,8 @@ def test_construction_from_string(self): TypeError, lambda: CategoricalDtype.construct_from_string('foo')) def test_constructor_invalid(self): - with tm.assert_raises_regex(TypeError, - "CategoricalIndex.* must be called"): + msg = "CategoricalIndex.* must be called" + with pytest.raises(TypeError, match=msg): CategoricalDtype("category") def test_is_dtype(self): @@ -455,12 +455,12 @@ def test_construction_not_supported(self, subtype): # GH 19016 msg = ('category, object, and string subtypes are not supported ' 'for IntervalDtype') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): IntervalDtype(subtype) def test_construction_errors(self): msg = 'could not construct IntervalDtype' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): IntervalDtype('xx') def test_construction_from_string(self): @@ -475,7 +475,7 @@ def test_construction_from_string_errors(self, string): # these are invalid entirely msg = 'a string needs to be passed, got type' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): IntervalDtype.construct_from_string(string) @pytest.mark.parametrize('string', [ @@ -484,7 +484,7 @@ def test_construction_from_string_error_subtype(self, string): # this is an invalid subtype msg = 'could not construct IntervalDtype' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): IntervalDtype.construct_from_string(string) def test_subclass(self): @@ -698,10 +698,10 @@ def test_categorical_equality_strings(self, categories, ordered, other): assert result is expected def test_invalid_raises(self): - with tm.assert_raises_regex(TypeError, 'ordered'): + with pytest.raises(TypeError, match='ordered'): CategoricalDtype(['a', 'b'], ordered='foo') - with tm.assert_raises_regex(TypeError, 'collection'): + with pytest.raises(TypeError, match='collection'): CategoricalDtype('category') def test_mixed(self): @@ -782,7 +782,7 @@ def test_update_dtype_string(self, ordered): def test_update_dtype_errors(self, bad_dtype): dtype = CategoricalDtype(list('abc'), False) msg = 'a CategoricalDtype must be passed to perform an update, ' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): dtype.update_dtype(bad_dtype) diff --git a/pandas/tests/dtypes/test_inference.py b/pandas/tests/dtypes/test_inference.py index e37efce901cbd..1ff3005722341 100644 --- a/pandas/tests/dtypes/test_inference.py +++ b/pandas/tests/dtypes/test_inference.py @@ -371,7 +371,7 @@ def test_maybe_convert_numeric_infinities(self): tm.assert_numpy_array_equal(out, pos) # too many characters - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): lib.maybe_convert_numeric( np.array(['foo_' + infinity], dtype=object), na_values, maybe_int) diff --git a/pandas/tests/extension/base/constructors.py b/pandas/tests/extension/base/constructors.py index 076be53a4a72f..3b966cd8d4774 100644 --- a/pandas/tests/extension/base/constructors.py +++ b/pandas/tests/extension/base/constructors.py @@ -2,7 +2,6 @@ import pandas as pd from pandas.core.internals import ExtensionBlock -import pandas.util.testing as tm from .base import BaseExtensionTests @@ -43,7 +42,7 @@ def test_dataframe_from_series(self, data): def test_series_given_mismatched_index_raises(self, data): msg = 'Length of passed values is 3, index implies 5' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.Series(data[:3], index=[0, 1, 2, 3, 4]) def test_from_dtype(self, data): diff --git a/pandas/tests/extension/base/getitem.py b/pandas/tests/extension/base/getitem.py index 00bb3b5d4eec2..dfc82c6041eae 100644 --- a/pandas/tests/extension/base/getitem.py +++ b/pandas/tests/extension/base/getitem.py @@ -2,7 +2,6 @@ import pytest import pandas as pd -import pandas.util.testing as tm from .base import BaseExtensionTests @@ -168,7 +167,7 @@ def test_take(self, data, na_value, na_cmp): assert result[0] == data[0] assert na_cmp(result[1], na_value) - with tm.assert_raises_regex(IndexError, "out of bounds"): + with pytest.raises(IndexError, match="out of bounds"): data.take([len(data) + 1]) def test_take_empty(self, data, na_value, na_cmp): @@ -180,7 +179,7 @@ def test_take_empty(self, data, na_value, na_cmp): with pytest.raises(IndexError): empty.take([-1]) - with tm.assert_raises_regex(IndexError, "cannot do a non-empty take"): + with pytest.raises(IndexError, match="cannot do a non-empty take"): empty.take([0, 1]) def test_take_negative(self, data): diff --git a/pandas/tests/extension/base/methods.py b/pandas/tests/extension/base/methods.py index 60de5d4db03d9..e9a89c1af2f22 100644 --- a/pandas/tests/extension/base/methods.py +++ b/pandas/tests/extension/base/methods.py @@ -125,8 +125,8 @@ def test_fillna_copy_series(self, data_missing): assert ser._values is arr def test_fillna_length_mismatch(self, data_missing): - with (tm.assert_raises_regex(ValueError, - "Length of 'value' does not match.")): + msg = "Length of 'value' does not match." + with pytest.raises(ValueError, match=msg): data_missing.fillna(data_missing.take([1])) def test_combine_le(self, data_repeated): diff --git a/pandas/tests/extension/base/setitem.py b/pandas/tests/extension/base/setitem.py index 72316b5b7eb91..3d798b2af5c43 100644 --- a/pandas/tests/extension/base/setitem.py +++ b/pandas/tests/extension/base/setitem.py @@ -4,7 +4,6 @@ import pytest import pandas as pd -import pandas.util.testing as tm from .base import BaseExtensionTests @@ -34,12 +33,12 @@ def test_setitem_sequence_mismatched_length_raises(self, data, as_array): value = data._from_sequence(value) xpr = 'cannot set using a {} indexer with a different length' - with tm.assert_raises_regex(ValueError, xpr.format('list-like')): + with pytest.raises(ValueError, match=xpr.format('list-like')): ser[[0, 1]] = value # Ensure no modifications made before the exception self.assert_series_equal(ser, original) - with tm.assert_raises_regex(ValueError, xpr.format('slice')): + with pytest.raises(ValueError, match=xpr.format('slice')): ser[slice(3)] = value self.assert_series_equal(ser, original) @@ -164,7 +163,7 @@ def test_setitem_expand_with_extension(self, data): def test_setitem_frame_invalid_length(self, data): df = pd.DataFrame({"A": [1] * len(data)}) xpr = "Length of values does not match length of index" - with tm.assert_raises_regex(ValueError, xpr): + with pytest.raises(ValueError, match=xpr): df['B'] = data[:5] @pytest.mark.xfail(reason="GH#20441: setitem on extension types.", diff --git a/pandas/tests/extension/decimal/test_decimal.py b/pandas/tests/extension/decimal/test_decimal.py index af5f6bf0a2f65..01efd7ec7e590 100644 --- a/pandas/tests/extension/decimal/test_decimal.py +++ b/pandas/tests/extension/decimal/test_decimal.py @@ -207,7 +207,7 @@ class TestSetitem(BaseDecimal, base.BaseSetitemTests): def test_series_constructor_coerce_data_to_extension_dtype_raises(): xpr = ("Cannot cast data to extension dtype 'decimal'. Pass the " "extension array directly.") - with tm.assert_raises_regex(ValueError, xpr): + with pytest.raises(ValueError, match=xpr): pd.Series([0, 1, 2], dtype=DecimalDtype()) diff --git a/pandas/tests/extension/json/test_json.py b/pandas/tests/extension/json/test_json.py index b7c61496f0bf0..a9fb22bb72497 100644 --- a/pandas/tests/extension/json/test_json.py +++ b/pandas/tests/extension/json/test_json.py @@ -272,7 +272,7 @@ def test_error(self, data, all_arithmetic_operators): def test_add_series_with_extension_array(self, data): ser = pd.Series(data) - with tm.assert_raises_regex(TypeError, "unsupported"): + with pytest.raises(TypeError, match="unsupported"): ser + data def _check_divmod_op(self, s, op, other, exc=NotImplementedError): diff --git a/pandas/tests/extension/test_categorical.py b/pandas/tests/extension/test_categorical.py index b1d08a5620bf3..7fd389e19325c 100644 --- a/pandas/tests/extension/test_categorical.py +++ b/pandas/tests/extension/test_categorical.py @@ -22,7 +22,6 @@ from pandas import Categorical from pandas.api.types import CategoricalDtype from pandas.tests.extension import base -import pandas.util.testing as tm def make_data(): @@ -213,7 +212,7 @@ def test_arith_series_with_scalar(self, data, all_arithmetic_operators): def test_add_series_with_extension_array(self, data): ser = pd.Series(data) - with tm.assert_raises_regex(TypeError, "cannot perform"): + with pytest.raises(TypeError, match="cannot perform"): ser + data def _check_divmod_op(self, s, op, other, exc=NotImplementedError): diff --git a/pandas/tests/extension/test_interval.py b/pandas/tests/extension/test_interval.py index 2c7bc79c324b4..d67c0d0a9c05a 100644 --- a/pandas/tests/extension/test_interval.py +++ b/pandas/tests/extension/test_interval.py @@ -21,7 +21,6 @@ from pandas import Interval from pandas.core.arrays import IntervalArray from pandas.tests.extension import base -import pandas.util.testing as tm def make_data(): @@ -137,7 +136,7 @@ def test_fillna_series(self): def test_non_scalar_raises(self, data_missing): msg = "Got a 'list' instead." - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): data_missing.fillna([1, 1]) diff --git a/pandas/tests/extension/test_period.py b/pandas/tests/extension/test_period.py index 3de3f1dfd9dbc..2e629ccb2981e 100644 --- a/pandas/tests/extension/test_period.py +++ b/pandas/tests/extension/test_period.py @@ -8,7 +8,6 @@ import pandas as pd from pandas.core.arrays import PeriodArray from pandas.tests.extension import base -import pandas.util.testing as tm @pytest.fixture @@ -114,7 +113,7 @@ def test_add_series_with_extension_array(self, data): s = pd.Series(data) msg = (r"unsupported operand type\(s\) for \+: " r"\'PeriodArray\' and \'PeriodArray\'") - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): s + data def test_error(self): diff --git a/pandas/tests/frame/test_alter_axes.py b/pandas/tests/frame/test_alter_axes.py index 0752c125b75eb..2b4d1e6f25c65 100644 --- a/pandas/tests/frame/test_alter_axes.py +++ b/pandas/tests/frame/test_alter_axes.py @@ -29,7 +29,7 @@ def test_set_index_directly(self, float_string_frame): df.index = idx tm.assert_index_equal(df.index, idx) - with tm.assert_raises_regex(ValueError, 'Length mismatch'): + with pytest.raises(ValueError, match='Length mismatch'): df.index = idx[::2] def test_set_index(self, float_string_frame): @@ -38,7 +38,7 @@ def test_set_index(self, float_string_frame): df = df.set_index(idx) tm.assert_index_equal(df.index, idx) - with tm.assert_raises_regex(ValueError, 'Length mismatch'): + with pytest.raises(ValueError, match='Length mismatch'): df.set_index(idx[::2]) def test_set_index_cast(self): @@ -134,7 +134,7 @@ def test_set_index_pass_single_array(self, frame_of_index_cols, if box == list: # list of strings gets interpreted as list of keys msg = "['one', 'two', 'three', 'one', 'two']" - with tm.assert_raises_regex(KeyError, msg): + with pytest.raises(KeyError, match=msg): df.set_index(key, drop=drop, append=append) else: # np.array/tuple/iter/list-of-list "forget" the name of B @@ -232,12 +232,10 @@ def test_set_index_pass_multiindex(self, frame_of_index_cols, def test_set_index_verify_integrity(self, frame_of_index_cols): df = frame_of_index_cols - with tm.assert_raises_regex(ValueError, - 'Index has duplicate keys'): + with pytest.raises(ValueError, match='Index has duplicate keys'): df.set_index('A', verify_integrity=True) # with MultiIndex - with tm.assert_raises_regex(ValueError, - 'Index has duplicate keys'): + with pytest.raises(ValueError, match='Index has duplicate keys'): df.set_index([df['A'], df['A']], verify_integrity=True) @pytest.mark.parametrize('append', [True, False]) @@ -245,21 +243,21 @@ def test_set_index_verify_integrity(self, frame_of_index_cols): def test_set_index_raise(self, frame_of_index_cols, drop, append): df = frame_of_index_cols - with tm.assert_raises_regex(KeyError, "['foo', 'bar', 'baz']"): + with pytest.raises(KeyError, match="['foo', 'bar', 'baz']"): # column names are A-E, as well as one tuple df.set_index(['foo', 'bar', 'baz'], drop=drop, append=append) # non-existent key in list with arrays - with tm.assert_raises_regex(KeyError, 'X'): + with pytest.raises(KeyError, match='X'): df.set_index([df['A'], df['B'], 'X'], drop=drop, append=append) msg = 'The parameter "keys" may only contain a combination of.*' # forbidden type, e.g. set - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): df.set_index(set(df['A']), drop=drop, append=append) # forbidden type in list, e.g. set - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): df.set_index(['A', df['A'], set(df['A'])], drop=drop, append=append) @@ -427,7 +425,7 @@ def test_set_index_empty_column(self): def test_set_columns(self, float_string_frame): cols = Index(np.arange(len(float_string_frame.columns))) float_string_frame.columns = cols - with tm.assert_raises_regex(ValueError, 'Length mismatch'): + with pytest.raises(ValueError, match='Length mismatch'): float_string_frame.columns = cols[::2] def test_dti_set_index_reindex(self): @@ -575,13 +573,13 @@ def test_rename_axis_mapper(self): assert result.columns.name == 'meh' # Test different error cases - with tm.assert_raises_regex(TypeError, 'Must pass'): + with pytest.raises(TypeError, match='Must pass'): df.rename_axis(index='wrong') - with tm.assert_raises_regex(ValueError, 'Length of names'): + with pytest.raises(ValueError, match='Length of names'): df.rename_axis(index=['wrong']) - with tm.assert_raises_regex(TypeError, 'bogus'): + with pytest.raises(TypeError, match='bogus'): df.rename_axis(bogus=None) def test_rename_multiindex(self): @@ -858,9 +856,9 @@ def test_reset_index_level(self): # Missing levels - for both MultiIndex and single-level Index: for idx_lev in ['A', 'B'], ['A']: - with tm.assert_raises_regex(KeyError, 'Level E '): + with pytest.raises(KeyError, match='Level E '): df.set_index(idx_lev).reset_index(level=['A', 'E']) - with tm.assert_raises_regex(IndexError, 'Too many levels'): + with pytest.raises(IndexError, match='Too many levels'): df.set_index(idx_lev).reset_index(level=[0, 1, 2]) def test_reset_index_right_dtype(self): @@ -1054,35 +1052,35 @@ def test_rename_positional_named(self): tm.assert_frame_equal(result, expected) def test_rename_axis_style_raises(self): - # https://github.com/pandas-dev/pandas/issues/12392 - df = DataFrame({"A": [1, 2], "B": [1, 2]}, index=['0', '1']) + # see gh-12392 + df = DataFrame({"A": [1, 2], "B": [1, 2]}, index=["0", "1"]) # Named target and axis - with tm.assert_raises_regex(TypeError, None): + over_spec_msg = ("Cannot specify both 'axis' and " + "any of 'index' or 'columns'") + with pytest.raises(TypeError, match=over_spec_msg): df.rename(index=str.lower, axis=1) - with tm.assert_raises_regex(TypeError, None): - df.rename(index=str.lower, axis='columns') - - with tm.assert_raises_regex(TypeError, None): - df.rename(index=str.lower, axis='columns') + with pytest.raises(TypeError, match=over_spec_msg): + df.rename(index=str.lower, axis="columns") - with tm.assert_raises_regex(TypeError, None): - df.rename(columns=str.lower, axis='columns') + with pytest.raises(TypeError, match=over_spec_msg): + df.rename(columns=str.lower, axis="columns") - with tm.assert_raises_regex(TypeError, None): + with pytest.raises(TypeError, match=over_spec_msg): df.rename(index=str.lower, axis=0) # Multiple targets and axis - with tm.assert_raises_regex(TypeError, None): - df.rename(str.lower, str.lower, axis='columns') + with pytest.raises(TypeError, match=over_spec_msg): + df.rename(str.lower, str.lower, axis="columns") # Too many targets - with tm.assert_raises_regex(TypeError, None): + over_spec_msg = "Cannot specify all of 'mapper', 'index', 'columns'." + with pytest.raises(TypeError, match=over_spec_msg): df.rename(str.lower, str.lower, str.lower) # Duplicates - with tm.assert_raises_regex(TypeError, "multiple values"): + with pytest.raises(TypeError, match="multiple values"): df.rename(id, mapper=id) def test_reindex_api_equivalence(self): @@ -1279,7 +1277,7 @@ def test_set_axis_inplace(self): # wrong values for the "axis" parameter for axis in 3, 'foo': - with tm.assert_raises_regex(ValueError, 'No axis named'): + with pytest.raises(ValueError, match='No axis named'): df.set_axis(list('abc'), axis=axis, inplace=False) def test_set_axis_prior_to_deprecation_signature(self): diff --git a/pandas/tests/frame/test_analytics.py b/pandas/tests/frame/test_analytics.py index ab4eaf02f38dd..c9481fef4aa36 100644 --- a/pandas/tests/frame/test_analytics.py +++ b/pandas/tests/frame/test_analytics.py @@ -101,7 +101,8 @@ def wrapper(x): assert lcd_dtype == result1.dtype # bad axis - tm.assert_raises_regex(ValueError, 'No axis named 2', f, axis=2) + with pytest.raises(ValueError, match='No axis named 2'): + f(axis=2) # all NA case if has_skipna: @@ -189,7 +190,8 @@ def wrapper(x): check_dtype=False) # bad axis - tm.assert_raises_regex(ValueError, 'No axis named 2', f, axis=2) + with pytest.raises(ValueError, match='No axis named 2'): + f(axis=2) # all NA case if has_skipna: @@ -343,7 +345,7 @@ def test_corr_invalid_method(self): df = pd.DataFrame(np.random.normal(size=(10, 2))) msg = ("method must be either 'pearson', 'spearman', " "or 'kendall'") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.corr(method="____") def test_cov(self, float_frame, float_string_frame): @@ -1469,7 +1471,7 @@ def test_any_all_level_axis_none_raises(self, method): names=['out', 'in']) ) xpr = "Must specify 'axis' when aggregating by level." - with tm.assert_raises_regex(ValueError, xpr): + with pytest.raises(ValueError, match=xpr): getattr(df, method)(axis=None, level='out') # ---------------------------------------------------------------------- @@ -1757,7 +1759,7 @@ def test_numpy_round(self): tm.assert_frame_equal(out, expected) msg = "the 'out' parameter is not supported" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): np.round(df, decimals=0, out=df) def test_round_mixed_type(self): @@ -1997,8 +1999,7 @@ def test_dot(self): expected = a.dot(a.iloc[0]) tm.assert_series_equal(result, expected) - with tm.assert_raises_regex(ValueError, - 'Dot product shape mismatch'): + with pytest.raises(ValueError, match='Dot product shape mismatch'): a.dot(row[:-1]) a = np.random.rand(1, 5) @@ -2015,7 +2016,7 @@ def test_dot(self): df = DataFrame(randn(3, 4), index=[1, 2, 3], columns=lrange(4)) df2 = DataFrame(randn(5, 3), index=lrange(5), columns=[1, 2, 3]) - with tm.assert_raises_regex(ValueError, 'aligned'): + with pytest.raises(ValueError, match='aligned'): df.dot(df2) @pytest.mark.skipif(not PY35, @@ -2075,7 +2076,7 @@ def test_matmul(self): df = DataFrame(randn(3, 4), index=[1, 2, 3], columns=lrange(4)) df2 = DataFrame(randn(5, 3), index=lrange(5), columns=[1, 2, 3]) - with tm.assert_raises_regex(ValueError, 'aligned'): + with pytest.raises(ValueError, match='aligned'): operator.matmul(df, df2) @@ -2144,7 +2145,7 @@ def test_n(self, df_strings, nselect_method, n, order): error_msg = self.dtype_error_msg_template.format( column='b', method=nselect_method, dtype='object') - with tm.assert_raises_regex(TypeError, error_msg): + with pytest.raises(TypeError, match=error_msg): getattr(df, nselect_method)(n, order) else: ascending = nselect_method == 'nsmallest' @@ -2162,7 +2163,7 @@ def test_n_error(self, df_main_dtypes, nselect_method, columns): # escape some characters that may be in the repr error_msg = (error_msg.replace('(', '\\(').replace(")", "\\)") .replace("[", "\\[").replace("]", "\\]")) - with tm.assert_raises_regex(TypeError, error_msg): + with pytest.raises(TypeError, match=error_msg): getattr(df, nselect_method)(2, columns) def test_n_all_dtypes(self, df_main_dtypes): diff --git a/pandas/tests/frame/test_api.py b/pandas/tests/frame/test_api.py index d6d932d235eec..295a603850984 100644 --- a/pandas/tests/frame/test_api.py +++ b/pandas/tests/frame/test_api.py @@ -107,14 +107,17 @@ def test_get_axis(self, float_frame): assert f._get_axis(0) is f.index assert f._get_axis(1) is f.columns - tm.assert_raises_regex( - ValueError, 'No axis named', f._get_axis_number, 2) - tm.assert_raises_regex( - ValueError, 'No axis.*foo', f._get_axis_name, 'foo') - tm.assert_raises_regex( - ValueError, 'No axis.*None', f._get_axis_name, None) - tm.assert_raises_regex(ValueError, 'No axis named', - f._get_axis_number, None) + with pytest.raises(ValueError, match='No axis named'): + f._get_axis_number(2) + + with pytest.raises(ValueError, match='No axis.*foo'): + f._get_axis_name('foo') + + with pytest.raises(ValueError, match='No axis.*None'): + f._get_axis_name(None) + + with pytest.raises(ValueError, match='No axis named'): + f._get_axis_number(None) def test_keys(self, float_frame): getkeys = float_frame.keys diff --git a/pandas/tests/frame/test_arithmetic.py b/pandas/tests/frame/test_arithmetic.py index b71af4b777022..3cdb223a813b7 100644 --- a/pandas/tests/frame/test_arithmetic.py +++ b/pandas/tests/frame/test_arithmetic.py @@ -173,7 +173,7 @@ def _check_unaligned_frame(meth, op, df, other): # NAs msg = "Unable to coerce to Series/DataFrame" tm.assert_frame_equal(f(np.nan), o(df, np.nan)) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): f(ndim_5) # Series @@ -382,7 +382,7 @@ def test_arith_flex_frame_raise(self, all_arithmetic_operators, for dim in range(3, 6): arr = np.ones((1,) * dim) msg = "Unable to coerce to Series/DataFrame" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): getattr(float_frame, op)(arr) def test_arith_flex_frame_corner(self, float_frame): @@ -397,10 +397,10 @@ def test_arith_flex_frame_corner(self, float_frame): result = float_frame[:0].add(float_frame) tm.assert_frame_equal(result, float_frame * np.nan) - with tm.assert_raises_regex(NotImplementedError, 'fill_value'): + with pytest.raises(NotImplementedError, match='fill_value'): float_frame.add(float_frame.iloc[0], fill_value=3) - with tm.assert_raises_regex(NotImplementedError, 'fill_value'): + with pytest.raises(NotImplementedError, match='fill_value'): float_frame.add(float_frame.iloc[0], axis='index', fill_value=3) def test_arith_flex_series(self, simple_frame): @@ -441,10 +441,10 @@ def test_arith_flex_zero_len_raises(self): df_len0 = pd.DataFrame([], columns=['A', 'B']) df = pd.DataFrame([[1, 2], [3, 4]], columns=['A', 'B']) - with tm.assert_raises_regex(NotImplementedError, 'fill_value'): + with pytest.raises(NotImplementedError, match='fill_value'): df.add(ser_len0, fill_value='E') - with tm.assert_raises_regex(NotImplementedError, 'fill_value'): + with pytest.raises(NotImplementedError, match='fill_value'): df_len0.sub(df['A'], axis=None, fill_value=3) diff --git a/pandas/tests/frame/test_axis_select_reindex.py b/pandas/tests/frame/test_axis_select_reindex.py index 6186ce4d45ef2..de6ac251d117b 100644 --- a/pandas/tests/frame/test_axis_select_reindex.py +++ b/pandas/tests/frame/test_axis_select_reindex.py @@ -476,36 +476,36 @@ def test_reindex_positional_warns(self): def test_reindex_axis_style_raises(self): # https://github.com/pandas-dev/pandas/issues/12392 df = pd.DataFrame({"A": [1, 2, 3], 'B': [4, 5, 6]}) - with tm.assert_raises_regex(TypeError, "Cannot specify both 'axis'"): + with pytest.raises(TypeError, match="Cannot specify both 'axis'"): df.reindex([0, 1], ['A'], axis=1) - with tm.assert_raises_regex(TypeError, "Cannot specify both 'axis'"): + with pytest.raises(TypeError, match="Cannot specify both 'axis'"): df.reindex([0, 1], ['A'], axis='index') - with tm.assert_raises_regex(TypeError, "Cannot specify both 'axis'"): + with pytest.raises(TypeError, match="Cannot specify both 'axis'"): df.reindex(index=[0, 1], axis='index') - with tm.assert_raises_regex(TypeError, "Cannot specify both 'axis'"): + with pytest.raises(TypeError, match="Cannot specify both 'axis'"): df.reindex(index=[0, 1], axis='columns') - with tm.assert_raises_regex(TypeError, "Cannot specify both 'axis'"): + with pytest.raises(TypeError, match="Cannot specify both 'axis'"): df.reindex(columns=[0, 1], axis='columns') - with tm.assert_raises_regex(TypeError, "Cannot specify both 'axis'"): + with pytest.raises(TypeError, match="Cannot specify both 'axis'"): df.reindex(index=[0, 1], columns=[0, 1], axis='columns') - with tm.assert_raises_regex(TypeError, 'Cannot specify all'): + with pytest.raises(TypeError, match='Cannot specify all'): df.reindex([0, 1], [0], ['A']) # Mixing styles - with tm.assert_raises_regex(TypeError, "Cannot specify both 'axis'"): + with pytest.raises(TypeError, match="Cannot specify both 'axis'"): df.reindex(index=[0, 1], axis='index') - with tm.assert_raises_regex(TypeError, "Cannot specify both 'axis'"): + with pytest.raises(TypeError, match="Cannot specify both 'axis'"): df.reindex(index=[0, 1], axis='columns') # Duplicates - with tm.assert_raises_regex(TypeError, "multiple values"): + with pytest.raises(TypeError, match="multiple values"): df.reindex([0, 1], labels=[0, 1]) def test_reindex_single_named_indexer(self): @@ -820,23 +820,23 @@ def test_filter(self): tm.assert_frame_equal(filtered, expected) # pass in None - with tm.assert_raises_regex(TypeError, 'Must pass'): + with pytest.raises(TypeError, match='Must pass'): self.frame.filter() - with tm.assert_raises_regex(TypeError, 'Must pass'): + with pytest.raises(TypeError, match='Must pass'): self.frame.filter(items=None) - with tm.assert_raises_regex(TypeError, 'Must pass'): + with pytest.raises(TypeError, match='Must pass'): self.frame.filter(axis=1) # test mutually exclusive arguments - with tm.assert_raises_regex(TypeError, 'mutually exclusive'): + with pytest.raises(TypeError, match='mutually exclusive'): self.frame.filter(items=['one', 'three'], regex='e$', like='bbi') - with tm.assert_raises_regex(TypeError, 'mutually exclusive'): + with pytest.raises(TypeError, match='mutually exclusive'): self.frame.filter(items=['one', 'three'], regex='e$', axis=1) - with tm.assert_raises_regex(TypeError, 'mutually exclusive'): + with pytest.raises(TypeError, match='mutually exclusive'): self.frame.filter(items=['one', 'three'], regex='e$') - with tm.assert_raises_regex(TypeError, 'mutually exclusive'): + with pytest.raises(TypeError, match='mutually exclusive'): self.frame.filter(items=['one', 'three'], like='bbi', axis=0) - with tm.assert_raises_regex(TypeError, 'mutually exclusive'): + with pytest.raises(TypeError, match='mutually exclusive'): self.frame.filter(items=['one', 'three'], like='bbi') # objects @@ -1160,5 +1160,5 @@ def test_drop_empty_list(self, index, drop_labels): @pytest.mark.parametrize('drop_labels', [[1, 4], [4, 5]]) def test_drop_non_empty_list(self, index, drop_labels): # GH 21494 - with tm.assert_raises_regex(KeyError, 'not found in axis'): + with pytest.raises(KeyError, match='not found in axis'): pd.DataFrame(index=index).drop(drop_labels) diff --git a/pandas/tests/frame/test_block_internals.py b/pandas/tests/frame/test_block_internals.py index 8a7d7d790a1b4..224e56777f6b4 100644 --- a/pandas/tests/frame/test_block_internals.py +++ b/pandas/tests/frame/test_block_internals.py @@ -474,7 +474,7 @@ def test_convert_objects(self, float_string_frame): # via astype, but errors converted = float_string_frame.copy() - with tm.assert_raises_regex(ValueError, 'invalid literal'): + with pytest.raises(ValueError, match='invalid literal'): converted['H'].astype('int32') # mixed in a single column diff --git a/pandas/tests/frame/test_combine_concat.py b/pandas/tests/frame/test_combine_concat.py index 3b8d6e6c55ed1..22c5d146e1a06 100644 --- a/pandas/tests/frame/test_combine_concat.py +++ b/pandas/tests/frame/test_combine_concat.py @@ -127,13 +127,13 @@ def test_append_series_dict(self): columns=['foo', 'bar', 'baz', 'qux']) series = df.loc[4] - with tm.assert_raises_regex(ValueError, - 'Indexes have overlapping values'): + msg = 'Indexes have overlapping values' + with pytest.raises(ValueError, match=msg): df.append(series, verify_integrity=True) + series.name = None - with tm.assert_raises_regex(TypeError, - 'Can only append a Series if ' - 'ignore_index=True'): + msg = 'Can only append a Series if ignore_index=True' + with pytest.raises(TypeError, match=msg): df.append(series, verify_integrity=True) result = df.append(series[::-1], ignore_index=True) @@ -321,7 +321,7 @@ def test_update_raise(self): other = DataFrame([[2., nan], [nan, 7]], index=[1, 3], columns=[1, 2]) - with tm.assert_raises_regex(ValueError, "Data overlaps"): + with pytest.raises(ValueError, match="Data overlaps"): df.update(other, raise_conflict=True) def test_update_from_non_df(self): @@ -470,7 +470,7 @@ def test_concat_axis_parameter(self): assert_frame_equal(concatted_1_series, expected_columns_series) # Testing ValueError - with tm.assert_raises_regex(ValueError, 'No axis named'): + with pytest.raises(ValueError, match='No axis named'): pd.concat([series1, series2], axis='something') def test_concat_numerical_names(self): diff --git a/pandas/tests/frame/test_constructors.py b/pandas/tests/frame/test_constructors.py index 442ce27a730a6..c71d5d9f977f6 100644 --- a/pandas/tests/frame/test_constructors.py +++ b/pandas/tests/frame/test_constructors.py @@ -292,10 +292,10 @@ def test_constructor_dict(self): # GH10856 # dict with scalar values should raise error, even if columns passed msg = 'If using all scalar values, you must pass an index' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame({'a': 0.7}) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame({'a': 0.7}, columns=['a']) @pytest.mark.parametrize("scalar", [2, np.nan, None, 'D']) @@ -377,40 +377,43 @@ def test_constructor_multi_index(self): def test_constructor_error_msgs(self): msg = "Empty data passed with indices specified." # passing an empty array with columns specified. - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame(np.empty(0), columns=list('abc')) msg = "Mixing dicts with non-Series may lead to ambiguous ordering." # mix dict and array, wrong size - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame({'A': {'a': 'a', 'b': 'b'}, 'B': ['a', 'b', 'c']}) # wrong size ndarray, GH 3105 msg = r"Shape of passed values is \(3, 4\), indices imply \(3, 3\)" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame(np.arange(12).reshape((4, 3)), columns=['foo', 'bar', 'baz'], index=pd.date_range('2000-01-01', periods=3)) # higher dim raise exception - with tm.assert_raises_regex(ValueError, 'Must pass 2-d input'): + with pytest.raises(ValueError, match='Must pass 2-d input'): DataFrame(np.zeros((3, 3, 3)), columns=['A', 'B', 'C'], index=[1]) # wrong size axis labels - with tm.assert_raises_regex(ValueError, "Shape of passed values " - r"is \(3, 2\), indices " - r"imply \(3, 1\)"): + msg = ("Shape of passed values " + r"is \(3, 2\), indices " + r"imply \(3, 1\)") + with pytest.raises(ValueError, match=msg): DataFrame(np.random.rand(2, 3), columns=['A', 'B', 'C'], index=[1]) - with tm.assert_raises_regex(ValueError, "Shape of passed values " - r"is \(3, 2\), indices " - r"imply \(2, 2\)"): + msg = ("Shape of passed values " + r"is \(3, 2\), indices " + r"imply \(2, 2\)") + with pytest.raises(ValueError, match=msg): DataFrame(np.random.rand(2, 3), columns=['A', 'B'], index=[1, 2]) - with tm.assert_raises_regex(ValueError, "If using all scalar " - "values, you must pass " - "an index"): + msg = ("If using all scalar " + "values, you must pass " + "an index") + with pytest.raises(ValueError, match=msg): DataFrame({'a': False, 'b': True}) def test_constructor_with_embedded_frames(self): @@ -637,14 +640,14 @@ def _check_basic_constructor(self, empty): # wrong size axis labels msg = r'Shape of passed values is \(3, 2\), indices imply \(3, 1\)' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame(mat, columns=['A', 'B', 'C'], index=[1]) msg = r'Shape of passed values is \(3, 2\), indices imply \(2, 2\)' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame(mat, columns=['A', 'B'], index=[1, 2]) # higher dim raise exception - with tm.assert_raises_regex(ValueError, 'Must pass 2-d input'): + with pytest.raises(ValueError, match='Must pass 2-d input'): DataFrame(empty((3, 3, 3)), columns=['A', 'B', 'C'], index=[1]) @@ -829,7 +832,7 @@ def test_constructor_arrays_and_scalars(self): exp = DataFrame({'a': df['a'].values, 'b': [True] * 10}) tm.assert_frame_equal(df, exp) - with tm.assert_raises_regex(ValueError, 'must pass an index'): + with pytest.raises(ValueError, match='must pass an index'): DataFrame({'a': False, 'b': True}) def test_constructor_DataFrame(self): @@ -862,7 +865,7 @@ def test_constructor_more(self): # can't cast mat = np.array(['foo', 'bar'], dtype=object).reshape(2, 1) - with tm.assert_raises_regex(ValueError, 'cast'): + with pytest.raises(ValueError, match='cast'): DataFrame(mat, index=[0, 1], columns=[0], dtype=float) dm = DataFrame(DataFrame(self.frame._series)) @@ -1108,8 +1111,7 @@ class CustomDict(dict): def test_constructor_ragged(self): data = {'A': randn(10), 'B': randn(8)} - with tm.assert_raises_regex(ValueError, - 'arrays must all be same length'): + with pytest.raises(ValueError, match='arrays must all be same length'): DataFrame(data) def test_constructor_scalar(self): @@ -1131,7 +1133,7 @@ def test_constructor_mixed_dict_and_Series(self): assert result.index.is_monotonic # ordering ambiguous, raise exception - with tm.assert_raises_regex(ValueError, 'ambiguous ordering'): + with pytest.raises(ValueError, match='ambiguous ordering'): DataFrame({'A': ['a', 'b'], 'B': {'a': 'a', 'b': 'b'}}) # this is OK though @@ -1185,10 +1187,10 @@ def test_from_dict_columns_parameter(self): tm.assert_frame_equal(result, expected) msg = "cannot use columns parameter with orient='columns'" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame.from_dict(dict([('A', [1, 2]), ('B', [4, 5])]), orient='columns', columns=['one', 'two']) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame.from_dict(dict([('A', [1, 2]), ('B', [4, 5])]), columns=['one', 'two']) @@ -1299,9 +1301,8 @@ def test_constructor_from_items(self): tm.assert_frame_equal(recons, self.mixed_frame) assert recons['A'].dtype == np.float64 - with tm.assert_raises_regex(TypeError, - "Must pass columns with " - "orient='index'"): + msg = "Must pass columns with orient='index'" + with pytest.raises(TypeError, match=msg): with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): DataFrame.from_items(row_items, orient='index') @@ -1331,16 +1332,16 @@ def test_constructor_from_items(self): def test_constructor_from_items_scalars(self): # GH 17312 - with tm.assert_raises_regex(ValueError, - r'The value in each \(key, value\) ' - 'pair must be an array, Series, or dict'): + msg = (r'The value in each \(key, value\) ' + 'pair must be an array, Series, or dict') + with pytest.raises(ValueError, match=msg): with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): DataFrame.from_items([('A', 1), ('B', 4)]) - with tm.assert_raises_regex(ValueError, - r'The value in each \(key, value\) ' - 'pair must be an array, Series, or dict'): + msg = (r'The value in each \(key, value\) ' + 'pair must be an array, Series, or dict') + with pytest.raises(ValueError, match=msg): with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): DataFrame.from_items([('A', 1), ('B', 2)], columns=['col1'], @@ -1363,8 +1364,8 @@ def test_constructor_mix_series_nonseries(self): 'B': list(self.frame['B'])}, columns=['A', 'B']) tm.assert_frame_equal(df, self.frame.loc[:, ['A', 'B']]) - with tm.assert_raises_regex(ValueError, 'does not match ' - 'index length'): + msg = 'does not match index length' + with pytest.raises(ValueError, match=msg): DataFrame({'A': self.frame['A'], 'B': list(self.frame['B'])[:-2]}) def test_constructor_miscast_na_int_dtype(self): @@ -1419,8 +1420,9 @@ def test_constructor_single_value(self): pytest.raises(ValueError, DataFrame, 'a', [1, 2]) pytest.raises(ValueError, DataFrame, 'a', columns=['a', 'c']) - with tm.assert_raises_regex(TypeError, 'incompatible data ' - 'and dtype'): + + msg = 'incompatible data and dtype' + with pytest.raises(TypeError, match=msg): DataFrame('a', [1, 2], ['a', 'c'], float) def test_constructor_with_datetimes(self): @@ -1783,7 +1785,7 @@ def test_from_records_to_records(self): # wrong length msg = r'Shape of passed values is \(3, 2\), indices imply \(3, 1\)' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): DataFrame.from_records(arr, index=index[:-1]) indexed_frame = DataFrame.from_records(arr, index='f1') diff --git a/pandas/tests/frame/test_dtypes.py b/pandas/tests/frame/test_dtypes.py index 2dbf3e9784749..2ad6da084e451 100644 --- a/pandas/tests/frame/test_dtypes.py +++ b/pandas/tests/frame/test_dtypes.py @@ -329,9 +329,8 @@ def test_select_dtypes_not_an_attr_but_still_valid_dtype(self): def test_select_dtypes_empty(self): df = DataFrame({'a': list('abc'), 'b': list(range(1, 4))}) - with tm.assert_raises_regex(ValueError, 'at least one of ' - 'include or exclude ' - 'must be nonempty'): + msg = 'at least one of include or exclude must be nonempty' + with pytest.raises(ValueError, match=msg): df.select_dtypes() def test_select_dtypes_bad_datetime64(self): @@ -341,10 +340,10 @@ def test_select_dtypes_bad_datetime64(self): 'd': np.arange(4.0, 7.0, dtype='float64'), 'e': [True, False, True], 'f': pd.date_range('now', periods=3).values}) - with tm.assert_raises_regex(ValueError, '.+ is too specific'): + with pytest.raises(ValueError, match='.+ is too specific'): df.select_dtypes(include=['datetime64[D]']) - with tm.assert_raises_regex(ValueError, '.+ is too specific'): + with pytest.raises(ValueError, match='.+ is too specific'): df.select_dtypes(exclude=['datetime64[as]']) def test_select_dtypes_datetime_with_tz(self): @@ -373,7 +372,7 @@ def test_select_dtypes_str_raises(self, dtype, arg): msg = "string dtypes are not allowed" kwargs = {arg: [dtype]} - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): df.select_dtypes(**kwargs) def test_select_dtypes_bad_arg_raises(self): @@ -384,8 +383,9 @@ def test_select_dtypes_bad_arg_raises(self): 'd': np.arange(4.0, 7.0, dtype='float64'), 'e': [True, False, True], 'f': pd.date_range('now', periods=3).values}) - with tm.assert_raises_regex(TypeError, 'data type.' - '*not understood'): + + msg = 'data type.*not understood' + with pytest.raises(TypeError, match=msg): df.select_dtypes(['blargy, blarg, blarg']) def test_select_dtypes_typecodes(self): @@ -514,7 +514,7 @@ def test_astype_cast_nan_inf_int(self, val, dtype): msg = "Cannot convert non-finite values \\(NA or inf\\) to integer" df = DataFrame([val]) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.astype(dtype) def test_astype_str(self, text_dtype): @@ -661,10 +661,10 @@ def test_astype_categorical(self, dtype): def test_astype_categoricaldtype_class_raises(self, cls): df = DataFrame({"A": ['a', 'a', 'b', 'c']}) xpr = "Expected an instance of {}".format(cls.__name__) - with tm.assert_raises_regex(TypeError, xpr): + with pytest.raises(TypeError, match=xpr): df.astype({"A": cls}) - with tm.assert_raises_regex(TypeError, xpr): + with pytest.raises(TypeError, match=xpr): df['A'].astype(cls) @pytest.mark.parametrize("dtype", ['Int64', 'Int32', 'Int16']) diff --git a/pandas/tests/frame/test_indexing.py b/pandas/tests/frame/test_indexing.py index 2467b2a89472b..b0e7fe2e25a6c 100644 --- a/pandas/tests/frame/test_indexing.py +++ b/pandas/tests/frame/test_indexing.py @@ -54,7 +54,7 @@ def test_getitem(self): assert self.frame[key] is not None assert 'random' not in self.frame - with tm.assert_raises_regex(KeyError, 'random'): + with pytest.raises(KeyError, match='random'): self.frame['random'] df = self.frame.copy() @@ -129,7 +129,7 @@ def test_getitem_listlike(self, idx_type, levels): assert_frame_equal(result, expected) idx = idx_type(keys + [missing]) - with tm.assert_raises_regex(KeyError, 'not in index'): + with pytest.raises(KeyError, match='not in index'): frame[idx] def test_getitem_callable(self): @@ -153,13 +153,12 @@ def test_setitem_list(self): assert_series_equal(self.frame['B'], data['A'], check_names=False) assert_series_equal(self.frame['A'], data['B'], check_names=False) - with tm.assert_raises_regex(ValueError, - 'Columns must be same length as key'): + msg = 'Columns must be same length as key' + with pytest.raises(ValueError, match=msg): data[['A']] = self.frame[['A', 'B']] - with tm.assert_raises_regex(ValueError, 'Length of values ' - 'does not match ' - 'length of index'): + msg = 'Length of values does not match length of index' + with pytest.raises(ValueError, match=msg): data['A'] = range(len(data.index) - 1) df = DataFrame(0, lrange(3), ['tt1', 'tt2'], dtype=np.int_) @@ -242,13 +241,13 @@ def test_getitem_boolean(self): subframe = self.tsframe[indexer] tm.assert_index_equal(subindex, subframe.index) - with tm.assert_raises_regex(ValueError, 'Item wrong length'): + with pytest.raises(ValueError, match='Item wrong length'): self.tsframe[indexer[:-1]] subframe_obj = self.tsframe[indexer_obj] assert_frame_equal(subframe_obj, subframe) - with tm.assert_raises_regex(ValueError, 'boolean values only'): + with pytest.raises(ValueError, match='boolean values only'): self.tsframe[self.tsframe] # test that Series work @@ -545,7 +544,7 @@ def test_setitem_boolean(self): assert_almost_equal(df.values, values) msg = "Must pass DataFrame or 2-d ndarray with boolean values only" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): df[df * 0] = 2 # index with DataFrame @@ -1466,7 +1465,7 @@ def test_getitem_fancy_ints(self): def test_getitem_setitem_fancy_exceptions(self): ix = self.frame.iloc - with tm.assert_raises_regex(IndexingError, 'Too many indexers'): + with pytest.raises(IndexingError, match='Too many indexers'): ix[:, :, :] with pytest.raises(IndexingError): @@ -1803,7 +1802,7 @@ def testit(df): with pytest.raises(KeyError): self.frame.lookup([self.frame.index[0]], ['xyz']) - with tm.assert_raises_regex(ValueError, 'same size'): + with pytest.raises(ValueError, match='same size'): self.frame.lookup(['a', 'b', 'c'], ['a']) def test_set_value(self): @@ -2513,7 +2512,7 @@ def test_boolean_indexing(self): df1[df1 > 2.0 * df2] = -1 assert_frame_equal(df1, expected) - with tm.assert_raises_regex(ValueError, 'Item wrong length'): + with pytest.raises(ValueError, match='Item wrong length'): df1[df1.index[:-1] > 2] = -1 def test_boolean_indexing_mixed(self): @@ -2547,7 +2546,7 @@ def test_boolean_indexing_mixed(self): msg = ("boolean setting on mixed-type|" "not supported between|" "unorderable types") - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): # TODO: This message should be the same in PY2/PY3 df[df > 0.3] = 1 @@ -2733,7 +2732,7 @@ def test_where_invalid_input_single(self, cond): df = DataFrame({"a": [1, 2, 3]}) msg = "Boolean array expected for the condition" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.where(cond) @pytest.mark.parametrize("cond", [ @@ -2751,7 +2750,7 @@ def test_where_invalid_input_multiple(self, cond): df = DataFrame({"a": [1, 2, 3], "b": [2, 2, 2]}) msg = "Boolean array expected for the condition" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.where(cond) def test_where_dataframe_col_match(self): @@ -2773,7 +2772,7 @@ def test_where_ndframe_align(self): df = DataFrame([[1, 2, 3], [4, 5, 6]]) cond = [True] - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.where(cond) expected = DataFrame([[1, 2, 3], [np.nan, np.nan, np.nan]]) @@ -2782,7 +2781,7 @@ def test_where_ndframe_align(self): tm.assert_frame_equal(out, expected) cond = np.array([False, True, False, True]) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.where(cond) expected = DataFrame([[np.nan, np.nan, np.nan], [4, 5, 6]]) @@ -2872,9 +2871,9 @@ def test_where_none(self): # GH 7656 df = DataFrame([{'A': 1, 'B': np.nan, 'C': 'Test'}, { 'A': np.nan, 'B': 'Test', 'C': np.nan}]) - expected = df.where(~isna(df), None) - with tm.assert_raises_regex(TypeError, 'boolean setting ' - 'on mixed-type'): + msg = 'boolean setting on mixed-type' + + with pytest.raises(TypeError, match=msg): df.where(~isna(df), None, inplace=True) def test_where_empty_df_and_empty_cond_having_non_bool_dtypes(self): @@ -3162,7 +3161,7 @@ def test_type_error_multiindex(self): dg = df.pivot_table(index='i', columns='c', values=['x', 'y']) - with tm.assert_raises_regex(TypeError, "is an invalid key"): + with pytest.raises(TypeError, match="is an invalid key"): str(dg[:, 0]) index = Index(range(2), name='i') diff --git a/pandas/tests/frame/test_join.py b/pandas/tests/frame/test_join.py index ccdba6df2521a..1c7f3ed834289 100644 --- a/pandas/tests/frame/test_join.py +++ b/pandas/tests/frame/test_join.py @@ -94,13 +94,13 @@ def test_join_index(frame): tm.assert_index_equal(joined.index, frame.index.sort_values()) tm.assert_index_equal(joined.columns, expected_columns) - tm.assert_raises_regex( - ValueError, 'join method', f.join, f2, how='foo') + with pytest.raises(ValueError, match='join method'): + f.join(f2, how='foo') # corner case - overlapping columns + msg = 'columns overlap but no suffix' for how in ('outer', 'left', 'inner'): - with tm.assert_raises_regex(ValueError, 'columns overlap but ' - 'no suffix'): + with pytest.raises(ValueError, match=msg): frame.join(frame, how=how) @@ -131,7 +131,8 @@ def test_join_index_series(frame): tm.assert_frame_equal(joined, frame, check_names=False) s.name = None - tm.assert_raises_regex(ValueError, 'must have a name', df.join, s) + with pytest.raises(ValueError, match='must have a name'): + df.join(s) def test_join_overlap(frame): diff --git a/pandas/tests/frame/test_missing.py b/pandas/tests/frame/test_missing.py index 9d1bd9e9a0234..200e134838949 100644 --- a/pandas/tests/frame/test_missing.py +++ b/pandas/tests/frame/test_missing.py @@ -330,8 +330,8 @@ def test_na_actions_categorical(self): res = df.fillna(value={"cats": 3, "vals": "b"}) tm.assert_frame_equal(res, df_exp_fill) - with tm.assert_raises_regex(ValueError, "fill value must be " - "in categories"): + with pytest.raises(ValueError, match=("fill value must " + "be in categories")): df.fillna(value={"cats": 4, "vals": "c"}) res = df.fillna(method='pad') @@ -555,8 +555,7 @@ def test_fillna_dict_series(self): assert_frame_equal(result, expected) # disable this for now - with tm.assert_raises_regex(NotImplementedError, - 'column by column'): + with pytest.raises(NotImplementedError, match='column by column'): df.fillna(df.max(1), axis=1) def test_fillna_dataframe(self): @@ -596,7 +595,7 @@ def test_fillna_columns(self): assert_frame_equal(result, expected) def test_fillna_invalid_method(self): - with tm.assert_raises_regex(ValueError, 'ffil'): + with pytest.raises(ValueError, match='ffil'): self.frame.fillna(method='ffil') def test_fillna_invalid_value(self): @@ -820,11 +819,10 @@ def test_interp_raise_on_all_object_dtype(self): 'A': [1, 2, 3], 'B': [4, 5, 6]}, dtype='object') - with tm.assert_raises_regex( - TypeError, - "Cannot interpolate with all object-dtype columns " - "in the DataFrame. Try setting at least one " - "column to a numeric dtype."): + msg = ("Cannot interpolate with all object-dtype columns " + "in the DataFrame. Try setting at least one " + "column to a numeric dtype.") + with pytest.raises(TypeError, match=msg): df.interpolate() def test_interp_inplace(self): diff --git a/pandas/tests/frame/test_mutate_columns.py b/pandas/tests/frame/test_mutate_columns.py index 102cc52aa46cb..03ca3941f6031 100644 --- a/pandas/tests/frame/test_mutate_columns.py +++ b/pandas/tests/frame/test_mutate_columns.py @@ -126,7 +126,7 @@ def test_insert_error_msmgs(self): s = DataFrame({'foo': ['a', 'b', 'c', 'a'], 'fiz': [ 'g', 'h', 'i', 'j']}).set_index('foo') msg = 'cannot reindex from a duplicate axis' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df['newcol'] = s # GH 4107, more descriptive error message @@ -134,7 +134,7 @@ def test_insert_error_msmgs(self): columns=['a', 'b', 'c', 'd']) msg = 'incompatible index of inserted column with frame index' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): df['gr'] = df.groupby(['b', 'c']).count() def test_insert_benchmark(self): @@ -178,7 +178,7 @@ def test_insert(self): result = Series(dict(float32=2, float64=4, int32=1)) assert (df.get_dtype_counts().sort_index() == result).all() - with tm.assert_raises_regex(ValueError, 'already exists'): + with pytest.raises(ValueError, match='already exists'): df.insert(1, 'a', df['b']) pytest.raises(ValueError, df.insert, 1, 'c', df['b']) diff --git a/pandas/tests/frame/test_nonunique_indexes.py b/pandas/tests/frame/test_nonunique_indexes.py index 0b32ec89d3909..df88bee3b35bf 100644 --- a/pandas/tests/frame/test_nonunique_indexes.py +++ b/pandas/tests/frame/test_nonunique_indexes.py @@ -51,7 +51,7 @@ def check(result, expected=None): [2, 1, 3, 5, 'bah']], columns=['foo', 'bar', 'foo', 'hello', 'string']) check(df, expected) - with tm.assert_raises_regex(ValueError, 'Length of value'): + with pytest.raises(ValueError, match='Length of value'): df.insert(0, 'AnotherColumn', range(len(df.index) - 1)) # insert same dtype @@ -101,8 +101,9 @@ def check(result, expected=None): check(df, expected) # insert a dup - tm.assert_raises_regex(ValueError, 'cannot insert', - df.insert, 2, 'new_col', 4.) + with pytest.raises(ValueError, match='cannot insert'): + df.insert(2, 'new_col', 4.) + df.insert(2, 'new_col', 4., allow_duplicates=True) expected = DataFrame([[1, 1, 4., 5., 'bah', 3], [1, 2, 4., 5., 'bah', 3], diff --git a/pandas/tests/frame/test_operators.py b/pandas/tests/frame/test_operators.py index 65459735e639b..89d45639f3e03 100644 --- a/pandas/tests/frame/test_operators.py +++ b/pandas/tests/frame/test_operators.py @@ -496,8 +496,7 @@ def test_comp(func): tm.assert_numpy_array_equal(result.values, func(df1.values, df2.values)) - with tm.assert_raises_regex(ValueError, - 'dim must be <= 2'): + with pytest.raises(ValueError, match='dim must be <= 2'): func(df1, ndim_5) result2 = func(self.simple, row) @@ -508,9 +507,8 @@ def test_comp(func): tm.assert_numpy_array_equal(result3.values, func(self.frame.values, 0)) - with tm.assert_raises_regex(ValueError, - 'Can only compare identically' - '-labeled DataFrame'): + msg = 'Can only compare identically-labeled DataFrame' + with pytest.raises(ValueError, match=msg): func(self.simple, self.simple[:2]) test_comp(operator.eq) @@ -551,11 +549,11 @@ def test_boolean_comparison(self): msg1d = 'Unable to coerce to Series, length must be 2: given 3' msg2d = 'Unable to coerce to DataFrame, shape must be' msg2db = 'operands could not be broadcast together with shapes' - with tm.assert_raises_regex(ValueError, msg1d): + with pytest.raises(ValueError, match=msg1d): # wrong shape df > lst - with tm.assert_raises_regex(ValueError, msg1d): + with pytest.raises(ValueError, match=msg1d): # wrong shape result = df > tup @@ -566,10 +564,10 @@ def test_boolean_comparison(self): result = df.values > b_r assert_numpy_array_equal(result, expected.values) - with tm.assert_raises_regex(ValueError, msg2d): + with pytest.raises(ValueError, match=msg2d): df > b_c - with tm.assert_raises_regex(ValueError, msg2db): + with pytest.raises(ValueError, match=msg2db): df.values > b_c # == @@ -577,10 +575,10 @@ def test_boolean_comparison(self): result = df == b assert_frame_equal(result, expected) - with tm.assert_raises_regex(ValueError, msg1d): + with pytest.raises(ValueError, match=msg1d): result = df == lst - with tm.assert_raises_regex(ValueError, msg1d): + with pytest.raises(ValueError, match=msg1d): result = df == tup # broadcasts like ndarray (GH#23000) @@ -590,7 +588,7 @@ def test_boolean_comparison(self): result = df.values == b_r assert_numpy_array_equal(result, expected.values) - with tm.assert_raises_regex(ValueError, msg2d): + with pytest.raises(ValueError, match=msg2d): df == b_c assert df.values.shape != b_c.shape @@ -601,10 +599,10 @@ def test_boolean_comparison(self): expected.index = df.index expected.columns = df.columns - with tm.assert_raises_regex(ValueError, msg1d): + with pytest.raises(ValueError, match=msg1d): result = df == lst - with tm.assert_raises_regex(ValueError, msg1d): + with pytest.raises(ValueError, match=msg1d): result = df == tup def test_combine_generic(self): @@ -774,10 +772,10 @@ def test_alignment_non_pandas(self): msg = 'Unable to coerce to Series, length must be 3: given 2' for val in [[1, 2], (1, 2), np.array([1, 2]), range(1, 3)]: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): align(df, val, 'index') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): align(df, val, 'columns') val = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]]) @@ -791,10 +789,10 @@ def test_alignment_non_pandas(self): # shape mismatch msg = 'Unable to coerce to DataFrame, shape must be' val = np.array([[1, 2, 3], [4, 5, 6]]) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): align(df, val, 'index') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): align(df, val, 'columns') val = np.zeros((3, 3, 3)) diff --git a/pandas/tests/frame/test_period.py b/pandas/tests/frame/test_period.py index d52b848bebad1..2a8add1a5de92 100644 --- a/pandas/tests/frame/test_period.py +++ b/pandas/tests/frame/test_period.py @@ -1,3 +1,4 @@ +import pytest import numpy as np from numpy.random import randn from datetime import timedelta @@ -111,8 +112,8 @@ def _get_with_delta(delta, freq='A-DEC'): tm.assert_index_equal(result.columns, exp_index) # invalid axis - tm.assert_raises_regex( - ValueError, 'axis', df.to_timestamp, axis=2) + with pytest.raises(ValueError, match='axis'): + df.to_timestamp(axis=2) result1 = df.to_timestamp('5t', axis=1) result2 = df.to_timestamp('t', axis=1) diff --git a/pandas/tests/frame/test_quantile.py b/pandas/tests/frame/test_quantile.py index 3dbac79fed02b..a7c91dd36b2d2 100644 --- a/pandas/tests/frame/test_quantile.py +++ b/pandas/tests/frame/test_quantile.py @@ -220,7 +220,7 @@ def test_quantile_datetime(self): def test_quantile_invalid(self): msg = 'percentiles should all be in the interval \\[0, 1\\]' for invalid in [-1, 2, [0.5, -1], [0.5, 2]]: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.tsframe.quantile(invalid) def test_quantile_box(self): diff --git a/pandas/tests/frame/test_query_eval.py b/pandas/tests/frame/test_query_eval.py index 3c6f0f0b2ab94..9ab7b04725978 100644 --- a/pandas/tests/frame/test_query_eval.py +++ b/pandas/tests/frame/test_query_eval.py @@ -141,10 +141,10 @@ def test_query_non_str(self): df = pd.DataFrame({'A': [1, 2, 3], 'B': ['a', 'b', 'b']}) msg = "expr must be a string to be evaluated" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.query(lambda x: x.B == "b") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.query(111) def test_query_empty_string(self): @@ -152,7 +152,7 @@ def test_query_empty_string(self): df = pd.DataFrame({'A': [1, 2, 3]}) msg = "expr cannot be an empty string" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.query('') def test_eval_resolvers_as_list(self): @@ -524,8 +524,8 @@ def test_query_builtin(self): df = DataFrame(np.random.randint(m, size=(n, 3)), columns=list('abc')) df.index.name = 'sin' - with tm.assert_raises_regex(NumExprClobberingError, - 'Variables in expression.+'): + msg = 'Variables in expression.+' + with pytest.raises(NumExprClobberingError, match=msg): df.query('sin > 5', engine=engine, parser=parser) def test_query(self): @@ -657,9 +657,11 @@ def test_query_undefined_local(self): from pandas.core.computation.ops import UndefinedVariableError engine, parser = self.engine, self.parser skip_if_no_pandas_parser(parser) + df = DataFrame(np.random.rand(10, 2), columns=list('ab')) - with tm.assert_raises_regex(UndefinedVariableError, - "local variable 'c' is not defined"): + msg = "local variable 'c' is not defined" + + with pytest.raises(UndefinedVariableError, match=msg): df.query('a == @c', engine=engine, parser=parser) def test_index_resolvers_come_after_columns_with_the_same_name(self): @@ -1037,7 +1039,7 @@ def test_bool_arith_expr(self, parser, engine): @pytest.mark.parametrize('op', ['+', '-', '*', '/']) def test_invalid_type_for_operator_raises(self, parser, engine, op): df = DataFrame({'a': [1, 2], 'b': ['c', 'd']}) - with tm.assert_raises_regex(TypeError, - r"unsupported operand type\(s\) " - "for .+: '.+' and '.+'"): + msg = r"unsupported operand type\(s\) for .+: '.+' and '.+'" + + with pytest.raises(TypeError, match=msg): df.eval('a {0} b'.format(op), engine=engine, parser=parser) diff --git a/pandas/tests/frame/test_rank.py b/pandas/tests/frame/test_rank.py index 3134686c2a2d9..078c48539de16 100644 --- a/pandas/tests/frame/test_rank.py +++ b/pandas/tests/frame/test_rank.py @@ -194,11 +194,11 @@ def test_rank_na_option(self): # bad values throw error msg = "na_option must be one of 'keep', 'top', or 'bottom'" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.frame.rank(na_option='bad', ascending=False) # invalid type - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.frame.rank(na_option=True, ascending=False) def test_rank_axis(self): diff --git a/pandas/tests/frame/test_replace.py b/pandas/tests/frame/test_replace.py index bf755b1dac4b8..bfb358a3e8c45 100644 --- a/pandas/tests/frame/test_replace.py +++ b/pandas/tests/frame/test_replace.py @@ -17,9 +17,6 @@ from pandas.util.testing import (assert_series_equal, assert_frame_equal) - -import pandas.util.testing as tm - from pandas.tests.frame.common import TestData @@ -612,9 +609,9 @@ def test_replace_with_empty_list(self): assert_frame_equal(result, expected) # GH 19266 - with tm.assert_raises_regex(ValueError, "cannot assign mismatch"): + with pytest.raises(ValueError, match="cannot assign mismatch"): df.replace({np.nan: []}) - with tm.assert_raises_regex(ValueError, "cannot assign mismatch"): + with pytest.raises(ValueError, match="cannot assign mismatch"): df.replace({np.nan: ['dummy', 'alt']}) def test_replace_series_dict(self): @@ -923,7 +920,7 @@ def test_replace_bool_with_bool(self): def test_replace_with_dict_with_bool_keys(self): df = DataFrame({0: [True, False], 1: [False, True]}) - with tm.assert_raises_regex(TypeError, 'Cannot compare types .+'): + with pytest.raises(TypeError, match='Cannot compare types .+'): df.replace({'asdf': 'asdb', True: 'yes'}) def test_replace_truthy(self): @@ -934,8 +931,7 @@ def test_replace_truthy(self): def test_replace_int_to_int_chain(self): df = DataFrame({'a': lrange(1, 5)}) - with tm.assert_raises_regex(ValueError, - "Replacement not allowed .+"): + with pytest.raises(ValueError, match="Replacement not allowed .+"): df.replace({'a': dict(zip(range(1, 5), range(2, 6)))}) def test_replace_str_to_str_chain(self): @@ -943,8 +939,7 @@ def test_replace_str_to_str_chain(self): astr = a.astype(str) bstr = np.arange(2, 6).astype(str) df = DataFrame({'a': astr}) - with tm.assert_raises_regex(ValueError, - "Replacement not allowed .+"): + with pytest.raises(ValueError, match="Replacement not allowed .+"): df.replace({'a': dict(zip(astr, bstr))}) def test_replace_swapping_bug(self): diff --git a/pandas/tests/frame/test_reshape.py b/pandas/tests/frame/test_reshape.py index ab3d6ca3b19f7..a53b01466c7a4 100644 --- a/pandas/tests/frame/test_reshape.py +++ b/pandas/tests/frame/test_reshape.py @@ -66,7 +66,7 @@ def test_pivot_duplicates(self): data = DataFrame({'a': ['bar', 'bar', 'foo', 'foo', 'foo'], 'b': ['one', 'two', 'one', 'one', 'two'], 'c': [1., 2., 3., 3., 4.]}) - with tm.assert_raises_regex(ValueError, 'duplicate entries'): + with pytest.raises(ValueError, match='duplicate entries'): data.pivot('a', 'b', 'c') def test_pivot_empty(self): @@ -317,7 +317,7 @@ def test_unstack_fill_frame_categorical(self): # Fill with non-category results in a TypeError msg = r"'fill_value' \('d'\) is not in" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): data.unstack(fill_value='d') # Fill with category value replaces missing values as expected diff --git a/pandas/tests/frame/test_sorting.py b/pandas/tests/frame/test_sorting.py index b99e8983b5ba1..dd70d3df7d1b9 100644 --- a/pandas/tests/frame/test_sorting.py +++ b/pandas/tests/frame/test_sorting.py @@ -79,7 +79,7 @@ def test_sort_values(self): assert_frame_equal(sorted_df, expected) msg = r'Length of ascending \(5\) != length of by \(2\)' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): frame.sort_values(by=['A', 'B'], axis=0, ascending=[True] * 5) def test_sort_values_inplace(self): @@ -269,7 +269,7 @@ def test_sort_datetimes(self): def test_frame_column_inplace_sort_exception(self): s = self.frame['A'] - with tm.assert_raises_regex(ValueError, "This Series is a view"): + with pytest.raises(ValueError, match="This Series is a view"): s.sort_values(inplace=True) cp = s.copy() @@ -447,26 +447,26 @@ def test_sort_index_duplicates(self): df = DataFrame([lrange(5, 9), lrange(4)], columns=['a', 'a', 'b', 'b']) - with tm.assert_raises_regex(ValueError, 'not unique'): + with pytest.raises(ValueError, match='not unique'): # use .sort_values #9816 with tm.assert_produces_warning(FutureWarning): df.sort_index(by='a') - with tm.assert_raises_regex(ValueError, 'not unique'): + with pytest.raises(ValueError, match='not unique'): df.sort_values(by='a') - with tm.assert_raises_regex(ValueError, 'not unique'): + with pytest.raises(ValueError, match='not unique'): # use .sort_values #9816 with tm.assert_produces_warning(FutureWarning): df.sort_index(by=['a']) - with tm.assert_raises_regex(ValueError, 'not unique'): + with pytest.raises(ValueError, match='not unique'): df.sort_values(by=['a']) - with tm.assert_raises_regex(ValueError, 'not unique'): + with pytest.raises(ValueError, match='not unique'): # use .sort_values #9816 with tm.assert_produces_warning(FutureWarning): # multi-column 'by' is separate codepath df.sort_index(by=['a', 'b']) - with tm.assert_raises_regex(ValueError, 'not unique'): + with pytest.raises(ValueError, match='not unique'): # multi-column 'by' is separate codepath df.sort_values(by=['a', 'b']) @@ -474,11 +474,11 @@ def test_sort_index_duplicates(self): # GH4370 df = DataFrame(np.random.randn(4, 2), columns=MultiIndex.from_tuples([('a', 0), ('a', 1)])) - with tm.assert_raises_regex(ValueError, 'level'): + with pytest.raises(ValueError, match='level'): # use .sort_values #9816 with tm.assert_produces_warning(FutureWarning): df.sort_index(by='a') - with tm.assert_raises_regex(ValueError, 'level'): + with pytest.raises(ValueError, match='level'): df.sort_values(by='a') # convert tuples to a list of tuples diff --git a/pandas/tests/frame/test_subclass.py b/pandas/tests/frame/test_subclass.py index f6980a8585436..b27f60d437f57 100644 --- a/pandas/tests/frame/test_subclass.py +++ b/pandas/tests/frame/test_subclass.py @@ -156,7 +156,7 @@ class A(DataFrame): @property def bar(self): return self.i_dont_exist - with tm.assert_raises_regex(AttributeError, '.*i_dont_exist.*'): + with pytest.raises(AttributeError, match='.*i_dont_exist.*'): A().bar def test_subclass_align(self): diff --git a/pandas/tests/frame/test_timeseries.py b/pandas/tests/frame/test_timeseries.py index eecbdc0130f02..5794630e72419 100644 --- a/pandas/tests/frame/test_timeseries.py +++ b/pandas/tests/frame/test_timeseries.py @@ -18,8 +18,7 @@ from pandas.util.testing import (assert_series_equal, assert_frame_equal, - assert_index_equal, - assert_raises_regex) + assert_index_equal) import pandas.util.testing as tm from pandas.compat import product @@ -276,9 +275,9 @@ def test_shift(self): assert_frame_equal(shifted2, shifted3) assert_frame_equal(ps, shifted2.shift(-1, 'B')) - tm.assert_raises_regex(ValueError, - 'does not match PeriodIndex freq', - ps.shift, freq='D') + msg = 'does not match PeriodIndex freq' + with pytest.raises(ValueError, match=msg): + ps.shift(freq='D') # shift other axis # GH 6371 @@ -360,8 +359,8 @@ def test_tshift(self): shifted3 = ps.tshift(freq=offsets.BDay()) assert_frame_equal(shifted, shifted3) - tm.assert_raises_regex( - ValueError, 'does not match', ps.tshift, freq='M') + with pytest.raises(ValueError, match='does not match'): + ps.tshift(freq='M') # DatetimeIndex shifted = self.tsframe.tshift(1) @@ -437,16 +436,16 @@ def test_truncate_nonsortedindex(self): df = pd.DataFrame({'A': ['a', 'b', 'c', 'd', 'e']}, index=[5, 3, 2, 9, 0]) - with tm.assert_raises_regex(ValueError, - 'truncate requires a sorted index'): + msg = 'truncate requires a sorted index' + with pytest.raises(ValueError, match=msg): df.truncate(before=3, after=9) rng = pd.date_range('2011-01-01', '2012-01-01', freq='W') ts = pd.DataFrame({'A': np.random.randn(len(rng)), 'B': np.random.randn(len(rng))}, index=rng) - with tm.assert_raises_regex(ValueError, - 'truncate requires a sorted index'): + msg = 'truncate requires a sorted index' + with pytest.raises(ValueError, match=msg): ts.sort_values('A', ascending=False).truncate(before='2011-11', after='2011-12') @@ -455,8 +454,8 @@ def test_truncate_nonsortedindex(self): 2: np.random.randn(5), 0: np.random.randn(5)}, columns=[3, 20, 2, 0]) - with tm.assert_raises_regex(ValueError, - 'truncate requires a sorted index'): + msg = 'truncate requires a sorted index' + with pytest.raises(ValueError, match=msg): df.truncate(before=2, after=20, axis=1) def test_asfreq(self): @@ -822,17 +821,17 @@ def test_tz_convert_and_localize(self, fn): # Bad Inputs # Not DatetimeIndex / PeriodIndex - with assert_raises_regex(TypeError, 'DatetimeIndex'): + with pytest.raises(TypeError, match='DatetimeIndex'): df = DataFrame(index=int_idx) df = getattr(df, fn)('US/Pacific') # Not DatetimeIndex / PeriodIndex - with assert_raises_regex(TypeError, 'DatetimeIndex'): + with pytest.raises(TypeError, match='DatetimeIndex'): df = DataFrame(np.ones(5), MultiIndex.from_arrays([int_idx, l0])) df = getattr(df, fn)('US/Pacific', level=0) # Invalid level - with assert_raises_regex(ValueError, 'not valid'): + with pytest.raises(ValueError, match='not valid'): df = DataFrame(index=l0) df = getattr(df, fn)('US/Pacific', level=1) diff --git a/pandas/tests/frame/test_to_csv.py b/pandas/tests/frame/test_to_csv.py index aa91b7510a2b5..b56375d0a8670 100644 --- a/pandas/tests/frame/test_to_csv.py +++ b/pandas/tests/frame/test_to_csv.py @@ -621,12 +621,12 @@ def _make_frame(names=None): for i in [6, 7]: msg = 'len of {i}, but only 5 lines in file'.format(i=i) - with tm.assert_raises_regex(ParserError, msg): + with pytest.raises(ParserError, match=msg): read_csv(path, header=lrange(i), index_col=0) # write with cols - with tm.assert_raises_regex(TypeError, 'cannot specify cols ' - 'with a MultiIndex'): + msg = 'cannot specify cols with a MultiIndex' + with pytest.raises(TypeError, match=msg): df.to_csv(path, columns=['foo', 'bar']) with ensure_clean('__tmp_to_csv_multiindex__') as path: @@ -1124,11 +1124,11 @@ def test_to_csv_quoting(self): assert result == expected msg = "need to escape, but no escapechar set" - tm.assert_raises_regex(csv.Error, msg, df.to_csv, - quoting=csv.QUOTE_NONE) - tm.assert_raises_regex(csv.Error, msg, df.to_csv, - quoting=csv.QUOTE_NONE, - escapechar=None) + with pytest.raises(csv.Error, match=msg): + df.to_csv(quoting=csv.QUOTE_NONE) + + with pytest.raises(csv.Error, match=msg): + df.to_csv(quoting=csv.QUOTE_NONE, escapechar=None) expected_rows = [',c_bool,c_float,c_int,c_string', '0,True,1.0,42.0,a', diff --git a/pandas/tests/frame/test_validate.py b/pandas/tests/frame/test_validate.py index 2de0e866f6e70..c609712b471e7 100644 --- a/pandas/tests/frame/test_validate.py +++ b/pandas/tests/frame/test_validate.py @@ -1,7 +1,6 @@ from pandas.core.frame import DataFrame import pytest -import pandas.util.testing as tm @pytest.fixture @@ -29,5 +28,5 @@ def test_validate_bool_args(self, dataframe, func, inplace): elif func == "sort_values": kwargs["by"] = ["a"] - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): getattr(dataframe, func)(**kwargs) diff --git a/pandas/tests/generic/test_generic.py b/pandas/tests/generic/test_generic.py index 46bb6303d8908..753e6161d8052 100644 --- a/pandas/tests/generic/test_generic.py +++ b/pandas/tests/generic/test_generic.py @@ -15,8 +15,7 @@ import pandas.io.formats.printing as printing from pandas.compat import range, zip, PY3 -from pandas.util.testing import (assert_raises_regex, - assert_series_equal, +from pandas.util.testing import (assert_series_equal, assert_panel_equal, assert_frame_equal) @@ -476,16 +475,16 @@ def test_unexpected_keyword(self): # GH8597 ts = df['joe'].copy() ts[2] = np.nan - with assert_raises_regex(TypeError, 'unexpected keyword'): + with pytest.raises(TypeError, match='unexpected keyword'): df.drop('joe', axis=1, in_place=True) - with assert_raises_regex(TypeError, 'unexpected keyword'): + with pytest.raises(TypeError, match='unexpected keyword'): df.reindex([1, 0], inplace=True) - with assert_raises_regex(TypeError, 'unexpected keyword'): + with pytest.raises(TypeError, match='unexpected keyword'): ca.fillna(0, inplace=True) - with assert_raises_regex(TypeError, 'unexpected keyword'): + with pytest.raises(TypeError, match='unexpected keyword'): ts.fillna(0, in_place=True) # See gh-12301 @@ -494,13 +493,13 @@ def test_stat_unexpected_keyword(self): starwars = 'Star Wars' errmsg = 'unexpected keyword' - with assert_raises_regex(TypeError, errmsg): + with pytest.raises(TypeError, match=errmsg): obj.max(epic=starwars) # stat_function - with assert_raises_regex(TypeError, errmsg): + with pytest.raises(TypeError, match=errmsg): obj.var(epic=starwars) # stat_function_ddof - with assert_raises_regex(TypeError, errmsg): + with pytest.raises(TypeError, match=errmsg): obj.sum(epic=starwars) # cum_function - with assert_raises_regex(TypeError, errmsg): + with pytest.raises(TypeError, match=errmsg): obj.any(epic=starwars) # logical_function def test_api_compat(self): @@ -520,13 +519,13 @@ def test_stat_non_defaults_args(self): out = np.array([0]) errmsg = "the 'out' parameter is not supported" - with assert_raises_regex(ValueError, errmsg): + with pytest.raises(ValueError, match=errmsg): obj.max(out=out) # stat_function - with assert_raises_regex(ValueError, errmsg): + with pytest.raises(ValueError, match=errmsg): obj.var(out=out) # stat_function_ddof - with assert_raises_regex(ValueError, errmsg): + with pytest.raises(ValueError, match=errmsg): obj.sum(out=out) # cum_function - with assert_raises_regex(ValueError, errmsg): + with pytest.raises(ValueError, match=errmsg): obj.any(out=out) # logical_function def test_truncate_out_of_bounds(self): @@ -807,23 +806,23 @@ def test_transpose(self): for p in [tm.makePanel()]: tm.assert_panel_equal(p.transpose(2, 0, 1) .transpose(1, 2, 0), p) - tm.assert_raises_regex(TypeError, msg, p.transpose, - 2, 0, 1, axes=(2, 0, 1)) + with pytest.raises(TypeError, match=msg): + p.transpose(2, 0, 1, axes=(2, 0, 1)) def test_numpy_transpose(self): msg = "the 'axes' parameter is not supported" s = tm.makeFloatSeries() - tm.assert_series_equal( - np.transpose(s), s) - tm.assert_raises_regex(ValueError, msg, - np.transpose, s, axes=1) + tm.assert_series_equal(np.transpose(s), s) + + with pytest.raises(ValueError, match=msg): + np.transpose(s, axes=1) df = tm.makeTimeDataFrame() - tm.assert_frame_equal(np.transpose( - np.transpose(df)), df) - tm.assert_raises_regex(ValueError, msg, - np.transpose, df, axes=1) + tm.assert_frame_equal(np.transpose(np.transpose(df)), df) + + with pytest.raises(ValueError, match=msg): + np.transpose(df, axes=1) with catch_warnings(record=True): simplefilter("ignore", FutureWarning) @@ -869,16 +868,16 @@ def test_take_invalid_kwargs(self): for obj in (s, df, p): msg = r"take\(\) got an unexpected keyword argument 'foo'" - tm.assert_raises_regex(TypeError, msg, obj.take, - indices, foo=2) + with pytest.raises(TypeError, match=msg): + obj.take(indices, foo=2) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, obj.take, - indices, out=indices) + with pytest.raises(ValueError, match=msg): + obj.take(indices, out=indices) msg = "the 'mode' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, obj.take, - indices, mode='clip') + with pytest.raises(ValueError, match=msg): + obj.take(indices, mode='clip') def test_equals(self): s1 = pd.Series([1, 2, 3], index=[0, 2, 1]) @@ -1018,7 +1017,7 @@ def test_pipe_panel(self): assert_panel_equal(result, expected) with pytest.raises(ValueError): - result = wp.pipe((f, 'y'), x=1, y=1) + wp.pipe((f, 'y'), x=1, y=1) @pytest.mark.parametrize('box', [pd.Series, pd.DataFrame]) def test_axis_classmethods(self, box): diff --git a/pandas/tests/generic/test_label_or_level_utils.py b/pandas/tests/generic/test_label_or_level_utils.py index 4d78270c856ae..5cb5e935752a7 100644 --- a/pandas/tests/generic/test_label_or_level_utils.py +++ b/pandas/tests/generic/test_label_or_level_utils.py @@ -128,7 +128,7 @@ def test_is_level_reference_series_axis1_error(df): # Make series with L1 as index s = df.set_index('L1').L2 - with tm.assert_raises_regex(ValueError, "No axis named 1"): + with pytest.raises(ValueError, match="No axis named 1"): s._is_level_reference('L1', axis=1) @@ -138,7 +138,7 @@ def test_is_level_reference_panel_error(panel): msg = ("_is_level_reference is not implemented for {type}" .format(type=type(panel))) - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): panel._is_level_reference('L1', axis=0) @@ -146,7 +146,7 @@ def test_is_label_reference_panel_error(panel): msg = ("_is_label_reference is not implemented for {type}" .format(type=type(panel))) - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): panel._is_label_reference('L1', axis=0) @@ -154,7 +154,7 @@ def test_is_label_or_level_reference_panel_error(panel): msg = ("_is_label_or_level_reference is not implemented for {type}" .format(type=type(panel))) - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): panel._is_label_or_level_reference('L1', axis=0) @@ -176,7 +176,7 @@ def test_check_label_or_level_ambiguity_df(df_ambig, axis): # df_ambig has both an on-axis level and off-axis label named L1 # Therefore, L1 is ambiguous. - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df_ambig._check_label_or_level_ambiguity("L1", axis=axis) # df_ambig has an on-axis level named L2,, and it is not ambiguous. @@ -209,7 +209,7 @@ def test_check_label_or_level_ambiguity_series_axis1_error(df): # Make series with L1 as index s = df.set_index('L1').L2 - with tm.assert_raises_regex(ValueError, "No axis named 1"): + with pytest.raises(ValueError, match="No axis named 1"): s._check_label_or_level_ambiguity('L1', axis=1) @@ -219,7 +219,7 @@ def test_check_label_or_level_ambiguity_panel_error(panel): msg = ("_check_label_or_level_ambiguity is not implemented for {type}" .format(type=type(panel))) - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): panel._check_label_or_level_ambiguity("L1", axis=0) @@ -294,7 +294,7 @@ def test_get_label_or_level_values_df_duplabels(df_duplabels, axis): else: expected_msg = "The index label 'L2' is not unique" - with tm.assert_raises_regex(ValueError, expected_msg): + with pytest.raises(ValueError, match=expected_msg): assert_label_values(df_duplabels, ['L2'], axis=axis) @@ -316,7 +316,7 @@ def test_get_label_or_level_values_series_axis1_error(df): # Make series with L1 as index s = df.set_index('L1').L2 - with tm.assert_raises_regex(ValueError, "No axis named 1"): + with pytest.raises(ValueError, match="No axis named 1"): s._get_label_or_level_values('L1', axis=1) @@ -326,7 +326,7 @@ def test_get_label_or_level_values_panel_error(panel): msg = ("_get_label_or_level_values is not implemented for {type}" .format(type=type(panel))) - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): panel._get_label_or_level_values('L1', axis=0) @@ -371,7 +371,7 @@ def test_drop_labels_or_levels_df(df_levels, axis): assert_labels_dropped(df_levels, expected_labels, axis=axis) assert_levels_dropped(df_levels, expected_levels, axis=axis) - with tm.assert_raises_regex(ValueError, "not valid labels or levels"): + with pytest.raises(ValueError, match="not valid labels or levels"): df_levels._drop_labels_or_levels('L4', axis=axis) @@ -383,14 +383,14 @@ def test_drop_labels_or_levels_series(df): s = df.set_index('L1').L2 assert_levels_dropped(s, ['L1'], axis=0) - with tm.assert_raises_regex(ValueError, "not valid labels or levels"): + with pytest.raises(ValueError, match="not valid labels or levels"): s._drop_labels_or_levels('L4', axis=0) # Make series with L1 and L2 as index s = df.set_index(['L1', 'L2']).L3 assert_levels_dropped(s, ['L1', 'L2'], axis=0) - with tm.assert_raises_regex(ValueError, "not valid labels or levels"): + with pytest.raises(ValueError, match="not valid labels or levels"): s._drop_labels_or_levels('L4', axis=0) @@ -400,5 +400,5 @@ def test_drop_labels_or_levels_panel_error(panel): msg = ("_drop_labels_or_levels is not implemented for {type}" .format(type=type(panel))) - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): panel._drop_labels_or_levels('L1', axis=0) diff --git a/pandas/tests/groupby/aggregate/test_aggregate.py b/pandas/tests/groupby/aggregate/test_aggregate.py index b0d6a0e83440a..52bfee66f94f8 100644 --- a/pandas/tests/groupby/aggregate/test_aggregate.py +++ b/pandas/tests/groupby/aggregate/test_aggregate.py @@ -27,9 +27,9 @@ def test_agg_must_agg(df): grouped = df.groupby('A')['C'] msg = "Must produce aggregated value" - with tm.assert_raises_regex(Exception, msg): + with pytest.raises(Exception, match=msg): grouped.agg(lambda x: x.describe()) - with tm.assert_raises_regex(Exception, msg): + with pytest.raises(Exception, match=msg): grouped.agg(lambda x: x.index[:2]) @@ -217,7 +217,7 @@ def test_agg_multiple_functions_too_many_lambdas(df): funcs = ['mean', lambda x: x.mean(), lambda x: x.std()] msg = 'Function names must be unique, found multiple named ' - with tm.assert_raises_regex(SpecificationError, msg): + with pytest.raises(SpecificationError, match=msg): grouped.agg(funcs) diff --git a/pandas/tests/groupby/aggregate/test_cython.py b/pandas/tests/groupby/aggregate/test_cython.py index d8a545b323674..d0e1f04238366 100644 --- a/pandas/tests/groupby/aggregate/test_cython.py +++ b/pandas/tests/groupby/aggregate/test_cython.py @@ -82,12 +82,12 @@ def test_cython_agg_nothing_to_agg(): 'b': ['foo', 'bar'] * 25}) msg = "No numeric types to aggregate" - with tm.assert_raises_regex(DataError, msg): + with pytest.raises(DataError, match=msg): frame.groupby('a')['b'].mean() frame = DataFrame({'a': np.random.randint(0, 5, 50), 'b': ['foo', 'bar'] * 25}) - with tm.assert_raises_regex(DataError, msg): + with pytest.raises(DataError, match=msg): frame[['b']].groupby(frame['a']).mean() @@ -96,7 +96,7 @@ def test_cython_agg_nothing_to_agg_with_dates(): 'b': ['foo', 'bar'] * 25, 'dates': pd.date_range('now', periods=50, freq='T')}) msg = "No numeric types to aggregate" - with tm.assert_raises_regex(DataError, msg): + with pytest.raises(DataError, match=msg): frame.groupby('b').dates.mean() diff --git a/pandas/tests/groupby/aggregate/test_other.py b/pandas/tests/groupby/aggregate/test_other.py index c35405ad739c9..fca863b4d8eb0 100644 --- a/pandas/tests/groupby/aggregate/test_other.py +++ b/pandas/tests/groupby/aggregate/test_other.py @@ -268,7 +268,7 @@ def test_agg_nested_dicts(): g = df.groupby(['A', 'B']) msg = r'cannot perform renaming for r[1-2] with a nested dictionary' - with tm.assert_raises_regex(SpecificationError, msg): + with pytest.raises(SpecificationError, match=msg): g.aggregate({'r1': {'C': ['mean', 'sum']}, 'r2': {'D': ['mean', 'sum']}}) @@ -302,7 +302,7 @@ def raiseException(df): pprint_thing(df.to_string()) raise TypeError('test') - with tm.assert_raises_regex(TypeError, 'test'): + with pytest.raises(TypeError, match='test'): df.groupby(0).agg(raiseException) diff --git a/pandas/tests/groupby/test_filters.py b/pandas/tests/groupby/test_filters.py index 873d9f6076b69..205b06c5b679f 100644 --- a/pandas/tests/groupby/test_filters.py +++ b/pandas/tests/groupby/test_filters.py @@ -542,8 +542,7 @@ def test_filter_enforces_scalarness(): ['worst', 'd', 'y'], ['best', 'd', 'z'], ], columns=['a', 'b', 'c']) - with tm.assert_raises_regex(TypeError, - 'filter function returned a.*'): + with pytest.raises(TypeError, match='filter function returned a.*'): df.groupby('c').filter(lambda g: g['a'] == 'best') @@ -557,8 +556,7 @@ def test_filter_non_bool_raises(): ['worst', 'd', 1], ['best', 'd', 1], ], columns=['a', 'b', 'c']) - with tm.assert_raises_regex(TypeError, - 'filter function returned a.*'): + with pytest.raises(TypeError, match='filter function returned a.*'): df.groupby('a').filter(lambda g: g.c.mean()) diff --git a/pandas/tests/groupby/test_function.py b/pandas/tests/groupby/test_function.py index 775747ce0c6c1..646445623778b 100644 --- a/pandas/tests/groupby/test_function.py +++ b/pandas/tests/groupby/test_function.py @@ -517,18 +517,20 @@ def test_nsmallest(): tm.assert_series_equal(gb.nsmallest(3, keep='last'), e) -def test_numpy_compat(): +@pytest.mark.parametrize("func", [ + 'mean', 'var', 'std', 'cumprod', 'cumsum' +]) +def test_numpy_compat(func): # see gh-12811 df = pd.DataFrame({'A': [1, 2, 1], 'B': [1, 2, 3]}) g = df.groupby('A') msg = "numpy operations are not valid with groupby" - for func in ('mean', 'var', 'std', 'cumprod', 'cumsum'): - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(g, func), 1, 2, 3) - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(g, func), foo=1) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(g, func)(1, 2, 3) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(g, func)(foo=1) def test_cummin_cummax(): diff --git a/pandas/tests/groupby/test_groupby.py b/pandas/tests/groupby/test_groupby.py index 3cdd0965ccfd0..e92e5a70b263f 100644 --- a/pandas/tests/groupby/test_groupby.py +++ b/pandas/tests/groupby/test_groupby.py @@ -629,7 +629,7 @@ def test_as_index_series_column_slice_raises(df): grouped = df.groupby('A', as_index=False) msg = r"Column\(s\) C already selected" - with tm.assert_raises_regex(IndexError, msg): + with pytest.raises(IndexError, match=msg): grouped['C'].__getitem__('D') @@ -1679,7 +1679,7 @@ def test_tuple_correct_keyerror(): df = pd.DataFrame(1, index=range(3), columns=pd.MultiIndex.from_product([[1, 2], [3, 4]])) - with tm.assert_raises_regex(KeyError, "(7, 8)"): + with pytest.raises(KeyError, match="(7, 8)"): df.groupby((7, 8)).mean() diff --git a/pandas/tests/groupby/test_grouping.py b/pandas/tests/groupby/test_grouping.py index e7c0881b11871..546a37bf3d56a 100644 --- a/pandas/tests/groupby/test_grouping.py +++ b/pandas/tests/groupby/test_grouping.py @@ -21,7 +21,7 @@ # selection # -------------------------------- -class TestSelection(): +class TestSelection(object): def test_select_bad_cols(self): df = DataFrame([[1, 2]], columns=['A', 'B']) @@ -29,7 +29,7 @@ def test_select_bad_cols(self): pytest.raises(KeyError, g.__getitem__, ['C']) # g[['C']] pytest.raises(KeyError, g.__getitem__, ['A', 'C']) # g[['A', 'C']] - with tm.assert_raises_regex(KeyError, '^[^A]+$'): + with pytest.raises(KeyError, match='^[^A]+$'): # A should not be referenced as a bad column... # will have to rethink regex if you change message! g[['A', 'C']] @@ -506,18 +506,14 @@ def test_groupby_args(self, mframe): # PR8618 and issue 8015 frame = mframe - def j(): + msg = "You have to supply one of 'by' and 'level'" + with pytest.raises(TypeError, match=msg): frame.groupby() - tm.assert_raises_regex(TypeError, "You have to supply one of " - "'by' and 'level'", j) - - def k(): + msg = "You have to supply one of 'by' and 'level'" + with pytest.raises(TypeError, match=msg): frame.groupby(by=None, level=None) - tm.assert_raises_regex(TypeError, "You have to supply one of " - "'by' and 'level'", k) - @pytest.mark.parametrize('sort,labels', [ [True, [2, 2, 2, 0, 0, 1, 1, 3, 3, 3]], [False, [0, 0, 0, 1, 1, 2, 2, 3, 3, 3]] diff --git a/pandas/tests/groupby/test_rank.py b/pandas/tests/groupby/test_rank.py index f337af4d39e54..e7e91572c56d1 100644 --- a/pandas/tests/groupby/test_rank.py +++ b/pandas/tests/groupby/test_rank.py @@ -249,7 +249,7 @@ def test_rank_object_raises(ties_method, ascending, na_option, pct, vals): df = DataFrame({'key': ['foo'] * 5, 'val': vals}) - with tm.assert_raises_regex(TypeError, "not callable"): + with pytest.raises(TypeError, match="not callable"): df.groupby('key').rank(method=ties_method, ascending=ascending, na_option=na_option, pct=pct) @@ -269,7 +269,7 @@ def test_rank_naoption_raises(ties_method, ascending, na_option, pct, vals): df = DataFrame({'key': ['foo'] * 5, 'val': vals}) msg = "na_option must be one of 'keep', 'top', or 'bottom'" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.groupby('key').rank(method=ties_method, ascending=ascending, na_option=na_option, pct=pct) diff --git a/pandas/tests/groupby/test_transform.py b/pandas/tests/groupby/test_transform.py index 4cf63a321a47a..dbbf6e583796f 100644 --- a/pandas/tests/groupby/test_transform.py +++ b/pandas/tests/groupby/test_transform.py @@ -658,11 +658,11 @@ def test_transform_with_non_scalar_group(): df = pd.DataFrame(np.random.randint(1, 10, (4, 12)), columns=cols, index=['A', 'C', 'G', 'T']) - tm.assert_raises_regex(ValueError, 'transform must return ' - 'a scalar value for each ' - 'group.*', - df.groupby(axis=1, level=1).transform, - lambda z: z.div(z.sum(axis=1), axis=0)) + + msg = 'transform must return a scalar value for each group.*' + with pytest.raises(ValueError, match=msg): + df.groupby(axis=1, level=1).transform( + lambda z: z.div(z.sum(axis=1), axis=0)) @pytest.mark.parametrize('cols,exp,comp_func', [ diff --git a/pandas/tests/groupby/test_whitelist.py b/pandas/tests/groupby/test_whitelist.py index ae033f7b3f251..d5096ee99c8b0 100644 --- a/pandas/tests/groupby/test_whitelist.py +++ b/pandas/tests/groupby/test_whitelist.py @@ -263,7 +263,7 @@ def test_groupby_blacklist(df_letters): for obj in (df, s): gb = obj.groupby(df.letters) msg = fmt.format(bl, type(gb).__name__) - with tm.assert_raises_regex(AttributeError, msg): + with pytest.raises(AttributeError, match=msg): getattr(gb, bl) diff --git a/pandas/tests/indexes/common.py b/pandas/tests/indexes/common.py index c5cbaea23df76..4b0daac34c2e3 100644 --- a/pandas/tests/indexes/common.py +++ b/pandas/tests/indexes/common.py @@ -125,39 +125,40 @@ def test_create_index_existing_name(self): def test_numeric_compat(self): idx = self.create_index() - tm.assert_raises_regex(TypeError, "cannot perform __mul__", - lambda: idx * 1) - tm.assert_raises_regex(TypeError, "cannot perform __rmul__", - lambda: 1 * idx) - - div_err = "cannot perform __truediv__" if PY3 \ - else "cannot perform __div__" - tm.assert_raises_regex(TypeError, div_err, lambda: idx / 1) + with pytest.raises(TypeError, match="cannot perform __mul__"): + idx * 1 + with pytest.raises(TypeError, match="cannot perform __rmul__"): + 1 * idx + + div_err = ("cannot perform __truediv__" if PY3 + else "cannot perform __div__") + with pytest.raises(TypeError, match=div_err): + idx / 1 + div_err = div_err.replace(' __', ' __r') - tm.assert_raises_regex(TypeError, div_err, lambda: 1 / idx) - tm.assert_raises_regex(TypeError, "cannot perform __floordiv__", - lambda: idx // 1) - tm.assert_raises_regex(TypeError, "cannot perform __rfloordiv__", - lambda: 1 // idx) + with pytest.raises(TypeError, match=div_err): + 1 / idx + with pytest.raises(TypeError, match="cannot perform __floordiv__"): + idx // 1 + with pytest.raises(TypeError, match="cannot perform __rfloordiv__"): + 1 // idx def test_logical_compat(self): idx = self.create_index() - tm.assert_raises_regex(TypeError, 'cannot perform all', - lambda: idx.all()) - tm.assert_raises_regex(TypeError, 'cannot perform any', - lambda: idx.any()) + with pytest.raises(TypeError, match='cannot perform all'): + idx.all() + with pytest.raises(TypeError, match='cannot perform any'): + idx.any() def test_boolean_context_compat(self): # boolean context compat idx = self.create_index() - def f(): + with pytest.raises(ValueError, match='The truth value of a'): if idx: pass - tm.assert_raises_regex(ValueError, 'The truth value of a', f) - def test_reindex_base(self): idx = self.create_index() expected = np.arange(idx.size, dtype=np.intp) @@ -165,7 +166,7 @@ def test_reindex_base(self): actual = idx.get_indexer(idx) tm.assert_numpy_array_equal(expected, actual) - with tm.assert_raises_regex(ValueError, 'Invalid fill method'): + with pytest.raises(ValueError, match='Invalid fill method'): idx.get_indexer(idx, method='invalid') def test_get_indexer_consistency(self): @@ -180,8 +181,8 @@ def test_get_indexer_consistency(self): assert indexer.dtype == np.intp else: e = "Reindexing only valid with uniquely valued Index objects" - with tm.assert_raises_regex(InvalidIndexError, e): - indexer = index.get_indexer(index[0:2]) + with pytest.raises(InvalidIndexError, match=e): + index.get_indexer(index[0:2]) indexer, _ = index.get_indexer_non_unique(index[0:2]) assert isinstance(indexer, np.ndarray) @@ -227,9 +228,8 @@ def test_repr_max_seq_item_setting(self): assert '...' not in str(idx) def test_wrong_number_names(self, indices): - def testit(ind): - ind.names = ["apple", "banana", "carrot"] - tm.assert_raises_regex(ValueError, "^Length", testit, indices) + with pytest.raises(ValueError, match="^Length"): + indices.names = ["apple", "banana", "carrot"] def test_set_name_methods(self, indices): new_name = "This is the new name for this index" @@ -247,10 +247,10 @@ def test_set_name_methods(self, indices): assert res is None assert indices.name == new_name assert indices.names == [new_name] - # with tm.assert_raises_regex(TypeError, "list-like"): + # with pytest.raises(TypeError, match="list-like"): # # should still fail even if it would be the right length # ind.set_names("a") - with tm.assert_raises_regex(ValueError, "Level must be None"): + with pytest.raises(ValueError, match="Level must be None"): indices.set_names("a", level=0) # rename in place just leaves tuples and other containers alone @@ -261,8 +261,9 @@ def test_set_name_methods(self, indices): def test_hash_error(self, indices): index = indices - tm.assert_raises_regex(TypeError, "unhashable type: %r" % - type(index).__name__, hash, indices) + with pytest.raises(TypeError, match=("unhashable type: %r" % + type(index).__name__)): + hash(indices) def test_copy_name(self): # gh-12309: Check that the "name" argument @@ -511,16 +512,16 @@ def test_numpy_argsort(self): # backwards compatibility concerns if isinstance(type(ind), (CategoricalIndex, RangeIndex)): msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, - np.argsort, ind, axis=1) + with pytest.raises(ValueError, match=msg): + np.argsort(ind, axis=1) msg = "the 'kind' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.argsort, - ind, kind='mergesort') + with pytest.raises(ValueError, match=msg): + np.argsort(ind, kind='mergesort') msg = "the 'order' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.argsort, - ind, order=('a', 'b')) + with pytest.raises(ValueError, match=msg): + np.argsort(ind, order=('a', 'b')) def test_pickle(self, indices): self.verify_pickle(indices) @@ -551,16 +552,16 @@ def test_take_invalid_kwargs(self): indices = [1, 2] msg = r"take\(\) got an unexpected keyword argument 'foo'" - tm.assert_raises_regex(TypeError, msg, idx.take, - indices, foo=2) + with pytest.raises(TypeError, match=msg): + idx.take(indices, foo=2) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, out=indices) + with pytest.raises(ValueError, match=msg): + idx.take(indices, out=indices) msg = "the 'mode' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, mode='clip') + with pytest.raises(ValueError, match=msg): + idx.take(indices, mode='clip') def test_repeat(self): rep = 2 @@ -580,8 +581,8 @@ def test_numpy_repeat(self): tm.assert_index_equal(np.repeat(i, rep), expected) msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.repeat, - i, rep, axis=0) + with pytest.raises(ValueError, match=msg): + np.repeat(i, rep, axis=0) @pytest.mark.parametrize('klass', [list, tuple, np.array, Series]) def test_where(self, klass): @@ -597,19 +598,16 @@ def test_where(self, klass): result = i.where(klass(cond)) tm.assert_index_equal(result, expected) - def test_setops_errorcases(self): + @pytest.mark.parametrize("case", [0.5, "xxx"]) + @pytest.mark.parametrize("method", ["intersection", "union", + "difference", "symmetric_difference"]) + def test_set_ops_error_cases(self, case, method): for name, idx in compat.iteritems(self.indices): - # # non-iterable input - cases = [0.5, 'xxx'] - methods = [idx.intersection, idx.union, idx.difference, - idx.symmetric_difference] - - for method in methods: - for case in cases: - tm.assert_raises_regex(TypeError, - "Input must be Index " - "or array-like", - method, case) + # non-iterable input + + msg = "Input must be Index or array-like" + with pytest.raises(TypeError, match=msg): + getattr(idx, method)(case) def test_intersection_base(self): for name, idx in compat.iteritems(self.indices): @@ -628,8 +626,8 @@ def test_intersection_base(self): for case in cases: if isinstance(idx, PeriodIndex): msg = "can only call with other PeriodIndex-ed objects" - with tm.assert_raises_regex(ValueError, msg): - result = first.intersection(case) + with pytest.raises(ValueError, match=msg): + first.intersection(case) elif isinstance(idx, CategoricalIndex): pass else: @@ -638,8 +636,8 @@ def test_intersection_base(self): if isinstance(idx, MultiIndex): msg = "other must be a MultiIndex or a list of tuples" - with tm.assert_raises_regex(TypeError, msg): - result = first.intersection([1, 2, 3]) + with pytest.raises(TypeError, match=msg): + first.intersection([1, 2, 3]) def test_union_base(self): for name, idx in compat.iteritems(self.indices): @@ -655,8 +653,8 @@ def test_union_base(self): for case in cases: if isinstance(idx, PeriodIndex): msg = "can only call with other PeriodIndex-ed objects" - with tm.assert_raises_regex(ValueError, msg): - result = first.union(case) + with pytest.raises(ValueError, match=msg): + first.union(case) elif isinstance(idx, CategoricalIndex): pass else: @@ -665,8 +663,8 @@ def test_union_base(self): if isinstance(idx, MultiIndex): msg = "other must be a MultiIndex or a list of tuples" - with tm.assert_raises_regex(TypeError, msg): - result = first.union([1, 2, 3]) + with pytest.raises(TypeError, match=msg): + first.union([1, 2, 3]) def test_difference_base(self): for name, idx in compat.iteritems(self.indices): @@ -686,8 +684,8 @@ def test_difference_base(self): for case in cases: if isinstance(idx, PeriodIndex): msg = "can only call with other PeriodIndex-ed objects" - with tm.assert_raises_regex(ValueError, msg): - result = first.difference(case) + with pytest.raises(ValueError, match=msg): + first.difference(case) elif isinstance(idx, CategoricalIndex): pass elif isinstance(idx, (DatetimeIndex, TimedeltaIndex)): @@ -700,8 +698,8 @@ def test_difference_base(self): if isinstance(idx, MultiIndex): msg = "other must be a MultiIndex or a list of tuples" - with tm.assert_raises_regex(TypeError, msg): - result = first.difference([1, 2, 3]) + with pytest.raises(TypeError, match=msg): + first.difference([1, 2, 3]) def test_symmetric_difference(self): for name, idx in compat.iteritems(self.indices): @@ -720,8 +718,8 @@ def test_symmetric_difference(self): for case in cases: if isinstance(idx, PeriodIndex): msg = "can only call with other PeriodIndex-ed objects" - with tm.assert_raises_regex(ValueError, msg): - result = first.symmetric_difference(case) + with pytest.raises(ValueError, match=msg): + first.symmetric_difference(case) elif isinstance(idx, CategoricalIndex): pass else: @@ -730,7 +728,7 @@ def test_symmetric_difference(self): if isinstance(idx, MultiIndex): msg = "other must be a MultiIndex or a list of tuples" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): first.symmetric_difference([1, 2, 3]) def test_insert_base(self): @@ -767,7 +765,7 @@ def test_delete_base(self): with pytest.raises((IndexError, ValueError)): # either depending on numpy version - result = idx.delete(len(idx)) + idx.delete(len(idx)) def test_equals(self): @@ -799,7 +797,7 @@ def test_equals_op(self): index_b = index_a[0:-1] index_c = index_a[0:-1].append(index_a[-2:-1]) index_d = index_a[0:1] - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == index_b expected1 = np.array([True] * n) expected2 = np.array([True] * (n - 1) + [False]) @@ -811,7 +809,7 @@ def test_equals_op(self): array_b = np.array(index_a[0:-1]) array_c = np.array(index_a[0:-1].append(index_a[-2:-1])) array_d = np.array(index_a[0:1]) - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == array_b tm.assert_numpy_array_equal(index_a == array_a, expected1) tm.assert_numpy_array_equal(index_a == array_c, expected2) @@ -821,23 +819,23 @@ def test_equals_op(self): series_b = Series(array_b) series_c = Series(array_c) series_d = Series(array_d) - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == series_b tm.assert_numpy_array_equal(index_a == series_a, expected1) tm.assert_numpy_array_equal(index_a == series_c, expected2) # cases where length is 1 for one of them - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == index_d - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == series_d - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == array_d msg = "Can only compare identically-labeled Series objects" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): series_a == series_d - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): series_a == array_d # comparing with a scalar should broadcast; note that we are excluding @@ -947,7 +945,7 @@ def test_fillna(self): elif isinstance(index, MultiIndex): idx = index.copy() msg = "isna is not defined for MultiIndex" - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): idx.fillna(idx[0]) else: idx = index.copy() @@ -956,7 +954,7 @@ def test_fillna(self): assert result is not idx msg = "'value' must be a scalar, passed: " - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): idx.fillna([idx[0]]) idx = index.copy() @@ -990,7 +988,7 @@ def test_nulls(self): elif isinstance(index, MultiIndex): idx = index.copy() msg = "isna is not defined for MultiIndex" - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): idx.isna() else: diff --git a/pandas/tests/indexes/datetimes/test_astype.py b/pandas/tests/indexes/datetimes/test_astype.py index a9cfc551e073b..4b8ead71ed74c 100644 --- a/pandas/tests/indexes/datetimes/test_astype.py +++ b/pandas/tests/indexes/datetimes/test_astype.py @@ -169,7 +169,7 @@ def test_astype_raises(self, dtype): # GH 13149, GH 13209 idx = DatetimeIndex(['2016-05-16', 'NaT', NaT, np.NaN]) msg = 'Cannot cast DatetimeIndex to dtype' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): idx.astype(dtype) def test_index_convert_to_datetime_array(self): diff --git a/pandas/tests/indexes/datetimes/test_construction.py b/pandas/tests/indexes/datetimes/test_construction.py index 7a251a8ecfb28..04b2c4f280588 100644 --- a/pandas/tests/indexes/datetimes/test_construction.py +++ b/pandas/tests/indexes/datetimes/test_construction.py @@ -253,8 +253,7 @@ def test_construction_dti_with_mixed_timezones(self): Timestamp('2011-01-02 10:00', tz='US/Eastern')], name='idx') - with tm.assert_raises_regex(TypeError, - 'data is already tz-aware'): + with pytest.raises(TypeError, match='data is already tz-aware'): DatetimeIndex([Timestamp('2011-01-01 10:00'), Timestamp('2011-01-02 10:00', tz='US/Eastern')], tz='Asia/Tokyo', name='idx') @@ -264,8 +263,7 @@ def test_construction_dti_with_mixed_timezones(self): Timestamp('2011-01-02 10:00', tz='US/Eastern')], tz='US/Eastern', name='idx') - with tm.assert_raises_regex(TypeError, - 'data is already tz-aware'): + with pytest.raises(TypeError, match='data is already tz-aware'): # passing tz should results in DatetimeIndex, then mismatch raises # TypeError Index([pd.NaT, Timestamp('2011-01-01 10:00'), @@ -314,7 +312,7 @@ def test_constructor_coverage(self): tm.assert_index_equal(rng, exp) msg = 'periods must be a number, got foo' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): DatetimeIndex(start='1/1/2000', periods='foo', freq='D') pytest.raises(ValueError, DatetimeIndex, start='1/1/2000', diff --git a/pandas/tests/indexes/datetimes/test_date_range.py b/pandas/tests/indexes/datetimes/test_date_range.py index b6bab272c8c0a..06b52dfc407cf 100644 --- a/pandas/tests/indexes/datetimes/test_date_range.py +++ b/pandas/tests/indexes/datetimes/test_date_range.py @@ -167,7 +167,7 @@ def test_date_range_ambiguous_arguments(self): msg = ('Of the four parameters: start, end, periods, and ' 'freq, exactly three must be specified') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range(start, end, periods=10, freq='s') def test_date_range_convenience_periods(self): @@ -245,25 +245,25 @@ def test_range_misspecified(self): msg = ('Of the four parameters: start, end, periods, and ' 'freq, exactly three must be specified') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range(start='1/1/2000') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range(end='1/1/2000') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range(periods=10) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range(start='1/1/2000', freq='H') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range(end='1/1/2000', freq='H') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range(periods=10, freq='H') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range() @pytest.mark.parametrize('f', [compat.long, int]) @@ -311,7 +311,7 @@ def test_construct_with_different_start_end_string_format(self): def test_error_with_zero_monthends(self): msg = r'Offset <0 \* MonthEnds> did not increment date' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range('1/1/2000', '1/1/2001', freq=MonthEnd(0)) def test_range_bug(self): @@ -515,7 +515,7 @@ def test_timezone_comparaison_bug(self): def test_timezone_comparaison_assert(self): start = Timestamp('20130220 10:00', tz='US/Eastern') msg = 'Inferred time zone not equal to passed time zone' - with tm.assert_raises_regex(AssertionError, msg): + with pytest.raises(AssertionError, match=msg): date_range(start, periods=2, tz='Europe/Berlin') def test_negative_non_tick_frequency_descending_dates(self, @@ -613,14 +613,14 @@ def test_constructor(self): bdate_range(end=START, periods=20, freq=BDay()) msg = 'periods must be a number, got B' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): date_range('2011-1-1', '2012-1-1', 'B') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): bdate_range('2011-1-1', '2012-1-1', 'B') msg = 'freq must be specified for bdate_range; use date_range instead' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): bdate_range(START, END, periods=10, freq=None) def test_naive_aware_conflicts(self): @@ -628,10 +628,10 @@ def test_naive_aware_conflicts(self): aware = bdate_range(START, END, freq=BDay(), tz="Asia/Hong_Kong") msg = 'tz-naive.*tz-aware' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): naive.join(aware) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): aware.join(naive) def test_misc(self): @@ -688,10 +688,10 @@ def test_constructor(self): bdate_range(end=START, periods=20, freq=CDay()) msg = 'periods must be a number, got C' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): date_range('2011-1-1', '2012-1-1', 'C') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): bdate_range('2011-1-1', '2012-1-1', 'C') def test_misc(self): @@ -726,7 +726,7 @@ def test_cdaterange_weekmask(self): # raise with non-custom freq msg = ('a custom frequency string is required when holidays or ' 'weekmask are passed, got frequency B') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): bdate_range('2013-05-01', periods=3, weekmask='Sun Mon Tue Wed Thu') @@ -739,7 +739,7 @@ def test_cdaterange_holidays(self): # raise with non-custom freq msg = ('a custom frequency string is required when holidays or ' 'weekmask are passed, got frequency B') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): bdate_range('2013-05-01', periods=3, holidays=['2013-05-01']) def test_cdaterange_weekmask_and_holidays(self): @@ -752,7 +752,7 @@ def test_cdaterange_weekmask_and_holidays(self): # raise with non-custom freq msg = ('a custom frequency string is required when holidays or ' 'weekmask are passed, got frequency B') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): bdate_range('2013-05-01', periods=3, weekmask='Sun Mon Tue Wed Thu', holidays=['2013-05-01']) @@ -767,5 +767,5 @@ def test_all_custom_freq(self, freq): bad_freq = freq + 'FOO' msg = 'invalid custom frequency string: {freq}' - with tm.assert_raises_regex(ValueError, msg.format(freq=bad_freq)): + with pytest.raises(ValueError, match=msg.format(freq=bad_freq)): bdate_range(START, END, freq=bad_freq) diff --git a/pandas/tests/indexes/datetimes/test_datetime.py b/pandas/tests/indexes/datetimes/test_datetime.py index cea56bf803083..4363777d25235 100644 --- a/pandas/tests/indexes/datetimes/test_datetime.py +++ b/pandas/tests/indexes/datetimes/test_datetime.py @@ -95,8 +95,8 @@ def test_week_of_month_frequency(self): def test_hash_error(self): index = date_range('20010101', periods=10) - with tm.assert_raises_regex(TypeError, "unhashable type: %r" % - type(index).__name__): + with pytest.raises(TypeError, match=("unhashable type: %r" % + type(index).__name__)): hash(index) def test_stringified_slice_with_tz(self): @@ -303,9 +303,8 @@ def test_join_with_period_index(self, join_type): c_idx_type='p', r_idx_type='dt') s = df.iloc[:5, 0] - with tm.assert_raises_regex(ValueError, - 'can only call with other ' - 'PeriodIndex-ed objects'): + msg = 'can only call with other PeriodIndex-ed objects' + with pytest.raises(ValueError, match=msg): df.columns.join(s.index, how=join_type) def test_factorize(self): diff --git a/pandas/tests/indexes/datetimes/test_indexing.py b/pandas/tests/indexes/datetimes/test_indexing.py index b66475612fe40..f75b5867e1511 100644 --- a/pandas/tests/indexes/datetimes/test_indexing.py +++ b/pandas/tests/indexes/datetimes/test_indexing.py @@ -181,16 +181,16 @@ def test_take_invalid_kwargs(self): indices = [1, 6, 5, 9, 10, 13, 15, 3] msg = r"take\(\) got an unexpected keyword argument 'foo'" - tm.assert_raises_regex(TypeError, msg, idx.take, - indices, foo=2) + with pytest.raises(TypeError, match=msg): + idx.take(indices, foo=2) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, out=indices) + with pytest.raises(ValueError, match=msg): + idx.take(indices, out=indices) msg = "the 'mode' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, mode='clip') + with pytest.raises(ValueError, match=msg): + idx.take(indices, mode='clip') # TODO: This method came from test_datetime; de-dup with version above @pytest.mark.parametrize('tz', [None, 'US/Eastern', 'Asia/Tokyo']) @@ -237,9 +237,9 @@ def test_take_fill_value(self): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): @@ -268,9 +268,9 @@ def test_take_fill_value_with_timezone(self): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): @@ -411,8 +411,8 @@ def test_delete(self): assert result.freq == expected.freq with pytest.raises((IndexError, ValueError)): - # either depeidnig on numpy version - result = idx.delete(5) + # either depending on numpy version + idx.delete(5) for tz in [None, 'Asia/Tokyo', 'US/Pacific']: idx = date_range(start='2000-01-01 09:00', periods=10, freq='H', @@ -508,8 +508,7 @@ def test_get_loc(self): tolerance=np.timedelta64(1, 'D')) == 1 assert idx.get_loc('2000-01-01T12', method='nearest', tolerance=timedelta(1)) == 1 - with tm.assert_raises_regex(ValueError, - 'unit abbreviation w/o a number'): + with pytest.raises(ValueError, match='unit abbreviation w/o a number'): idx.get_loc('2000-01-01T12', method='nearest', tolerance='foo') with pytest.raises(KeyError): idx.get_loc('2000-01-01T03', method='nearest', tolerance='2 hours') @@ -583,12 +582,11 @@ def test_get_indexer(self): with pytest.raises(ValueError): idx.get_indexer(idx[[0]], method='nearest', tolerance='foo') - def test_reasonable_keyerror(self): + def test_reasonable_key_error(self): # GH#1062 index = DatetimeIndex(['1/3/2000']) - with pytest.raises(KeyError) as excinfo: + with pytest.raises(KeyError, match='2000'): index.get_loc('1/1/2000') - assert '2000' in str(excinfo.value) @pytest.mark.parametrize('key', [pd.Timedelta(0), pd.Timedelta(1), diff --git a/pandas/tests/indexes/datetimes/test_ops.py b/pandas/tests/indexes/datetimes/test_ops.py index 2cb7482cda617..d599af6180bfb 100644 --- a/pandas/tests/indexes/datetimes/test_ops.py +++ b/pandas/tests/indexes/datetimes/test_ops.py @@ -84,17 +84,21 @@ def test_numpy_minmax(self): assert np.max(dr) == Timestamp('2016-01-20 00:00:00', freq='D') errmsg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, errmsg, np.min, dr, out=0) - tm.assert_raises_regex(ValueError, errmsg, np.max, dr, out=0) + with pytest.raises(ValueError, match=errmsg): + np.min(dr, out=0) + + with pytest.raises(ValueError, match=errmsg): + np.max(dr, out=0) assert np.argmin(dr) == 0 assert np.argmax(dr) == 5 errmsg = "the 'out' parameter is not supported" - tm.assert_raises_regex( - ValueError, errmsg, np.argmin, dr, out=0) - tm.assert_raises_regex( - ValueError, errmsg, np.argmax, dr, out=0) + with pytest.raises(ValueError, match=errmsg): + np.argmin(dr, out=0) + + with pytest.raises(ValueError, match=errmsg): + np.argmax(dr, out=0) def test_repeat_range(self, tz_naive_fixture): tz = tz_naive_fixture @@ -148,8 +152,8 @@ def test_repeat(self, tz_naive_fixture): assert res.freq is None tm.assert_index_equal(np.repeat(rng, reps), expected_rng) - tm.assert_raises_regex(ValueError, msg, np.repeat, - rng, reps, axis=1) + with pytest.raises(ValueError, match=msg): + np.repeat(rng, reps, axis=1) def test_resolution(self, tz_naive_fixture): tz = tz_naive_fixture @@ -415,11 +419,11 @@ def test_freq_setter_errors(self): # setting with an incompatible freq msg = ('Inferred frequency 2D from passed values does not conform to ' 'passed frequency 5D') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.freq = '5D' # setting with non-freq string - with tm.assert_raises_regex(ValueError, 'Invalid frequency'): + with pytest.raises(ValueError, match='Invalid frequency'): idx.freq = 'foo' def test_offset_deprecated(self): diff --git a/pandas/tests/indexes/datetimes/test_partial_slicing.py b/pandas/tests/indexes/datetimes/test_partial_slicing.py index 27e53c15238be..e6e19c6a8200d 100644 --- a/pandas/tests/indexes/datetimes/test_partial_slicing.py +++ b/pandas/tests/indexes/datetimes/test_partial_slicing.py @@ -66,12 +66,12 @@ def assert_slices_equivalent(l_slc, i_slc): def test_slice_with_zero_step_raises(self): ts = Series(np.arange(20), date_range('2014-01-01', periods=20, freq='MS')) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts[::0]) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts.loc[::0]) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts.loc[::0]) + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts[::0] + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts.loc[::0] + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts.loc[::0] def test_slice_bounds_empty(self): # GH 14354 @@ -222,8 +222,8 @@ def test_partial_slice_second_precision(self): tm.assert_series_equal(s['2005-1-1 00:01:00'], s.iloc[10:]) assert s[Timestamp('2005-1-1 00:00:59.999990')] == s.iloc[0] - tm.assert_raises_regex(KeyError, '2005-1-1 00:00:00', - lambda: s['2005-1-1 00:00:00']) + with pytest.raises(KeyError, match='2005-1-1 00:00:00'): + s['2005-1-1 00:00:00'] def test_partial_slicing_dataframe(self): # GH14856 @@ -349,14 +349,14 @@ def test_partial_slice_doesnt_require_monotonicity(self): timestamp = pd.Timestamp('2014-01-10') tm.assert_series_equal(nonmonotonic['2014-01-10':], expected) - tm.assert_raises_regex(KeyError, - r"Timestamp\('2014-01-10 00:00:00'\)", - lambda: nonmonotonic[timestamp:]) + with pytest.raises(KeyError, + match=r"Timestamp\('2014-01-10 00:00:00'\)"): + nonmonotonic[timestamp:] tm.assert_series_equal(nonmonotonic.loc['2014-01-10':], expected) - tm.assert_raises_regex(KeyError, - r"Timestamp\('2014-01-10 00:00:00'\)", - lambda: nonmonotonic.loc[timestamp:]) + with pytest.raises(KeyError, + match=r"Timestamp\('2014-01-10 00:00:00'\)"): + nonmonotonic.loc[timestamp:] def test_loc_datetime_length_one(self): # GH16071 diff --git a/pandas/tests/indexes/datetimes/test_scalar_compat.py b/pandas/tests/indexes/datetimes/test_scalar_compat.py index b644cb5844d9b..81f4c77009ce4 100644 --- a/pandas/tests/indexes/datetimes/test_scalar_compat.py +++ b/pandas/tests/indexes/datetimes/test_scalar_compat.py @@ -97,14 +97,16 @@ def test_round(self, tz_naive_fixture): assert elt.round(freq='H') == expected_elt msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): rng.round(freq='foo') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): elt.round(freq='foo') msg = " is a non-fixed frequency" - tm.assert_raises_regex(ValueError, msg, rng.round, freq='M') - tm.assert_raises_regex(ValueError, msg, elt.round, freq='M') + with pytest.raises(ValueError, match=msg): + rng.round(freq='M') + with pytest.raises(ValueError, match=msg): + elt.round(freq='M') # GH#14440 & GH#15578 index = DatetimeIndex(['2016-10-17 12:00:00.0015'], tz=tz) diff --git a/pandas/tests/indexes/datetimes/test_tools.py b/pandas/tests/indexes/datetimes/test_tools.py index 8c66b68c94946..c24c1025ea63c 100644 --- a/pandas/tests/indexes/datetimes/test_tools.py +++ b/pandas/tests/indexes/datetimes/test_tools.py @@ -586,7 +586,7 @@ def test_week_without_day_and_calendar_year(self, date, format): # GH16774 msg = "Cannot use '%W' or '%U' without day and year" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.to_datetime(date, format=format) def test_iso_8601_strings_with_same_offset(self): @@ -865,7 +865,7 @@ def test_dataframe(self, cache): msg = ("cannot assemble the datetimes: time data .+ does not " r"match format '%Y%m%d' \(match\)") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): to_datetime(df2, cache=cache) result = to_datetime(df2, errors='coerce', cache=cache) expected = Series([Timestamp('20150204 00:00:00'), @@ -875,7 +875,7 @@ def test_dataframe(self, cache): # extra columns msg = ("extra keys have been passed to the datetime assemblage: " r"\[foo\]") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df2 = df.copy() df2['foo'] = 1 to_datetime(df2, cache=cache) @@ -888,7 +888,7 @@ def test_dataframe(self, cache): ['year', 'month', 'second'], ['month', 'day'], ['year', 'day', 'second']]: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): to_datetime(df[c], cache=cache) # duplicates @@ -897,7 +897,7 @@ def test_dataframe(self, cache): 'month': [2, 20], 'day': [4, 5]}) df2.columns = ['year', 'year', 'day'] - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): to_datetime(df2, cache=cache) df2 = DataFrame({'year': [2015, 2016], @@ -905,7 +905,7 @@ def test_dataframe(self, cache): 'day': [4, 5], 'hour': [4, 5]}) df2.columns = ['year', 'month', 'day', 'day'] - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): to_datetime(df2, cache=cache) @pytest.mark.parametrize('cache', [True, False]) diff --git a/pandas/tests/indexes/interval/test_astype.py b/pandas/tests/indexes/interval/test_astype.py index 4389a22641b72..8bcd6ef5dcc5a 100644 --- a/pandas/tests/indexes/interval/test_astype.py +++ b/pandas/tests/indexes/interval/test_astype.py @@ -49,12 +49,12 @@ def test_astype_category(self, index): 'datetime64[ns, US/Eastern]']) def test_astype_cannot_cast(self, index, dtype): msg = 'Cannot cast IntervalIndex to dtype' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.astype(dtype) def test_astype_invalid_dtype(self, index): msg = "data type 'fake_dtype' not understood" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.astype('fake_dtype') @@ -127,7 +127,7 @@ def test_subtype_integer(self, subtype): # raises with NA msg = 'Cannot convert NA to integer' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index.insert(0, np.nan).astype(dtype) @pytest.mark.xfail(reason='GH#15832', strict=True) @@ -152,7 +152,7 @@ def test_subtype_integer_errors(self): def test_subtype_datetimelike(self, index, subtype): dtype = IntervalDtype(subtype) msg = 'Cannot convert .* to .*; subtypes are incompatible' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.astype(dtype) @@ -183,7 +183,7 @@ def test_subtype_integer(self, index, subtype): def test_subtype_float(self, index): dtype = IntervalDtype('float64') msg = 'Cannot convert .* to .*; subtypes are incompatible' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.astype(dtype) def test_subtype_datetimelike(self): @@ -192,15 +192,15 @@ def test_subtype_datetimelike(self): msg = 'Cannot convert .* to .*; subtypes are incompatible' index = interval_range(Timestamp('2018-01-01'), periods=10) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.astype(dtype) index = interval_range(Timestamp('2018-01-01', tz='CET'), periods=10) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.astype(dtype) # timedelta -> datetime raises dtype = IntervalDtype('datetime64[ns]') index = interval_range(Timedelta('0 days'), periods=10) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.astype(dtype) diff --git a/pandas/tests/indexes/interval/test_construction.py b/pandas/tests/indexes/interval/test_construction.py index a937dbc40a843..d07c11012a86b 100644 --- a/pandas/tests/indexes/interval/test_construction.py +++ b/pandas/tests/indexes/interval/test_construction.py @@ -107,7 +107,7 @@ def test_constructor_string(self, constructor, breaks): # GH 19016 msg = ('category, object, and string subtypes are not supported ' 'for IntervalIndex') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): constructor(**self.get_kwargs_from_breaks(breaks)) @pytest.mark.parametrize('cat_constructor', [ @@ -132,30 +132,30 @@ def test_generic_errors(self, constructor): # invalid closed msg = "invalid option for 'closed': invalid" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): constructor(closed='invalid', **filler) # unsupported dtype msg = 'dtype must be an IntervalDtype, got int64' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): constructor(dtype='int64', **filler) # invalid dtype msg = "data type 'invalid' not understood" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): constructor(dtype='invalid', **filler) # no point in nesting periods in an IntervalIndex periods = period_range('2000-01-01', periods=10) periods_kwargs = self.get_kwargs_from_breaks(periods) msg = 'Period dtypes are not supported, use a PeriodIndex instead' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): constructor(**periods_kwargs) # decreasing values decreasing_kwargs = self.get_kwargs_from_breaks(range(10, -1, -1)) msg = 'left side of interval must be <= right side' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): constructor(**decreasing_kwargs) @@ -178,14 +178,14 @@ def test_constructor_errors(self): data = Categorical(list('01234abcde'), ordered=True) msg = ('category, object, and string subtypes are not supported ' 'for IntervalIndex') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): IntervalIndex.from_arrays(data[:-1], data[1:]) # unequal length left = [0, 1, 2] right = [2, 3] msg = 'left and right must have the same length' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): IntervalIndex.from_arrays(left, right) @pytest.mark.parametrize('left_subtype, right_subtype', [ @@ -224,7 +224,7 @@ def test_constructor_errors(self): data = Categorical(list('01234abcde'), ordered=True) msg = ('category, object, and string subtypes are not supported ' 'for IntervalIndex') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): IntervalIndex.from_breaks(data) def test_length_one(self): @@ -261,17 +261,17 @@ def test_constructor_errors(self): # non-tuple tuples = [(0, 1), 2, (3, 4)] msg = 'IntervalIndex.from_tuples received an invalid item, 2' - with tm.assert_raises_regex(TypeError, msg.format(t=tuples)): + with pytest.raises(TypeError, match=msg.format(t=tuples)): IntervalIndex.from_tuples(tuples) # too few/many items tuples = [(0, 1), (2,), (3, 4)] msg = 'IntervalIndex.from_tuples requires tuples of length 2, got {t}' - with tm.assert_raises_regex(ValueError, msg.format(t=tuples)): + with pytest.raises(ValueError, match=msg.format(t=tuples)): IntervalIndex.from_tuples(tuples) tuples = [(0, 1), (2, 3, 4), (5, 6)] - with tm.assert_raises_regex(ValueError, msg.format(t=tuples)): + with pytest.raises(ValueError, match=msg.format(t=tuples)): IntervalIndex.from_tuples(tuples) def test_na_tuples(self): @@ -318,19 +318,19 @@ def test_constructor_errors(self, constructor): # mismatched closed within intervals with no constructor override ivs = [Interval(0, 1, closed='right'), Interval(2, 3, closed='left')] msg = 'intervals must all be closed on the same side' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): constructor(ivs) # scalar msg = (r'IntervalIndex\(...\) must be called with a collection of ' 'some kind, 5 was passed') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): constructor(5) # not an interval msg = ("type <(class|type) 'numpy.int64'> with value 0 " "is not an interval") - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): constructor([0, 1]) @pytest.mark.parametrize('data, closed', [ diff --git a/pandas/tests/indexes/interval/test_interval.py b/pandas/tests/indexes/interval/test_interval.py index 49d093d312cf1..d5f62429ddb73 100644 --- a/pandas/tests/indexes/interval/test_interval.py +++ b/pandas/tests/indexes/interval/test_interval.py @@ -214,13 +214,13 @@ def test_insert(self, data): # invalid type msg = 'can only insert Interval objects and NA into an IntervalIndex' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): data.insert(1, 'foo') # invalid closed msg = 'inserted item must be closed on the same side as the index' for closed in {'left', 'right', 'both', 'neither'} - {item.closed}: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): bad_item = Interval(item.left, item.right, closed=closed) data.insert(1, bad_item) @@ -690,7 +690,7 @@ def test_maybe_convert_i8_errors(self, breaks1, breaks2, make_key): msg = ('Cannot index an IntervalIndex of subtype {dtype1} with ' 'values of dtype {dtype2}') msg = re.escape(msg.format(dtype1=breaks1.dtype, dtype2=breaks2.dtype)) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index._maybe_convert_i8(key) # To be removed, replaced by test_interval_new.py (see #16316, #16386) @@ -842,7 +842,7 @@ def test_set_operation_errors(self, closed, op_name): # non-IntervalIndex msg = ('the other index needs to be an IntervalIndex too, but ' 'was type Int64Index') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): set_op(Index([1, 2, 3])) # mixed closed @@ -850,14 +850,14 @@ def test_set_operation_errors(self, closed, op_name): 'that are closed on the same side') for other_closed in {'right', 'left', 'both', 'neither'} - {closed}: other = self.create_index(closed=other_closed) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): set_op(other) # GH 19016: incompatible dtypes other = interval_range(Timestamp('20180101'), periods=9, closed=closed) msg = ('can only do {op} between two IntervalIndex objects that have ' 'compatible dtypes').format(op=op_name) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): set_op(other) def test_isin(self, closed): @@ -934,9 +934,9 @@ def test_comparison(self): actual = self.index == self.index.left tm.assert_numpy_array_equal(actual, np.array([False, False])) - with tm.assert_raises_regex(TypeError, 'unorderable types'): + with pytest.raises(TypeError, match='unorderable types'): self.index > 0 - with tm.assert_raises_regex(TypeError, 'unorderable types'): + with pytest.raises(TypeError, match='unorderable types'): self.index <= 0 with pytest.raises(TypeError): self.index > np.arange(2) @@ -1039,7 +1039,7 @@ def test_append(self, closed): for other_closed in {'left', 'right', 'both', 'neither'} - {closed}: index_other_closed = IntervalIndex.from_arrays( [0, 1], [1, 2], closed=other_closed) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index1.append(index_other_closed) def test_is_non_overlapping_monotonic(self, closed): @@ -1148,7 +1148,7 @@ def test_set_closed_errors(self, bad_closed): # GH 21670 index = interval_range(0, 5) msg = "invalid option for 'closed': {closed}".format(closed=bad_closed) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index.set_closed(bad_closed) def test_is_all_dates(self): diff --git a/pandas/tests/indexes/interval/test_interval_new.py b/pandas/tests/indexes/interval/test_interval_new.py index 80905e13e9525..b4510f8f62bdf 100644 --- a/pandas/tests/indexes/interval/test_interval_new.py +++ b/pandas/tests/indexes/interval/test_interval_new.py @@ -199,7 +199,7 @@ def test_get_indexer_errors(self, tuples, closed): msg = ('cannot handle overlapping indices; use ' 'IntervalIndex.get_indexer_non_unique') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index.get_indexer([0, 2]) @pytest.mark.parametrize('query, expected', [ diff --git a/pandas/tests/indexes/interval/test_interval_range.py b/pandas/tests/indexes/interval/test_interval_range.py index 9e11c357c075d..87bbf53cd56e0 100644 --- a/pandas/tests/indexes/interval/test_interval_range.py +++ b/pandas/tests/indexes/interval/test_interval_range.py @@ -232,84 +232,84 @@ def test_errors(self): msg = ('Of the four parameters: start, end, periods, and freq, ' 'exactly three must be specified') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(start=0) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(end=5) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(periods=2) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range() # too many params - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(start=0, end=5, periods=6, freq=1.5) # mixed units msg = 'start, end, freq need to be type compatible' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=0, end=Timestamp('20130101'), freq=2) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=0, end=Timedelta('1 day'), freq=2) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=0, end=10, freq='D') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=Timestamp('20130101'), end=10, freq='D') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=Timestamp('20130101'), end=Timedelta('1 day'), freq='D') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=Timestamp('20130101'), end=Timestamp('20130110'), freq=2) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=Timedelta('1 day'), end=10, freq='D') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=Timedelta('1 day'), end=Timestamp('20130110'), freq='D') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=Timedelta('1 day'), end=Timedelta('10 days'), freq=2) # invalid periods msg = 'periods must be a number, got foo' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=0, periods='foo') # invalid start msg = 'start must be numeric or datetime-like, got foo' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(start='foo', periods=10) # invalid end msg = r'end must be numeric or datetime-like, got \(0, 1\]' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(end=Interval(0, 1), periods=10) # invalid freq for datetime-like msg = 'freq must be numeric or convertible to DateOffset, got foo' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(start=0, end=10, freq='foo') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(start=Timestamp('20130101'), periods=10, freq='foo') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): interval_range(end=Timedelta('1 day'), periods=10, freq='foo') # mixed tz start = Timestamp('2017-01-01', tz='US/Eastern') end = Timestamp('2017-01-07', tz='US/Pacific') msg = 'Start and end cannot both be tz-aware with different timezones' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval_range(start=start, end=end) diff --git a/pandas/tests/indexes/multi/test_analytics.py b/pandas/tests/indexes/multi/test_analytics.py index 8d602b0bb2b1d..05adaada01ee5 100644 --- a/pandas/tests/indexes/multi/test_analytics.py +++ b/pandas/tests/indexes/multi/test_analytics.py @@ -77,8 +77,8 @@ def f(): def test_reorder_levels(idx): # this blows up - tm.assert_raises_regex(IndexError, '^Too many levels', - idx.reorder_levels, [2, 1, 0]) + with pytest.raises(IndexError, match='^Too many levels'): + idx.reorder_levels([2, 1, 0]) def test_numpy_repeat(): @@ -93,8 +93,8 @@ def test_numpy_repeat(): tm.assert_index_equal(np.repeat(m, reps), expected) msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex( - ValueError, msg, np.repeat, m, reps, axis=1) + with pytest.raises(ValueError, match=msg): + np.repeat(m, reps, axis=1) def test_append_mixed_dtypes(): @@ -151,16 +151,16 @@ def test_take_invalid_kwargs(idx): indices = [1, 2] msg = r"take\(\) got an unexpected keyword argument 'foo'" - tm.assert_raises_regex(TypeError, msg, idx.take, - indices, foo=2) + with pytest.raises(TypeError, match=msg): + idx.take(indices, foo=2) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, out=indices) + with pytest.raises(ValueError, match=msg): + idx.take(indices, out=indices) msg = "the 'mode' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, mode='clip') + with pytest.raises(ValueError, match=msg): + idx.take(indices, mode='clip') def test_take_fill_value(): @@ -195,9 +195,9 @@ def test_take_fill_value(): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): diff --git a/pandas/tests/indexes/multi/test_astype.py b/pandas/tests/indexes/multi/test_astype.py index 5da96717bc077..70d79ddfdc22e 100644 --- a/pandas/tests/indexes/multi/test_astype.py +++ b/pandas/tests/indexes/multi/test_astype.py @@ -3,7 +3,6 @@ import numpy as np import pytest -import pandas.util.testing as tm from pandas.core.dtypes.dtypes import CategoricalDtype from pandas.util.testing import assert_copy @@ -15,7 +14,7 @@ def test_astype(idx): assert_copy(actual.labels, expected.labels) assert [level.name for level in actual.levels] == list(expected.names) - with tm.assert_raises_regex(TypeError, "^Setting.*dtype.*object"): + with pytest.raises(TypeError, match="^Setting.*dtype.*object"): idx.astype(np.dtype(int)) @@ -23,10 +22,10 @@ def test_astype(idx): def test_astype_category(idx, ordered): # GH 18630 msg = '> 1 ndim Categorical are not supported at this time' - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): idx.astype(CategoricalDtype(ordered=ordered)) if ordered is False: # dtype='category' defaults to ordered=False, so only test once - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): idx.astype('category') diff --git a/pandas/tests/indexes/multi/test_compat.py b/pandas/tests/indexes/multi/test_compat.py index f05b53522fa31..23ea0c306d47c 100644 --- a/pandas/tests/indexes/multi/test_compat.py +++ b/pandas/tests/indexes/multi/test_compat.py @@ -11,27 +11,34 @@ def test_numeric_compat(idx): - tm.assert_raises_regex(TypeError, "cannot perform __mul__", - lambda: idx * 1) - tm.assert_raises_regex(TypeError, "cannot perform __rmul__", - lambda: 1 * idx) - - div_err = "cannot perform __truediv__" if PY3 \ - else "cannot perform __div__" - tm.assert_raises_regex(TypeError, div_err, lambda: idx / 1) - div_err = div_err.replace(' __', ' __r') - tm.assert_raises_regex(TypeError, div_err, lambda: 1 / idx) - tm.assert_raises_regex(TypeError, "cannot perform __floordiv__", - lambda: idx // 1) - tm.assert_raises_regex(TypeError, "cannot perform __rfloordiv__", - lambda: 1 // idx) - - -def test_logical_compat(idx): - tm.assert_raises_regex(TypeError, 'cannot perform all', - lambda: idx.all()) - tm.assert_raises_regex(TypeError, 'cannot perform any', - lambda: idx.any()) + with pytest.raises(TypeError, match="cannot perform __mul__"): + idx * 1 + + with pytest.raises(TypeError, match="cannot perform __rmul__"): + 1 * idx + + div_err = ("cannot perform __truediv__" if PY3 + else "cannot perform __div__") + with pytest.raises(TypeError, match=div_err): + idx / 1 + + div_err = div_err.replace(" __", " __r") + with pytest.raises(TypeError, match=div_err): + 1 / idx + + with pytest.raises(TypeError, match="cannot perform __floordiv__"): + idx // 1 + + with pytest.raises(TypeError, match="cannot perform __rfloordiv__"): + 1 // idx + + +@pytest.mark.parametrize("method", ["all", "any"]) +def test_logical_compat(idx, method): + msg = "cannot perform {method}".format(method=method) + + with pytest.raises(TypeError, match=msg): + getattr(idx, method)() def test_boolean_context_compat(idx): diff --git a/pandas/tests/indexes/multi/test_constructor.py b/pandas/tests/indexes/multi/test_constructor.py index 833de283e5367..fb15d674613d4 100644 --- a/pandas/tests/indexes/multi/test_constructor.py +++ b/pandas/tests/indexes/multi/test_constructor.py @@ -25,13 +25,14 @@ def test_constructor_single_level(): def test_constructor_no_levels(): - tm.assert_raises_regex(ValueError, "non-zero number " - "of levels/labels", - MultiIndex, levels=[], labels=[]) + msg = "non-zero number of levels/labels" + with pytest.raises(ValueError, match=msg): + MultiIndex(levels=[], labels=[]) + both_re = re.compile('Must pass both levels and labels') - with tm.assert_raises_regex(TypeError, both_re): + with pytest.raises(TypeError, match=both_re): MultiIndex(levels=[]) - with tm.assert_raises_regex(TypeError, both_re): + with pytest.raises(TypeError, match=both_re): MultiIndex(labels=[]) @@ -39,44 +40,48 @@ def test_constructor_nonhashable_names(): # GH 20527 levels = [[1, 2], [u'one', u'two']] labels = [[0, 0, 1, 1], [0, 1, 0, 1]] - names = ((['foo'], ['bar'])) + names = (['foo'], ['bar']) message = "MultiIndex.name must be a hashable type" - tm.assert_raises_regex(TypeError, message, - MultiIndex, levels=levels, - labels=labels, names=names) + with pytest.raises(TypeError, match=message): + MultiIndex(levels=levels, labels=labels, names=names) # With .rename() mi = MultiIndex(levels=[[1, 2], [u'one', u'two']], labels=[[0, 0, 1, 1], [0, 1, 0, 1]], names=('foo', 'bar')) renamed = [['foor'], ['barr']] - tm.assert_raises_regex(TypeError, message, mi.rename, names=renamed) + with pytest.raises(TypeError, match=message): + mi.rename(names=renamed) + # With .set_names() - tm.assert_raises_regex(TypeError, message, mi.set_names, names=renamed) + with pytest.raises(TypeError, match=message): + mi.set_names(names=renamed) def test_constructor_mismatched_label_levels(idx): labels = [np.array([1]), np.array([2]), np.array([3])] levels = ["a"] - tm.assert_raises_regex(ValueError, "Length of levels and labels " - "must be the same", MultiIndex, - levels=levels, labels=labels) + + msg = "Length of levels and labels must be the same" + with pytest.raises(ValueError, match=msg): + MultiIndex(levels=levels, labels=labels) + length_error = re.compile('>= length of level') label_error = re.compile(r'Unequal label lengths: \[4, 2\]') # important to check that it's looking at the right thing. - with tm.assert_raises_regex(ValueError, length_error): + with pytest.raises(ValueError, match=length_error): MultiIndex(levels=[['a'], ['b']], labels=[[0, 1, 2, 3], [0, 3, 4, 1]]) - with tm.assert_raises_regex(ValueError, label_error): + with pytest.raises(ValueError, match=label_error): MultiIndex(levels=[['a'], ['b']], labels=[[0, 0, 0, 0], [0, 0]]) # external API - with tm.assert_raises_regex(ValueError, length_error): + with pytest.raises(ValueError, match=length_error): idx.copy().set_levels([['a'], ['b']]) - with tm.assert_raises_regex(ValueError, label_error): + with pytest.raises(ValueError, match=label_error): idx.copy().set_labels([[0, 0, 0, 0], [0, 0]]) @@ -121,8 +126,8 @@ def test_from_arrays_iterator(idx): tm.assert_index_equal(result, idx) # invalid iterator input - with tm.assert_raises_regex( - TypeError, "Input must be a list / sequence of array-likes."): + msg = "Input must be a list / sequence of array-likes." + with pytest.raises(TypeError, match=msg): MultiIndex.from_arrays(0) @@ -217,8 +222,8 @@ def test_from_arrays_index_series_categorical(): def test_from_arrays_empty(): # 0 levels - with tm.assert_raises_regex( - ValueError, "Must pass non-zero number of levels/labels"): + msg = "Must pass non-zero number of levels/labels" + with pytest.raises(ValueError, match=msg): MultiIndex.from_arrays(arrays=[]) # 1 level @@ -261,15 +266,15 @@ def test_from_arrays_invalid_input(invalid_array): ]) def test_from_arrays_different_lengths(idx1, idx2): # see gh-13599 - tm.assert_raises_regex(ValueError, '^all arrays must ' - 'be same length$', - MultiIndex.from_arrays, [idx1, idx2]) + msg = '^all arrays must be same length$' + with pytest.raises(ValueError, match=msg): + MultiIndex.from_arrays([idx1, idx2]) def test_from_tuples(): - tm.assert_raises_regex(TypeError, 'Cannot infer number of levels ' - 'from empty list', - MultiIndex.from_tuples, []) + msg = 'Cannot infer number of levels from empty list' + with pytest.raises(TypeError, match=msg): + MultiIndex.from_tuples([]) expected = MultiIndex(levels=[[1, 3], [2, 4]], labels=[[0, 1], [0, 1]], @@ -291,8 +296,8 @@ def test_from_tuples_iterator(): tm.assert_index_equal(result, expected) # input non-iterables - with tm.assert_raises_regex( - TypeError, 'Input must be a list / sequence of tuple-likes.'): + msg = 'Input must be a list / sequence of tuple-likes.' + with pytest.raises(TypeError, match=msg): MultiIndex.from_tuples(0) @@ -311,8 +316,8 @@ def test_from_tuples_index_values(idx): def test_from_product_empty_zero_levels(): # 0 levels - with tm.assert_raises_regex( - ValueError, "Must pass non-zero number of levels/labels"): + msg = "Must pass non-zero number of levels/labels" + with pytest.raises(ValueError, match=msg): MultiIndex.from_product([]) @@ -422,8 +427,8 @@ def test_from_product_iterator(): tm.assert_index_equal(result, expected) # Invalid non-iterable input - with tm.assert_raises_regex( - TypeError, "Input must be a list / sequence of iterables."): + msg = "Input must be a list / sequence of iterables." + with pytest.raises(TypeError, match=msg): MultiIndex.from_product(0) diff --git a/pandas/tests/indexes/multi/test_conversion.py b/pandas/tests/indexes/multi/test_conversion.py index 1daccefcfe876..79494a7c77cbd 100644 --- a/pandas/tests/indexes/multi/test_conversion.py +++ b/pandas/tests/indexes/multi/test_conversion.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- - +import pytest import numpy as np import pandas as pd @@ -51,11 +51,11 @@ def test_to_frame(): tm.assert_frame_equal(result, expected) msg = "'name' must be a list / sequence of column names." - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.to_frame(name='first') msg = "'name' should have same length as number of levels on index." - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index.to_frame(name=['first']) # Tests for datetime index diff --git a/pandas/tests/indexes/multi/test_equivalence.py b/pandas/tests/indexes/multi/test_equivalence.py index 41cb2409f0532..bd1f313897ea2 100644 --- a/pandas/tests/indexes/multi/test_equivalence.py +++ b/pandas/tests/indexes/multi/test_equivalence.py @@ -1,7 +1,7 @@ # -*- coding: utf-8 -*- - import numpy as np +import pytest from pandas.compat import lrange, lzip, range @@ -35,7 +35,7 @@ def test_equals_op(idx): index_b = index_a[0:-1] index_c = index_a[0:-1].append(index_a[-2:-1]) index_d = index_a[0:1] - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == index_b expected1 = np.array([True] * n) expected2 = np.array([True] * (n - 1) + [False]) @@ -47,7 +47,7 @@ def test_equals_op(idx): array_b = np.array(index_a[0:-1]) array_c = np.array(index_a[0:-1].append(index_a[-2:-1])) array_d = np.array(index_a[0:1]) - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == array_b tm.assert_numpy_array_equal(index_a == array_a, expected1) tm.assert_numpy_array_equal(index_a == array_c, expected2) @@ -57,23 +57,23 @@ def test_equals_op(idx): series_b = Series(array_b) series_c = Series(array_c) series_d = Series(array_d) - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == series_b tm.assert_numpy_array_equal(index_a == series_a, expected1) tm.assert_numpy_array_equal(index_a == series_c, expected2) # cases where length is 1 for one of them - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == index_d - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == series_d - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): index_a == array_d msg = "Can only compare identically-labeled Series objects" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): series_a == series_d - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): series_a == array_d # comparing with a scalar should broadcast; note that we are excluding diff --git a/pandas/tests/indexes/multi/test_get_set.py b/pandas/tests/indexes/multi/test_get_set.py index e72b76ed07269..a5f586bd98d5f 100644 --- a/pandas/tests/indexes/multi/test_get_set.py +++ b/pandas/tests/indexes/multi/test_get_set.py @@ -26,8 +26,8 @@ def test_get_level_number_integer(idx): assert idx._get_level_number(1) == 0 assert idx._get_level_number(0) == 1 pytest.raises(IndexError, idx._get_level_number, 2) - tm.assert_raises_regex(KeyError, 'Level fourth not found', - idx._get_level_number, 'fourth') + with pytest.raises(KeyError, match='Level fourth not found'): + idx._get_level_number('fourth') def test_get_level_values(idx): @@ -125,7 +125,7 @@ def test_set_name_methods(idx, index_names): ind = idx.set_names(new_names) assert idx.names == index_names assert ind.names == new_names - with tm.assert_raises_regex(ValueError, "^Length"): + with pytest.raises(ValueError, match="^Length"): ind.set_names(new_names + new_names) new_names2 = [name + "SUFFIX2" for name in new_names] res = ind.set_names(new_names2, inplace=True) @@ -226,23 +226,23 @@ def test_set_levels(idx): # GH 13754 original_index = idx.copy() for inplace in [True, False]: - with tm.assert_raises_regex(ValueError, "^On"): + with pytest.raises(ValueError, match="^On"): idx.set_levels(['c'], level=0, inplace=inplace) assert_matching(idx.levels, original_index.levels, check_dtype=True) - with tm.assert_raises_regex(ValueError, "^On"): + with pytest.raises(ValueError, match="^On"): idx.set_labels([0, 1, 2, 3, 4, 5], level=0, inplace=inplace) assert_matching(idx.labels, original_index.labels, check_dtype=True) - with tm.assert_raises_regex(TypeError, "^Levels"): + with pytest.raises(TypeError, match="^Levels"): idx.set_levels('c', level=0, inplace=inplace) assert_matching(idx.levels, original_index.levels, check_dtype=True) - with tm.assert_raises_regex(TypeError, "^Labels"): + with pytest.raises(TypeError, match="^Labels"): idx.set_labels(1, level=0, inplace=inplace) assert_matching(idx.labels, original_index.labels, check_dtype=True) @@ -323,46 +323,46 @@ def test_set_levels_labels_names_bad_input(idx): levels, labels = idx.levels, idx.labels names = idx.names - with tm.assert_raises_regex(ValueError, 'Length of levels'): + with pytest.raises(ValueError, match='Length of levels'): idx.set_levels([levels[0]]) - with tm.assert_raises_regex(ValueError, 'Length of labels'): + with pytest.raises(ValueError, match='Length of labels'): idx.set_labels([labels[0]]) - with tm.assert_raises_regex(ValueError, 'Length of names'): + with pytest.raises(ValueError, match='Length of names'): idx.set_names([names[0]]) # shouldn't scalar data error, instead should demand list-like - with tm.assert_raises_regex(TypeError, 'list of lists-like'): + with pytest.raises(TypeError, match='list of lists-like'): idx.set_levels(levels[0]) # shouldn't scalar data error, instead should demand list-like - with tm.assert_raises_regex(TypeError, 'list of lists-like'): + with pytest.raises(TypeError, match='list of lists-like'): idx.set_labels(labels[0]) # shouldn't scalar data error, instead should demand list-like - with tm.assert_raises_regex(TypeError, 'list-like'): + with pytest.raises(TypeError, match='list-like'): idx.set_names(names[0]) # should have equal lengths - with tm.assert_raises_regex(TypeError, 'list of lists-like'): + with pytest.raises(TypeError, match='list of lists-like'): idx.set_levels(levels[0], level=[0, 1]) - with tm.assert_raises_regex(TypeError, 'list-like'): + with pytest.raises(TypeError, match='list-like'): idx.set_levels(levels, level=0) # should have equal lengths - with tm.assert_raises_regex(TypeError, 'list of lists-like'): + with pytest.raises(TypeError, match='list of lists-like'): idx.set_labels(labels[0], level=[0, 1]) - with tm.assert_raises_regex(TypeError, 'list-like'): + with pytest.raises(TypeError, match='list-like'): idx.set_labels(labels, level=0) # should have equal lengths - with tm.assert_raises_regex(ValueError, 'Length of names'): + with pytest.raises(ValueError, match='Length of names'): idx.set_names(names[0], level=[0, 1]) - with tm.assert_raises_regex(TypeError, 'Names must be a'): + with pytest.raises(TypeError, match='Names must be a'): idx.set_names(names, level=0) diff --git a/pandas/tests/indexes/multi/test_indexing.py b/pandas/tests/indexes/multi/test_indexing.py index 563027364134d..23f48db751804 100644 --- a/pandas/tests/indexes/multi/test_indexing.py +++ b/pandas/tests/indexes/multi/test_indexing.py @@ -54,19 +54,17 @@ def test_slice_locs_with_type_mismatch(): df = tm.makeTimeDataFrame() stacked = df.stack() idx = stacked.index - tm.assert_raises_regex(TypeError, '^Level type mismatch', - idx.slice_locs, (1, 3)) - tm.assert_raises_regex(TypeError, '^Level type mismatch', - idx.slice_locs, - df.index[5] + timedelta( - seconds=30), (5, 2)) + with pytest.raises(TypeError, match='^Level type mismatch'): + idx.slice_locs((1, 3)) + with pytest.raises(TypeError, match='^Level type mismatch'): + idx.slice_locs(df.index[5] + timedelta(seconds=30), (5, 2)) df = tm.makeCustomDataframe(5, 5) stacked = df.stack() idx = stacked.index - with tm.assert_raises_regex(TypeError, '^Level type mismatch'): + with pytest.raises(TypeError, match='^Level type mismatch'): idx.slice_locs(timedelta(seconds=30)) # TODO: Try creating a UnicodeDecodeError in exception message - with tm.assert_raises_regex(TypeError, '^Level type mismatch'): + with pytest.raises(TypeError, match='^Level type mismatch'): idx.slice_locs(df.index[1], (16, "a")) @@ -75,9 +73,9 @@ def test_slice_locs_not_sorted(): lrange(4))], labels=[np.array([0, 0, 1, 2, 2, 2, 3, 3]), np.array( [0, 1, 0, 0, 0, 1, 0, 1]), np.array([1, 0, 1, 1, 0, 0, 1, 0])]) - tm.assert_raises_regex(KeyError, "[Kk]ey length.*greater than " - "MultiIndex lexsort depth", - index.slice_locs, (1, 0, 1), (2, 1, 0)) + msg = "[Kk]ey length.*greater than MultiIndex lexsort depth" + with pytest.raises(KeyError, match=msg): + index.slice_locs((1, 0, 1), (2, 1, 0)) # works sorted_index, _ = index.sortlevel(0) @@ -172,7 +170,7 @@ def test_get_indexer(): idx2 = Index(lrange(20)) msg = "Reindexing only valid with uniquely valued Index objects" - with tm.assert_raises_regex(InvalidIndexError, msg): + with pytest.raises(InvalidIndexError, match=msg): idx1.get_indexer(idx2) @@ -218,8 +216,8 @@ def test_get_indexer_consistency(idx): assert indexer.dtype == np.intp else: e = "Reindexing only valid with uniquely valued Index objects" - with tm.assert_raises_regex(InvalidIndexError, e): - indexer = idx.get_indexer(idx[0:2]) + with pytest.raises(InvalidIndexError, match=e): + idx.get_indexer(idx[0:2]) indexer, _ = idx.get_indexer_non_unique(idx[0:2]) assert isinstance(indexer, np.ndarray) diff --git a/pandas/tests/indexes/multi/test_integrity.py b/pandas/tests/indexes/multi/test_integrity.py index 4d08fa7cef7a4..2ec08fa89d133 100644 --- a/pandas/tests/indexes/multi/test_integrity.py +++ b/pandas/tests/indexes/multi/test_integrity.py @@ -139,16 +139,16 @@ def take_invalid_kwargs(): indices = [1, 2] msg = r"take\(\) got an unexpected keyword argument 'foo'" - tm.assert_raises_regex(TypeError, msg, idx.take, - indices, foo=2) + with pytest.raises(TypeError, match=msg): + idx.take(indices, foo=2) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, out=indices) + with pytest.raises(ValueError, match=msg): + idx.take(indices, out=indices) msg = "the 'mode' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, mode='clip') + with pytest.raises(ValueError, match=msg): + idx.take(indices, mode='clip') def test_isna_behavior(idx): @@ -183,8 +183,8 @@ def test_million_record_attribute_error(): df = pd.DataFrame({'a': r, 'b': r}, index=pd.MultiIndex.from_tuples([(x, x) for x in r])) - with tm.assert_raises_regex(AttributeError, - "'Series' object has no attribute 'foo'"): + msg = "'Series' object has no attribute 'foo'" + with pytest.raises(AttributeError, match=msg): df['a'].foo() @@ -197,18 +197,18 @@ def test_metadata_immutable(idx): levels, labels = idx.levels, idx.labels # shouldn't be able to set at either the top level or base level mutable_regex = re.compile('does not support mutable operations') - with tm.assert_raises_regex(TypeError, mutable_regex): + with pytest.raises(TypeError, match=mutable_regex): levels[0] = levels[0] - with tm.assert_raises_regex(TypeError, mutable_regex): + with pytest.raises(TypeError, match=mutable_regex): levels[0][0] = levels[0][0] # ditto for labels - with tm.assert_raises_regex(TypeError, mutable_regex): + with pytest.raises(TypeError, match=mutable_regex): labels[0] = labels[0] - with tm.assert_raises_regex(TypeError, mutable_regex): + with pytest.raises(TypeError, match=mutable_regex): labels[0][0] = labels[0][0] # and for names names = idx.names - with tm.assert_raises_regex(TypeError, mutable_regex): + with pytest.raises(TypeError, match=mutable_regex): names[0] = names[0] @@ -248,8 +248,9 @@ def test_rangeindex_fallback_coercion_bug(): def test_hash_error(indices): index = indices - tm.assert_raises_regex(TypeError, "unhashable type: %r" % - type(index).__name__, hash, indices) + with pytest.raises(TypeError, match=("unhashable type: %r" % + type(index).__name__)): + hash(indices) def test_mutability(indices): @@ -259,9 +260,8 @@ def test_mutability(indices): def test_wrong_number_names(indices): - def testit(ind): - ind.names = ["apple", "banana", "carrot"] - tm.assert_raises_regex(ValueError, "^Length", testit, indices) + with pytest.raises(ValueError, match="^Length"): + indices.names = ["apple", "banana", "carrot"] def test_memory_usage(idx): diff --git a/pandas/tests/indexes/multi/test_join.py b/pandas/tests/indexes/multi/test_join.py index 8d89ad9f1cd0c..f50ee29ba31cd 100644 --- a/pandas/tests/indexes/multi/test_join.py +++ b/pandas/tests/indexes/multi/test_join.py @@ -46,8 +46,8 @@ def test_join_level_corner_case(idx): result = index.join(idx, level='second') assert isinstance(result, MultiIndex) - tm.assert_raises_regex(TypeError, "Join.*MultiIndex.*ambiguous", - idx.join, idx, level=1) + with pytest.raises(TypeError, match="Join.*MultiIndex.*ambiguous"): + idx.join(idx, level=1) def test_join_self(idx, join_type): diff --git a/pandas/tests/indexes/multi/test_missing.py b/pandas/tests/indexes/multi/test_missing.py index 7a91ac6d96220..73e6579cf7771 100644 --- a/pandas/tests/indexes/multi/test_missing.py +++ b/pandas/tests/indexes/multi/test_missing.py @@ -20,7 +20,7 @@ def test_fillna(idx): elif isinstance(index, MultiIndex): idx = index.copy() msg = "isna is not defined for MultiIndex" - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): idx.fillna(idx[0]) else: idx = index.copy() @@ -29,7 +29,7 @@ def test_fillna(idx): assert result is not idx msg = "'value' must be a scalar, passed: " - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): idx.fillna([idx[0]]) idx = index.copy() @@ -71,7 +71,7 @@ def test_dropna(): tm.assert_index_equal(idx.dropna(how='all'), exp) msg = "invalid how option: xxx" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.dropna(how='xxx') @@ -80,7 +80,7 @@ def test_nulls(idx): # as these are adequately tested for function elsewhere msg = "isna is not defined for MultiIndex" - with tm.assert_raises_regex(NotImplementedError, msg): + with pytest.raises(NotImplementedError, match=msg): idx.isna() diff --git a/pandas/tests/indexes/multi/test_names.py b/pandas/tests/indexes/multi/test_names.py index 68e8bb0cf58f2..1f63f1ef100c1 100644 --- a/pandas/tests/indexes/multi/test_names.py +++ b/pandas/tests/indexes/multi/test_names.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- - +import pytest import pandas as pd import pandas.util.testing as tm from pandas import MultiIndex @@ -92,23 +92,22 @@ def test_names(idx, index_names): # setting bad names on existing index = idx - tm.assert_raises_regex(ValueError, "^Length of names", - setattr, index, "names", - list(index.names) + ["third"]) - tm.assert_raises_regex(ValueError, "^Length of names", - setattr, index, "names", []) + with pytest.raises(ValueError, match="^Length of names"): + setattr(index, "names", list(index.names) + ["third"]) + with pytest.raises(ValueError, match="^Length of names"): + setattr(index, "names", []) # initializing with bad names (should always be equivalent) major_axis, minor_axis = idx.levels major_labels, minor_labels = idx.labels - tm.assert_raises_regex(ValueError, "^Length of names", MultiIndex, - levels=[major_axis, minor_axis], - labels=[major_labels, minor_labels], - names=['first']) - tm.assert_raises_regex(ValueError, "^Length of names", MultiIndex, - levels=[major_axis, minor_axis], - labels=[major_labels, minor_labels], - names=['first', 'second', 'third']) + with pytest.raises(ValueError, match="^Length of names"): + MultiIndex(levels=[major_axis, minor_axis], + labels=[major_labels, minor_labels], + names=['first']) + with pytest.raises(ValueError, match="^Length of names"): + MultiIndex(levels=[major_axis, minor_axis], + labels=[major_labels, minor_labels], + names=['first', 'second', 'third']) # names are assigned index.names = ["a", "b"] @@ -120,5 +119,5 @@ def test_names(idx, index_names): def test_duplicate_level_names_access_raises(idx): # GH19029 idx.names = ['foo', 'foo'] - tm.assert_raises_regex(ValueError, 'name foo occurs multiple times', - idx._get_level_number, 'foo') + with pytest.raises(ValueError, match='name foo occurs multiple times'): + idx._get_level_number('foo') diff --git a/pandas/tests/indexes/multi/test_reindex.py b/pandas/tests/indexes/multi/test_reindex.py index f7651ac258d48..049096ad92c76 100644 --- a/pandas/tests/indexes/multi/test_reindex.py +++ b/pandas/tests/indexes/multi/test_reindex.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- - +import pytest import numpy as np import pandas as pd @@ -40,13 +40,11 @@ def test_reindex_level(idx): exp_indexer2 = np.array([0, -1, 0, -1, 0, -1]) tm.assert_numpy_array_equal(indexer2, exp_indexer2, check_dtype=False) - tm.assert_raises_regex(TypeError, "Fill method not supported", - idx.reindex, idx, - method='pad', level='second') + with pytest.raises(TypeError, match="Fill method not supported"): + idx.reindex(idx, method='pad', level='second') - tm.assert_raises_regex(TypeError, "Fill method not supported", - index.reindex, index, method='bfill', - level='first') + with pytest.raises(TypeError, match="Fill method not supported"): + index.reindex(index, method='bfill', level='first') def test_reindex_preserves_names_when_target_is_list_or_ndarray(idx): @@ -96,7 +94,7 @@ def test_reindex_base(idx): actual = idx.get_indexer(idx) tm.assert_numpy_array_equal(expected, actual) - with tm.assert_raises_regex(ValueError, 'Invalid fill method'): + with pytest.raises(ValueError, match='Invalid fill method'): idx.get_indexer(idx, method='invalid') @@ -104,6 +102,7 @@ def test_reindex_non_unique(): idx = pd.MultiIndex.from_tuples([(0, 0), (1, 1), (1, 1), (2, 2)]) a = pd.Series(np.arange(4), index=idx) new_idx = pd.MultiIndex.from_tuples([(0, 0), (1, 1), (2, 2)]) - with tm.assert_raises_regex(ValueError, - 'cannot handle a non-unique multi-index!'): + + msg = 'cannot handle a non-unique multi-index!' + with pytest.raises(ValueError, match=msg): a.reindex(new_idx) diff --git a/pandas/tests/indexes/multi/test_reshape.py b/pandas/tests/indexes/multi/test_reshape.py index 7750379bff445..dd747a0283e45 100644 --- a/pandas/tests/indexes/multi/test_reshape.py +++ b/pandas/tests/indexes/multi/test_reshape.py @@ -27,7 +27,7 @@ def test_insert(idx): # key wrong length msg = "Item must have length equal to number of levels" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.insert(0, ('foo2',)) left = pd.DataFrame([['a', 'b', 0], ['b', 'd', 1]], diff --git a/pandas/tests/indexes/multi/test_set_ops.py b/pandas/tests/indexes/multi/test_set_ops.py index 46d7a27e02aec..34da3df4fb16e 100644 --- a/pandas/tests/indexes/multi/test_set_ops.py +++ b/pandas/tests/indexes/multi/test_set_ops.py @@ -1,5 +1,6 @@ # -*- coding: utf-8 -*- +import pytest import numpy as np import pandas as pd @@ -7,18 +8,14 @@ from pandas import MultiIndex, Series -def test_setops_errorcases(idx): - # # non-iterable input - cases = [0.5, 'xxx'] - methods = [idx.intersection, idx.union, idx.difference, - idx.symmetric_difference] - - for method in methods: - for case in cases: - tm.assert_raises_regex(TypeError, - "Input must be Index " - "or array-like", - method, case) +@pytest.mark.parametrize("case", [0.5, "xxx"]) +@pytest.mark.parametrize("method", ["intersection", "union", + "difference", "symmetric_difference"]) +def test_set_ops_error_cases(idx, case, method): + # non-iterable input + msg = "Input must be Index or array-like" + with pytest.raises(TypeError, match=msg): + getattr(idx, method)(case) def test_intersection_base(idx): @@ -36,8 +33,8 @@ def test_intersection_base(idx): assert tm.equalContents(result, second) msg = "other must be a MultiIndex or a list of tuples" - with tm.assert_raises_regex(TypeError, msg): - result = first.intersection([1, 2, 3]) + with pytest.raises(TypeError, match=msg): + first.intersection([1, 2, 3]) def test_union_base(idx): @@ -55,8 +52,8 @@ def test_union_base(idx): assert tm.equalContents(result, everything) msg = "other must be a MultiIndex or a list of tuples" - with tm.assert_raises_regex(TypeError, msg): - result = first.union([1, 2, 3]) + with pytest.raises(TypeError, match=msg): + first.union([1, 2, 3]) def test_difference_base(idx): @@ -75,8 +72,8 @@ def test_difference_base(idx): assert tm.equalContents(result, answer) msg = "other must be a MultiIndex or a list of tuples" - with tm.assert_raises_regex(TypeError, msg): - result = first.difference([1, 2, 3]) + with pytest.raises(TypeError, match=msg): + first.difference([1, 2, 3]) def test_symmetric_difference(idx): @@ -94,7 +91,7 @@ def test_symmetric_difference(idx): assert tm.equalContents(result, answer) msg = "other must be a MultiIndex or a list of tuples" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): first.symmetric_difference([1, 2, 3]) @@ -159,9 +156,10 @@ def test_difference(idx): 'foo', 'two'), ('qux', 'one'), ('qux', 'two')]) expected.names = first.names assert first.names == result.names - tm.assert_raises_regex(TypeError, "other must be a MultiIndex " - "or a list of tuples", - first.difference, [1, 2, 3, 4, 5]) + + msg = "other must be a MultiIndex or a list of tuples" + with pytest.raises(TypeError, match=msg): + first.difference([1, 2, 3, 4, 5]) def test_union(idx): diff --git a/pandas/tests/indexes/multi/test_sorting.py b/pandas/tests/indexes/multi/test_sorting.py index 80e2b811ac062..7ad9b43e4c723 100644 --- a/pandas/tests/indexes/multi/test_sorting.py +++ b/pandas/tests/indexes/multi/test_sorting.py @@ -80,16 +80,16 @@ def test_numpy_argsort(idx): # backwards compatibility concerns if isinstance(type(idx), (CategoricalIndex, RangeIndex)): msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, - np.argsort, idx, axis=1) + with pytest.raises(ValueError, match=msg): + np.argsort(idx, axis=1) msg = "the 'kind' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.argsort, - idx, kind='mergesort') + with pytest.raises(ValueError, match=msg): + np.argsort(idx, kind='mergesort') msg = "the 'order' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.argsort, - idx, order=('a', 'b')) + with pytest.raises(ValueError, match=msg): + np.argsort(idx, order=('a', 'b')) def test_unsortedindex(): diff --git a/pandas/tests/indexes/period/test_astype.py b/pandas/tests/indexes/period/test_astype.py index f7c2bf3d6bf4f..3c384eed0a848 100644 --- a/pandas/tests/indexes/period/test_astype.py +++ b/pandas/tests/indexes/period/test_astype.py @@ -15,7 +15,7 @@ def test_astype_raises(self, dtype): # GH#13149, GH#13209 idx = PeriodIndex(['2016-05-16', 'NaT', NaT, np.NaN], freq='D') msg = 'Cannot cast PeriodArray to dtype' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): idx.astype(dtype) def test_astype_conversion(self): diff --git a/pandas/tests/indexes/period/test_construction.py b/pandas/tests/indexes/period/test_construction.py index fb74244d815c2..1ebc0ecb2fc02 100644 --- a/pandas/tests/indexes/period/test_construction.py +++ b/pandas/tests/indexes/period/test_construction.py @@ -199,7 +199,7 @@ def test_constructor_dtype(self): assert res.dtype == 'period[M]' msg = 'specified freq and dtype are different' - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): PeriodIndex(['2011-01'], freq='M', dtype='period[D]') def test_constructor_empty(self): @@ -208,7 +208,7 @@ def test_constructor_empty(self): assert len(idx) == 0 assert idx.freq == 'M' - with tm.assert_raises_regex(ValueError, 'freq not specified'): + with pytest.raises(ValueError, match='freq not specified'): pd.PeriodIndex([]) def test_constructor_pi_nat(self): @@ -234,35 +234,35 @@ def test_constructor_pi_nat(self): idx = PeriodIndex([pd.NaT, pd.NaT, '2011-01', '2011-01'], freq='M') tm.assert_index_equal(idx, exp) - with tm.assert_raises_regex(ValueError, 'freq not specified'): + with pytest.raises(ValueError, match='freq not specified'): PeriodIndex([pd.NaT, pd.NaT]) - with tm.assert_raises_regex(ValueError, 'freq not specified'): + with pytest.raises(ValueError, match='freq not specified'): PeriodIndex(np.array([pd.NaT, pd.NaT])) - with tm.assert_raises_regex(ValueError, 'freq not specified'): + with pytest.raises(ValueError, match='freq not specified'): PeriodIndex(['NaT', 'NaT']) - with tm.assert_raises_regex(ValueError, 'freq not specified'): + with pytest.raises(ValueError, match='freq not specified'): PeriodIndex(np.array(['NaT', 'NaT'])) def test_constructor_incompat_freq(self): msg = "Input has different freq=D from PeriodIndex\\(freq=M\\)" - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): PeriodIndex([Period('2011-01', freq='M'), pd.NaT, Period('2011-01', freq='D')]) - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): PeriodIndex(np.array([Period('2011-01', freq='M'), pd.NaT, Period('2011-01', freq='D')])) # first element is pd.NaT - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): PeriodIndex([pd.NaT, Period('2011-01', freq='M'), Period('2011-01', freq='D')]) - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): PeriodIndex(np.array([pd.NaT, Period('2011-01', freq='M'), Period('2011-01', freq='D')])) @@ -339,15 +339,15 @@ def test_constructor_freq_mult(self): msg = ('Frequency must be positive, because it' ' represents span: -1M') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): PeriodIndex(['2011-01'], freq='-1M') msg = ('Frequency must be positive, because it' ' represents span: 0M') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): PeriodIndex(['2011-01'], freq='0M') msg = ('Frequency must be positive, because it' ' represents span: 0M') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): period_range('2011-01', periods=3, freq='0M') @pytest.mark.parametrize('freq', ['A', 'M', 'D', 'T', 'S']) @@ -442,12 +442,12 @@ def test_constructor_error(self): end_intv = Period('2006-12-31', ('w', 1)) msg = 'start and end must have same freq' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): PeriodIndex(start=start, end=end_intv) msg = ('Of the three parameters: start, end, and periods, ' 'exactly two must be specified') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): PeriodIndex(start=start) @pytest.mark.parametrize('freq', ['M', 'Q', 'A', 'D', 'B', diff --git a/pandas/tests/indexes/period/test_indexing.py b/pandas/tests/indexes/period/test_indexing.py index 880e37c59c9c4..c92769311d848 100644 --- a/pandas/tests/indexes/period/test_indexing.py +++ b/pandas/tests/indexes/period/test_indexing.py @@ -101,10 +101,9 @@ def test_getitem_partial(self): tm.assert_series_equal(exp, result) ts = ts[10:].append(ts[10:]) - tm.assert_raises_regex(KeyError, - "left slice bound for non-unique " - "label: '2008'", - ts.__getitem__, slice('2008', '2009')) + msg = "left slice bound for non-unique label: '2008'" + with pytest.raises(KeyError, match=msg): + ts[slice('2008', '2009')] def test_getitem_datetime(self): rng = period_range(start='2012-01-01', periods=10, freq='W-MON') @@ -313,9 +312,9 @@ def test_take_fill_value(self): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): @@ -362,9 +361,9 @@ def test_get_loc(self): assert idx0.get_loc(p2) == expected_idx1_p2 assert idx0.get_loc(str(p2)) == expected_idx1_p2 - tm.assert_raises_regex(KeyError, - "Cannot interpret 'foo' as period", - idx0.get_loc, 'foo') + msg = "Cannot interpret 'foo' as period" + with pytest.raises(KeyError, match=msg): + idx0.get_loc('foo') pytest.raises(KeyError, idx0.get_loc, 1.1) pytest.raises(TypeError, idx0.get_loc, idx0) @@ -379,9 +378,10 @@ def test_get_loc(self): assert idx1.get_loc(p2) == expected_idx1_p2 assert idx1.get_loc(str(p2)) == expected_idx1_p2 - tm.assert_raises_regex(KeyError, - "Cannot interpret 'foo' as period", - idx1.get_loc, 'foo') + msg = "Cannot interpret 'foo' as period" + with pytest.raises(KeyError, match=msg): + idx1.get_loc('foo') + pytest.raises(KeyError, idx1.get_loc, 1.1) pytest.raises(TypeError, idx1.get_loc, idx1) @@ -564,12 +564,13 @@ def test_get_loc2(self): tolerance=np.timedelta64(1, 'D')) == 1 assert idx.get_loc('2000-01-02T12', method='nearest', tolerance=timedelta(1)) == 1 - with tm.assert_raises_regex(ValueError, - 'unit abbreviation w/o a number'): + + msg = 'unit abbreviation w/o a number' + with pytest.raises(ValueError, match=msg): idx.get_loc('2000-01-10', method='nearest', tolerance='foo') msg = 'Input has different freq from PeriodArray\\(freq=D\\)' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.get_loc('2000-01-10', method='nearest', tolerance='1 hour') with pytest.raises(KeyError): idx.get_loc('2000-01-10', method='nearest', tolerance='1 day') @@ -599,7 +600,7 @@ def test_get_indexer2(self): np.array([0, -1, 1], dtype=np.intp)) msg = 'Input has different freq from PeriodArray\\(freq=H\\)' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.get_indexer(target, 'nearest', tolerance='1 minute') tm.assert_numpy_array_equal(idx.get_indexer(target, 'nearest', diff --git a/pandas/tests/indexes/period/test_ops.py b/pandas/tests/indexes/period/test_ops.py index ede5256db2f1d..01347db4db3b2 100644 --- a/pandas/tests/indexes/period/test_ops.py +++ b/pandas/tests/indexes/period/test_ops.py @@ -65,17 +65,19 @@ def test_numpy_minmax(self): assert np.max(pr) == Period('2016-01-20', freq='D') errmsg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, errmsg, np.min, pr, out=0) - tm.assert_raises_regex(ValueError, errmsg, np.max, pr, out=0) + with pytest.raises(ValueError, match=errmsg): + np.min(pr, out=0) + with pytest.raises(ValueError, match=errmsg): + np.max(pr, out=0) assert np.argmin(pr) == 0 assert np.argmax(pr) == 5 errmsg = "the 'out' parameter is not supported" - tm.assert_raises_regex( - ValueError, errmsg, np.argmin, pr, out=0) - tm.assert_raises_regex( - ValueError, errmsg, np.argmax, pr, out=0) + with pytest.raises(ValueError, match=errmsg): + np.argmin(pr, out=0) + with pytest.raises(ValueError, match=errmsg): + np.argmax(pr, out=0) def test_resolution(self): for freq, expected in zip(['A', 'Q', 'M', 'D', 'H', diff --git a/pandas/tests/indexes/period/test_partial_slicing.py b/pandas/tests/indexes/period/test_partial_slicing.py index fcf1156266880..137a7be987d5b 100644 --- a/pandas/tests/indexes/period/test_partial_slicing.py +++ b/pandas/tests/indexes/period/test_partial_slicing.py @@ -41,12 +41,12 @@ def assert_slices_equivalent(l_slc, i_slc): def test_slice_with_zero_step_raises(self): ts = Series(np.arange(20), period_range('2014-01', periods=20, freq='M')) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts[::0]) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts.loc[::0]) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts.loc[::0]) + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts[::0] + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts.loc[::0] + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts.loc[::0] def test_slice_keep_name(self): idx = period_range('20010101', periods=10, freq='D', name='bob') diff --git a/pandas/tests/indexes/period/test_period.py b/pandas/tests/indexes/period/test_period.py index 8d10cb8e42a94..ddb3fe686534a 100644 --- a/pandas/tests/indexes/period/test_period.py +++ b/pandas/tests/indexes/period/test_period.py @@ -92,8 +92,8 @@ def test_difference_freq(self): def test_hash_error(self): index = period_range('20010101', periods=10) - with tm.assert_raises_regex(TypeError, "unhashable type: %r" % - type(index).__name__): + with pytest.raises(TypeError, match=("unhashable type: %r" % + type(index).__name__)): hash(index) def test_make_time_series(self): @@ -452,8 +452,8 @@ def test_numpy_repeat(self): tm.assert_index_equal(np.repeat(index, 2), expected) msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex( - ValueError, msg, np.repeat, index, 2, axis=1) + with pytest.raises(ValueError, match=msg): + np.repeat(index, 2, axis=1) def test_pindex_multiples(self): pi = PeriodIndex(start='1/1/11', end='12/31/11', freq='2M') @@ -568,5 +568,5 @@ def test_maybe_convert_timedelta(): assert pi._maybe_convert_timedelta(2) == 2 offset = offsets.BusinessDay() - with tm.assert_raises_regex(ValueError, 'freq'): + with pytest.raises(ValueError, match='freq'): pi._maybe_convert_timedelta(offset) diff --git a/pandas/tests/indexes/period/test_period_range.py b/pandas/tests/indexes/period/test_period_range.py index 11d38df1dd49c..aa300111ba67a 100644 --- a/pandas/tests/indexes/period/test_period_range.py +++ b/pandas/tests/indexes/period/test_period_range.py @@ -65,31 +65,31 @@ def test_errors(self): # not enough params msg = ('Of the three parameters: start, end, and periods, ' 'exactly two must be specified') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): period_range(start='2017Q1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): period_range(end='2017Q1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): period_range(periods=5) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): period_range() # too many params - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): period_range(start='2017Q1', end='2018Q1', periods=8, freq='Q') # start/end NaT msg = 'start and end must not be NaT' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): period_range(start=NaT, end='2018Q1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): period_range(start='2017Q1', end=NaT) # invalid periods param msg = 'periods must be a number, got foo' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): period_range(start='2017Q1', periods='foo') diff --git a/pandas/tests/indexes/period/test_setops.py b/pandas/tests/indexes/period/test_setops.py index c4dd23b1708db..c8b7d82855519 100644 --- a/pandas/tests/indexes/period/test_setops.py +++ b/pandas/tests/indexes/period/test_setops.py @@ -106,7 +106,7 @@ def test_union_misc(self): index.union(index2) msg = 'can only call with other PeriodIndex-ed objects' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index.join(index.to_timestamp()) index3 = period_range('1/1/2000', '1/20/2000', freq='2D') diff --git a/pandas/tests/indexes/period/test_tools.py b/pandas/tests/indexes/period/test_tools.py index 8d09273bde63d..c8e1e6c1f3525 100644 --- a/pandas/tests/indexes/period/test_tools.py +++ b/pandas/tests/indexes/period/test_tools.py @@ -180,7 +180,7 @@ def test_to_period_monthish(self): assert prng.freq == 'M' msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range('01-Jan-2012', periods=8, freq='EOM') def test_period_dt64_round_trip(self): @@ -219,11 +219,11 @@ def test_searchsorted(self, freq): assert pidx.searchsorted(p2) == 3 msg = "Input has different freq=H from PeriodIndex" - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): pidx.searchsorted(pd.Period('2014-01-01', freq='H')) msg = "Input has different freq=5D from PeriodIndex" - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): pidx.searchsorted(pd.Period('2014-01-01', freq='5D')) @@ -260,7 +260,7 @@ def test_to_timestamp_pi_nat(self): msg = ('Frequency must be positive, because it' ' represents span: -2A') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): result.to_period(freq='-2A') def test_to_timestamp_preserve_name(self): diff --git a/pandas/tests/indexes/test_base.py b/pandas/tests/indexes/test_base.py index 724dffc49dd3b..666420a6a9b06 100644 --- a/pandas/tests/indexes/test_base.py +++ b/pandas/tests/indexes/test_base.py @@ -267,7 +267,7 @@ def test_constructor_int_dtype_nan_raises(self, dtype): # see gh-15187 data = [np.nan] msg = "cannot convert" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Index(data, dtype=dtype) @pytest.mark.parametrize("klass,dtype,na_val", [ @@ -464,29 +464,28 @@ def test_constructor_empty_special(self, empty, klass): assert isinstance(empty, klass) assert not len(empty) - def test_constructor_nonhashable_name(self, indices): + def test_constructor_non_hashable_name(self, indices): # GH 20527 if isinstance(indices, MultiIndex): pytest.skip("multiindex handled in test_multi.py") - name = ['0'] message = "Index.name must be a hashable type" - tm.assert_raises_regex(TypeError, message, name=name) + renamed = [['1']] # With .rename() - renamed = [['1']] - tm.assert_raises_regex(TypeError, message, - indices.rename, name=renamed) + with pytest.raises(TypeError, match=message): + indices.rename(name=renamed) + # With .set_names() - tm.assert_raises_regex(TypeError, message, - indices.set_names, names=renamed) + with pytest.raises(TypeError, match=message): + indices.set_names(names=renamed) def test_constructor_overflow_int64(self): # see gh-15832 msg = ("The elements provided in the data cannot " "all be casted to the dtype int64") - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): Index([np.iinfo(np.uint64).max - 1], dtype="int64") @pytest.mark.xfail(reason="see GH#21311: Index " @@ -494,7 +493,7 @@ def test_constructor_overflow_int64(self): strict=True) def test_constructor_cast(self): msg = "could not convert string to float" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Index(["a", "b", "c"], dtype=float) def test_view_with_args(self): @@ -1327,10 +1326,10 @@ def test_get_indexer_invalid(self): # GH10411 index = Index(np.arange(10)) - with tm.assert_raises_regex(ValueError, 'tolerance argument'): + with pytest.raises(ValueError, match='tolerance argument'): index.get_indexer([1, 0], tolerance=1) - with tm.assert_raises_regex(ValueError, 'limit argument'): + with pytest.raises(ValueError, match='limit argument'): index.get_indexer([1, 0], limit=1) @pytest.mark.parametrize( @@ -1378,7 +1377,7 @@ def test_get_indexer_nearest_listlike_tolerance(self, tolerance, def test_get_indexer_nearest_error(self): index = Index(np.arange(10)) - with tm.assert_raises_regex(ValueError, 'limit argument'): + with pytest.raises(ValueError, match='limit argument'): index.get_indexer([1, 0], method='nearest', limit=1) with pytest.raises(ValueError, match='tolerance size must match'): @@ -1465,7 +1464,7 @@ def test_get_loc_raises_bad_label(self, method): else: msg = 'invalid key' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): index.get_loc([1, 2], method=method) @pytest.mark.parametrize("method,loc", [ @@ -1478,32 +1477,32 @@ def test_get_loc_tolerance(self, method, loc): @pytest.mark.parametrize("method", ['pad', 'backfill', 'nearest']) def test_get_loc_outside_tolerance_raises(self, method): index = pd.Index([0, 1, 2]) - with tm.assert_raises_regex(KeyError, '1.1'): + with pytest.raises(KeyError, match='1.1'): index.get_loc(1.1, method, tolerance=0.05) def test_get_loc_bad_tolerance_raises(self): index = pd.Index([0, 1, 2]) - with tm.assert_raises_regex(ValueError, 'must be numeric'): + with pytest.raises(ValueError, match='must be numeric'): index.get_loc(1.1, 'nearest', tolerance='invalid') def test_get_loc_tolerance_no_method_raises(self): index = pd.Index([0, 1, 2]) - with tm.assert_raises_regex(ValueError, 'tolerance .* valid if'): + with pytest.raises(ValueError, match='tolerance .* valid if'): index.get_loc(1.1, tolerance=1) def test_get_loc_raises_missized_tolerance(self): index = pd.Index([0, 1, 2]) - with tm.assert_raises_regex(ValueError, 'tolerance size must match'): + with pytest.raises(ValueError, match='tolerance size must match'): index.get_loc(1.1, 'nearest', tolerance=[1, 1]) def test_get_loc_raises_object_nearest(self): index = pd.Index(['a', 'c']) - with tm.assert_raises_regex(TypeError, 'unsupported operand type'): + with pytest.raises(TypeError, match='unsupported operand type'): index.get_loc('a', method='nearest') def test_get_loc_raises_object_tolerance(self): index = pd.Index(['a', 'c']) - with tm.assert_raises_regex(TypeError, 'unsupported operand type'): + with pytest.raises(TypeError, match='unsupported operand type'): index.get_loc('a', method='pad', tolerance='invalid') @pytest.mark.parametrize("dtype", [int, float]) @@ -1585,10 +1584,10 @@ def test_slice_locs_na(self): def test_slice_locs_na_raises(self): index = Index([np.nan, 1, 2]) - with tm.assert_raises_regex(KeyError, ''): + with pytest.raises(KeyError, match=''): index.slice_locs(start=1.5) - with tm.assert_raises_regex(KeyError, ''): + with pytest.raises(KeyError, match=''): index.slice_locs(end=1.5) @pytest.mark.parametrize("in_slice,expected", [ @@ -1627,7 +1626,7 @@ def test_drop_by_str_label(self): @pytest.mark.parametrize("keys", [['foo', 'bar'], ['1', 'bar']]) def test_drop_by_str_label_raises_missing_keys(self, keys): - with tm.assert_raises_regex(KeyError, ''): + with pytest.raises(KeyError, match=''): self.strIndex.drop(keys) def test_drop_by_str_label_errors_ignore(self): @@ -1656,7 +1655,7 @@ def test_drop_by_numeric_label_loc(self): def test_drop_by_numeric_label_raises_missing_keys(self): index = Index([1, 2, 3]) - with tm.assert_raises_regex(KeyError, ''): + with pytest.raises(KeyError, match=''): index.drop([3, 4]) @pytest.mark.parametrize("key,expected", [ @@ -1789,7 +1788,7 @@ def test_isin_level_kwarg(self, level, index): # Float64Index overrides isin, so must be checked separately Float64Index([1.0, 2.0, 3.0, 4.0])]) def test_isin_level_kwarg_raises_bad_index(self, level, index): - with tm.assert_raises_regex(IndexError, 'Too many levels'): + with pytest.raises(IndexError, match='Too many levels'): index.isin([], level=level) @pytest.mark.parametrize("level", [1.0, 'foobar', 'xyzzy', np.nan]) @@ -1797,7 +1796,7 @@ def test_isin_level_kwarg_raises_bad_index(self, level, index): Index(['qux', 'baz', 'foo', 'bar']), Float64Index([1.0, 2.0, 3.0, 4.0])]) def test_isin_level_kwarg_raises_key(self, level, index): - with tm.assert_raises_regex(KeyError, 'must be same as name'): + with pytest.raises(KeyError, match='must be same as name'): index.isin([], level=level) @pytest.mark.parametrize("empty", [[], Series(), np.array([])]) @@ -1860,7 +1859,7 @@ def test_str_attribute(self, method): MultiIndex.from_tuples([('foo', '1'), ('bar', '3')]), PeriodIndex(start='2000', end='2010', freq='A')]) def test_str_attribute_raises(self, index): - with tm.assert_raises_regex(AttributeError, 'only use .str accessor'): + with pytest.raises(AttributeError, match='only use .str accessor'): index.str.repeat(2) @pytest.mark.parametrize("expand,expected", [ @@ -1951,14 +1950,14 @@ def test_take_fill_value_none_raises(self): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): index.take(np.array([1, 0, -5]), fill_value=True) def test_take_bad_bounds_raises(self): index = pd.Index(list('ABC'), name='xxx') - with tm.assert_raises_regex(IndexError, 'out of bounds'): + with pytest.raises(IndexError, match='out of bounds'): index.take(np.array([1, -5])) @pytest.mark.parametrize("name", [None, 'foobar']) @@ -2032,7 +2031,7 @@ def test_equals_op_multiindex_identify(self): def test_equals_op_mismatched_multiindex_raises(self, index): df = pd.read_csv(StringIO('a,b,c\n1,2,3\n4,5,6'), index_col=[0, 1]) - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): df.index == index def test_equals_op_index_vs_mi_same_length(self): @@ -2240,7 +2239,7 @@ def test_iadd_preserves_name(self): def test_cached_properties_not_settable(self): index = pd.Index([1, 2, 3]) - with tm.assert_raises_regex(AttributeError, "Can't set attribute"): + with pytest.raises(AttributeError, match="Can't set attribute"): index.is_unique = False def test_get_duplicates_deprecated(self): @@ -2277,10 +2276,10 @@ def create_index(self): def test_argsort(self): index = self.create_index() if PY36: - with tm.assert_raises_regex(TypeError, "'>|<' not supported"): + with pytest.raises(TypeError, match="'>|<' not supported"): result = index.argsort() elif PY3: - with tm.assert_raises_regex(TypeError, "unorderable types"): + with pytest.raises(TypeError, match="unorderable types"): result = index.argsort() else: result = index.argsort() @@ -2290,10 +2289,10 @@ def test_argsort(self): def test_numpy_argsort(self): index = self.create_index() if PY36: - with tm.assert_raises_regex(TypeError, "'>|<' not supported"): + with pytest.raises(TypeError, match="'>|<' not supported"): result = np.argsort(index) elif PY3: - with tm.assert_raises_regex(TypeError, "unorderable types"): + with pytest.raises(TypeError, match="unorderable types"): result = np.argsort(index) else: result = np.argsort(index) @@ -2462,7 +2461,7 @@ def test_dropna_dt_like(self, how, index, expected): def test_dropna_invalid_how_raises(self): msg = "invalid how option: xxx" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.Index([1, 2, 3]).dropna(how='xxx') def test_get_combined_index(self): @@ -2586,7 +2585,7 @@ def test_generated_op_names(opname, indices): @pytest.mark.parametrize('index_maker', tm.index_subclass_makers_generator()) def test_index_subclass_constructor_wrong_kwargs(index_maker): # GH #19348 - with tm.assert_raises_regex(TypeError, 'unexpected keyword argument'): + with pytest.raises(TypeError, match='unexpected keyword argument'): index_maker(foo='bar') diff --git a/pandas/tests/indexes/test_category.py b/pandas/tests/indexes/test_category.py index 5c4e4d2417957..6c5a70d76e3b5 100644 --- a/pandas/tests/indexes/test_category.py +++ b/pandas/tests/indexes/test_category.py @@ -342,7 +342,7 @@ def test_append(self): result = ci.append([]) tm.assert_index_equal(result, ci, exact=True) - # appending with different categories or reoreded is not ok + # appending with different categories or reordered is not ok pytest.raises( TypeError, lambda: ci.append(ci.values.set_categories(list('abcd')))) @@ -481,7 +481,7 @@ def test_reindex_base(self): actual = idx.get_indexer(idx) tm.assert_numpy_array_equal(expected, actual) - with tm.assert_raises_regex(ValueError, "Invalid fill method"): + with pytest.raises(ValueError, match="Invalid fill method"): idx.get_indexer(idx, method="invalid") def test_reindexing(self): @@ -758,7 +758,7 @@ def test_equals_categorical(self): assert (ci1 == ci1.values).all() # invalid comparisons - with tm.assert_raises_regex(ValueError, "Lengths must match"): + with pytest.raises(ValueError, match="Lengths must match"): ci1 == Index(['a', 'b', 'c']) pytest.raises(TypeError, lambda: ci1 == ci2) pytest.raises( @@ -1000,8 +1000,8 @@ def test_fillna_categorical(self): tm.assert_index_equal(idx.fillna(1.0), exp) # fill by value not in categories raises ValueError - with tm.assert_raises_regex(ValueError, - 'fill value must be in categories'): + msg = 'fill value must be in categories' + with pytest.raises(ValueError, match=msg): idx.fillna(2.0) def test_take_fill_value(self): @@ -1055,9 +1055,9 @@ def test_take_fill_value(self): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): @@ -1093,9 +1093,9 @@ def test_take_fill_value_datetime(self): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): @@ -1106,16 +1106,16 @@ def test_take_invalid_kwargs(self): indices = [1, 0, -1] msg = r"take\(\) got an unexpected keyword argument 'foo'" - tm.assert_raises_regex(TypeError, msg, idx.take, - indices, foo=2) + with pytest.raises(TypeError, match=msg): + idx.take(indices, foo=2) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, out=indices) + with pytest.raises(ValueError, match=msg): + idx.take(indices, out=indices) msg = "the 'mode' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, mode='clip') + with pytest.raises(ValueError, match=msg): + idx.take(indices, mode='clip') @pytest.mark.parametrize('dtype, engine_type', [ (np.int8, libindex.Int8Engine), diff --git a/pandas/tests/indexes/test_numeric.py b/pandas/tests/indexes/test_numeric.py index 8373cbc89149a..c125db16bcbff 100644 --- a/pandas/tests/indexes/test_numeric.py +++ b/pandas/tests/indexes/test_numeric.py @@ -232,7 +232,7 @@ def test_astype(self): def test_type_coercion_fail(self, any_int_dtype): # see gh-15832 msg = "Trying to coerce float values to integers" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Index([1, 2, 3.5], dtype=any_int_dtype) def test_type_coercion_valid(self, float_dtype): @@ -288,7 +288,7 @@ def test_get_loc(self): pytest.raises(KeyError, idx.get_loc, True) pytest.raises(KeyError, idx.get_loc, False) - with tm.assert_raises_regex(ValueError, 'must be numeric'): + with pytest.raises(ValueError, match='must be numeric'): idx.get_loc(1.4, method='nearest', tolerance='foo') with pytest.raises(ValueError, match='must contain numeric elements'): @@ -393,9 +393,9 @@ def test_take_fill_value(self): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): @@ -540,7 +540,7 @@ def test_take_fill_value(self): "{name} cannot contain NA").format(name=name) # fill_value=True - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -1]), fill_value=True) # allow_fill=False @@ -549,9 +549,9 @@ def test_take_fill_value(self): expected = self._holder([2, 1, 3], name='xxx') tm.assert_index_equal(result, expected) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): @@ -613,11 +613,11 @@ def test_constructor_corner(self): # preventing casting arr = np.array([1, '2', 3, '4'], dtype=object) - with tm.assert_raises_regex(TypeError, 'casting'): + with pytest.raises(TypeError, match='casting'): Int64Index(arr) arr_with_floats = [0, 2, 3, 4, 5, 1.25, 3, -1] - with tm.assert_raises_regex(TypeError, 'casting'): + with pytest.raises(TypeError, match='casting'): Int64Index(arr_with_floats) def test_constructor_coercion_signed_to_unsigned(self, uint_dtype): @@ -625,7 +625,7 @@ def test_constructor_coercion_signed_to_unsigned(self, uint_dtype): # see gh-15832 msg = "Trying to coerce negative values to unsigned integers" - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): Index([-1], dtype=uint_dtype) def test_coerce_list(self): diff --git a/pandas/tests/indexes/test_range.py b/pandas/tests/indexes/test_range.py index efea9b58ecb7a..d0f8768456bc5 100644 --- a/pandas/tests/indexes/test_range.py +++ b/pandas/tests/indexes/test_range.py @@ -63,11 +63,9 @@ def test_binops_pow(self): self.check_binop(ops, scalars, idxs) def test_too_many_names(self): - def testit(): + with pytest.raises(ValueError, match="^Length"): self.index.names = ["roger", "harold"] - tm.assert_raises_regex(ValueError, "^Length", testit) - def test_constructor(self): index = RangeIndex(5) expected = np.arange(5, dtype=np.int64) @@ -91,7 +89,7 @@ def test_constructor(self): tm.assert_index_equal(Index(expected), index) msg = "RangeIndex\\(\\.\\.\\.\\) must be called with integers" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): RangeIndex() for index in [RangeIndex(0), RangeIndex(start=0), RangeIndex(stop=0), @@ -103,7 +101,7 @@ def test_constructor(self): assert index._step == 1 tm.assert_index_equal(Index(expected), index) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): RangeIndex(name='Foo') for index in [RangeIndex(0, name='Foo'), @@ -765,7 +763,7 @@ def test_take_fill_value(self): # fill_value msg = "Unable to fill values because RangeIndex cannot contain NA" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -1]), fill_value=True) # allow_fill=False @@ -775,9 +773,9 @@ def test_take_fill_value(self): tm.assert_index_equal(result, expected) msg = "Unable to fill values because RangeIndex cannot contain NA" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): diff --git a/pandas/tests/indexes/timedeltas/test_astype.py b/pandas/tests/indexes/timedeltas/test_astype.py index 54f1ac601fd69..1a0481b730618 100644 --- a/pandas/tests/indexes/timedeltas/test_astype.py +++ b/pandas/tests/indexes/timedeltas/test_astype.py @@ -75,5 +75,5 @@ def test_astype_raises(self, dtype): # GH 13149, GH 13209 idx = TimedeltaIndex([1e14, 'NaT', NaT, np.NaN]) msg = 'Cannot cast TimedeltaIndex to dtype' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): idx.astype(dtype) diff --git a/pandas/tests/indexes/timedeltas/test_construction.py b/pandas/tests/indexes/timedeltas/test_construction.py index a5cfad98b31c1..1abda624777c8 100644 --- a/pandas/tests/indexes/timedeltas/test_construction.py +++ b/pandas/tests/indexes/timedeltas/test_construction.py @@ -57,7 +57,7 @@ def test_constructor_coverage(self): tm.assert_index_equal(rng, exp) msg = 'periods must be a number, got foo' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): TimedeltaIndex(start='1 days', periods='foo', freq='D') pytest.raises(ValueError, TimedeltaIndex, start='1 days', diff --git a/pandas/tests/indexes/timedeltas/test_indexing.py b/pandas/tests/indexes/timedeltas/test_indexing.py index e0e932efafd55..bfed4114929b7 100644 --- a/pandas/tests/indexes/timedeltas/test_indexing.py +++ b/pandas/tests/indexes/timedeltas/test_indexing.py @@ -101,16 +101,16 @@ def test_take_invalid_kwargs(self): indices = [1, 6, 5, 9, 10, 13, 15, 3] msg = r"take\(\) got an unexpected keyword argument 'foo'" - tm.assert_raises_regex(TypeError, msg, idx.take, - indices, foo=2) + with pytest.raises(TypeError, match=msg): + idx.take(indices, foo=2) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, out=indices) + with pytest.raises(ValueError, match=msg): + idx.take(indices, out=indices) msg = "the 'mode' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, idx.take, - indices, mode='clip') + with pytest.raises(ValueError, match=msg): + idx.take(indices, mode='clip') # TODO: This method came from test_timedelta; de-dup with version above def test_take2(self): @@ -151,9 +151,9 @@ def test_take_fill_value(self): msg = ('When allow_fill=True and fill_value is not None, ' 'all indices must be >= -1') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -2]), fill_value=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.take(np.array([1, 0, -5]), fill_value=True) with pytest.raises(IndexError): @@ -239,8 +239,8 @@ def test_delete(self): assert result.freq == expected.freq with pytest.raises((IndexError, ValueError)): - # either depeidnig on numpy version - result = idx.delete(5) + # either depending on numpy version + idx.delete(5) def test_delete_slice(self): idx = timedelta_range(start='1 days', periods=10, freq='D', name='idx') @@ -285,8 +285,7 @@ def test_get_loc(self): assert idx.get_loc(idx[1], 'pad', tolerance=timedelta(0)) == 1 - with tm.assert_raises_regex(ValueError, - 'unit abbreviation w/o a number'): + with pytest.raises(ValueError, match='unit abbreviation w/o a number'): idx.get_loc(idx[1], method='nearest', tolerance='foo') with pytest.raises( diff --git a/pandas/tests/indexes/timedeltas/test_ops.py b/pandas/tests/indexes/timedeltas/test_ops.py index a8cfdd0add178..2fc0a49d789fd 100644 --- a/pandas/tests/indexes/timedeltas/test_ops.py +++ b/pandas/tests/indexes/timedeltas/test_ops.py @@ -61,17 +61,19 @@ def test_numpy_minmax(self): assert np.max(td) == Timedelta('16820 days') errmsg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, errmsg, np.min, td, out=0) - tm.assert_raises_regex(ValueError, errmsg, np.max, td, out=0) + with pytest.raises(ValueError, match=errmsg): + np.min(td, out=0) + with pytest.raises(ValueError, match=errmsg): + np.max(td, out=0) assert np.argmin(td) == 0 assert np.argmax(td) == 5 errmsg = "the 'out' parameter is not supported" - tm.assert_raises_regex( - ValueError, errmsg, np.argmin, td, out=0) - tm.assert_raises_regex( - ValueError, errmsg, np.argmax, td, out=0) + with pytest.raises(ValueError, match=errmsg): + np.argmin(td, out=0) + with pytest.raises(ValueError, match=errmsg): + np.argmax(td, out=0) def test_value_counts_unique(self): # GH 7735 @@ -317,16 +319,16 @@ def test_freq_setter_errors(self): # setting with an incompatible freq msg = ('Inferred frequency 2D from passed values does not conform to ' 'passed frequency 5D') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.freq = '5D' # setting with a non-fixed frequency msg = r'<2 \* BusinessDays> is a non-fixed frequency' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): idx.freq = '2B' # setting with non-freq string - with tm.assert_raises_regex(ValueError, 'Invalid frequency'): + with pytest.raises(ValueError, match='Invalid frequency'): idx.freq = 'foo' diff --git a/pandas/tests/indexes/timedeltas/test_partial_slicing.py b/pandas/tests/indexes/timedeltas/test_partial_slicing.py index 4dfce3dbe23a6..62bf2a0b4a1cf 100644 --- a/pandas/tests/indexes/timedeltas/test_partial_slicing.py +++ b/pandas/tests/indexes/timedeltas/test_partial_slicing.py @@ -2,7 +2,6 @@ import pytest import pandas as pd -import pandas.util.testing as tm from pandas import Series, Timedelta, timedelta_range from pandas.util.testing import assert_series_equal @@ -78,9 +77,9 @@ def assert_slices_equivalent(l_slc, i_slc): def test_slice_with_zero_step_raises(self): ts = Series(np.arange(20), timedelta_range('0', periods=20, freq='H')) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts[::0]) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts.loc[::0]) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: ts.loc[::0]) + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts[::0] + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts.loc[::0] + with pytest.raises(ValueError, match='slice step cannot be zero'): + ts.loc[::0] diff --git a/pandas/tests/indexes/timedeltas/test_scalar_compat.py b/pandas/tests/indexes/timedeltas/test_scalar_compat.py index b1d8a12943dca..abd08e37681dd 100644 --- a/pandas/tests/indexes/timedeltas/test_scalar_compat.py +++ b/pandas/tests/indexes/timedeltas/test_scalar_compat.py @@ -3,6 +3,7 @@ Tests for TimedeltaIndex methods behaving like their Timedelta counterparts """ +import pytest import numpy as np import pandas as pd @@ -51,13 +52,13 @@ def test_tdi_round(self): assert elt.round(freq='H') == expected_elt msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): td.round(freq='foo') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): elt.round(freq='foo') msg = " is a non-fixed frequency" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): td.round(freq='M') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): elt.round(freq='M') diff --git a/pandas/tests/indexes/timedeltas/test_timedelta.py b/pandas/tests/indexes/timedeltas/test_timedelta.py index 9bc2e93f8468c..1d068971fad2d 100644 --- a/pandas/tests/indexes/timedeltas/test_timedelta.py +++ b/pandas/tests/indexes/timedeltas/test_timedelta.py @@ -199,8 +199,8 @@ def test_pickle(self): def test_hash_error(self): index = timedelta_range('1 days', periods=10) - with tm.assert_raises_regex(TypeError, "unhashable type: %r" % - type(index).__name__): + with pytest.raises(TypeError, match=("unhashable type: %r" % + type(index).__name__)): hash(index) def test_append_join_nondatetimeindex(self): diff --git a/pandas/tests/indexes/timedeltas/test_timedelta_range.py b/pandas/tests/indexes/timedeltas/test_timedelta_range.py index e77c03465d047..238fd861a92ab 100644 --- a/pandas/tests/indexes/timedeltas/test_timedelta_range.py +++ b/pandas/tests/indexes/timedeltas/test_timedelta_range.py @@ -36,10 +36,10 @@ def test_timedelta_range(self): arr = np.arange(10).reshape(2, 5) df = pd.DataFrame(np.arange(10).reshape(2, 5)) for arg in (arr, df): - with tm.assert_raises_regex(TypeError, "1-d array"): + with pytest.raises(TypeError, match="1-d array"): to_timedelta(arg) for errors in ['ignore', 'raise', 'coerce']: - with tm.assert_raises_regex(TypeError, "1-d array"): + with pytest.raises(TypeError, match="1-d array"): to_timedelta(arg, errors=errors) # issue10583 @@ -65,18 +65,18 @@ def test_errors(self): # not enough params msg = ('Of the four parameters: start, end, periods, and freq, ' 'exactly three must be specified') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): timedelta_range(start='0 days') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): timedelta_range(end='5 days') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): timedelta_range(periods=2) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): timedelta_range() # too many params - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): timedelta_range(start='0 days', end='5 days', periods=10, freq='H') diff --git a/pandas/tests/indexes/timedeltas/test_tools.py b/pandas/tests/indexes/timedeltas/test_tools.py index 95a77f1b7fe44..b56dd3cababb9 100644 --- a/pandas/tests/indexes/timedeltas/test_tools.py +++ b/pandas/tests/indexes/timedeltas/test_tools.py @@ -110,8 +110,8 @@ def test_to_timedelta_invalid(self): # bad value for errors parameter msg = "errors must be one of" - tm.assert_raises_regex(ValueError, msg, to_timedelta, - ['foo'], errors='never') + with pytest.raises(ValueError, match=msg): + to_timedelta(['foo'], errors='never') # these will error pytest.raises(ValueError, lambda: to_timedelta([1, 2], unit='foo')) diff --git a/pandas/tests/indexing/test_categorical.py b/pandas/tests/indexing/test_categorical.py index 3a235e1eeb0dc..b7443e242137b 100644 --- a/pandas/tests/indexing/test_categorical.py +++ b/pandas/tests/indexing/test_categorical.py @@ -362,10 +362,9 @@ def test_loc_listlike_dtypes(self): exp = DataFrame({'A': [1, 1, 2], 'B': [4, 4, 5]}, index=exp_index) tm.assert_frame_equal(res, exp, check_index_type=True) - with tm.assert_raises_regex( - KeyError, - 'a list-indexer must only include values that are ' - 'in the categories'): + msg = ('a list-indexer must only include ' + 'values that are in the categories') + with pytest.raises(KeyError, match=msg): df.loc[['a', 'x']] # duplicated categories and codes @@ -387,10 +386,9 @@ def test_loc_listlike_dtypes(self): ]}, index=CategoricalIndex(['a', 'a', 'a', 'a', 'b'])) tm.assert_frame_equal(res, exp, check_index_type=True) - with tm.assert_raises_regex( - KeyError, - 'a list-indexer must only include values ' - 'that are in the categories'): + msg = ('a list-indexer must only include values ' + 'that are in the categories') + with pytest.raises(KeyError, match=msg): df.loc[['a', 'x']] # contains unused category @@ -417,10 +415,9 @@ def test_loc_listlike_dtypes(self): categories=list('abcde'))) tm.assert_frame_equal(res, exp, check_index_type=True) - with tm.assert_raises_regex( - KeyError, - 'a list-indexer must only include values ' - 'that are in the categories'): + msg = ('a list-indexer must only include values ' + 'that are in the categories') + with pytest.raises(KeyError, match=msg): df.loc[['a', 'x']] def test_get_indexer_array(self): diff --git a/pandas/tests/indexing/test_coercion.py b/pandas/tests/indexing/test_coercion.py index 65110d4955294..2bc3aefcf7eb1 100644 --- a/pandas/tests/indexing/test_coercion.py +++ b/pandas/tests/indexing/test_coercion.py @@ -374,14 +374,14 @@ def test_insert_index_datetimes(self, fill_val, exp_dtype): msg = "Passed item and index have different timezone" if fill_val.tz: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): obj.insert(1, pd.Timestamp('2012-01-01')) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): obj.insert(1, pd.Timestamp('2012-01-01', tz='Asia/Tokyo')) msg = "cannot insert DatetimeIndex with incompatible label" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): obj.insert(1, 1) pytest.xfail("ToDo: must coerce to object") @@ -397,12 +397,12 @@ def test_insert_index_timedelta64(self): # ToDo: must coerce to object msg = "cannot insert TimedeltaIndex with incompatible label" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): obj.insert(1, pd.Timestamp('2012-01-01')) # ToDo: must coerce to object msg = "cannot insert TimedeltaIndex with incompatible label" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): obj.insert(1, 1) @pytest.mark.parametrize("insert, coerced_val, coerced_dtype", [ @@ -603,7 +603,7 @@ def test_where_index_datetime(self): msg = ("Index\\(\\.\\.\\.\\) must be called with a collection " "of some kind") - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): obj.where(cond, fill_val) values = pd.Index(pd.date_range(fill_val, periods=4)) @@ -628,7 +628,7 @@ def test_where_index_datetimetz(self): msg = ("Index\\(\\.\\.\\.\\) must be called with a collection " "of some kind") - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): obj.where(cond, fill_val) values = pd.Index(pd.date_range(fill_val, periods=4)) diff --git a/pandas/tests/indexing/test_floats.py b/pandas/tests/indexing/test_floats.py index 0a55b3f67dd3f..de91b8f4a796c 100644 --- a/pandas/tests/indexing/test_floats.py +++ b/pandas/tests/indexing/test_floats.py @@ -50,11 +50,9 @@ def test_scalar_error(self): s = Series(np.arange(len(i)), index=i) - def f(): + msg = 'Cannot index by location index' + with pytest.raises(TypeError, match=msg): s.iloc[3.0] - tm.assert_raises_regex(TypeError, - 'Cannot index by location index', - f) def f(): s.iloc[3.0] = 0 diff --git a/pandas/tests/indexing/test_iloc.py b/pandas/tests/indexing/test_iloc.py index 6d0b516d8ebf0..53d07aeef304a 100644 --- a/pandas/tests/indexing/test_iloc.py +++ b/pandas/tests/indexing/test_iloc.py @@ -21,12 +21,10 @@ def test_iloc_exceeds_bounds(self): # GH6296 # iloc should allow indexers that exceed the bounds df = DataFrame(np.random.random_sample((20, 5)), columns=list('ABCDE')) - expected = df # lists of positions should raise IndexErrror! - with tm.assert_raises_regex(IndexError, - 'positional indexers ' - 'are out-of-bounds'): + msg = 'positional indexers are out-of-bounds' + with pytest.raises(IndexError, match=msg): df.iloc[:, [0, 1, 2, 3, 4, 5]] pytest.raises(IndexError, lambda: df.iloc[[1, 30]]) pytest.raises(IndexError, lambda: df.iloc[[1, -30]]) @@ -38,14 +36,14 @@ def test_iloc_exceeds_bounds(self): # still raise on a single indexer msg = 'single positional indexer is out-of-bounds' - with tm.assert_raises_regex(IndexError, msg): + with pytest.raises(IndexError, match=msg): df.iloc[30] pytest.raises(IndexError, lambda: df.iloc[-30]) # GH10779 # single positive/negative indexer exceeding Series bounds should raise # an IndexError - with tm.assert_raises_regex(IndexError, msg): + with pytest.raises(IndexError, match=msg): s.iloc[30] pytest.raises(IndexError, lambda: s.iloc[-30]) @@ -136,8 +134,8 @@ def test_iloc_getitem_invalid_scalar(self, dims): else: s = DataFrame(np.arange(100).reshape(10, 10)) - tm.assert_raises_regex(TypeError, 'Cannot index by location index', - lambda: s.iloc['a']) + with pytest.raises(TypeError, match='Cannot index by location index'): + s.iloc['a'] def test_iloc_array_not_mutating_negative_indices(self): diff --git a/pandas/tests/indexing/test_indexing.py b/pandas/tests/indexing/test_indexing.py index 3b95ba8e4b9d8..4236a80bc98f1 100644 --- a/pandas/tests/indexing/test_indexing.py +++ b/pandas/tests/indexing/test_indexing.py @@ -837,15 +837,14 @@ def assert_slices_equivalent(l_slc, i_slc): def test_slice_with_zero_step_raises(self): s = Series(np.arange(20), index=_mklbl('A', 20)) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: s[::0]) - tm.assert_raises_regex(ValueError, 'slice step cannot be zero', - lambda: s.loc[::0]) + with pytest.raises(ValueError, match='slice step cannot be zero'): + s[::0] + with pytest.raises(ValueError, match='slice step cannot be zero'): + s.loc[::0] with catch_warnings(record=True): simplefilter("ignore") - tm.assert_raises_regex(ValueError, - 'slice step cannot be zero', - lambda: s.ix[::0]) + with pytest.raises(ValueError, match='slice step cannot be zero'): + s.ix[::0] def test_indexing_assignment_dict_already_exists(self): df = DataFrame({'x': [1, 2, 6], @@ -1062,18 +1061,18 @@ def test_validate_indices_ok(): def test_validate_indices_low(): indices = np.asarray([0, -2]) - with tm.assert_raises_regex(ValueError, "'indices' contains"): + with pytest.raises(ValueError, match="'indices' contains"): validate_indices(indices, 2) def test_validate_indices_high(): indices = np.asarray([0, 1, 2]) - with tm.assert_raises_regex(IndexError, "indices are out"): + with pytest.raises(IndexError, match="indices are out"): validate_indices(indices, 2) def test_validate_indices_empty(): - with tm.assert_raises_regex(IndexError, "indices are out"): + with pytest.raises(IndexError, match="indices are out"): validate_indices(np.array([0, 1]), 0) diff --git a/pandas/tests/indexing/test_multiindex.py b/pandas/tests/indexing/test_multiindex.py index dcf148f199d52..ea17844a75033 100644 --- a/pandas/tests/indexing/test_multiindex.py +++ b/pandas/tests/indexing/test_multiindex.py @@ -308,9 +308,9 @@ def test_getitem_partial_int(self): tm.assert_frame_equal(result, expected) # missing item: - with tm.assert_raises_regex(KeyError, '1'): + with pytest.raises(KeyError, match='1'): df[1] - with tm.assert_raises_regex(KeyError, r"'\[1\] not in index'"): + with pytest.raises(KeyError, match=r"'\[1\] not in index'"): df[[1]] def test_loc_multiindex_indexer_none(self): @@ -851,10 +851,10 @@ def f(): assert df.index.lexsort_depth == 2 df = df.sort_index(level=1, axis=0) assert df.index.lexsort_depth == 0 - with tm.assert_raises_regex( - UnsortedIndexError, - 'MultiIndex slicing requires the index to be ' - r'lexsorted: slicing on levels \[1\], lexsort depth 0'): + + msg = ('MultiIndex slicing requires the index to be ' + r'lexsorted: slicing on levels \[1\], lexsort depth 0') + with pytest.raises(UnsortedIndexError, match=msg): df.loc[(slice(None), slice('bar')), :] # GH 16734: not sorted, but no real slicing diff --git a/pandas/tests/indexing/test_scalar.py b/pandas/tests/indexing/test_scalar.py index d45209fd277f1..fbbfdfefb67e6 100644 --- a/pandas/tests/indexing/test_scalar.py +++ b/pandas/tests/indexing/test_scalar.py @@ -151,8 +151,8 @@ def test_at_to_fail(self): df.columns = ['x', 'x', 'z'] # Check that we get the correct value in the KeyError - tm.assert_raises_regex(KeyError, r"\['y'\] not in index", - lambda: df[['x', 'y', 'z']]) + with pytest.raises(KeyError, match=r"\['y'\] not in index"): + df[['x', 'y', 'z']] def test_at_with_tz(self): # gh-15822 diff --git a/pandas/tests/internals/test_internals.py b/pandas/tests/internals/test_internals.py index b327b158adc24..97790920d46f7 100644 --- a/pandas/tests/internals/test_internals.py +++ b/pandas/tests/internals/test_internals.py @@ -1055,8 +1055,8 @@ def test_zero_step_raises(self): def test_unbounded_slice_raises(self): def assert_unbounded_slice_error(slc): - tm.assert_raises_regex(ValueError, "unbounded slice", - lambda: BlockPlacement(slc)) + with pytest.raises(ValueError, match="unbounded slice"): + BlockPlacement(slc) assert_unbounded_slice_error(slice(None, None)) assert_unbounded_slice_error(slice(10, None)) @@ -1247,7 +1247,7 @@ def test_binop_other(self, op, value, dtype): if (op, dtype) in invalid: with pytest.raises(TypeError): - result = op(s, e.value) + op(s, e.value) else: # FIXME: Since dispatching to Series, this test no longer # asserts anything meaningful @@ -1281,5 +1281,5 @@ def test_validate_ndim(): placement = slice(2) msg = r"Wrong number of dimensions. values.ndim != ndim \[1 != 2\]" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): make_block(values, placement, ndim=2) diff --git a/pandas/tests/io/formats/test_style.py b/pandas/tests/io/formats/test_style.py index e407573c9a462..6027fc08624df 100644 --- a/pandas/tests/io/formats/test_style.py +++ b/pandas/tests/io/formats/test_style.py @@ -1209,7 +1209,7 @@ def test_text_color_threshold(self, c_map, expected): def test_text_color_threshold_raises(self, text_color_threshold): df = pd.DataFrame([[1, 2], [2, 4]], columns=['A', 'B']) msg = "`text_color_threshold` must be a value from 0 to 1." - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.style.background_gradient( text_color_threshold=text_color_threshold)._compute() diff --git a/pandas/tests/io/formats/test_to_csv.py b/pandas/tests/io/formats/test_to_csv.py index 228373a7bf545..3792da4b29ef9 100644 --- a/pandas/tests/io/formats/test_to_csv.py +++ b/pandas/tests/io/formats/test_to_csv.py @@ -54,7 +54,7 @@ def test_to_csv_defualt_encoding(self): # Python 3 is uft-8. if pd.compat.PY2: # the encoding argument parameter should be utf-8 - with tm.assert_raises_regex(UnicodeEncodeError, 'ascii'): + with pytest.raises(UnicodeEncodeError, match='ascii'): df.to_csv(path) else: df.to_csv(path) @@ -85,7 +85,7 @@ def test_to_csv_quotechar(self): assert f.read() == expected with tm.ensure_clean('test.csv') as path: - with tm.assert_raises_regex(TypeError, 'quotechar'): + with pytest.raises(TypeError, match='quotechar'): df.to_csv(path, quoting=1, quotechar=None) def test_to_csv_doublequote(self): @@ -103,7 +103,7 @@ def test_to_csv_doublequote(self): from _csv import Error with tm.ensure_clean('test.csv') as path: - with tm.assert_raises_regex(Error, 'escapechar'): + with pytest.raises(Error, match='escapechar'): df.to_csv(path, doublequote=False) # no escapechar set def test_to_csv_escapechar(self): diff --git a/pandas/tests/io/formats/test_to_html.py b/pandas/tests/io/formats/test_to_html.py index 035b2d4c3347c..0416cf6da7912 100644 --- a/pandas/tests/io/formats/test_to_html.py +++ b/pandas/tests/io/formats/test_to_html.py @@ -1580,7 +1580,7 @@ def test_to_html_invalid_justify(self, justify): df = DataFrame() msg = "Invalid value for justify parameter" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df.to_html(justify=justify) def test_to_html_index(self): diff --git a/pandas/tests/io/json/test_compression.py b/pandas/tests/io/json/test_compression.py index b411744f7bac2..c50b6f68b8839 100644 --- a/pandas/tests/io/json/test_compression.py +++ b/pandas/tests/io/json/test_compression.py @@ -3,7 +3,7 @@ import pandas as pd import pandas.util.testing as tm import pandas.util._test_decorators as td -from pandas.util.testing import assert_frame_equal, assert_raises_regex +from pandas.util.testing import assert_frame_equal def test_compression_roundtrip(compression): @@ -81,15 +81,15 @@ def test_write_unsupported_compression_type(): df = pd.read_json('{"a": [1, 2, 3], "b": [4, 5, 6]}') with tm.ensure_clean() as path: msg = "Unrecognized compression type: unsupported" - assert_raises_regex(ValueError, msg, df.to_json, - path, compression="unsupported") + with pytest.raises(ValueError, match=msg): + df.to_json(path, compression="unsupported") def test_read_unsupported_compression_type(): with tm.ensure_clean() as path: msg = "Unrecognized compression type: unsupported" - assert_raises_regex(ValueError, msg, pd.read_json, - path, compression="unsupported") + with pytest.raises(ValueError, match=msg): + pd.read_json(path, compression="unsupported") @pytest.mark.parametrize("to_infer", [True, False]) diff --git a/pandas/tests/io/json/test_json_table_schema.py b/pandas/tests/io/json/test_json_table_schema.py index 829953c144caa..0b4ff2c34297a 100644 --- a/pandas/tests/io/json/test_json_table_schema.py +++ b/pandas/tests/io/json/test_json_table_schema.py @@ -409,8 +409,8 @@ def test_convert_json_field_to_pandas_type(self, inp, exp): @pytest.mark.parametrize("inp", ["geopoint", "geojson", "fake_type"]) def test_convert_json_field_to_pandas_type_raises(self, inp): field = {'type': inp} - with tm.assert_raises_regex(ValueError, "Unsupported or invalid field " - "type: {}".format(inp)): + with pytest.raises(ValueError, match=("Unsupported or invalid field " + "type: {}".format(inp))): convert_json_field_to_pandas_type(field) def test_categorical(self): @@ -480,7 +480,7 @@ def test_timestamp_in_columns(self): ['a'], [1]], names=["A", "a"])) ]) def test_overlapping_names(self, case): - with tm.assert_raises_regex(ValueError, 'Overlapping'): + with pytest.raises(ValueError, match='Overlapping'): case.to_json(orient='table') def test_mi_falsey_name(self): @@ -526,7 +526,7 @@ def test_read_json_table_orient(self, index_nm, vals, recwarn): def test_read_json_table_orient_raises(self, index_nm, vals, recwarn): df = DataFrame(vals, index=pd.Index(range(4), name=index_nm)) out = df.to_json(orient="table") - with tm.assert_raises_regex(NotImplementedError, 'can not yet read '): + with pytest.raises(NotImplementedError, match='can not yet read '): pd.read_json(out, orient="table") def test_comprehensive(self): diff --git a/pandas/tests/io/json/test_pandas.py b/pandas/tests/io/json/test_pandas.py index 04f0220839523..d047970ce2f08 100644 --- a/pandas/tests/io/json/test_pandas.py +++ b/pandas/tests/io/json/test_pandas.py @@ -344,8 +344,7 @@ def test_frame_from_json_bad_data(self): json = StringIO('{"badkey":["A","B"],' '"index":["2","3"],' '"data":[[1.0,"1"],[2.0,"2"],[null,"3"]]}') - with tm.assert_raises_regex(ValueError, - r"unexpected key\(s\): badkey"): + with pytest.raises(ValueError, match=r"unexpected key\(s\): badkey"): read_json(json, orient="split") def test_frame_from_json_nones(self): @@ -839,7 +838,7 @@ def test_misc_example(self): DataFrame\\.index values are different \\(100\\.0 %\\) \\[left\\]: Index\\(\\[u?'a', u?'b'\\], dtype='object'\\) \\[right\\]: RangeIndex\\(start=0, stop=2, step=1\\)""" - with tm.assert_raises_regex(AssertionError, error_msg): + with pytest.raises(AssertionError, match=error_msg): assert_frame_equal(result, expected, check_index_type=False) result = read_json('[{"a": 1, "b": 2}, {"b":2, "a" :1}]') @@ -1122,9 +1121,7 @@ def test_to_jsonl(self): def test_latin_encoding(self): if compat.PY2: - tm.assert_raises_regex( - TypeError, r'\[unicode\] is not implemented as a table column') - return + pytest.skip("[unicode] is not implemented as a table column") # GH 13774 pytest.skip("encoding not implemented in .to_json(), " @@ -1229,7 +1226,7 @@ def test_index_false_error_to_json(self, orient): df = pd.DataFrame([[1, 2], [4, 5]], columns=['a', 'b']) - with tm.assert_raises_regex(ValueError, "'index=False' is only " - "valid when 'orient' is " - "'split' or 'table'"): + msg = ("'index=False' is only valid when " + "'orient' is 'split' or 'table'") + with pytest.raises(ValueError, match=msg): df.to_json(orient=orient, index=False) diff --git a/pandas/tests/io/json/test_readlines.py b/pandas/tests/io/json/test_readlines.py index 3f61f702b7c9c..25750f4fd23b5 100644 --- a/pandas/tests/io/json/test_readlines.py +++ b/pandas/tests/io/json/test_readlines.py @@ -81,7 +81,7 @@ def test_readjson_chunks(lines_json_df, chunksize): def test_readjson_chunksize_requires_lines(lines_json_df): msg = "chunksize can only be passed if lines=True" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.read_json(StringIO(lines_json_df), lines=False, chunksize=2) @@ -138,7 +138,7 @@ def test_readjson_chunks_closes(chunksize): def test_readjson_invalid_chunksize(lines_json_df, chunksize): msg = r"'chunksize' must be an integer >=1" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.read_json(StringIO(lines_json_df), lines=True, chunksize=chunksize) diff --git a/pandas/tests/io/json/test_ujson.py b/pandas/tests/io/json/test_ujson.py index 6706a29e78ae8..4ad4f71791079 100644 --- a/pandas/tests/io/json/test_ujson.py +++ b/pandas/tests/io/json/test_ujson.py @@ -707,7 +707,7 @@ def my_handler(_): def my_handler_raises(_): raise TypeError("I raise for anything") - with tm.assert_raises_regex(TypeError, "I raise for anything"): + with pytest.raises(TypeError, match="I raise for anything"): ujson.encode(_TestObject("foo"), default_handler=my_handler_raises) def my_int_handler(_): diff --git a/pandas/tests/io/msgpack/test_except.py b/pandas/tests/io/msgpack/test_except.py index 5a803c5eba34b..8e8d43a16eee9 100644 --- a/pandas/tests/io/msgpack/test_except.py +++ b/pandas/tests/io/msgpack/test_except.py @@ -4,7 +4,6 @@ from pandas.io.msgpack import packb, unpackb import pytest -import pandas.util.testing as tm class DummyException(Exception): @@ -15,7 +14,7 @@ class TestExceptions(object): def test_raise_on_find_unsupported_value(self): msg = "can\'t serialize datetime" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): packb(datetime.now()) def test_raise_from_object_hook(self): @@ -35,5 +34,5 @@ def hook(_): def test_invalid_value(self): msg = "Unpack failed: error" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): unpackb(b"\xd9\x97#DL_") diff --git a/pandas/tests/io/msgpack/test_limits.py b/pandas/tests/io/msgpack/test_limits.py index e4abd4ddb8d13..2d759d6117f2a 100644 --- a/pandas/tests/io/msgpack/test_limits.py +++ b/pandas/tests/io/msgpack/test_limits.py @@ -4,7 +4,6 @@ from pandas.io.msgpack import packb, unpackb, Packer, Unpacker, ExtType import pytest -import pandas.util.testing as tm class TestLimits(object): @@ -41,7 +40,7 @@ def test_max_str_len(self): unpacker.feed(packed) msg = "3 exceeds max_str_len" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): unpacker.unpack() def test_max_bin_len(self): @@ -56,7 +55,7 @@ def test_max_bin_len(self): unpacker.feed(packed) msg = "3 exceeds max_bin_len" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): unpacker.unpack() def test_max_array_len(self): @@ -71,7 +70,7 @@ def test_max_array_len(self): unpacker.feed(packed) msg = "3 exceeds max_array_len" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): unpacker.unpack() def test_max_map_len(self): @@ -86,7 +85,7 @@ def test_max_map_len(self): unpacker.feed(packed) msg = "3 exceeds max_map_len" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): unpacker.unpack() def test_max_ext_len(self): @@ -101,5 +100,5 @@ def test_max_ext_len(self): unpacker.feed(packed) msg = "4 exceeds max_ext_len" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): unpacker.unpack() diff --git a/pandas/tests/io/msgpack/test_sequnpack.py b/pandas/tests/io/msgpack/test_sequnpack.py index dc6fc5ef916b4..be0a23f60f18a 100644 --- a/pandas/tests/io/msgpack/test_sequnpack.py +++ b/pandas/tests/io/msgpack/test_sequnpack.py @@ -5,7 +5,6 @@ from pandas.io.msgpack import OutOfData import pytest -import pandas.util.testing as tm class TestPack(object): @@ -16,7 +15,7 @@ def test_partial_data(self): for data in [b"\xa5", b"h", b"a", b"l", b"l"]: unpacker.feed(data) - with tm.assert_raises_regex(StopIteration, msg): + with pytest.raises(StopIteration, match=msg): next(iter(unpacker)) unpacker.feed(b"o") diff --git a/pandas/tests/io/parser/c_parser_only.py b/pandas/tests/io/parser/c_parser_only.py index edcfe1c0768cd..88db1080642c5 100644 --- a/pandas/tests/io/parser/c_parser_only.py +++ b/pandas/tests/io/parser/c_parser_only.py @@ -7,6 +7,7 @@ further arguments when parsing. """ +from io import TextIOWrapper import os import sys import tarfile @@ -14,7 +15,7 @@ import numpy as np import pytest -from pandas.compat import StringIO, lrange, range +from pandas.compat import PY3, BytesIO, StringIO, lrange, range import pandas.util._test_decorators as td import pandas as pd @@ -34,9 +35,8 @@ def test_buffer_overflow(self, malf): # see gh-9205: test certain malformed input files that cause # buffer overflows in tokenizer.c cperr = 'Buffer overflow caught - possible malformed input file.' - with pytest.raises(pd.errors.ParserError) as excinfo: + with pytest.raises(pd.errors.ParserError, match=cperr): self.read_table(StringIO(malf)) - assert cperr in str(excinfo.value) def test_buffer_rd_bytes(self): # see gh-12098: src->buffer in the C parser can be freed twice leading @@ -99,7 +99,7 @@ def test_dtype_and_names_error(self): 3.0 3 """ # fallback casting, but not castable - with tm.assert_raises_regex(ValueError, 'cannot safely convert'): + with pytest.raises(ValueError, match='cannot safely convert'): self.read_csv(StringIO(data), sep=r'\s+', header=None, names=['a', 'b'], dtype={'a': np.int32}) @@ -455,6 +455,14 @@ def __next__(self): tm.assert_frame_equal(result, expected) + def test_buffer_rd_bytes_bad_unicode(self): + # see gh-22748 + t = BytesIO(b"\xB0") + if PY3: + t = TextIOWrapper(t, encoding='ascii', errors='surrogateescape') + with pytest.raises(UnicodeError): + self.read_csv(t, encoding='UTF-8') + @pytest.mark.parametrize("tar_suffix", [".tar", ".tar.gz"]) def test_read_tarfile(self, tar_suffix): # see gh-16530 diff --git a/pandas/tests/io/parser/common.py b/pandas/tests/io/parser/common.py index da8118ef3e123..18690a18f7cb3 100644 --- a/pandas/tests/io/parser/common.py +++ b/pandas/tests/io/parser/common.py @@ -4,7 +4,6 @@ from collections import OrderedDict import csv from datetime import datetime -from io import TextIOWrapper import os import platform import re @@ -45,7 +44,7 @@ def test_empty_decimal_marker(self): """ # Parsers support only length-1 decimals msg = 'Only length-1 decimal markers supported' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), decimal='') def test_bad_stream_exception(self): @@ -67,7 +66,7 @@ def test_bad_stream_exception(self): handle, utf8.encode, utf8.decode, codec.streamreader, codec.streamwriter) as stream: - with tm.assert_raises_regex(UnicodeDecodeError, msg): + with pytest.raises(UnicodeDecodeError, match=msg): self.read_csv(stream) def test_read_csv(self): @@ -128,7 +127,7 @@ def test_malformed(self): 2,3,4 """ msg = 'Expected 3 fields in line 4, saw 5' - with tm.assert_raises_regex(Exception, msg): + with pytest.raises(Exception, match=msg): self.read_table(StringIO(data), sep=',', header=1, comment='#') @@ -142,7 +141,7 @@ def test_malformed(self): 2,3,4 """ msg = 'Expected 3 fields in line 6, saw 5' - with tm.assert_raises_regex(Exception, msg): + with pytest.raises(Exception, match=msg): it = self.read_table(StringIO(data), sep=',', header=1, comment='#', iterator=True, chunksize=1, @@ -159,7 +158,7 @@ def test_malformed(self): 2,3,4 """ msg = 'Expected 3 fields in line 6, saw 5' - with tm.assert_raises_regex(Exception, msg): + with pytest.raises(Exception, match=msg): it = self.read_table(StringIO(data), sep=',', header=1, comment='#', iterator=True, chunksize=1, skiprows=[2]) @@ -175,7 +174,7 @@ def test_malformed(self): 2,3,4 """ msg = 'Expected 3 fields in line 6, saw 5' - with tm.assert_raises_regex(Exception, msg): + with pytest.raises(Exception, match=msg): it = self.read_table(StringIO(data), sep=',', header=1, comment='#', iterator=True, chunksize=1, skiprows=[2]) @@ -192,7 +191,7 @@ def test_malformed(self): footer """ msg = 'Expected 3 fields in line 4, saw 5' - with tm.assert_raises_regex(Exception, msg): + with pytest.raises(Exception, match=msg): self.read_table(StringIO(data), sep=',', header=1, comment='#', skipfooter=1) @@ -367,13 +366,13 @@ def test_read_nrows(self): msg = r"'nrows' must be an integer >=0" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(self.data1), nrows=1.2) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(self.data1), nrows='foo') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(self.data1), nrows=-1) def test_read_chunksize(self): @@ -389,13 +388,13 @@ def test_read_chunksize(self): # with invalid chunksize value: msg = r"'chunksize' must be an integer >=1" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(self.data1), chunksize=1.3) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(self.data1), chunksize='foo') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(self.data1), chunksize=0) def test_read_chunksize_and_nrows(self): @@ -1081,7 +1080,7 @@ def test_uneven_lines_with_usecols(self): # make sure that an error is still thrown # when the 'usecols' parameter is not provided msg = r"Expected \d+ fields in line \d+, saw \d+" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): df = self.read_csv(StringIO(csv)) expected = DataFrame({ @@ -1107,10 +1106,10 @@ def test_read_empty_with_usecols(self): # throws the correct error, with or without usecols errmsg = "No columns to parse from file" - with tm.assert_raises_regex(EmptyDataError, errmsg): + with pytest.raises(EmptyDataError, match=errmsg): self.read_csv(StringIO('')) - with tm.assert_raises_regex(EmptyDataError, errmsg): + with pytest.raises(EmptyDataError, match=errmsg): self.read_csv(StringIO(''), usecols=usecols) expected = DataFrame(columns=usecols, index=[0], dtype=np.float64) @@ -1149,8 +1148,7 @@ def test_trailing_spaces(self): def test_raise_on_sep_with_delim_whitespace(self): # see gh-6607 data = 'a b c\n1 2 3' - with tm.assert_raises_regex(ValueError, - 'you can only specify one'): + with pytest.raises(ValueError, match='you can only specify one'): self.read_table(StringIO(data), sep=r'\s', delim_whitespace=True) def test_single_char_leading_whitespace(self): @@ -1395,7 +1393,7 @@ def test_null_byte_char(self): tm.assert_frame_equal(out, expected) else: msg = "NULL byte detected" - with tm.assert_raises_regex(ParserError, msg): + with pytest.raises(ParserError, match=msg): self.read_csv(StringIO(data), names=cols) def test_utf8_bom(self): @@ -1537,7 +1535,7 @@ class InvalidBuffer(object): msg = "Invalid file path or buffer object type" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(InvalidBuffer()) # gh-16135: we want to ensure that "tell" and "seek" @@ -1560,7 +1558,7 @@ def seek(self, pos, whence=0): tm.assert_frame_equal(result, expected) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(mock.Mock()) @tm.capture_stderr @@ -1595,11 +1593,3 @@ def test_skip_bad_lines(self): val = sys.stderr.getvalue() assert 'Skipping line 3' in val assert 'Skipping line 5' in val - - def test_buffer_rd_bytes_bad_unicode(self): - # Regression test for #22748 - t = BytesIO(b"\xB0") - if PY3: - t = TextIOWrapper(t, encoding='ascii', errors='surrogateescape') - with pytest.raises(UnicodeError): - pd.read_csv(t, encoding='UTF-8') diff --git a/pandas/tests/io/parser/compression.py b/pandas/tests/io/parser/compression.py index 2d32e383c7fee..e5ada41c06762 100644 --- a/pandas/tests/io/parser/compression.py +++ b/pandas/tests/io/parser/compression.py @@ -52,19 +52,18 @@ def test_zip(self): for file_name in inner_file_names: tmp.writestr(file_name, data) - tm.assert_raises_regex(ValueError, 'Multiple files', - self.read_csv, path, compression='zip') + with pytest.raises(ValueError, match='Multiple files'): + self.read_csv(path, compression='zip') - tm.assert_raises_regex(ValueError, 'Multiple files', - self.read_csv, path, - compression='infer') + with pytest.raises(ValueError, match='Multiple files'): + self.read_csv(path, compression='infer') with tm.ensure_clean() as path: - with zipfile.ZipFile(path, mode='w') as tmp: + with zipfile.ZipFile(path, mode='w'): pass - tm.assert_raises_regex(ValueError, 'Zero files', - self.read_csv, path, compression='zip') + with pytest.raises(ValueError, match='Zero files'): + self.read_csv(path, compression='zip') with tm.ensure_clean() as path: with open(path, 'wb') as f: @@ -133,5 +132,5 @@ def test_read_csv_compressed_utf16_example(self, datapath): def test_invalid_compression(self): msg = 'Unrecognized compression type: sfark' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv('test_file.zip', compression='sfark') diff --git a/pandas/tests/io/parser/converters.py b/pandas/tests/io/parser/converters.py index f17ad019469ab..f8a498172eaf9 100644 --- a/pandas/tests/io/parser/converters.py +++ b/pandas/tests/io/parser/converters.py @@ -24,7 +24,7 @@ def test_converters_type_must_be_dict(self): data = """index,A,B,C,D foo,2,3,4,5 """ - with tm.assert_raises_regex(TypeError, 'Type converters.+'): + with pytest.raises(TypeError, match='Type converters.+'): self.read_csv(StringIO(data), converters=0) def test_converters(self): diff --git a/pandas/tests/io/parser/dialect.py b/pandas/tests/io/parser/dialect.py index 480ce9ef361d0..aa89f3167788a 100644 --- a/pandas/tests/io/parser/dialect.py +++ b/pandas/tests/io/parser/dialect.py @@ -7,6 +7,8 @@ import csv +import pytest + from pandas.compat import StringIO from pandas.errors import ParserWarning @@ -61,7 +63,7 @@ class InvalidDialect(object): data = 'a\n1' msg = 'Invalid dialect' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), dialect=InvalidDialect) def test_dialect_conflict(self): diff --git a/pandas/tests/io/parser/header.py b/pandas/tests/io/parser/header.py index 3a6db0fafa7c6..fe7a16e6447b3 100644 --- a/pandas/tests/io/parser/header.py +++ b/pandas/tests/io/parser/header.py @@ -21,7 +21,7 @@ class HeaderTests(object): def test_read_with_bad_header(self): errmsg = r"but only \d+ lines in file" - with tm.assert_raises_regex(ValueError, errmsg): + with pytest.raises(ValueError, match=errmsg): s = StringIO(',,') self.read_csv(s, header=[10]) @@ -322,9 +322,9 @@ def test_non_int_header(self): # GH 16338 msg = 'header must be integer or list of integers' data = """1,2\n3,4""" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), sep=',', header=['a', 'b']) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), sep=',', header='string_header') def test_singleton_header(self): diff --git a/pandas/tests/io/parser/parse_dates.py b/pandas/tests/io/parser/parse_dates.py index 4c2c5b754f9bb..751fb01e32a6a 100644 --- a/pandas/tests/io/parser/parse_dates.py +++ b/pandas/tests/io/parser/parse_dates.py @@ -429,11 +429,10 @@ def test_read_with_parse_dates_scalar_non_bool(self): data = """A,B,C 1,2,2003-11-1""" - tm.assert_raises_regex(TypeError, errmsg, self.read_csv, - StringIO(data), parse_dates="C") - tm.assert_raises_regex(TypeError, errmsg, self.read_csv, - StringIO(data), parse_dates="C", - index_col="C") + with pytest.raises(TypeError, match=errmsg): + self.read_csv(StringIO(data), parse_dates="C") + with pytest.raises(TypeError, match=errmsg): + self.read_csv(StringIO(data), parse_dates="C", index_col="C") def test_read_with_parse_dates_invalid_type(self): errmsg = ("Only booleans, lists, and " @@ -442,13 +441,12 @@ def test_read_with_parse_dates_invalid_type(self): data = """A,B,C 1,2,2003-11-1""" - tm.assert_raises_regex(TypeError, errmsg, self.read_csv, - StringIO(data), parse_dates=(1,)) - tm.assert_raises_regex(TypeError, errmsg, - self.read_csv, StringIO(data), - parse_dates=np.array([4, 5])) - tm.assert_raises_regex(TypeError, errmsg, self.read_csv, - StringIO(data), parse_dates={1, 3, 3}) + with pytest.raises(TypeError, match=errmsg): + self.read_csv(StringIO(data), parse_dates=(1,)) + with pytest.raises(TypeError, match=errmsg): + self.read_csv(StringIO(data), parse_dates=np.array([4, 5])) + with pytest.raises(TypeError, match=errmsg): + self.read_csv(StringIO(data), parse_dates={1, 3, 3}) def test_parse_dates_empty_string(self): # see gh-2263 diff --git a/pandas/tests/io/parser/python_parser_only.py b/pandas/tests/io/parser/python_parser_only.py index c3c87bca24a47..590736f720e67 100644 --- a/pandas/tests/io/parser/python_parser_only.py +++ b/pandas/tests/io/parser/python_parser_only.py @@ -36,17 +36,17 @@ def test_invalid_skipfooter(self): # see gh-15925 (comment) msg = "skipfooter must be an integer" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(text), skipfooter="foo") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(text), skipfooter=1.5) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(text), skipfooter=True) msg = "skipfooter cannot be negative" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(text), skipfooter=-1) def test_sniff_delimiter(self): @@ -220,13 +220,13 @@ def test_multi_char_sep_quotes(self): data = 'a,,b\n1,,a\n2,,"2,,b"' msg = 'ignored when a multi-char delimiter is used' - with tm.assert_raises_regex(ParserError, msg): + with pytest.raises(ParserError, match=msg): self.read_csv(StringIO(data), sep=',,') # We expect no match, so there should be an assertion # error out of the inner context manager. with pytest.raises(AssertionError): - with tm.assert_raises_regex(ParserError, msg): + with pytest.raises(ParserError, match=msg): self.read_csv(StringIO(data), sep=',,', quoting=csv.QUOTE_NONE) @@ -255,11 +255,11 @@ def test_skipfooter_bad_row(self): for data in ('a\n1\n"b"a', 'a,b,c\ncat,foo,bar\ndog,foo,"baz'): - with tm.assert_raises_regex(ParserError, msg): + with pytest.raises(ParserError, match=msg): self.read_csv(StringIO(data), skipfooter=1) # We expect no match, so there should be an assertion # error out of the inner context manager. with pytest.raises(AssertionError): - with tm.assert_raises_regex(ParserError, msg): + with pytest.raises(ParserError, match=msg): self.read_csv(StringIO(data)) diff --git a/pandas/tests/io/parser/quoting.py b/pandas/tests/io/parser/quoting.py index 270a5430e6da4..a8a1cc5451f37 100644 --- a/pandas/tests/io/parser/quoting.py +++ b/pandas/tests/io/parser/quoting.py @@ -7,6 +7,8 @@ import csv +import pytest + from pandas.compat import PY3, StringIO, u from pandas.errors import ParserError @@ -22,29 +24,29 @@ def test_bad_quote_char(self): # Python 2.x: "...must be an 1-character..." # Python 3.x: "...must be a 1-character..." msg = '"quotechar" must be a(n)? 1-character string' - tm.assert_raises_regex(TypeError, msg, self.read_csv, - StringIO(data), quotechar='foo') + with pytest.raises(TypeError, match=msg): + self.read_csv(StringIO(data), quotechar='foo') msg = 'quotechar must be set if quoting enabled' - tm.assert_raises_regex(TypeError, msg, self.read_csv, - StringIO(data), quotechar=None, - quoting=csv.QUOTE_MINIMAL) + with pytest.raises(TypeError, match=msg): + self.read_csv(StringIO(data), quotechar=None, + quoting=csv.QUOTE_MINIMAL) msg = '"quotechar" must be string, not int' - tm.assert_raises_regex(TypeError, msg, self.read_csv, - StringIO(data), quotechar=2) + with pytest.raises(TypeError, match=msg): + self.read_csv(StringIO(data), quotechar=2) def test_bad_quoting(self): data = '1,2,3' msg = '"quoting" must be an integer' - tm.assert_raises_regex(TypeError, msg, self.read_csv, - StringIO(data), quoting='foo') + with pytest.raises(TypeError, match=msg): + self.read_csv(StringIO(data), quoting='foo') # quoting must in the range [0, 3] msg = 'bad "quoting" value' - tm.assert_raises_regex(TypeError, msg, self.read_csv, - StringIO(data), quoting=5) + with pytest.raises(TypeError, match=msg): + self.read_csv(StringIO(data), quoting=5) def test_quote_char_basic(self): data = 'a,b,c\n1,2,"cat"' @@ -70,13 +72,13 @@ def test_null_quote_char(self): # sanity checks msg = 'quotechar must be set if quoting enabled' - tm.assert_raises_regex(TypeError, msg, self.read_csv, - StringIO(data), quotechar=None, - quoting=csv.QUOTE_MINIMAL) + with pytest.raises(TypeError, match=msg): + self.read_csv(StringIO(data), quotechar=None, + quoting=csv.QUOTE_MINIMAL) - tm.assert_raises_regex(TypeError, msg, self.read_csv, - StringIO(data), quotechar='', - quoting=csv.QUOTE_MINIMAL) + with pytest.raises(TypeError, match=msg): + self.read_csv(StringIO(data), quotechar='', + quoting=csv.QUOTE_MINIMAL) # no errors should be raised if quoting is None expected = DataFrame([[1, 2, 3]], @@ -163,7 +165,7 @@ def test_unbalanced_quoting(self): else: regex = "unexpected end of data" - with tm.assert_raises_regex(ParserError, regex): + with pytest.raises(ParserError, match=regex): self.read_csv(StringIO(data)) expected = DataFrame([[1, 2, 3]], columns=["a", "b", "c"]) diff --git a/pandas/tests/io/parser/skiprows.py b/pandas/tests/io/parser/skiprows.py index 5d1b3b207a240..a051ee9b22d10 100644 --- a/pandas/tests/io/parser/skiprows.py +++ b/pandas/tests/io/parser/skiprows.py @@ -8,6 +8,7 @@ from datetime import datetime import numpy as np +import pytest from pandas.compat import StringIO, lrange, range from pandas.errors import EmptyDataError @@ -215,11 +216,11 @@ def test_skiprows_callable(self): skiprows = lambda x: True msg = "No columns to parse from file" - with tm.assert_raises_regex(EmptyDataError, msg): + with pytest.raises(EmptyDataError, match=msg): self.read_csv(StringIO(data), skiprows=skiprows) # This is a bad callable and should raise. msg = "by zero" skiprows = lambda x: 1 / 0 - with tm.assert_raises_regex(ZeroDivisionError, msg): + with pytest.raises(ZeroDivisionError, match=msg): self.read_csv(StringIO(data), skiprows=skiprows) diff --git a/pandas/tests/io/parser/test_read_fwf.py b/pandas/tests/io/parser/test_read_fwf.py index f7846f7824ba5..bb64a85590c8b 100644 --- a/pandas/tests/io/parser/test_read_fwf.py +++ b/pandas/tests/io/parser/test_read_fwf.py @@ -69,11 +69,10 @@ def test_fwf(self): StringIO(data3), colspecs=colspecs, delimiter='~', header=None) tm.assert_frame_equal(df, expected) - with tm.assert_raises_regex(ValueError, - "must specify only one of"): + with pytest.raises(ValueError, match="must specify only one of"): read_fwf(StringIO(data3), colspecs=colspecs, widths=[6, 10, 10, 7]) - with tm.assert_raises_regex(ValueError, "Must specify either"): + with pytest.raises(ValueError, match="Must specify either"): read_fwf(StringIO(data3), colspecs=None, widths=None) def test_BytesIO_input(self): @@ -96,9 +95,8 @@ def test_fwf_colspecs_is_list_or_tuple(self): bar2,12,13,14,15 """ - with tm.assert_raises_regex(TypeError, - 'column specifications must ' - 'be a list or tuple.+'): + msg = 'column specifications must be a list or tuple.+' + with pytest.raises(TypeError, match=msg): pd.io.parsers.FixedWidthReader(StringIO(data), {'a': 1}, ',', '#') @@ -112,9 +110,8 @@ def test_fwf_colspecs_is_list_or_tuple_of_two_element_tuples(self): bar2,12,13,14,15 """ - with tm.assert_raises_regex(TypeError, - 'Each column specification ' - 'must be.+'): + msg = 'Each column specification must be.+' + with pytest.raises(TypeError, match=msg): read_fwf(StringIO(data), [('a', 1)]) def test_fwf_colspecs_None(self): diff --git a/pandas/tests/io/parser/test_unsupported.py b/pandas/tests/io/parser/test_unsupported.py index 4437b0db9054e..8c6dbd64c785d 100644 --- a/pandas/tests/io/parser/test_unsupported.py +++ b/pandas/tests/io/parser/test_unsupported.py @@ -33,7 +33,7 @@ def test_mangle_dupe_cols_false(self): msg = 'is not supported' for engine in ('c', 'python'): - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), engine=engine, mangle_dupe_cols=False) @@ -43,14 +43,14 @@ def test_c_engine(self): msg = 'does not support' # specify C engine with unsupported options (raise) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), engine='c', sep=None, delim_whitespace=False) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), engine='c', sep=r'\s') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), engine='c', sep='\t', quotechar=chr(128)) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), engine='c', skipfooter=1) # specify C-unsupported options without python-unsupported options @@ -70,9 +70,9 @@ def test_c_engine(self): x q 30 3 -0.6662 -0.5243 -0.3580 0.89145 2.5838""" msg = 'Error tokenizing data' - with tm.assert_raises_regex(ParserError, msg): + with pytest.raises(ParserError, match=msg): read_csv(StringIO(text), sep='\\s+') - with tm.assert_raises_regex(ParserError, msg): + with pytest.raises(ParserError, match=msg): read_csv(StringIO(text), engine='c', sep='\\s+') msg = "Only length-1 thousands markers supported" @@ -80,14 +80,14 @@ def test_c_engine(self): 1|2,334|5 10|13|10. """ - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), thousands=',,') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), thousands='') msg = "Only length-1 line terminators supported" data = 'a,b,c~~1,2,3~~4,5,6' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), lineterminator='~~') def test_python_engine(self, python_engine): @@ -104,7 +104,7 @@ def test_python_engine(self, python_engine): 'with the %r engine' % (default, python_engine)) kwargs = {default: object()} - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(StringIO(data), engine=python_engine, **kwargs) def test_python_engine_file_no_next(self, python_engine): @@ -122,7 +122,7 @@ def read(self): data = "a\n1" msg = "The 'python' engine cannot iterate" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_csv(NoNextBuffer(data), engine=python_engine) diff --git a/pandas/tests/io/parser/usecols.py b/pandas/tests/io/parser/usecols.py index 82d45b163d16a..e9bb72be124d3 100644 --- a/pandas/tests/io/parser/usecols.py +++ b/pandas/tests/io/parser/usecols.py @@ -31,7 +31,7 @@ def test_raise_on_mixed_dtype_usecols(self): usecols = [0, 'b', 2] - with tm.assert_raises_regex(ValueError, self.msg_validate_usecols_arg): + with pytest.raises(ValueError, match=self.msg_validate_usecols_arg): self.read_csv(StringIO(data), usecols=usecols) def test_usecols(self): @@ -97,7 +97,7 @@ def test_usecols_single_string(self): usecols = 'foo' - with tm.assert_raises_regex(ValueError, self.msg_validate_usecols_arg): + with pytest.raises(ValueError, match=self.msg_validate_usecols_arg): self.read_csv(StringIO(data), usecols=usecols) def test_usecols_index_col_False(self): @@ -363,10 +363,10 @@ def test_usecols_with_mixed_encoding_strings(self): 3.568935038,7,False,a ''' - with tm.assert_raises_regex(ValueError, self.msg_validate_usecols_arg): + with pytest.raises(ValueError, match=self.msg_validate_usecols_arg): self.read_csv(StringIO(s), usecols=[u'AAA', b'BBB']) - with tm.assert_raises_regex(ValueError, self.msg_validate_usecols_arg): + with pytest.raises(ValueError, match=self.msg_validate_usecols_arg): self.read_csv(StringIO(s), usecols=[b'AAA', u'BBB']) def test_usecols_with_multibyte_characters(self): @@ -499,21 +499,21 @@ def test_raise_on_usecols_names_mismatch(self): tm.assert_frame_equal(df, expected) usecols = ['a', 'b', 'c', 'f'] - with tm.assert_raises_regex(ValueError, - self.msg_validate_usecols_names.format( - r"\['f'\]")): + msg = self.msg_validate_usecols_names.format(r"\['f'\]") + + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), usecols=usecols) usecols = ['a', 'b', 'f'] - with tm.assert_raises_regex(ValueError, - self.msg_validate_usecols_names.format( - r"\['f'\]")): + msg = self.msg_validate_usecols_names.format(r"\['f'\]") + + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), usecols=usecols) usecols = ['a', 'b', 'f', 'g'] - with tm.assert_raises_regex(ValueError, - self.msg_validate_usecols_names.format( - r"\[('f', 'g'|'g', 'f')\]")): + msg = self.msg_validate_usecols_names.format( + r"\[('f', 'g'|'g', 'f')\]") + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), usecols=usecols) names = ['A', 'B', 'C', 'D'] @@ -537,13 +537,14 @@ def test_raise_on_usecols_names_mismatch(self): # tm.assert_frame_equal(df, expected) usecols = ['A', 'B', 'C', 'f'] - with tm.assert_raises_regex(ValueError, - self.msg_validate_usecols_names.format( - r"\['f'\]")): + msg = self.msg_validate_usecols_names.format(r"\['f'\]") + + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), header=0, names=names, usecols=usecols) + usecols = ['A', 'B', 'f'] - with tm.assert_raises_regex(ValueError, - self.msg_validate_usecols_names.format( - r"\['f'\]")): + msg = self.msg_validate_usecols_names.format(r"\['f'\]") + + with pytest.raises(ValueError, match=msg): self.read_csv(StringIO(data), names=names, usecols=usecols) diff --git a/pandas/tests/io/sas/test_sas.py b/pandas/tests/io/sas/test_sas.py index b85f6b6bbd5ce..016dc56b4d800 100644 --- a/pandas/tests/io/sas/test_sas.py +++ b/pandas/tests/io/sas/test_sas.py @@ -1,8 +1,8 @@ +import pytest + from pandas.compat import StringIO from pandas import read_sas -import pandas.util.testing as tm - class TestSas(object): @@ -12,5 +12,5 @@ def test_sas_buffer_format(self): msg = ("If this is a buffer object rather than a string " "name, you must specify a format string") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_sas(b) diff --git a/pandas/tests/io/test_common.py b/pandas/tests/io/test_common.py index 73e29e6eb9a6a..2f2b792588a92 100644 --- a/pandas/tests/io/test_common.py +++ b/pandas/tests/io/test_common.py @@ -269,14 +269,15 @@ def test_constructor_bad_file(self, mmap_file): msg = "[Errno 22]" err = mmap.error - tm.assert_raises_regex(err, msg, icom.MMapWrapper, non_file) + with pytest.raises(err, match=msg): + icom.MMapWrapper(non_file) target = open(mmap_file, 'r') target.close() msg = "I/O operation on closed file" - tm.assert_raises_regex( - ValueError, msg, icom.MMapWrapper, target) + with pytest.raises(ValueError, match=msg): + icom.MMapWrapper(target) def test_get_attr(self, mmap_file): with open(mmap_file, 'r') as target: @@ -307,5 +308,5 @@ def test_unknown_engine(self): with tm.ensure_clean() as path: df = tm.makeDataFrame() df.to_csv(path) - with tm.assert_raises_regex(ValueError, 'Unknown engine'): + with pytest.raises(ValueError, match='Unknown engine'): pd.read_csv(path, engine='pyt') diff --git a/pandas/tests/io/test_excel.py b/pandas/tests/io/test_excel.py index 1bd2fb5887e38..4bff39f8c7efc 100644 --- a/pandas/tests/io/test_excel.py +++ b/pandas/tests/io/test_excel.py @@ -564,12 +564,12 @@ def test_sheet_name_and_sheetname(self, ext): tm.assert_frame_equal(df2_parse, dfref, check_names=False) def test_sheet_name_both_raises(self, ext): - with tm.assert_raises_regex(TypeError, "Cannot specify both"): + with pytest.raises(TypeError, match="Cannot specify both"): self.get_exceldf('test1', ext, sheetname='Sheet1', sheet_name='Sheet1') excel = self.get_excelfile('test1', ext) - with tm.assert_raises_regex(TypeError, "Cannot specify both"): + with pytest.raises(TypeError, match="Cannot specify both"): excel.parse(sheetname='Sheet1', sheet_name='Sheet1') @@ -1040,7 +1040,7 @@ def test_read_excel_nrows_greater_than_nrows_in_file(self, ext): def test_read_excel_nrows_non_integer_parameter(self, ext): # GH 16645 msg = "'nrows' must be an integer >=0" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.read_excel(os.path.join(self.dirpath, 'test1' + ext), nrows='5') @@ -2133,7 +2133,7 @@ def test_write_append_mode_raises(self, merge_cells, ext, engine): msg = "Append mode is not supported with xlwt!" with ensure_clean(ext) as f: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): ExcelWriter(f, engine=engine, mode='a') @@ -2191,7 +2191,7 @@ def test_write_append_mode_raises(self, merge_cells, ext, engine): msg = "Append mode is not supported with xlsxwriter!" with ensure_clean(ext) as f: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): ExcelWriter(f, engine=engine, mode='a') @@ -2215,7 +2215,7 @@ def test_ExcelWriter_dispatch(self, klass, ext): assert isinstance(writer, klass) def test_ExcelWriter_dispatch_raises(self): - with tm.assert_raises_regex(ValueError, 'No engine'): + with pytest.raises(ValueError, match='No engine'): ExcelWriter('nothing') @pytest.mark.filterwarnings("ignore:\\nPanel:FutureWarning") diff --git a/pandas/tests/io/test_html.py b/pandas/tests/io/test_html.py index fea3c23121ab2..4201f751959b5 100644 --- a/pandas/tests/io/test_html.py +++ b/pandas/tests/io/test_html.py @@ -56,7 +56,7 @@ def assert_framelist_equal(list1, list2, *args, **kwargs): def test_bs4_version_fails(monkeypatch, datapath): import bs4 monkeypatch.setattr(bs4, '__version__', '4.2') - with tm.assert_raises_regex(ValueError, "minimum version"): + with pytest.raises(ValueError, match="minimum version"): read_html(datapath("io", "data", "spam.html"), flavor='bs4') @@ -65,7 +65,7 @@ def test_invalid_flavor(): flavor = "invalid flavor" msg = r"\{" + flavor + r"\} is not a valid set of flavors" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): read_html(url, "google", flavor=flavor) @@ -204,8 +204,8 @@ def test_skiprows_ndarray(self): assert_framelist_equal(df1, df2) def test_skiprows_invalid(self): - with tm.assert_raises_regex(TypeError, 'is not a valid type ' - 'for skipping rows'): + with pytest.raises(TypeError, match=('is not a valid type ' + 'for skipping rows')): self.read_html(self.spam_data, '.*Water.*', skiprows='asdf') def test_index(self): @@ -288,7 +288,7 @@ def test_file_url(self): @pytest.mark.slow def test_invalid_table_attrs(self): url = self.banklist_data - with tm.assert_raises_regex(ValueError, 'No tables found'): + with pytest.raises(ValueError, match='No tables found'): self.read_html(url, 'First Federal Bank of Florida', attrs={'id': 'tasdfable'}) @@ -341,8 +341,8 @@ def test_regex_idempotency(self): assert isinstance(df, DataFrame) def test_negative_skiprows(self): - with tm.assert_raises_regex(ValueError, - r'\(you passed a negative value\)'): + msg = r'\(you passed a negative value\)' + with pytest.raises(ValueError, match=msg): self.read_html(self.spam_data, 'Water', skiprows=-1) @network @@ -822,10 +822,9 @@ def test_parse_dates_combine(self): def test_computer_sales_page(self, datapath): data = datapath('io', 'data', 'computer_sales_page.html') - with tm.assert_raises_regex(ParserError, - r"Passed header=\[0,1\] are " - r"too many rows for this " - r"multi_index of columns"): + msg = (r"Passed header=\[0,1\] are too many " + r"rows for this multi_index of columns") + with pytest.raises(ParserError, match=msg): self.read_html(data, header=[0, 1]) data = datapath('io', 'data', 'computer_sales_page.html') @@ -839,10 +838,9 @@ def test_wikipedia_states_table(self, datapath): assert result['sq mi'].dtype == np.dtype('float64') def test_parser_error_on_empty_header_row(self): - with tm.assert_raises_regex(ParserError, - r"Passed header=\[0,1\] are " - r"too many rows for this " - r"multi_index of columns"): + msg = (r"Passed header=\[0,1\] are too many " + r"rows for this multi_index of columns") + with pytest.raises(ParserError, match=msg): self.read_html(""" diff --git a/pandas/tests/io/test_pickle.py b/pandas/tests/io/test_pickle.py index a47c3c01fc80e..85d467650d5c4 100644 --- a/pandas/tests/io/test_pickle.py +++ b/pandas/tests/io/test_pickle.py @@ -370,8 +370,7 @@ def test_write_explicit(self, compression, get_random_path): @pytest.mark.parametrize('compression', ['', 'None', 'bad', '7z']) def test_write_explicit_bad(self, compression, get_random_path): - with tm.assert_raises_regex(ValueError, - "Unrecognized compression type"): + with pytest.raises(ValueError, match="Unrecognized compression type"): with tm.ensure_clean(get_random_path) as path: df = tm.makeDataFrame() df.to_pickle(path, compression=compression) @@ -474,7 +473,7 @@ def test_read_bad_versions(self, protocol, get_random_path): # For Python 2, HIGHEST_PROTOCOL should be 2. msg = ("pickle protocol {protocol} asked for; the highest available " "protocol is 2").format(protocol=protocol) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): with tm.ensure_clean(get_random_path) as path: df = tm.makeDataFrame() df.to_pickle(path, protocol=protocol) diff --git a/pandas/tests/io/test_pytables.py b/pandas/tests/io/test_pytables.py index b6cf660cf171e..7e1b43e81f9c1 100644 --- a/pandas/tests/io/test_pytables.py +++ b/pandas/tests/io/test_pytables.py @@ -1084,9 +1084,7 @@ def test_encoding(self): def test_latin_encoding(self): if compat.PY2: - tm.assert_raises_regex( - TypeError, r'\[unicode\] is not implemented as a table column') - return + pytest.skip("[unicode] is not implemented as a table column") values = [[b'E\xc9, 17', b'', b'a', b'b', b'c'], [b'E\xc9, 17', b'a', b'b', b'c'], @@ -2598,8 +2596,8 @@ def test_terms(self): for t in terms: store.select('wp', t) - with tm.assert_raises_regex( - TypeError, 'Only named functions are supported'): + with pytest.raises(TypeError, + match='Only named functions are supported'): store.select( 'wp', 'major_axis == (lambda x: x)("20130101")') @@ -2610,9 +2608,8 @@ def test_terms(self): expected = Panel({-1: wpneg[-1]}) tm.assert_panel_equal(res, expected) - with tm.assert_raises_regex(NotImplementedError, - 'Unary addition ' - 'not supported'): + msg = 'Unary addition not supported' + with pytest.raises(NotImplementedError, match=msg): store.select('wpneg', 'items == +1') def test_term_compat(self): @@ -4520,9 +4517,8 @@ def f(): pytest.raises(ClosedFileError, store.get_storer, 'df2') pytest.raises(ClosedFileError, store.remove, 'df2') - def f(): + with pytest.raises(ClosedFileError, match='file is not open'): store.select('df') - tm.assert_raises_regex(ClosedFileError, 'file is not open', f) def test_pytables_native_read(self, datapath): with ensure_clean_store( @@ -4971,9 +4967,8 @@ def test_to_hdf_with_object_column_names(self): df = DataFrame(np.random.randn(10, 2), columns=index(2)) with ensure_clean_path(self.path) as path: with catch_warnings(record=True): - with tm.assert_raises_regex( - ValueError, ("cannot have non-object label " - "DataIndexableCol")): + msg = "cannot have non-object label DataIndexableCol" + with pytest.raises(ValueError, match=msg): df.to_hdf(path, 'df', format='table', data_columns=True) @@ -5155,14 +5150,14 @@ def test_query_compare_column_type(self): pd.Timedelta(1, 's')]: query = 'date {op} v'.format(op=op) with pytest.raises(TypeError): - result = store.select('test', where=query) + store.select('test', where=query) # strings to other columns must be convertible to type v = 'a' for col in ['int', 'float', 'real_date']: query = '{col} {op} v'.format(op=op, col=col) with pytest.raises(ValueError): - result = store.select('test', where=query) + store.select('test', where=query) for v, col in zip(['1', '1.1', '2014-01-01'], ['int', 'float', 'real_date']): diff --git a/pandas/tests/io/test_sql.py b/pandas/tests/io/test_sql.py index 777b04bbae97d..6bb7800b72110 100644 --- a/pandas/tests/io/test_sql.py +++ b/pandas/tests/io/test_sql.py @@ -993,7 +993,7 @@ def test_database_uri_string(self): pass db_uri = "postgresql+pg8000://user:pass@host/dbname" - with tm.assert_raises_regex(ImportError, "pg8000"): + with pytest.raises(ImportError, match="pg8000"): sql.read_sql("select * from table", db_uri) def _make_iris_table_metadata(self): diff --git a/pandas/tests/plotting/test_misc.py b/pandas/tests/plotting/test_misc.py index 54d17a4773749..1f0a0d6bfee95 100644 --- a/pandas/tests/plotting/test_misc.py +++ b/pandas/tests/plotting/test_misc.py @@ -22,7 +22,7 @@ def test_import_error_message(): # GH-19810 df = DataFrame({"A": [1, 2]}) - with tm.assert_raises_regex(ImportError, 'matplotlib is required'): + with pytest.raises(ImportError, match='matplotlib is required'): df.plot() diff --git a/pandas/tests/reshape/merge/test_join.py b/pandas/tests/reshape/merge/test_join.py index e965ff7a78a39..5387a1043e00e 100644 --- a/pandas/tests/reshape/merge/test_join.py +++ b/pandas/tests/reshape/merge/test_join.py @@ -237,9 +237,9 @@ def test_join_on_fails_with_wrong_object_type(self, wrong_type): # Edited test to remove the Series object from test parameters df = DataFrame({'a': [1, 1]}) - with tm.assert_raises_regex(TypeError, str(type(wrong_type))): + with pytest.raises(TypeError, match=str(type(wrong_type))): merge(wrong_type, df, left_on='a', right_on='a') - with tm.assert_raises_regex(TypeError, str(type(wrong_type))): + with pytest.raises(TypeError, match=str(type(wrong_type))): merge(df, wrong_type, left_on='a', right_on='a') def test_join_on_pass_vector(self): diff --git a/pandas/tests/reshape/merge/test_merge.py b/pandas/tests/reshape/merge/test_merge.py index 2b4a7952ae738..d9297cdc5ab3e 100644 --- a/pandas/tests/reshape/merge/test_merge.py +++ b/pandas/tests/reshape/merge/test_merge.py @@ -275,7 +275,7 @@ def test_no_overlap_more_informative_error(self): 'left_index={lidx}, right_index={ridx}' .format(lon=None, ron=None, lidx=False, ridx=False)) - with tm.assert_raises_regex(MergeError, msg): + with pytest.raises(MergeError, match=msg): merge(df1, df2) def test_merge_non_unique_indexes(self): @@ -1472,7 +1472,7 @@ def test_different(self, right_vals): "If you wish to proceed you should use " "pd.concat".format(lk_dtype=left['A'].dtype, rk_dtype=right['A'].dtype)) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.merge(left, right, on='A') @pytest.mark.parametrize('d1', [np.int64, np.int32, @@ -1599,7 +1599,7 @@ def test_merge_incompat_dtypes(self, df1_vals, df2_vals): "you should use pd.concat".format(lk_dtype=df1['A'].dtype, rk_dtype=df2['A'].dtype)) msg = re.escape(msg) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.merge(df1, df2, on=['A']) # Check that error still raised when swapping order of dataframes @@ -1608,7 +1608,7 @@ def test_merge_incompat_dtypes(self, df1_vals, df2_vals): "you should use pd.concat".format(lk_dtype=df2['A'].dtype, rk_dtype=df1['A'].dtype)) msg = re.escape(msg) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.merge(df2, df1, on=['A']) @@ -1938,6 +1938,6 @@ def test_merge_series(on, left_on, right_on, left_index, right_index, nms, nm): left_index=left_index, right_index=right_index) tm.assert_frame_equal(result, expected) else: - with tm.assert_raises_regex(ValueError, 'a Series without a name'): + with pytest.raises(ValueError, match='a Series without a name'): result = pd.merge(a, b, on=on, left_on=left_on, right_on=right_on, left_index=left_index, right_index=right_index) diff --git a/pandas/tests/reshape/merge/test_merge_asof.py b/pandas/tests/reshape/merge/test_merge_asof.py index cf39293f47082..71db7844a9db5 100644 --- a/pandas/tests/reshape/merge/test_merge_asof.py +++ b/pandas/tests/reshape/merge/test_merge_asof.py @@ -6,7 +6,6 @@ from pandas import (merge_asof, read_csv, to_datetime, Timedelta) from pandas.core.reshape.merge import MergeError -from pandas.util import testing as tm from pandas.util.testing import assert_frame_equal @@ -1005,7 +1004,7 @@ def test_merge_datatype_error(self): right = pd.DataFrame({'right_val': [1, 2, 3, 6, 7], 'a': [1, 2, 3, 6, 7]}) - with tm.assert_raises_regex(MergeError, msg): + with pytest.raises(MergeError, match=msg): merge_asof(left, right, on='a') @pytest.mark.parametrize('func', [lambda x: x, lambda x: to_datetime(x)], @@ -1019,7 +1018,7 @@ def test_merge_on_nans(self, func, side): df_null = pd.DataFrame({'a': nulls, 'left_val': ['a', 'b', 'c']}) df = pd.DataFrame({'a': non_nulls, 'right_val': [1, 6, 11]}) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): if side == 'left': merge_asof(df_null, df, on='a') else: diff --git a/pandas/tests/reshape/merge/test_merge_ordered.py b/pandas/tests/reshape/merge/test_merge_ordered.py index 42d8eb7273ee1..0f8ecc6370bfd 100644 --- a/pandas/tests/reshape/merge/test_merge_ordered.py +++ b/pandas/tests/reshape/merge/test_merge_ordered.py @@ -1,6 +1,6 @@ +import pytest import pandas as pd from pandas import DataFrame, merge_ordered -from pandas.util import testing as tm from pandas.util.testing import assert_frame_equal from numpy import nan @@ -76,7 +76,8 @@ def test_empty_sequence_concat(self): ([None, None], none_pat) ] for df_seq, pattern in test_cases: - tm.assert_raises_regex(ValueError, pattern, pd.concat, df_seq) + with pytest.raises(ValueError, match=pattern): + pd.concat(df_seq) pd.concat([pd.DataFrame()]) pd.concat([None, pd.DataFrame()]) diff --git a/pandas/tests/reshape/test_concat.py b/pandas/tests/reshape/test_concat.py index 673658c29fe75..c7fba47a8f27c 100644 --- a/pandas/tests/reshape/test_concat.py +++ b/pandas/tests/reshape/test_concat.py @@ -147,12 +147,10 @@ def test_concatlike_same_dtypes(self): tm.assert_index_equal(res, exp) # cannot append non-index - with tm.assert_raises_regex(TypeError, - 'all inputs must be Index'): + with pytest.raises(TypeError, match='all inputs must be Index'): pd.Index(vals1).append(vals2) - with tm.assert_raises_regex(TypeError, - 'all inputs must be Index'): + with pytest.raises(TypeError, match='all inputs must be Index'): pd.Index(vals1).append([pd.Index(vals2), vals3]) # ----- Series ----- # @@ -202,16 +200,16 @@ def test_concatlike_same_dtypes(self): msg = (r'cannot concatenate object of type \"(.+?)\";' ' only pd.Series, pd.DataFrame, and pd.Panel' r' \(deprecated\) objs are valid') - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): pd.Series(vals1).append(vals2) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): pd.Series(vals1).append([pd.Series(vals2), vals3]) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): pd.concat([pd.Series(vals1), vals2]) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): pd.concat([pd.Series(vals1), pd.Series(vals2), vals3]) def test_concatlike_dtypes_coercion(self): diff --git a/pandas/tests/reshape/test_melt.py b/pandas/tests/reshape/test_melt.py index e83a2cb483de7..16ecb07c5f413 100644 --- a/pandas/tests/reshape/test_melt.py +++ b/pandas/tests/reshape/test_melt.py @@ -112,7 +112,7 @@ def test_tuple_vars_fail_with_multiindex(self): for id_vars, value_vars in ((tuple_a, list_b), (list_a, tuple_b), (tuple_a, tuple_b)): - with tm.assert_raises_regex(ValueError, r'MultiIndex'): + with pytest.raises(ValueError, match=r'MultiIndex'): self.df1.melt(id_vars=id_vars, value_vars=value_vars) def test_custom_var_name(self): diff --git a/pandas/tests/reshape/test_pivot.py b/pandas/tests/reshape/test_pivot.py index 1cb036dccf23c..69572f75fea1b 100644 --- a/pandas/tests/reshape/test_pivot.py +++ b/pandas/tests/reshape/test_pivot.py @@ -1674,22 +1674,22 @@ def test_crosstab_errors(self): 'c': [1, 1, np.nan, 1, 1]}) error = 'values cannot be used without an aggfunc.' - with tm.assert_raises_regex(ValueError, error): + with pytest.raises(ValueError, match=error): pd.crosstab(df.a, df.b, values=df.c) error = 'aggfunc cannot be used without values' - with tm.assert_raises_regex(ValueError, error): + with pytest.raises(ValueError, match=error): pd.crosstab(df.a, df.b, aggfunc=np.mean) error = 'Not a valid normalize argument' - with tm.assert_raises_regex(ValueError, error): + with pytest.raises(ValueError, match=error): pd.crosstab(df.a, df.b, normalize='42') - with tm.assert_raises_regex(ValueError, error): + with pytest.raises(ValueError, match=error): pd.crosstab(df.a, df.b, normalize=42) error = 'Not a valid margins argument' - with tm.assert_raises_regex(ValueError, error): + with pytest.raises(ValueError, match=error): pd.crosstab(df.a, df.b, normalize='all', margins=42) def test_crosstab_with_categorial_columns(self): diff --git a/pandas/tests/reshape/test_tile.py b/pandas/tests/reshape/test_tile.py index 44de3e93d42bf..f04e9a55a6c8d 100644 --- a/pandas/tests/reshape/test_tile.py +++ b/pandas/tests/reshape/test_tile.py @@ -205,8 +205,8 @@ def test_qcut_specify_quantiles(self): tm.assert_categorical_equal(factor, expected) def test_qcut_all_bins_same(self): - tm.assert_raises_regex(ValueError, "edges.*unique", qcut, - [0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 3) + with pytest.raises(ValueError, match="edges.*unique"): + qcut([0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 3) def test_cut_out_of_bounds(self): arr = np.random.randn(100) diff --git a/pandas/tests/reshape/test_union_categoricals.py b/pandas/tests/reshape/test_union_categoricals.py index 8743d11118200..80538b0c6de4e 100644 --- a/pandas/tests/reshape/test_union_categoricals.py +++ b/pandas/tests/reshape/test_union_categoricals.py @@ -58,11 +58,11 @@ def test_union_categorical(self): s = Categorical([0, 1.2, 2]) s2 = Categorical([2, 3, 4]) msg = 'dtype of categories must be the same' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): union_categoricals([s, s2]) msg = 'No Categoricals to union' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): union_categoricals([]) def test_union_categoricals_nan(self): @@ -143,7 +143,7 @@ def test_union_categoricals_ordered(self): c2 = Categorical([1, 2, 3], ordered=False) msg = 'Categorical.ordered must be the same' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): union_categoricals([c1, c2]) res = union_categoricals([c1, c1]) @@ -161,7 +161,7 @@ def test_union_categoricals_ordered(self): c2 = Categorical([1, 2, 3], categories=[3, 2, 1], ordered=True) msg = "to union ordered Categoricals, all categories must be the same" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): union_categoricals([c1, c2]) def test_union_categoricals_ignore_order(self): @@ -174,7 +174,7 @@ def test_union_categoricals_ignore_order(self): tm.assert_categorical_equal(res, exp) msg = 'Categorical.ordered must be the same' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): union_categoricals([c1, c2], ignore_order=False) res = union_categoricals([c1, c1], ignore_order=True) @@ -212,10 +212,10 @@ def test_union_categoricals_ignore_order(self): tm.assert_categorical_equal(result, expected) msg = "to union ordered Categoricals, all categories must be the same" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): union_categoricals([c1, c2], ignore_order=False) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): union_categoricals([c1, c2]) def test_union_categoricals_sort(self): diff --git a/pandas/tests/reshape/test_util.py b/pandas/tests/reshape/test_util.py index e4a9591b95c26..e7e1626bdb2da 100644 --- a/pandas/tests/reshape/test_util.py +++ b/pandas/tests/reshape/test_util.py @@ -1,4 +1,4 @@ - +import pytest import numpy as np from pandas import date_range, Index import pandas.util.testing as tm @@ -41,9 +41,12 @@ def test_empty(self): expected = [] assert result == expected - def test_invalid_input(self): - invalid_inputs = [1, [1], [1, 2], [[1], 2], - 'a', ['a'], ['a', 'b'], [['a'], 'b']] + @pytest.mark.parametrize("X", [ + 1, [1], [1, 2], [[1], 2], + 'a', ['a'], ['a', 'b'], [['a'], 'b'] + ]) + def test_invalid_input(self, X): msg = "Input must be a list-like of list-likes" - for X in invalid_inputs: - tm.assert_raises_regex(TypeError, msg, cartesian_product, X=X) + + with pytest.raises(TypeError, match=msg): + cartesian_product(X=X) diff --git a/pandas/tests/scalar/interval/test_interval.py b/pandas/tests/scalar/interval/test_interval.py index 8d17989ebc7b1..7951fb7ddda0d 100644 --- a/pandas/tests/scalar/interval/test_interval.py +++ b/pandas/tests/scalar/interval/test_interval.py @@ -5,7 +5,6 @@ import pandas.core.common as com import pytest -import pandas.util.testing as tm @pytest.fixture @@ -35,7 +34,7 @@ def test_contains(self, interval): assert 0 not in interval msg = "__contains__ not defined for two intervals" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval in interval interval_both = Interval(0, 1, closed='both') @@ -53,7 +52,7 @@ def test_equal(self): assert Interval(0, 1) != 0 def test_comparison(self): - with tm.assert_raises_regex(TypeError, 'unorderable types'): + with pytest.raises(TypeError, match='unorderable types'): Interval(0, 1) < 2 assert Interval(0, 1) < Interval(1, 2) @@ -106,7 +105,7 @@ def test_length_errors(self, left, right): # GH 18789 iv = Interval(left, right) msg = 'cannot compute length between .* and .*' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): iv.length def test_math_add(self, closed): @@ -124,10 +123,10 @@ def test_math_add(self, closed): assert result == expected msg = r"unsupported operand type\(s\) for \+" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval + interval - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval + 'foo' def test_math_sub(self, closed): @@ -142,10 +141,10 @@ def test_math_sub(self, closed): assert result == expected msg = r"unsupported operand type\(s\) for -" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval - interval - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval - 'foo' def test_math_mult(self, closed): @@ -163,11 +162,11 @@ def test_math_mult(self, closed): assert result == expected msg = r"unsupported operand type\(s\) for \*" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval * interval msg = r"can\'t multiply sequence by non-int" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval * 'foo' def test_math_div(self, closed): @@ -182,10 +181,10 @@ def test_math_div(self, closed): assert result == expected msg = r"unsupported operand type\(s\) for /" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval / interval - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval / 'foo' def test_math_floordiv(self, closed): @@ -200,19 +199,19 @@ def test_math_floordiv(self, closed): assert result == expected msg = r"unsupported operand type\(s\) for //" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval // interval - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval // 'foo' def test_constructor_errors(self): msg = "invalid option for 'closed': foo" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Interval(0, 1, closed='foo') msg = 'left side of interval must be <= right side' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Interval(1, 0) @pytest.mark.parametrize('tz_left, tz_right', [ diff --git a/pandas/tests/scalar/interval/test_ops.py b/pandas/tests/scalar/interval/test_ops.py index 7eca24aa8af25..869ff205c2f51 100644 --- a/pandas/tests/scalar/interval/test_ops.py +++ b/pandas/tests/scalar/interval/test_ops.py @@ -2,7 +2,6 @@ import pytest from pandas import Interval, Timedelta, Timestamp -import pandas.util.testing as tm @pytest.fixture(params=[ @@ -57,5 +56,5 @@ def test_overlaps_invalid_type(self, other): interval = Interval(0, 1) msg = '`other` must be an Interval, got {other}'.format( other=type(other).__name__) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): interval.overlaps(other) diff --git a/pandas/tests/scalar/period/test_asfreq.py b/pandas/tests/scalar/period/test_asfreq.py index 432d55ef5967a..23762fda8c22a 100644 --- a/pandas/tests/scalar/period/test_asfreq.py +++ b/pandas/tests/scalar/period/test_asfreq.py @@ -329,26 +329,26 @@ def test_conv_weekly(self): assert ival_W.asfreq('W') == ival_W msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): ival_W.asfreq('WK') def test_conv_weekly_legacy(self): # frequency conversion tests: from Weekly Frequency msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(freq='WK', year=2007, month=1, day=1) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(freq='WK-SAT', year=2007, month=1, day=6) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(freq='WK-FRI', year=2007, month=1, day=5) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(freq='WK-THU', year=2007, month=1, day=4) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(freq='WK-WED', year=2007, month=1, day=3) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(freq='WK-TUE', year=2007, month=1, day=2) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(freq='WK-MON', year=2007, month=1, day=1) def test_conv_business(self): @@ -742,10 +742,10 @@ def test_asfreq_MS(self): assert initial.asfreq(freq="M", how="S") == Period('2013-01', 'M') msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): initial.asfreq(freq="MS", how="S") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.Period('2013-01', 'MS') assert _period_code_map.get("MS") is None diff --git a/pandas/tests/scalar/period/test_period.py b/pandas/tests/scalar/period/test_period.py index 66e8541d2c911..6d5686463f2ae 100644 --- a/pandas/tests/scalar/period/test_period.py +++ b/pandas/tests/scalar/period/test_period.py @@ -142,11 +142,11 @@ def test_period_cons_mult(self): msg = ('Frequency must be positive, because it' ' represents span: -3M') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period('2011-01', freq='-3M') msg = ('Frequency must be positive, because it' ' represents span: 0M') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period('2011-01', freq='0M') def test_period_cons_combined(self): @@ -196,28 +196,28 @@ def test_period_cons_combined(self): msg = ('Frequency must be positive, because it' ' represents span: -25H') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period('2011-01', freq='-1D1H') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period('2011-01', freq='-1H1D') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(ordinal=1, freq='-1D1H') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(ordinal=1, freq='-1H1D') msg = ('Frequency must be positive, because it' ' represents span: 0D') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period('2011-01', freq='0D0H') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(ordinal=1, freq='0D0H') # You can only combine together day and intraday offsets msg = ('Invalid frequency: 1W1D') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period('2011-01', freq='1W1D') msg = ('Invalid frequency: 1D1W') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period('2011-01', freq='1D1W') @pytest.mark.parametrize('tzstr', ['Europe/Brussels', @@ -528,9 +528,9 @@ def test_period_deprecated_freq(self): msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG for exp, freqs in iteritems(cases): for freq in freqs: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period('2016-03-01 09:00', freq=freq) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(ordinal=1, freq=freq) # check supported freq-aliases still works @@ -774,7 +774,7 @@ def test_properties_weekly_legacy(self): assert exp.days_in_month == 29 msg = pd._libs.tslibs.frequencies.INVALID_FREQ_ERR_MSG - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Period(freq='WK', year=2007, month=1, day=7) def test_properties_daily(self): @@ -1036,14 +1036,14 @@ def test_add_raises(self): dt1 = Period(freq='D', year=2008, month=1, day=1) dt2 = Period(freq='D', year=2008, month=1, day=2) msg = r"unsupported operand type\(s\)" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): dt1 + "str" msg = r"unsupported operand type\(s\)" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): "str" + dt1 - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): dt1 + dt2 boxes = [lambda x: x, lambda x: pd.Series([x]), lambda x: pd.Index([x])] @@ -1061,13 +1061,13 @@ def test_add_timestamp_raises(self, rbox, lbox): msg = (r"cannot add|unsupported operand|" r"can only operate on a|incompatible type|" r"ufunc add cannot use operands") - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): lbox(ts) + rbox(per) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): lbox(per) + rbox(ts) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): lbox(per) + rbox(per) def test_sub(self): @@ -1079,7 +1079,7 @@ def test_sub(self): assert dt2 - dt1 == 14 * off msg = r"Input has different freq=M from Period\(freq=D\)" - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): dt1 - Period('2011-02', freq='M') def test_add_offset(self): @@ -1435,10 +1435,10 @@ def test_period_ops_offset(self): assert result == exp msg = r"Input cannot be converted to Period\(freq=D\)" - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): p + offsets.Hour(2) - with tm.assert_raises_regex(period.IncompatibleFrequency, msg): + with pytest.raises(period.IncompatibleFrequency, match=msg): p - offsets.Hour(2) diff --git a/pandas/tests/scalar/timedelta/test_construction.py b/pandas/tests/scalar/timedelta/test_construction.py index d648140aa7347..4165b1aec705f 100644 --- a/pandas/tests/scalar/timedelta/test_construction.py +++ b/pandas/tests/scalar/timedelta/test_construction.py @@ -5,7 +5,6 @@ import numpy as np import pandas as pd -import pandas.util.testing as tm from pandas import Timedelta @@ -90,15 +89,16 @@ def test_construction(): Timedelta('3.1415') # invalid construction - tm.assert_raises_regex(ValueError, "cannot construct a Timedelta", - lambda: Timedelta()) - tm.assert_raises_regex(ValueError, - "unit abbreviation w/o a number", - lambda: Timedelta('foo')) - tm.assert_raises_regex(ValueError, - "cannot construct a Timedelta from the " - "passed arguments, allowed keywords are ", - lambda: Timedelta(day=10)) + with pytest.raises(ValueError, match="cannot construct a Timedelta"): + Timedelta() + + with pytest.raises(ValueError, match="unit abbreviation w/o a number"): + Timedelta('foo') + + msg = ("cannot construct a Timedelta from " + "the passed arguments, allowed keywords are ") + with pytest.raises(ValueError, match=msg): + Timedelta(day=10) # floats expected = np.timedelta64( @@ -190,8 +190,8 @@ def test_iso_constructor(fmt, exp): 'P1DT0H0M0.0000000000000S', 'P1DT0H0M00000000000S', 'P1DT0H0M0.S']) def test_iso_constructor_raises(fmt): - with tm.assert_raises_regex(ValueError, 'Invalid ISO 8601 Duration ' - 'format - {}'.format(fmt)): + with pytest.raises(ValueError, match=('Invalid ISO 8601 Duration ' + 'format - {}'.format(fmt))): Timedelta(fmt) diff --git a/pandas/tests/scalar/timestamp/test_timestamp.py b/pandas/tests/scalar/timestamp/test_timestamp.py index 7af0b281aeaa5..47f91fdf25756 100644 --- a/pandas/tests/scalar/timestamp/test_timestamp.py +++ b/pandas/tests/scalar/timestamp/test_timestamp.py @@ -334,20 +334,20 @@ def test_constructor_with_stringoffset(self): assert result == eval(repr(result)) def test_constructor_invalid(self): - with tm.assert_raises_regex(TypeError, 'Cannot convert input'): + with pytest.raises(TypeError, match='Cannot convert input'): Timestamp(slice(2)) - with tm.assert_raises_regex(ValueError, 'Cannot convert Period'): + with pytest.raises(ValueError, match='Cannot convert Period'): Timestamp(Period('1000-01-01')) def test_constructor_invalid_tz(self): # GH#17690 - with tm.assert_raises_regex(TypeError, 'must be a datetime.tzinfo'): + with pytest.raises(TypeError, match='must be a datetime.tzinfo'): Timestamp('2017-10-22', tzinfo='US/Eastern') - with tm.assert_raises_regex(ValueError, 'at most one of'): + with pytest.raises(ValueError, match='at most one of'): Timestamp('2017-10-22', tzinfo=utc, tz='UTC') - with tm.assert_raises_regex(ValueError, "Invalid frequency:"): + with pytest.raises(ValueError, match="Invalid frequency:"): # GH#5168 # case where user tries to pass tz as an arg, not kwarg, gets # interpreted as a `freq` @@ -577,7 +577,7 @@ def test_construct_timestamp_preserve_original_frequency(self): def test_constructor_invalid_frequency(self): # GH 22311 - with tm.assert_raises_regex(ValueError, "Invalid frequency:"): + with pytest.raises(ValueError, match="Invalid frequency:"): Timestamp('2012-01-01', freq=[]) diff --git a/pandas/tests/scalar/timestamp/test_timezones.py b/pandas/tests/scalar/timestamp/test_timezones.py index 827ad3581cd49..6755d0bd4ae27 100644 --- a/pandas/tests/scalar/timestamp/test_timezones.py +++ b/pandas/tests/scalar/timestamp/test_timezones.py @@ -64,14 +64,14 @@ def test_tz_localize_ambiguous(self): ts.tz_localize('US/Eastern', ambiguous='infer') # GH#8025 - with tm.assert_raises_regex(TypeError, - 'Cannot localize tz-aware Timestamp, ' - 'use tz_convert for conversions'): + msg = ('Cannot localize tz-aware Timestamp, ' + 'use tz_convert for conversions') + with pytest.raises(TypeError, match=msg): Timestamp('2011-01-01', tz='US/Eastern').tz_localize('Asia/Tokyo') - with tm.assert_raises_regex(TypeError, - 'Cannot convert tz-naive Timestamp, ' - 'use tz_localize to localize'): + msg = ('Cannot convert tz-naive Timestamp, ' + 'use tz_localize to localize') + with pytest.raises(TypeError, match=msg): Timestamp('2011-01-01').tz_convert('Asia/Tokyo') @pytest.mark.parametrize('stamp, tz', [ diff --git a/pandas/tests/scalar/timestamp/test_unary_ops.py b/pandas/tests/scalar/timestamp/test_unary_ops.py index 0c477a021df4d..a9a60c4119605 100644 --- a/pandas/tests/scalar/timestamp/test_unary_ops.py +++ b/pandas/tests/scalar/timestamp/test_unary_ops.py @@ -76,7 +76,7 @@ def test_round_nonstandard_freq(self): def test_round_invalid_arg(self): stamp = Timestamp('2000-01-05 05:09:15.13') - with tm.assert_raises_regex(ValueError, INVALID_FREQ_ERR_MSG): + with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG): stamp.round('foo') @pytest.mark.parametrize('test_input, rounder, freq, expected', [ diff --git a/pandas/tests/series/indexing/test_alter_index.py b/pandas/tests/series/indexing/test_alter_index.py index 57a087221f411..e2cffe653d935 100644 --- a/pandas/tests/series/indexing/test_alter_index.py +++ b/pandas/tests/series/indexing/test_alter_index.py @@ -520,7 +520,7 @@ def test_drop_unique_and_non_unique_index(data, index, axis, drop_labels, def test_drop_exception_raised(data, index, drop_labels, axis, error_type, error_desc): - with tm.assert_raises_regex(error_type, error_desc): + with pytest.raises(error_type, match=error_desc): Series(data, index=index).drop(drop_labels, axis=axis) @@ -557,5 +557,5 @@ def test_drop_empty_list(index, drop_labels): ]) def test_drop_non_empty_list(data, index, drop_labels): # GH 21494 and GH 16877 - with tm.assert_raises_regex(KeyError, 'not found in axis'): + with pytest.raises(KeyError, match='not found in axis'): pd.Series(data=data, index=index).drop(drop_labels) diff --git a/pandas/tests/series/indexing/test_boolean.py b/pandas/tests/series/indexing/test_boolean.py index 5d1b81ba7dc1c..b94104a89627a 100644 --- a/pandas/tests/series/indexing/test_boolean.py +++ b/pandas/tests/series/indexing/test_boolean.py @@ -322,11 +322,11 @@ def test_where_invalid_input(cond): s = Series([1, 2, 3]) msg = "Boolean array expected for the condition" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.where(cond) msg = "Array conditional must be same shape as self" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.where([True]) @@ -335,7 +335,7 @@ def test_where_ndframe_align(): s = Series([1, 2, 3]) cond = [True] - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.where(cond) expected = Series([1, np.nan, np.nan]) @@ -344,7 +344,7 @@ def test_where_ndframe_align(): tm.assert_series_equal(out, expected) cond = np.array([False, True, False, True]) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.where(cond) expected = Series([np.nan, 2, np.nan]) diff --git a/pandas/tests/series/indexing/test_indexing.py b/pandas/tests/series/indexing/test_indexing.py index 1582bd119c806..f969619d5acb0 100644 --- a/pandas/tests/series/indexing/test_indexing.py +++ b/pandas/tests/series/indexing/test_indexing.py @@ -394,9 +394,9 @@ def test_setslice(test_data): @pytest.mark.filterwarnings("ignore:Using a non-tuple:FutureWarning") def test_basic_getitem_setitem_corner(test_data): # invalid tuples, e.g. td.ts[:, None] vs. td.ts[:, 2] - with tm.assert_raises_regex(ValueError, 'tuple-index'): + with pytest.raises(ValueError, match='tuple-index'): test_data.ts[:, 2] - with tm.assert_raises_regex(ValueError, 'tuple-index'): + with pytest.raises(ValueError, match='tuple-index'): test_data.ts[:, 2] = 2 # weird lists. [slice(0, 5)] will work but not two slices diff --git a/pandas/tests/series/test_alter_axes.py b/pandas/tests/series/test_alter_axes.py index 00e145680c7a6..79de3dc3be19f 100644 --- a/pandas/tests/series/test_alter_axes.py +++ b/pandas/tests/series/test_alter_axes.py @@ -80,7 +80,7 @@ def test_rename_axis_supported(self): s = Series(range(5)) s.rename({}, axis=0) s.rename({}, axis='index') - with tm.assert_raises_regex(ValueError, 'No axis named 5'): + with pytest.raises(ValueError, match='No axis named 5'): s.rename({}, axis=5) def test_set_name_attribute(self): @@ -169,7 +169,7 @@ def test_reset_index_level(self): drop=True) tm.assert_frame_equal(result, df[['C']]) - with tm.assert_raises_regex(KeyError, 'Level E '): + with pytest.raises(KeyError, match='Level E '): s.reset_index(level=['A', 'E']) # With single-level Index @@ -184,7 +184,7 @@ def test_reset_index_level(self): result = s.reset_index(level=levels[0], drop=True) tm.assert_series_equal(result, df['B']) - with tm.assert_raises_regex(IndexError, 'Too many levels'): + with pytest.raises(IndexError, match='Too many levels'): s.reset_index(level=[0, 1, 2]) # Check that .reset_index([],drop=True) doesn't fail @@ -241,7 +241,7 @@ def test_rename_axis_mapper(self): result = s.rename_axis(index=['foo', 'goo']) assert result.index.names == ['foo', 'goo'] - with tm.assert_raises_regex(TypeError, 'unexpected'): + with pytest.raises(TypeError, match='unexpected'): s.rename_axis(columns='wrong') def test_rename_axis_inplace(self, datetime_series): @@ -289,7 +289,7 @@ def test_set_axis_inplace(self): # wrong values for the "axis" parameter for axis in [2, 'foo']: - with tm.assert_raises_regex(ValueError, 'No axis named'): + with pytest.raises(ValueError, match='No axis named'): s.set_axis(list('abcd'), axis=axis, inplace=False) def test_set_axis_prior_to_deprecation_signature(self): @@ -308,14 +308,14 @@ def test_reset_index_drop_errors(self): # KeyError raised for series index when passed level name is missing s = Series(range(4)) - with tm.assert_raises_regex(KeyError, 'must be same as name'): + with pytest.raises(KeyError, match='must be same as name'): s.reset_index('wrong', drop=True) - with tm.assert_raises_regex(KeyError, 'must be same as name'): + with pytest.raises(KeyError, match='must be same as name'): s.reset_index('wrong') # KeyError raised for series when level to be dropped is missing s = Series(range(4), index=MultiIndex.from_product([[1, 2]] * 2)) - with tm.assert_raises_regex(KeyError, 'not found'): + with pytest.raises(KeyError, match='not found'): s.reset_index('wrong', drop=True) def test_droplevel(self): diff --git a/pandas/tests/series/test_analytics.py b/pandas/tests/series/test_analytics.py index cbcfa629c8928..a5a7cc2217864 100644 --- a/pandas/tests/series/test_analytics.py +++ b/pandas/tests/series/test_analytics.py @@ -26,7 +26,7 @@ assert_series_equal) -class TestSeriesAnalytics(): +class TestSeriesAnalytics(object): @pytest.mark.parametrize("use_bottleneck", [True, False]) @pytest.mark.parametrize("method, unit", [ @@ -561,8 +561,8 @@ def _check_stat_op(self, name, alternate, string_series_, # Unimplemented numeric_only parameter. if 'numeric_only' in compat.signature(f).args: - tm.assert_raises_regex(NotImplementedError, name, f, - string_series_, numeric_only=True) + with pytest.raises(NotImplementedError, match=name): + f(string_series_, numeric_only=True) def _check_accum_op(self, name, datetime_series_, check_dtype=True): func = getattr(np, name) @@ -601,12 +601,12 @@ def test_numpy_compress(self): with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.compress, - cond, s, axis=1) + with pytest.raises(ValueError, match=msg): + np.compress(cond, s, axis=1) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.compress, - cond, s, out=s) + with pytest.raises(ValueError, match=msg): + np.compress(cond, s, out=s) def test_round(self, datetime_series): datetime_series.index.name = "index_name" @@ -624,7 +624,7 @@ def test_numpy_round(self): assert_series_equal(out, expected) msg = "the 'out' parameter is not supported" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): np.round(s, decimals=0, out=s) def test_built_in_round(self): @@ -789,7 +789,7 @@ def test_corr_invalid_method(self): s2 = pd.Series(np.random.randn(10)) msg = ("method must be either 'pearson', 'spearman', " "or 'kendall'") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s1.corr(s2, method="____") def test_corr_callable_method(self, datetime_series): @@ -1254,8 +1254,8 @@ def test_numpy_argmin_deprecated(self): with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.argmin, - s, out=data) + with pytest.raises(ValueError, match=msg): + np.argmin(s, out=data) def test_idxmax(self, string_series): # test idxmax @@ -1322,8 +1322,8 @@ def test_numpy_argmax_deprecated(self): with tm.assert_produces_warning(FutureWarning, check_stacklevel=False): msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.argmax, - s, out=data) + with pytest.raises(ValueError, match=msg): + np.argmax(s, out=data) def test_ptp(self): # GH21614 @@ -1392,7 +1392,8 @@ def test_numpy_repeat(self): assert_series_equal(np.repeat(s, 2), expected) msg = "the 'axis' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.repeat, s, 2, axis=0) + with pytest.raises(ValueError, match=msg): + np.repeat(s, 2, axis=0) def test_searchsorted(self): s = Series([1, 2, 3]) @@ -1929,7 +1930,7 @@ def test_error(self, r): args = 2, len(r), 0, -1 methods = r.nlargest, r.nsmallest for method, arg in product(methods, args): - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): method(arg) def test_nsmallest_nlargest(self, s_main_dtypes_split): @@ -1959,9 +1960,9 @@ def test_misc(self): assert_series_equal(s.nsmallest(), s.iloc[[2, 3, 0, 4]]) msg = 'keep must be either "first", "last"' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.nsmallest(keep='invalid') - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.nlargest(keep='invalid') # GH 15297 diff --git a/pandas/tests/series/test_api.py b/pandas/tests/series/test_api.py index bd0d02014dcdb..f944d6f8c9d08 100644 --- a/pandas/tests/series/test_api.py +++ b/pandas/tests/series/test_api.py @@ -457,8 +457,7 @@ def test_str_attribute(self): # str accessor only valid with string values s = Series(range(5)) - with tm.assert_raises_regex(AttributeError, - 'only use .str accessor'): + with pytest.raises(AttributeError, match='only use .str accessor'): s.str.repeat(2) def test_empty_method(self): @@ -525,26 +524,25 @@ def test_cat_accessor_api(self): assert isinstance(s.cat, CategoricalAccessor) invalid = Series([1]) - with tm.assert_raises_regex(AttributeError, - "only use .cat accessor"): + with pytest.raises(AttributeError, match="only use .cat accessor"): invalid.cat assert not hasattr(invalid, 'cat') def test_cat_accessor_no_new_attributes(self): # https://github.com/pandas-dev/pandas/issues/10673 c = Series(list('aabbcde')).astype('category') - with tm.assert_raises_regex(AttributeError, - "You cannot add any new attribute"): + with pytest.raises(AttributeError, + match="You cannot add any new attribute"): c.cat.xlabel = "a" def test_categorical_delegations(self): # invalid accessor pytest.raises(AttributeError, lambda: Series([1, 2, 3]).cat) - tm.assert_raises_regex( - AttributeError, - r"Can only use .cat accessor with a 'category' dtype", - lambda: Series([1, 2, 3]).cat) + with pytest.raises(AttributeError, + match=(r"Can only use .cat accessor " + r"with a 'category' dtype")): + Series([1, 2, 3]).cat() pytest.raises(AttributeError, lambda: Series(['a', 'b', 'c']).cat) pytest.raises(AttributeError, lambda: Series(np.arange(5.)).cat) pytest.raises(AttributeError, @@ -674,9 +672,9 @@ def test_str_accessor_api_for_categorical(self): tm.assert_series_equal(res, exp) invalid = Series([1, 2, 3]).astype('category') - with tm.assert_raises_regex(AttributeError, - "Can only use .str " - "accessor with string"): + msg = "Can only use .str accessor with string" + + with pytest.raises(AttributeError, match=msg): invalid.str assert not hasattr(invalid, 'str') @@ -760,7 +758,8 @@ def test_dt_accessor_api_for_categorical(self): tm.assert_almost_equal(res, exp) invalid = Series([1, 2, 3]).astype('category') - with tm.assert_raises_regex( - AttributeError, "Can only use .dt accessor with datetimelike"): + msg = "Can only use .dt accessor with datetimelike" + + with pytest.raises(AttributeError, match=msg): invalid.dt assert not hasattr(invalid, 'str') diff --git a/pandas/tests/series/test_arithmetic.py b/pandas/tests/series/test_arithmetic.py index 979775633f644..d1d6aa8b51c0d 100644 --- a/pandas/tests/series/test_arithmetic.py +++ b/pandas/tests/series/test_arithmetic.py @@ -82,7 +82,7 @@ def test_add_series_with_period_index(self): tm.assert_series_equal(result, expected) msg = "Input has different freq=D from PeriodIndex\\(freq=A-DEC\\)" - with tm.assert_raises_regex(IncompatibleFrequency, msg): + with pytest.raises(IncompatibleFrequency, match=msg): ts + ts.asfreq('D', how="end") def test_operators_datetimelike(self): @@ -139,7 +139,7 @@ def test_comparison_flex_basic(self): # msg = 'No axis named 1 for object type' for op in ['eq', 'ne', 'le', 'le', 'gt', 'ge']: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): getattr(left, op)(right, axis=1) diff --git a/pandas/tests/series/test_combine_concat.py b/pandas/tests/series/test_combine_concat.py index a685eb7e9fbd3..3f137bf686715 100644 --- a/pandas/tests/series/test_combine_concat.py +++ b/pandas/tests/series/test_combine_concat.py @@ -51,9 +51,9 @@ def test_append_duplicates(self): exp, check_index_type=True) msg = 'Indexes have overlapping values:' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s1.append(s2, verify_integrity=True) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.concat([s1, s2], verify_integrity=True) def test_combine_scalar(self): diff --git a/pandas/tests/series/test_constructors.py b/pandas/tests/series/test_constructors.py index 494321c5190a6..ce0cf0d5c089e 100644 --- a/pandas/tests/series/test_constructors.py +++ b/pandas/tests/series/test_constructors.py @@ -33,7 +33,7 @@ def test_invalid_dtype(self): msg = 'not understood' invalid_list = [pd.Timestamp, 'pd.Timestamp', list] for dtype in invalid_list: - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): Series([], name='time', dtype=dtype) def test_scalar_conversion(self): @@ -560,19 +560,19 @@ def test_constructor_pass_nan_nat(self): def test_constructor_cast(self): msg = "could not convert string to float" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Series(["a", "b", "c"], dtype=float) def test_constructor_unsigned_dtype_overflow(self, uint_dtype): # see gh-15832 msg = 'Trying to coerce negative values to unsigned integers' - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): Series([-1], dtype=uint_dtype) def test_constructor_coerce_float_fail(self, any_int_dtype): # see gh-15832 msg = "Trying to coerce float values to integers" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Series([1, 2, 3.5], dtype=any_int_dtype) def test_constructor_coerce_float_valid(self, float_dtype): @@ -1162,7 +1162,7 @@ def test_constructor_cant_cast_datetimelike(self, index): # PeriodIndex or PeriodArray type(index).__name__.rstrip("Index") ) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): Series(index, dtype=float) # ints are ok @@ -1200,7 +1200,7 @@ def test_constructor_generic_timestamp_no_frequency(self, dtype): # see gh-15524, gh-15987 msg = "dtype has no unit. Please pass in" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): Series([], dtype=dtype) @pytest.mark.parametrize("dtype,msg", [ @@ -1210,7 +1210,7 @@ def test_constructor_generic_timestamp_no_frequency(self, dtype): def test_constructor_generic_timestamp_bad_frequency(self, dtype, msg): # see gh-15524, gh-15987 - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): Series([], dtype=dtype) @pytest.mark.parametrize('dtype', [None, 'uint8', 'category']) diff --git a/pandas/tests/series/test_datetime_values.py b/pandas/tests/series/test_datetime_values.py index f3ae2b1e6ad15..b1c92c2b82a56 100644 --- a/pandas/tests/series/test_datetime_values.py +++ b/pandas/tests/series/test_datetime_values.py @@ -216,7 +216,7 @@ def get_dir(s): # no setting allowed s = Series(date_range('20130101', periods=5, freq='D'), name='xxx') - with tm.assert_raises_regex(ValueError, "modifications"): + with pytest.raises(ValueError, match="modifications"): s.dt.hour = 5 # trying to set a copy @@ -314,8 +314,8 @@ def test_dt_namespace_accessor_categorical(self): def test_dt_accessor_no_new_attributes(self): # https://github.com/pandas-dev/pandas/issues/10673 s = Series(date_range('20130101', periods=5, freq='D')) - with tm.assert_raises_regex(AttributeError, - "You cannot add any new attribute"): + with pytest.raises(AttributeError, + match="You cannot add any new attribute"): s.dt.xlabel = "a" @pytest.mark.parametrize('time_locale', [ @@ -481,7 +481,7 @@ def test_dt_accessor_api(self): Series(np.random.randn(5))]) def test_dt_accessor_invalid(self, ser): # GH#9322 check that series with incorrect dtypes don't have attr - with tm.assert_raises_regex(AttributeError, "only use .dt accessor"): + with pytest.raises(AttributeError, match="only use .dt accessor"): ser.dt assert not hasattr(ser, 'dt') diff --git a/pandas/tests/series/test_dtypes.py b/pandas/tests/series/test_dtypes.py index 75017f2d22794..79b1bc10b9f4b 100644 --- a/pandas/tests/series/test_dtypes.py +++ b/pandas/tests/series/test_dtypes.py @@ -68,7 +68,7 @@ def test_astype_cast_nan_inf_int(self, dtype, value): msg = 'Cannot convert non-finite values \\(NA or inf\\) to integer' s = Series([value]) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.astype(dtype) @pytest.mark.parametrize("dtype", [int, np.int8, np.int64]) @@ -404,7 +404,7 @@ def test_astype_generic_timestamp_no_frequency(self, dtype): s = Series(data) msg = "dtype has no unit. Please pass in" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.astype(dtype) @pytest.mark.parametrize("dtype", np.typecodes['All']) diff --git a/pandas/tests/series/test_missing.py b/pandas/tests/series/test_missing.py index c38b7c0083a21..dc58b46f90609 100644 --- a/pandas/tests/series/test_missing.py +++ b/pandas/tests/series/test_missing.py @@ -401,31 +401,31 @@ def test_fillna_categorical_raise(self): data = ['a', np.nan, 'b', np.nan, np.nan] s = Series(Categorical(data, categories=['a', 'b'])) - with tm.assert_raises_regex(ValueError, - "fill value must be in categories"): + with pytest.raises(ValueError, + match="fill value must be in categories"): s.fillna('d') - with tm.assert_raises_regex(ValueError, - "fill value must be in categories"): + with pytest.raises(ValueError, + match="fill value must be in categories"): s.fillna(Series('d')) - with tm.assert_raises_regex(ValueError, - "fill value must be in categories"): + with pytest.raises(ValueError, + match="fill value must be in categories"): s.fillna({1: 'd', 3: 'a'}) - with tm.assert_raises_regex(TypeError, - '"value" parameter must be a scalar or ' - 'dict, but you passed a "list"'): + msg = ('"value" parameter must be a scalar or ' + 'dict, but you passed a "list"') + with pytest.raises(TypeError, match=msg): s.fillna(['a', 'b']) - with tm.assert_raises_regex(TypeError, - '"value" parameter must be a scalar or ' - 'dict, but you passed a "tuple"'): + msg = ('"value" parameter must be a scalar or ' + 'dict, but you passed a "tuple"') + with pytest.raises(TypeError, match=msg): s.fillna(('a', 'b')) - with tm.assert_raises_regex(TypeError, - '"value" parameter must be a scalar, dict ' - 'or Series, but you passed a "DataFrame"'): + msg = ('"value" parameter must be a scalar, dict ' + 'or Series, but you passed a "DataFrame"') + with pytest.raises(TypeError, match=msg): s.fillna(DataFrame({1: ['a'], 3: ['b']})) def test_fillna_nat(self): diff --git a/pandas/tests/series/test_operators.py b/pandas/tests/series/test_operators.py index 35bd99ff2eda8..77e43a346c824 100644 --- a/pandas/tests/series/test_operators.py +++ b/pandas/tests/series/test_operators.py @@ -604,23 +604,23 @@ def test_comp_ops_df_compat(self): for left, right in [(s1, s2), (s2, s1), (s3, s4), (s4, s3)]: msg = "Can only compare identically-labeled Series objects" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): left == right - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): left != right - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): left < right msg = "Can only compare identically-labeled DataFrame objects" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): left.to_frame() == right.to_frame() - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): left.to_frame() != right.to_frame() - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): left.to_frame() < right.to_frame() diff --git a/pandas/tests/series/test_quantile.py b/pandas/tests/series/test_quantile.py index 027814c618303..4f462e11e9bb9 100644 --- a/pandas/tests/series/test_quantile.py +++ b/pandas/tests/series/test_quantile.py @@ -44,7 +44,7 @@ def test_quantile(self): msg = 'percentiles should all be in the interval \\[0, 1\\]' for invalid in [-1, 2, [0.5, -1], [0.5, 2]]: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.ts.quantile(invalid) def test_quantile_multi(self): diff --git a/pandas/tests/series/test_rank.py b/pandas/tests/series/test_rank.py index 40a30cc8cf09a..9772ceecfc7b1 100644 --- a/pandas/tests/series/test_rank.py +++ b/pandas/tests/series/test_rank.py @@ -185,11 +185,11 @@ def test_rank_categorical(self): # Test invalid values for na_option msg = "na_option must be one of 'keep', 'top', or 'bottom'" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): na_ser.rank(na_option='bad', ascending=False) # invalid type - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): na_ser.rank(na_option=True, ascending=False) # Test with pct=True diff --git a/pandas/tests/series/test_replace.py b/pandas/tests/series/test_replace.py index 7efde1fbdd1f5..3a9c210017625 100644 --- a/pandas/tests/series/test_replace.py +++ b/pandas/tests/series/test_replace.py @@ -77,7 +77,7 @@ def test_replace(self): # make sure that we aren't just masking a TypeError because bools don't # implement indexing - with tm.assert_raises_regex(TypeError, 'Cannot compare types .+'): + with pytest.raises(TypeError, match='Cannot compare types .+'): ser.replace([1, 2], [np.nan, 0]) ser = pd.Series([0, 1, 2, 3, 4]) @@ -137,9 +137,9 @@ def test_replace_with_empty_list(self): tm.assert_series_equal(result, expected) # GH 19266 - with tm.assert_raises_regex(ValueError, "cannot assign mismatch"): + with pytest.raises(ValueError, match="cannot assign mismatch"): s.replace({np.nan: []}) - with tm.assert_raises_regex(ValueError, "cannot assign mismatch"): + with pytest.raises(ValueError, match="cannot assign mismatch"): s.replace({np.nan: ['dummy', 'alt']}) def test_replace_mixed_types(self): @@ -205,7 +205,7 @@ def test_replace_bool_with_bool(self): def test_replace_with_dict_with_bool_keys(self): s = pd.Series([True, False, True]) - with tm.assert_raises_regex(TypeError, 'Cannot compare types .+'): + with pytest.raises(TypeError, match='Cannot compare types .+'): s.replace({'asdf': 'asdb', True: 'yes'}) def test_replace2(self): diff --git a/pandas/tests/series/test_timeseries.py b/pandas/tests/series/test_timeseries.py index 21f80f181c34d..1681255f7e6bd 100644 --- a/pandas/tests/series/test_timeseries.py +++ b/pandas/tests/series/test_timeseries.py @@ -248,14 +248,16 @@ def test_truncate_nonsortedindex(self): s = pd.Series(['a', 'b', 'c', 'd', 'e'], index=[5, 3, 2, 9, 0]) - with tm.assert_raises_regex(ValueError, - 'truncate requires a sorted index'): + msg = 'truncate requires a sorted index' + + with pytest.raises(ValueError, match=msg): s.truncate(before=3, after=9) rng = pd.date_range('2011-01-01', '2012-01-01', freq='W') ts = pd.Series(np.random.randn(len(rng)), index=rng) - with tm.assert_raises_regex(ValueError, - 'truncate requires a sorted index'): + msg = 'truncate requires a sorted index' + + with pytest.raises(ValueError, match=msg): ts.sort_values(ascending=False).truncate(before='2011-11', after='2011-12') diff --git a/pandas/tests/series/test_timezones.py b/pandas/tests/series/test_timezones.py index 3c9701758f12c..bdf5944cab408 100644 --- a/pandas/tests/series/test_timezones.py +++ b/pandas/tests/series/test_timezones.py @@ -31,8 +31,9 @@ def test_series_tz_localize(self): # Can't localize if already tz-aware rng = date_range('1/1/2011', periods=100, freq='H', tz='utc') ts = Series(1, index=rng) - tm.assert_raises_regex(TypeError, 'Already tz-aware', - ts.tz_localize, 'US/Eastern') + + with pytest.raises(TypeError, match='Already tz-aware'): + ts.tz_localize('US/Eastern') @pytest.mark.filterwarnings('ignore::FutureWarning') def test_tz_localize_errors_deprecation(self): @@ -123,8 +124,9 @@ def test_series_tz_convert(self): # can't convert tz-naive rng = date_range('1/1/2011', periods=200, freq='D') ts = Series(1, index=rng) - tm.assert_raises_regex(TypeError, "Cannot convert tz-naive", - ts.tz_convert, 'US/Eastern') + + with pytest.raises(TypeError, match="Cannot convert tz-naive"): + ts.tz_convert('US/Eastern') def test_series_tz_convert_to_utc(self): base = DatetimeIndex(['2011-01-01', '2011-01-02', '2011-01-03'], diff --git a/pandas/tests/series/test_validate.py b/pandas/tests/series/test_validate.py index a6cbb058dbc9d..8f7c16f2c3132 100644 --- a/pandas/tests/series/test_validate.py +++ b/pandas/tests/series/test_validate.py @@ -1,7 +1,5 @@ import pytest -import pandas.util.testing as tm - class TestSeriesValidate(object): """Tests for error handling related to data types of method arguments.""" @@ -17,5 +15,5 @@ def test_validate_bool_args(self, string_series, func, inplace): if func == "_set_name": kwargs["name"] = "hello" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): getattr(string_series, func)(**kwargs) diff --git a/pandas/tests/sparse/frame/test_frame.py b/pandas/tests/sparse/frame/test_frame.py index 10074a2e5ad99..dd73ec69c3b9a 100644 --- a/pandas/tests/sparse/frame/test_frame.py +++ b/pandas/tests/sparse/frame/test_frame.py @@ -152,10 +152,10 @@ def test_constructor_ndarray(self, float_frame): level=1) # wrong length index / columns - with tm.assert_raises_regex(ValueError, "^Index length"): + with pytest.raises(ValueError, match="^Index length"): SparseDataFrame(float_frame.values, index=float_frame.index[:-1]) - with tm.assert_raises_regex(ValueError, "^Column length"): + with pytest.raises(ValueError, match="^Column length"): SparseDataFrame(float_frame.values, columns=float_frame.columns[:-1]) @@ -638,7 +638,7 @@ def test_set_index(self, float_frame): def test_ctor_reindex(self): idx = pd.Index([0, 1, 2, 3]) - with tm.assert_raises_regex(ValueError, ''): + with pytest.raises(ValueError, match=''): pd.SparseDataFrame({"A": [1, 2]}, index=idx) def test_append(self, float_frame): @@ -870,8 +870,7 @@ def test_join(self, float_frame): right = float_frame.loc[:, ['B', 'D']] pytest.raises(Exception, left.join, right) - with tm.assert_raises_regex(ValueError, - 'Other Series must have a name'): + with pytest.raises(ValueError, match='Other Series must have a name'): float_frame.join(Series( np.random.randn(len(float_frame)), index=float_frame.index)) @@ -1130,7 +1129,8 @@ def test_numpy_transpose(self): tm.assert_sp_frame_equal(result, sdf) msg = "the 'axes' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.transpose, sdf, axes=1) + with pytest.raises(ValueError, match=msg): + np.transpose(sdf, axes=1) def test_combine_first(self, float_frame): df = float_frame @@ -1300,12 +1300,12 @@ def test_numpy_cumsum(self, float_frame): tm.assert_sp_frame_equal(result, expected) msg = "the 'dtype' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.cumsum, - float_frame, dtype=np.int64) + with pytest.raises(ValueError, match=msg): + np.cumsum(float_frame, dtype=np.int64) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.cumsum, - float_frame, out=result) + with pytest.raises(ValueError, match=msg): + np.cumsum(float_frame, out=result) def test_numpy_func_call(self, float_frame): # no exception should be raised even though diff --git a/pandas/tests/sparse/series/test_series.py b/pandas/tests/sparse/series/test_series.py index 6a5821519866e..9c7dbd85edcbb 100644 --- a/pandas/tests/sparse/series/test_series.py +++ b/pandas/tests/sparse/series/test_series.py @@ -553,12 +553,12 @@ def test_numpy_take(self): np.take(sp.to_dense(), indices, axis=0)) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.take, - sp, indices, out=np.empty(sp.shape)) + with pytest.raises(ValueError, match=msg): + np.take(sp, indices, out=np.empty(sp.shape)) msg = "the 'mode' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.take, - sp, indices, out=None, mode='clip') + with pytest.raises(ValueError, match=msg): + np.take(sp, indices, out=None, mode='clip') def test_setitem(self): self.bseries[5] = 7. @@ -776,9 +776,9 @@ def _check_all(values, first, second): first_series = SparseSeries(values1, sparse_index=IntIndex(length, index1), fill_value=nan) - with tm.assert_raises_regex(TypeError, - 'new index must be a SparseIndex'): - reindexed = first_series.sparse_reindex(0) # noqa + with pytest.raises(TypeError, + match='new index must be a SparseIndex'): + first_series.sparse_reindex(0) def test_repr(self): # TODO: These aren't used @@ -870,7 +870,7 @@ def _check_matches(indices, expected): # must have NaN fill value data = {'a': SparseSeries(np.arange(7), sparse_index=expected2, fill_value=0)} - with tm.assert_raises_regex(TypeError, "NaN fill value"): + with pytest.raises(TypeError, match="NaN fill value"): spf.homogenize(data) def test_fill_value_corner(self): @@ -1444,7 +1444,7 @@ def test_cumsum(self): axis = 1 # Series is 1-D, so only axis = 0 is valid. msg = "No axis named {axis}".format(axis=axis) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): self.bseries.cumsum(axis=axis) def test_numpy_cumsum(self): @@ -1457,12 +1457,12 @@ def test_numpy_cumsum(self): tm.assert_series_equal(result, expected) msg = "the 'dtype' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.cumsum, - self.bseries, dtype=np.int64) + with pytest.raises(ValueError, match=msg): + np.cumsum(self.bseries, dtype=np.int64) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.cumsum, - self.zbseries, out=result) + with pytest.raises(ValueError, match=msg): + np.cumsum(self.zbseries, out=result) def test_numpy_func_call(self): # no exception should be raised even though @@ -1520,7 +1520,7 @@ def test_to_sparse(): def test_constructor_mismatched_raises(): msg = "Length of passed values is 2, index implies 3" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): SparseSeries([1, 2], index=[1, 2, 3]) diff --git a/pandas/tests/sparse/test_indexing.py b/pandas/tests/sparse/test_indexing.py index 1ecb1f4e8de58..fb10473ec78a8 100644 --- a/pandas/tests/sparse/test_indexing.py +++ b/pandas/tests/sparse/test_indexing.py @@ -451,7 +451,7 @@ def tests_indexing_with_sparse(self, kind, fill): msg = ("iLocation based boolean indexing cannot " "use an indexable as a mask") - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): s.iloc[indexer] diff --git a/pandas/tests/test_algos.py b/pandas/tests/test_algos.py index d491df587fb4a..3642c4ee98a9e 100644 --- a/pandas/tests/test_algos.py +++ b/pandas/tests/test_algos.py @@ -1328,7 +1328,7 @@ def test_vector_resize(self, writable, htable, uniques, dtype, if safely_resizes: htable.get_labels(vals, uniques, 0, -1) else: - with tm.assert_raises_regex(ValueError, 'external reference.*'): + with pytest.raises(ValueError, match='external reference.*'): htable.get_labels(vals, uniques, 0, -1) uniques.to_array() # should not raise here @@ -1459,7 +1459,7 @@ def test_too_many_ndims(self): arr = np.array([[[1, 2, 3], [4, 5, 6], [7, 8, 9]]]) msg = "Array with ndim > 2 are not supported" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): algos.rank(arr) @@ -1664,27 +1664,27 @@ def test_int64_add_overflow(): m = np.iinfo(np.int64).max n = np.iinfo(np.int64).min - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): algos.checked_add_with_arr(np.array([m, m]), m) - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): algos.checked_add_with_arr(np.array([m, m]), np.array([m, m])) - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): algos.checked_add_with_arr(np.array([n, n]), n) - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): algos.checked_add_with_arr(np.array([n, n]), np.array([n, n])) - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): algos.checked_add_with_arr(np.array([m, n]), np.array([n, n])) - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), arr_mask=np.array([False, True])) - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), b_mask=np.array([False, True])) - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), arr_mask=np.array([False, True]), b_mask=np.array([False, True])) - with tm.assert_raises_regex(OverflowError, msg): + with pytest.raises(OverflowError, match=msg): with tm.assert_produces_warning(RuntimeWarning): algos.checked_add_with_arr(np.array([m, m]), np.array([np.nan, m])) @@ -1692,19 +1692,13 @@ def test_int64_add_overflow(): # Check that the nan boolean arrays override whether or not # the addition overflows. We don't check the result but just # the fact that an OverflowError is not raised. - with pytest.raises(AssertionError): - with tm.assert_raises_regex(OverflowError, msg): - algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), - arr_mask=np.array([True, True])) - with pytest.raises(AssertionError): - with tm.assert_raises_regex(OverflowError, msg): - algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), - b_mask=np.array([True, True])) - with pytest.raises(AssertionError): - with tm.assert_raises_regex(OverflowError, msg): - algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), - arr_mask=np.array([True, False]), - b_mask=np.array([False, True])) + algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), + arr_mask=np.array([True, True])) + algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), + b_mask=np.array([True, True])) + algos.checked_add_with_arr(np.array([m, m]), np.array([m, m]), + arr_mask=np.array([True, False]), + b_mask=np.array([False, True])) class TestMode(object): diff --git a/pandas/tests/test_base.py b/pandas/tests/test_base.py index 07d357b70f94b..084477d8202b1 100644 --- a/pandas/tests/test_base.py +++ b/pandas/tests/test_base.py @@ -47,9 +47,9 @@ class CheckImmutable(object): mutable_regex = re.compile('does not support mutable operations') def check_mutable_error(self, *args, **kwargs): - # Pass whatever function you normally would to assert_raises_regex + # Pass whatever function you normally would to pytest.raises # (after the Exception kind). - tm.assert_raises_regex( + pytest.raises( TypeError, self.mutable_regex, *args, **kwargs) def test_no_mutable_funcs(self): @@ -848,9 +848,9 @@ def test_duplicated_drop_duplicates_index(self): result = idx.drop_duplicates(keep=False) tm.assert_index_equal(result, idx[~expected]) - with tm.assert_raises_regex( - TypeError, r"drop_duplicates\(\) got an unexpected " - "keyword argument"): + with pytest.raises(TypeError, + match=(r"drop_duplicates\(\) got an " + r"unexpected keyword argument")): idx.drop_duplicates(inplace=True) else: @@ -1036,10 +1036,10 @@ def test_transpose(self): def test_transpose_non_default_axes(self): for obj in self.objs: - tm.assert_raises_regex(ValueError, self.errmsg, - obj.transpose, 1) - tm.assert_raises_regex(ValueError, self.errmsg, - obj.transpose, axes=1) + with pytest.raises(ValueError, match=self.errmsg): + obj.transpose(1) + with pytest.raises(ValueError, match=self.errmsg): + obj.transpose(axes=1) def test_numpy_transpose(self): for obj in self.objs: @@ -1048,8 +1048,8 @@ def test_numpy_transpose(self): else: tm.assert_series_equal(np.transpose(obj), obj) - tm.assert_raises_regex(ValueError, self.errmsg, - np.transpose, obj, axes=1) + with pytest.raises(ValueError, match=self.errmsg): + np.transpose(obj, axes=1) class TestNoNewAttributesMixin(object): diff --git a/pandas/tests/test_errors.py b/pandas/tests/test_errors.py index fbc0faa4c929a..c5ea69b5ec46f 100644 --- a/pandas/tests/test_errors.py +++ b/pandas/tests/test_errors.py @@ -4,7 +4,6 @@ import pandas # noqa import pandas as pd from pandas.errors import AbstractMethodError -import pandas.util.testing as tm @pytest.mark.parametrize( @@ -62,13 +61,13 @@ def method(self): def test_AbstractMethodError_classmethod(): xpr = "This classmethod must be defined in the concrete class Foo" - with tm.assert_raises_regex(AbstractMethodError, xpr): + with pytest.raises(AbstractMethodError, match=xpr): Foo.classmethod() xpr = "This property must be defined in the concrete class Foo" - with tm.assert_raises_regex(AbstractMethodError, xpr): + with pytest.raises(AbstractMethodError, match=xpr): Foo().property xpr = "This method must be defined in the concrete class Foo" - with tm.assert_raises_regex(AbstractMethodError, xpr): + with pytest.raises(AbstractMethodError, match=xpr): Foo().method() diff --git a/pandas/tests/test_expressions.py b/pandas/tests/test_expressions.py index a7b9bf9c9a351..4a61ce930cbab 100644 --- a/pandas/tests/test_expressions.py +++ b/pandas/tests/test_expressions.py @@ -379,22 +379,22 @@ def test_bool_ops_raise_on_arithmetic(self): f = getattr(operator, name) err_msg = re.escape(msg % op) - with tm.assert_raises_regex(NotImplementedError, err_msg): + with pytest.raises(NotImplementedError, match=err_msg): f(df, df) - with tm.assert_raises_regex(NotImplementedError, err_msg): + with pytest.raises(NotImplementedError, match=err_msg): f(df.a, df.b) - with tm.assert_raises_regex(NotImplementedError, err_msg): + with pytest.raises(NotImplementedError, match=err_msg): f(df.a, True) - with tm.assert_raises_regex(NotImplementedError, err_msg): + with pytest.raises(NotImplementedError, match=err_msg): f(False, df.a) - with tm.assert_raises_regex(NotImplementedError, err_msg): + with pytest.raises(NotImplementedError, match=err_msg): f(False, df) - with tm.assert_raises_regex(NotImplementedError, err_msg): + with pytest.raises(NotImplementedError, match=err_msg): f(df, True) def test_bool_ops_warn_on_arithmetic(self): diff --git a/pandas/tests/test_multilevel.py b/pandas/tests/test_multilevel.py index 9829c04ea108f..2717b92e05a29 100644 --- a/pandas/tests/test_multilevel.py +++ b/pandas/tests/test_multilevel.py @@ -325,7 +325,7 @@ def test_frame_getitem_setitem_boolean(self): np.putmask(values[:-1], values[:-1] < 0, 2) tm.assert_almost_equal(df.values, values) - with tm.assert_raises_regex(TypeError, 'boolean values only'): + with pytest.raises(TypeError, match='boolean values only'): df[df * 0] = 2 def test_frame_getitem_setitem_slice(self): @@ -772,8 +772,8 @@ def _check_counts(frame, axis=0): # can't call with level on regular DataFrame df = tm.makeTimeDataFrame() - tm.assert_raises_regex( - TypeError, 'hierarchical', df.count, level=0) + with pytest.raises(TypeError, match='hierarchical'): + df.count(level=0) self.frame['D'] = 'foo' result = self.frame.count(level=0, numeric_only=True) @@ -809,10 +809,9 @@ def test_count_level_corner(self): tm.assert_frame_equal(result, expected) def test_get_level_number_out_of_bounds(self): - with tm.assert_raises_regex(IndexError, "Too many levels"): + with pytest.raises(IndexError, match="Too many levels"): self.frame.index._get_level_number(2) - with tm.assert_raises_regex(IndexError, - "not a valid level number"): + with pytest.raises(IndexError, match="not a valid level number"): self.frame.index._get_level_number(-3) def test_unstack(self): @@ -1029,17 +1028,16 @@ def test_stack_names_and_numbers(self): unstacked = self.ymd.unstack(['year', 'month']) # Can't use mixture of names and numbers to stack - with tm.assert_raises_regex(ValueError, "level should contain"): + with pytest.raises(ValueError, match="level should contain"): unstacked.stack([0, 'month']) def test_stack_multiple_out_of_bounds(self): # nlevels == 3 unstacked = self.ymd.unstack(['year', 'month']) - with tm.assert_raises_regex(IndexError, "Too many levels"): + with pytest.raises(IndexError, match="Too many levels"): unstacked.stack([2, 3]) - with tm.assert_raises_regex(IndexError, - "not a valid level number"): + with pytest.raises(IndexError, match="not a valid level number"): unstacked.stack([-4, -3]) def test_unstack_period_series(self): @@ -1327,10 +1325,10 @@ def test_reorder_levels(self): expected = self.ymd.T.swaplevel(0, 1, axis=1).swaplevel(1, 2, axis=1) tm.assert_frame_equal(result, expected) - with tm.assert_raises_regex(TypeError, 'hierarchical axis'): + with pytest.raises(TypeError, match='hierarchical axis'): self.ymd.reorder_levels([1, 2], axis=1) - with tm.assert_raises_regex(IndexError, 'Too many levels'): + with pytest.raises(IndexError, match='Too many levels'): self.ymd.index.reorder_levels([1, 2, 3]) def test_insert_index(self): @@ -2351,9 +2349,9 @@ def test_reset_index_multiindex_columns(self): tm.assert_frame_equal(result, df) # gh-16120: already existing column - with tm.assert_raises_regex(ValueError, - (r"cannot insert \('A', ''\), " - "already exists")): + with pytest.raises(ValueError, + match=(r"cannot insert \('A', ''\), " + "already exists")): df.rename_axis('A').reset_index() # gh-16164: multiindex (tuple) full key @@ -2368,9 +2366,9 @@ def test_reset_index_multiindex_columns(self): tm.assert_frame_equal(result, expected) # with index name which is a too long tuple... - with tm.assert_raises_regex(ValueError, - ("Item must have length equal to number " - "of levels.")): + with pytest.raises(ValueError, + match=("Item must have length equal " + "to number of levels.")): df.rename_axis([('C', 'c', 'i')]).reset_index() # or too short... @@ -2384,9 +2382,9 @@ def test_reset_index_multiindex_columns(self): tm.assert_frame_equal(result, expected) # ... which is incompatible with col_fill=None - with tm.assert_raises_regex(ValueError, - ("col_fill=None is incompatible with " - r"incomplete column name \('C', 'c'\)")): + with pytest.raises(ValueError, + match=("col_fill=None is incompatible with " + r"incomplete column name \('C', 'c'\)")): df2.rename_axis([('C', 'c')]).reset_index(col_fill=None) # with col_level != 0 diff --git a/pandas/tests/test_panel.py b/pandas/tests/test_panel.py index 775fcc2684f42..bc644071e914f 100644 --- a/pandas/tests/test_panel.py +++ b/pandas/tests/test_panel.py @@ -177,8 +177,8 @@ def wrapper(x): # Unimplemented numeric_only parameter. if 'numeric_only' in signature(f).args: - tm.assert_raises_regex(NotImplementedError, name, f, - numeric_only=True) + with pytest.raises(NotImplementedError, match=name): + f(numeric_only=True) @pytest.mark.filterwarnings("ignore:\\nPanel:FutureWarning") @@ -221,10 +221,10 @@ def test_get_axis_number(self): assert self.panel._get_axis_number('major') == 1 assert self.panel._get_axis_number('minor') == 2 - with tm.assert_raises_regex(ValueError, "No axis named foo"): + with pytest.raises(ValueError, match="No axis named foo"): self.panel._get_axis_number('foo') - with tm.assert_raises_regex(ValueError, "No axis named foo"): + with pytest.raises(ValueError, match="No axis named foo"): self.panel.__ge__(self.panel, axis='foo') def test_get_axis_name(self): @@ -502,10 +502,9 @@ def test_setitem(self): # bad shape p = Panel(np.random.randn(4, 3, 2)) - with tm.assert_raises_regex(ValueError, - r"shape of value must be " - r"\(3, 2\), shape of given " - r"object was \(4, 2\)"): + msg = (r"shape of value must be \(3, 2\), " + r"shape of given object was \(4, 2\)") + with pytest.raises(ValueError, match=msg): p[0] = np.random.randn(4, 2) def test_setitem_ndarray(self): @@ -853,9 +852,8 @@ def test_get_value(self): assert_almost_equal(result, expected) with catch_warnings(): simplefilter("ignore", FutureWarning) - with tm.assert_raises_regex(TypeError, - "There must be an argument " - "for each axis"): + msg = "There must be an argument for each axis" + with pytest.raises(TypeError, match=msg): self.panel.get_value('a') def test_set_value(self): @@ -880,7 +878,7 @@ def test_set_value(self): msg = ("There must be an argument for each " "axis plus the value provided") - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): self.panel.set_value('a') @@ -1015,7 +1013,8 @@ def _check_dtype(panel, dtype): _check_dtype(panel, dtype) def test_constructor_fails_with_not_3d_input(self): - with tm.assert_raises_regex(ValueError, "The number of dimensions required is 3"): # noqa + msg = "The number of dimensions required is 3" + with pytest.raises(ValueError, match=msg): Panel(np.random.randn(10, 2)) def test_consolidate(self): @@ -1144,36 +1143,24 @@ def test_from_dict_mixed_orient(self): assert panel['A'].values.dtype == np.float64 def test_constructor_error_msgs(self): - def testit(): + msg = (r"Shape of passed values is \(3, 4, 5\), " + r"indices imply \(4, 5, 5\)") + with pytest.raises(ValueError, match=msg): Panel(np.random.randn(3, 4, 5), lrange(4), lrange(5), lrange(5)) - tm.assert_raises_regex(ValueError, - r"Shape of passed values is " - r"\(3, 4, 5\), indices imply " - r"\(4, 5, 5\)", - testit) - - def testit(): + msg = (r"Shape of passed values is \(3, 4, 5\), " + r"indices imply \(5, 4, 5\)") + with pytest.raises(ValueError, match=msg): Panel(np.random.randn(3, 4, 5), lrange(5), lrange(4), lrange(5)) - tm.assert_raises_regex(ValueError, - r"Shape of passed values is " - r"\(3, 4, 5\), indices imply " - r"\(5, 4, 5\)", - testit) - - def testit(): + msg = (r"Shape of passed values is \(3, 4, 5\), " + r"indices imply \(5, 5, 4\)") + with pytest.raises(ValueError, match=msg): Panel(np.random.randn(3, 4, 5), lrange(5), lrange(5), lrange(4)) - tm.assert_raises_regex(ValueError, - r"Shape of passed values is " - r"\(3, 4, 5\), indices imply " - r"\(5, 5, 4\)", - testit) - def test_conform(self): df = self.panel['ItemA'][:-5].filter(items=['A', 'B']) conformed = self.panel.conform(df) @@ -1634,12 +1621,12 @@ def test_transpose(self): assert_panel_equal(result, expected) # duplicate axes - with tm.assert_raises_regex(TypeError, - 'not enough/duplicate arguments'): + with pytest.raises(TypeError, + match='not enough/duplicate arguments'): self.panel.transpose('minor', maj='major', minor='items') - with tm.assert_raises_regex(ValueError, - 'repeated axis in transpose'): + with pytest.raises(ValueError, + match='repeated axis in transpose'): self.panel.transpose('minor', 'major', major='minor', minor='items') @@ -1833,8 +1820,9 @@ def test_to_panel_duplicates(self): # #2441 df = DataFrame({'a': [0, 0, 1], 'b': [1, 1, 1], 'c': [1, 2, 3]}) idf = df.set_index(['a', 'b']) - tm.assert_raises_regex( - ValueError, 'non-uniquely indexed', idf.to_panel) + + with pytest.raises(ValueError, match='non-uniquely indexed'): + idf.to_panel() def test_panel_dups(self): @@ -1954,8 +1942,8 @@ def test_tshift(self): shifted3 = ps.tshift(freq=BDay()) assert_panel_equal(shifted, shifted3) - tm.assert_raises_regex(ValueError, 'does not match', - ps.tshift, freq='M') + with pytest.raises(ValueError, match='does not match'): + ps.tshift(freq='M') # DatetimeIndex panel = make_test_panel() @@ -2067,7 +2055,8 @@ def test_numpy_round(self): assert_panel_equal(expected, result) msg = "the 'out' parameter is not supported" - tm.assert_raises_regex(ValueError, msg, np.round, p, out=p) + with pytest.raises(ValueError, match=msg): + np.round(p, out=p) # removing Panel before NumPy enforces, so just ignore @pytest.mark.filterwarnings("ignore:Using a non-tuple:FutureWarning") @@ -2493,8 +2482,8 @@ def test_to_string(self): def test_to_sparse(self): if isinstance(self.panel, Panel): msg = 'sparsifying is not supported' - tm.assert_raises_regex(NotImplementedError, msg, - self.panel.to_sparse) + with pytest.raises(NotImplementedError, match=msg): + self.panel.to_sparse def test_truncate(self): dates = self.panel.index.levels[0] diff --git a/pandas/tests/test_register_accessor.py b/pandas/tests/test_register_accessor.py index 33b9798b7606a..acc18ed7ad049 100644 --- a/pandas/tests/test_register_accessor.py +++ b/pandas/tests/test_register_accessor.py @@ -85,5 +85,5 @@ class Bad(object): def __init__(self, data): raise AttributeError("whoops") - with tm.assert_raises_regex(AttributeError, "whoops"): + with pytest.raises(AttributeError, match="whoops"): pd.Series([]).bad diff --git a/pandas/tests/test_resample.py b/pandas/tests/test_resample.py index ed29e20fd5ca5..756385f0cfb56 100644 --- a/pandas/tests/test_resample.py +++ b/pandas/tests/test_resample.py @@ -158,7 +158,7 @@ def test_select_bad_cols(self): pytest.raises(KeyError, g.__getitem__, ['D']) pytest.raises(KeyError, g.__getitem__, ['A', 'D']) - with tm.assert_raises_regex(KeyError, '^[^A]+$'): + with pytest.raises(KeyError, match='^[^A]+$'): # A should not be referenced as a bad column... # will have to rethink regex if you change message! g[['A', 'D']] @@ -940,11 +940,10 @@ def test_numpy_compat(self): for func in ('min', 'max', 'sum', 'prod', 'mean', 'var', 'std'): - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(r, func), - func, 1, 2, 3) - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(r, func), axis=1) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(r, func)(func, 1, 2, 3) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(r, func)(axis=1) def test_resample_how_callables(self): # GH 7929 @@ -3308,11 +3307,10 @@ def test_fails_on_no_datetime_index(self): for name, func in zip(index_names, index_funcs): index = func(n) df = DataFrame({'a': np.random.randn(n)}, index=index) - with tm.assert_raises_regex(TypeError, - "Only valid with " - "DatetimeIndex, TimedeltaIndex " - "or PeriodIndex, but got an " - "instance of %r" % name): + + msg = ("Only valid with DatetimeIndex, TimedeltaIndex " + "or PeriodIndex, but got an instance of %r" % name) + with pytest.raises(TypeError, match=msg): df.groupby(TimeGrouper('D')) def test_aaa_group_order(self): diff --git a/pandas/tests/test_sorting.py b/pandas/tests/test_sorting.py index aa5d0016eca95..22e758a0e59a7 100644 --- a/pandas/tests/test_sorting.py +++ b/pandas/tests/test_sorting.py @@ -423,14 +423,14 @@ def test_unsortable(self): pytest.raises(TypeError, safe_sort, arr) def test_exceptions(self): - with tm.assert_raises_regex(TypeError, - "Only list-like objects are allowed"): + with pytest.raises(TypeError, + match="Only list-like objects are allowed"): safe_sort(values=1) - with tm.assert_raises_regex(TypeError, - "Only list-like objects or None"): + with pytest.raises(TypeError, + match="Only list-like objects or None"): safe_sort(values=[0, 1, 2], labels=1) - with tm.assert_raises_regex(ValueError, - "values should be unique"): + with pytest.raises(ValueError, + match="values should be unique"): safe_sort(values=[0, 1, 2, 1], labels=[0, 1]) diff --git a/pandas/tests/test_strings.py b/pandas/tests/test_strings.py index f0873eb7683e9..7cd9182b4dff4 100644 --- a/pandas/tests/test_strings.py +++ b/pandas/tests/test_strings.py @@ -36,8 +36,7 @@ def test_api(self): # GH 9184 invalid = Series([1]) - with tm.assert_raises_regex(AttributeError, - "only use .str accessor"): + with pytest.raises(AttributeError, match="only use .str accessor"): invalid.str assert not hasattr(invalid, 'str') @@ -143,13 +142,13 @@ def test_str_cat(self, box): rgx = 'All arrays must be same length, except those having an index.*' z = Series(['1', '2', '3']) - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat(z) - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat(z.values) - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat(list(z)) @pytest.mark.parametrize('box', [Series, Index]) @@ -157,9 +156,9 @@ def test_str_cat_raises_intuitive_error(self, box): # GH 11334 s = box(['a', 'b', 'c', 'd']) message = "Did you mean to supply a `sep` keyword?" - with tm.assert_raises_regex(ValueError, message): + with pytest.raises(ValueError, match=message): s.str.cat('|') - with tm.assert_raises_regex(ValueError, message): + with pytest.raises(ValueError, match=message): s.str.cat(' ') @pytest.mark.parametrize('sep', ['', None]) @@ -262,23 +261,23 @@ def test_str_cat_mixed_inputs(self, box): e = concat([z, z], axis=1) # DataFrame - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat(e) # two-dimensional ndarray - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat(e.values) # list of Series - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat([z, s]) # list of list-likes - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat([z.values, s.values]) # mixed list of Series/list-like - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat([z.values, s]) # errors for incorrect arguments in list-like @@ -287,33 +286,33 @@ def test_str_cat_mixed_inputs(self, box): u = Series(['a', np.nan, 'c', None]) # mix of string and Series - with tm.assert_raises_regex(TypeError, rgx): + with pytest.raises(TypeError, match=rgx): s.str.cat([u, 'u']) # DataFrame in list - with tm.assert_raises_regex(TypeError, rgx): + with pytest.raises(TypeError, match=rgx): s.str.cat([u, d]) # 2-dim ndarray in list - with tm.assert_raises_regex(TypeError, rgx): + with pytest.raises(TypeError, match=rgx): s.str.cat([u, d.values]) # nested lists - with tm.assert_raises_regex(TypeError, rgx): + with pytest.raises(TypeError, match=rgx): s.str.cat([u, [u, d]]) # forbidden input type: set # GH 23009 - with tm.assert_raises_regex(TypeError, rgx): + with pytest.raises(TypeError, match=rgx): s.str.cat(set(u)) # forbidden input type: set in list # GH 23009 - with tm.assert_raises_regex(TypeError, rgx): + with pytest.raises(TypeError, match=rgx): s.str.cat([u, set(u)]) # other forbidden input type, e.g. int - with tm.assert_raises_regex(TypeError, rgx): + with pytest.raises(TypeError, match=rgx): s.str.cat(1) @pytest.mark.parametrize('join', ['left', 'outer', 'inner', 'right']) @@ -371,17 +370,17 @@ def test_str_cat_align_mixed_inputs(self, join): z = Series(['1', '2', '3']).values # unindexed object of wrong length - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat(z, join=join) # unindexed object of wrong length in list - with tm.assert_raises_regex(ValueError, rgx): + with pytest.raises(ValueError, match=rgx): s.str.cat([t, z], join=join) def test_str_cat_raises(self): # non-strings hiding behind object dtype s = Series([1, 2, 3, 4], dtype='object') - with tm.assert_raises_regex(TypeError, "unsupported operand type.*"): + with pytest.raises(TypeError, match="unsupported operand type.*"): s.str.cat(s) def test_str_cat_special_cases(self): @@ -739,15 +738,15 @@ def test_replace_callable(self): r'(?(3)required )positional arguments?') repl = lambda: None - with tm.assert_raises_regex(TypeError, p_err): + with pytest.raises(TypeError, match=p_err): values.str.replace('a', repl) repl = lambda m, x: None - with tm.assert_raises_regex(TypeError, p_err): + with pytest.raises(TypeError, match=p_err): values.str.replace('a', repl) repl = lambda m, x, y=None: None - with tm.assert_raises_regex(TypeError, p_err): + with pytest.raises(TypeError, match=p_err): values.str.replace('a', repl) # test regex named groups @@ -800,16 +799,16 @@ def test_replace_compiled_regex(self): values = Series(['fooBAD__barBAD__bad', NA]) pat = re.compile(r'BAD[_]*') - with tm.assert_raises_regex(ValueError, - "case and flags cannot be"): + with pytest.raises(ValueError, + match="case and flags cannot be"): result = values.str.replace(pat, '', flags=re.IGNORECASE) - with tm.assert_raises_regex(ValueError, - "case and flags cannot be"): + with pytest.raises(ValueError, + match="case and flags cannot be"): result = values.str.replace(pat, '', case=False) - with tm.assert_raises_regex(ValueError, - "case and flags cannot be"): + with pytest.raises(ValueError, + match="case and flags cannot be"): result = values.str.replace(pat, '', case=True) # test with callable @@ -908,8 +907,8 @@ def test_match(self): def test_extract_expand_None(self): values = Series(['fooBAD__barBAD', NA, 'foo']) - with tm.assert_raises_regex(ValueError, - 'expand must be True or False'): + with pytest.raises(ValueError, + match='expand must be True or False'): values.str.extract('.*(BAD[_]+).*(BAD)', expand=None) def test_extract_expand_unspecified(self): @@ -948,7 +947,7 @@ def test_extract_expand_False(self): # Index only works with one regex group since # multi-group would expand to a frame idx = Index(['A1', 'A2', 'A3', 'A4', 'B5']) - with tm.assert_raises_regex(ValueError, "supported"): + with pytest.raises(ValueError, match="supported"): idx.str.extract('([AB])([123])', expand=False) # these should work for both Series and Index @@ -1446,7 +1445,7 @@ def test_extractall_errors(self): # no capture groups. (it returns DataFrame with one column for # each capture group) s = Series(['a3', 'b3', 'd4c2'], name='series_name') - with tm.assert_raises_regex(ValueError, "no capture groups"): + with pytest.raises(ValueError, match="no capture groups"): s.str.extractall(r'[a-z]') def test_extract_index_one_two_groups(self): @@ -1817,12 +1816,12 @@ def test_find(self): dtype=np.int64) tm.assert_numpy_array_equal(result.values, expected) - with tm.assert_raises_regex(TypeError, - "expected a string object, not int"): + with pytest.raises(TypeError, + match="expected a string object, not int"): result = values.str.find(0) - with tm.assert_raises_regex(TypeError, - "expected a string object, not int"): + with pytest.raises(TypeError, + match="expected a string object, not int"): result = values.str.rfind(0) def test_find_nan(self): @@ -1892,13 +1891,11 @@ def _check(result, expected): dtype=np.int64) tm.assert_numpy_array_equal(result.values, expected) - with tm.assert_raises_regex(ValueError, - "substring not found"): + with pytest.raises(ValueError, match="substring not found"): result = s.str.index('DE') - with tm.assert_raises_regex(TypeError, - "expected a string " - "object, not int"): + msg = "expected a string object, not int" + with pytest.raises(TypeError, match=msg): result = s.str.index(0) # test with nan @@ -1982,25 +1979,22 @@ def test_pad_fillchar(self): exp = Series(['XXaXX', 'XXbXX', NA, 'XXcXX', NA, 'eeeeee']) tm.assert_almost_equal(result, exp) - with tm.assert_raises_regex(TypeError, - "fillchar must be a " - "character, not str"): + msg = "fillchar must be a character, not str" + with pytest.raises(TypeError, match=msg): result = values.str.pad(5, fillchar='XY') - with tm.assert_raises_regex(TypeError, - "fillchar must be a " - "character, not int"): + msg = "fillchar must be a character, not int" + with pytest.raises(TypeError, match=msg): result = values.str.pad(5, fillchar=5) - def test_pad_width(self): - # GH 13598 + @pytest.mark.parametrize("f", ['center', 'ljust', 'rjust', 'zfill', 'pad']) + def test_pad_width(self, f): + # see gh-13598 s = Series(['1', '22', 'a', 'bb']) + msg = "width must be of integer type, not*" - for f in ['center', 'ljust', 'rjust', 'zfill', 'pad']: - with tm.assert_raises_regex(TypeError, - "width must be of " - "integer type, not*"): - getattr(s.str, f)('f') + with pytest.raises(TypeError, match=msg): + getattr(s.str, f)('f') def test_translate(self): @@ -2031,8 +2025,8 @@ def _check(result, expected): expected = klass(['abcde', 'abcc', 'cddd', 'cde']) _check(result, expected) else: - with tm.assert_raises_regex( - ValueError, "deletechars is not a valid argument"): + msg = "deletechars is not a valid argument" + with pytest.raises(ValueError, match=msg): result = s.str.translate(table, deletechars='fg') # Series with non-string values @@ -2120,35 +2114,25 @@ def test_center_ljust_rjust_fillchar(self): # If fillchar is not a charatter, normal str raises TypeError # 'aaa'.ljust(5, 'XY') # TypeError: must be char, not str - with tm.assert_raises_regex(TypeError, - "fillchar must be a " - "character, not str"): - result = values.str.center(5, fillchar='XY') - - with tm.assert_raises_regex(TypeError, - "fillchar must be a " - "character, not str"): - result = values.str.ljust(5, fillchar='XY') - - with tm.assert_raises_regex(TypeError, - "fillchar must be a " - "character, not str"): - result = values.str.rjust(5, fillchar='XY') - - with tm.assert_raises_regex(TypeError, - "fillchar must be a " - "character, not int"): - result = values.str.center(5, fillchar=1) - - with tm.assert_raises_regex(TypeError, - "fillchar must be a " - "character, not int"): - result = values.str.ljust(5, fillchar=1) - - with tm.assert_raises_regex(TypeError, - "fillchar must be a " - "character, not int"): - result = values.str.rjust(5, fillchar=1) + template = "fillchar must be a character, not {dtype}" + + with pytest.raises(TypeError, match=template.format(dtype="str")): + values.str.center(5, fillchar='XY') + + with pytest.raises(TypeError, match=template.format(dtype="str")): + values.str.ljust(5, fillchar='XY') + + with pytest.raises(TypeError, match=template.format(dtype="str")): + values.str.rjust(5, fillchar='XY') + + with pytest.raises(TypeError, match=template.format(dtype="int")): + values.str.center(5, fillchar=1) + + with pytest.raises(TypeError, match=template.format(dtype="int")): + values.str.ljust(5, fillchar=1) + + with pytest.raises(TypeError, match=template.format(dtype="int")): + values.str.rjust(5, fillchar=1) def test_zfill(self): values = Series(['1', '22', 'aaa', '333', '45678']) @@ -2342,7 +2326,7 @@ def test_split_to_dataframe(self): index=['preserve', 'me']) tm.assert_frame_equal(result, exp) - with tm.assert_raises_regex(ValueError, "expand must be"): + with pytest.raises(ValueError, match="expand must be"): s.str.split('_', expand="not_a_boolean") def test_split_to_multiindex_expand(self): @@ -2367,7 +2351,7 @@ def test_split_to_multiindex_expand(self): tm.assert_index_equal(result, exp) assert result.nlevels == 6 - with tm.assert_raises_regex(ValueError, "expand must be"): + with pytest.raises(ValueError, match="expand must be"): idx.str.split('_', expand="not_a_boolean") def test_rsplit_to_dataframe_expand(self): @@ -3038,8 +3022,7 @@ def test_normalize(self): result = s.str.normalize('NFC') tm.assert_series_equal(result, expected) - with tm.assert_raises_regex(ValueError, - "invalid normalization form"): + with pytest.raises(ValueError, match="invalid normalization form"): s.str.normalize('xxx') s = Index([u'ＡＢＣ', u'１２３', u'ｱｲｴ']) @@ -3082,9 +3065,9 @@ def test_index_str_accessor_visibility(self): for values, tp in cases: idx = Index(values) message = 'Can only use .str accessor with string values' - with tm.assert_raises_regex(AttributeError, message): + with pytest.raises(AttributeError, match=message): Series(values).str - with tm.assert_raises_regex(AttributeError, message): + with pytest.raises(AttributeError, match=message): idx.str assert idx.inferred_type == tp @@ -3092,14 +3075,14 @@ def test_index_str_accessor_visibility(self): idx = MultiIndex.from_tuples([('a', 'b'), ('a', 'b')]) assert idx.inferred_type == 'mixed' message = 'Can only use .str accessor with Index, not MultiIndex' - with tm.assert_raises_regex(AttributeError, message): + with pytest.raises(AttributeError, match=message): idx.str def test_str_accessor_no_new_attributes(self): # https://github.com/pandas-dev/pandas/issues/10673 s = Series(list('aabbcde')) - with tm.assert_raises_regex(AttributeError, - "You cannot add any new attribute"): + with pytest.raises(AttributeError, + match="You cannot add any new attribute"): s.str.xlabel = "a" def test_method_on_bytes(self): diff --git a/pandas/tests/test_take.py b/pandas/tests/test_take.py index ade847923c083..69150ee3c5454 100644 --- a/pandas/tests/test_take.py +++ b/pandas/tests/test_take.py @@ -90,7 +90,7 @@ def test_1d_with_out(self, dtype_can_hold_na, writeable): expected[3] = np.nan tm.assert_almost_equal(out, expected) else: - with tm.assert_raises_regex(TypeError, self.fill_error): + with pytest.raises(TypeError, match=self.fill_error): algos.take_1d(data, indexer, out=out) # No Exception otherwise. @@ -146,8 +146,7 @@ def test_2d_with_out(self, dtype_can_hold_na, writeable): tm.assert_almost_equal(out1, expected1) else: for i, out in enumerate([out0, out1]): - with tm.assert_raises_regex(TypeError, - self.fill_error): + with pytest.raises(TypeError, match=self.fill_error): algos.take_nd(data, indexer, out=out, axis=i) # No Exception otherwise. @@ -226,8 +225,7 @@ def test_3d_with_out(self, dtype_can_hold_na): tm.assert_almost_equal(out2, expected2) else: for i, out in enumerate([out0, out1, out2]): - with tm.assert_raises_regex(TypeError, - self.fill_error): + with pytest.raises(TypeError, match=self.fill_error): algos.take_nd(data, indexer, out=out, axis=i) # No Exception otherwise. diff --git a/pandas/tests/test_window.py b/pandas/tests/test_window.py index c7cd04deac6c8..31ea5c11f5bd1 100644 --- a/pandas/tests/test_window.py +++ b/pandas/tests/test_window.py @@ -90,7 +90,7 @@ def test_select_bad_cols(self): pytest.raises(KeyError, g.__getitem__, ['C']) # g[['C']] pytest.raises(KeyError, g.__getitem__, ['A', 'C']) # g[['A', 'C']] - with tm.assert_raises_regex(KeyError, '^[^A]+$'): + with pytest.raises(KeyError, match='^[^A]+$'): # A should not be referenced as a bad column... # will have to rethink regex if you change message! g[['A', 'C']] @@ -116,7 +116,7 @@ def test_skip_sum_object_raises(self): df = DataFrame({'A': range(5), 'B': range(5, 10), 'C': 'foo'}) r = df.rolling(window=3) - with tm.assert_raises_regex(TypeError, 'cannot handle this type'): + with pytest.raises(TypeError, match='cannot handle this type'): r.sum() def test_agg(self): @@ -410,10 +410,10 @@ def test_numpy_compat(self, method): msg = "numpy operations are not valid with window objects" - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(w, method), 1, 2, 3) - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(w, method), dtype=np.float64) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(w, method)(1, 2, 3) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(w, method)(dtype=np.float64) class TestRolling(Base): @@ -507,10 +507,10 @@ def test_numpy_compat(self, method): msg = "numpy operations are not valid with window objects" - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(r, method), 1, 2, 3) - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(r, method), dtype=np.float64) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(r, method)(1, 2, 3) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(r, method)(dtype=np.float64) def test_closed(self): df = DataFrame({'A': [0, 1, 2, 3, 4]}) @@ -686,10 +686,10 @@ def test_numpy_compat(self, method): msg = "numpy operations are not valid with window objects" - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(e, method), 1, 2, 3) - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(e, method), dtype=np.float64) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(e, method)(1, 2, 3) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(e, method)(dtype=np.float64) @pytest.mark.parametrize( 'expander', @@ -812,10 +812,10 @@ def test_numpy_compat(self, method): msg = "numpy operations are not valid with window objects" - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(e, method), 1, 2, 3) - tm.assert_raises_regex(UnsupportedFunctionCall, msg, - getattr(e, method), dtype=np.float64) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(e, method)(1, 2, 3) + with pytest.raises(UnsupportedFunctionCall, match=msg): + getattr(e, method)(dtype=np.float64) # gh-12373 : rolling functions error on float32 data @@ -1999,12 +1999,12 @@ def test_no_pairwise_with_other(self, f): tm.assert_index_equal(result.index, expected_index) tm.assert_index_equal(result.columns, expected_columns) else: - tm.assert_raises_regex( - ValueError, "'arg1' columns are not unique", f, df, - self.df2) - tm.assert_raises_regex( - ValueError, "'arg2' columns are not unique", f, - self.df2, df) + with pytest.raises(ValueError, + match="'arg1' columns are not unique"): + f(df, self.df2) + with pytest.raises(ValueError, + match="'arg2' columns are not unique"): + f(self.df2, df) @pytest.mark.parametrize( 'f', [lambda x, y: x.expanding().cov(y), diff --git a/pandas/tests/tools/test_numeric.py b/pandas/tests/tools/test_numeric.py index 43c7d0951bf6c..a0a1364f4617e 100644 --- a/pandas/tests/tools/test_numeric.py +++ b/pandas/tests/tools/test_numeric.py @@ -54,7 +54,7 @@ def test_series_numeric(self): def test_error(self): s = pd.Series([1, -3.14, 'apple']) msg = 'Unable to parse string "apple" at position 2' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): to_numeric(s, errors='raise') res = to_numeric(s, errors='ignore') @@ -67,13 +67,13 @@ def test_error(self): s = pd.Series(['orange', 1, -3.14, 'apple']) msg = 'Unable to parse string "orange" at position 0' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): to_numeric(s, errors='raise') def test_error_seen_bool(self): s = pd.Series([True, False, 'apple']) msg = 'Unable to parse string "apple" at position 2' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): to_numeric(s, errors='raise') res = to_numeric(s, errors='ignore') @@ -166,7 +166,7 @@ def test_type_check(self, errors): # see gh-11776 df = pd.DataFrame({"a": [1, -3.14, 7], "b": ["4", "5", "6"]}) kwargs = dict(errors=errors) if errors is not None else dict() - error_ctx = tm.assert_raises_regex(TypeError, "1-d array") + error_ctx = pytest.raises(TypeError, match="1-d array") with error_ctx: to_numeric(df, **kwargs) @@ -269,7 +269,7 @@ def test_non_hashable(self): res = pd.to_numeric(s, errors='ignore') tm.assert_series_equal(res, pd.Series([[10.0, 2], 1.0, 'apple'])) - with tm.assert_raises_regex(TypeError, "Invalid object type"): + with pytest.raises(TypeError, match="Invalid object type"): pd.to_numeric(s) @pytest.mark.parametrize("data", [ @@ -283,7 +283,7 @@ def test_downcast_basic(self, data): invalid_downcast = "unsigned-integer" msg = "invalid downcasting method provided" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): pd.to_numeric(data, downcast=invalid_downcast) expected = np.array([1, 2, 3], dtype=np.int64) @@ -436,5 +436,5 @@ def test_coerce_uint64_conflict(self): tm.assert_series_equal(result, s) msg = "Unable to parse string" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): to_numeric(s, errors="raise") diff --git a/pandas/tests/tseries/offsets/test_fiscal.py b/pandas/tests/tseries/offsets/test_fiscal.py index 223298dc42544..2f17a61917320 100644 --- a/pandas/tests/tseries/offsets/test_fiscal.py +++ b/pandas/tests/tseries/offsets/test_fiscal.py @@ -7,8 +7,6 @@ from dateutil.relativedelta import relativedelta import pytest -import pandas.util.testing as tm - from pandas import Timestamp from pandas.tseries.frequencies import get_offset from pandas._libs.tslibs.frequencies import INVALID_FREQ_ERR_MSG @@ -44,9 +42,9 @@ def test_get_offset_name(): def test_get_offset(): - with tm.assert_raises_regex(ValueError, INVALID_FREQ_ERR_MSG): + with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG): get_offset('gibberish') - with tm.assert_raises_regex(ValueError, INVALID_FREQ_ERR_MSG): + with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG): get_offset('QS-JAN-B') pairs = [ diff --git a/pandas/tests/tseries/test_frequencies.py b/pandas/tests/tseries/test_frequencies.py index f90c8e449f92c..a8def56aa06d4 100644 --- a/pandas/tests/tseries/test_frequencies.py +++ b/pandas/tests/tseries/test_frequencies.py @@ -105,8 +105,7 @@ def test_to_offset_multiple(self): assert (result == expected) # malformed - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: 2h20m'): + with pytest.raises(ValueError, match='Invalid frequency: 2h20m'): frequencies.to_offset('2h20m') def test_to_offset_negative(self): @@ -128,23 +127,17 @@ def test_to_offset_negative(self): def test_to_offset_invalid(self): # GH 13930 - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: U1'): + with pytest.raises(ValueError, match='Invalid frequency: U1'): frequencies.to_offset('U1') - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: -U'): + with pytest.raises(ValueError, match='Invalid frequency: -U'): frequencies.to_offset('-U') - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: 3U1'): + with pytest.raises(ValueError, match='Invalid frequency: 3U1'): frequencies.to_offset('3U1') - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: -2-3U'): + with pytest.raises(ValueError, match='Invalid frequency: -2-3U'): frequencies.to_offset('-2-3U') - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: -2D:3H'): + with pytest.raises(ValueError, match='Invalid frequency: -2D:3H'): frequencies.to_offset('-2D:3H') - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: 1.5.0S'): + with pytest.raises(ValueError, match='Invalid frequency: 1.5.0S'): frequencies.to_offset('1.5.0S') # split offsets with spaces are valid @@ -157,11 +150,9 @@ def test_to_offset_invalid(self): # special cases assert frequencies.to_offset('2SMS-15') == offsets.SemiMonthBegin(2) - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: 2SMS-15-15'): + with pytest.raises(ValueError, match='Invalid frequency: 2SMS-15-15'): frequencies.to_offset('2SMS-15-15') - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: 2SMS-15D'): + with pytest.raises(ValueError, match='Invalid frequency: 2SMS-15D'): frequencies.to_offset('2SMS-15D') def test_to_offset_leading_zero(self): @@ -183,7 +174,7 @@ def test_to_offset_leading_plus(self): assert (result.n == 150) for bad_freq in ['+-1d', '-+1h', '+1', '-7', '+d', '-m']: - with tm.assert_raises_regex(ValueError, 'Invalid frequency:'): + with pytest.raises(ValueError, match='Invalid frequency:'): frequencies.to_offset(bad_freq) def test_to_offset_pd_timedelta(self): @@ -270,8 +261,7 @@ def test_anchored_shortcuts(self): 'SMS-BAR', 'SMS-BYR' 'BSMS', 'SMS--2'] for invalid_anchor in invalid_anchors: - with tm.assert_raises_regex(ValueError, - 'Invalid frequency: '): + with pytest.raises(ValueError, match='Invalid frequency: '): frequencies.to_offset(invalid_anchor) @@ -464,13 +454,13 @@ def test_frequency_misc(self): expected = offsets.Minute(5) assert result == expected - with tm.assert_raises_regex(ValueError, 'Invalid frequency'): + with pytest.raises(ValueError, match='Invalid frequency'): frequencies.get_freq_code((5, 'baz')) - with tm.assert_raises_regex(ValueError, 'Invalid frequency'): + with pytest.raises(ValueError, match='Invalid frequency'): frequencies.to_offset('100foo') - with tm.assert_raises_regex(ValueError, 'Could not evaluate'): + with pytest.raises(ValueError, match='Could not evaluate'): frequencies.to_offset(('', '')) @@ -799,8 +789,8 @@ def test_legacy_offset_warnings(self): msg = INVALID_FREQ_ERR_MSG for freq in freqs: - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): frequencies.get_offset(freq) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): date_range('2011-01-01', periods=5, freq=freq) diff --git a/pandas/tests/tslibs/test_libfrequencies.py b/pandas/tests/tslibs/test_libfrequencies.py index f4083dfb2bd1c..18840fe1fd9b9 100644 --- a/pandas/tests/tslibs/test_libfrequencies.py +++ b/pandas/tests/tslibs/test_libfrequencies.py @@ -1,6 +1,6 @@ # -*- coding: utf-8 -*- -import pandas.util.testing as tm +import pytest from pandas.tseries import offsets from pandas._libs.tslibs.frequencies import (get_rule_month, @@ -14,7 +14,7 @@ def assert_aliases_deprecated(freq, expected, aliases): assert (_period_str_to_code(freq) == expected) for alias in aliases: - with tm.assert_raises_regex(ValueError, INVALID_FREQ_ERR_MSG): + with pytest.raises(ValueError, match=INVALID_FREQ_ERR_MSG): _period_str_to_code(alias) diff --git a/pandas/tests/tslibs/test_parsing.py b/pandas/tests/tslibs/test_parsing.py index 466a22e5916e9..2762fb9cbe000 100644 --- a/pandas/tests/tslibs/test_parsing.py +++ b/pandas/tests/tslibs/test_parsing.py @@ -60,13 +60,13 @@ def test_does_not_convert_mixed_integer(self): def test_parsers_quarterly_with_freq(self): msg = ('Incorrect quarterly string is given, quarter ' 'must be between 1 and 4: 2013Q5') - with tm.assert_raises_regex(parsing.DateParseError, msg): + with pytest.raises(parsing.DateParseError, match=msg): parsing.parse_time_string('2013Q5') # GH 5418 msg = ('Unable to retrieve month information from given freq: ' 'INVLD-L-DEC-SAT') - with tm.assert_raises_regex(parsing.DateParseError, msg): + with pytest.raises(parsing.DateParseError, match=msg): parsing.parse_time_string('2013Q1', freq='INVLD-L-DEC-SAT') cases = {('2013Q2', None): datetime(2013, 4, 1), diff --git a/pandas/tests/util/test_hashing.py b/pandas/tests/util/test_hashing.py index 11dd2e98adda2..9f5b4f7b90d9f 100644 --- a/pandas/tests/util/test_hashing.py +++ b/pandas/tests/util/test_hashing.py @@ -47,7 +47,7 @@ def test_hash_array_mixed(self): @pytest.mark.parametrize('val', [5, 'foo', pd.Timestamp('20130101')]) def test_hash_array_errors(self, val): msg = 'must pass a ndarray-like' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): hash_array(val) def check_equal(self, obj, **kwargs): @@ -104,7 +104,7 @@ def test_hash_scalar(self, val): @pytest.mark.parametrize('val', [5, 'foo', pd.Timestamp('20130101')]) def test_hash_tuples_err(self, val): msg = 'must be convertible to a list-of-tuples' - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): hash_tuples(val) def test_multiindex_unique(self): @@ -238,7 +238,7 @@ def test_hash_keys(self): def test_invalid_key(self): # this only matters for object dtypes msg = 'key should be a 16-byte string encoded' - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): hash_pandas_object(Series(list('abc')), hash_key='foo') def test_alread_encoded(self): diff --git a/pandas/tests/util/test_testing.py b/pandas/tests/util/test_testing.py index c10ad72d39f8e..a886579ee913f 100644 --- a/pandas/tests/util/test_testing.py +++ b/pandas/tests/util/test_testing.py @@ -6,6 +6,7 @@ import numpy as np import pytest +from pandas.compat import raise_with_traceback import pandas.util._test_decorators as td import pandas as pd @@ -13,7 +14,7 @@ import pandas.util.testing as tm from pandas.util.testing import ( RNGContext, assert_almost_equal, assert_frame_equal, assert_index_equal, - assert_numpy_array_equal, assert_series_equal, raise_with_traceback) + assert_numpy_array_equal, assert_series_equal) class TestAssertAlmostEqual(object): @@ -152,13 +153,13 @@ def test_assert_almost_equal_object(self): class TestUtilTesting(object): def test_raise_with_traceback(self): - with tm.assert_raises_regex(LookupError, "error_text"): + with pytest.raises(LookupError, match="error_text"): try: raise ValueError("THIS IS AN ERROR") except ValueError as e: e = LookupError("error_text") raise_with_traceback(e) - with tm.assert_raises_regex(LookupError, "error_text"): + with pytest.raises(LookupError, match="error_text"): try: raise ValueError("This is another error") except ValueError: @@ -189,18 +190,18 @@ def test_numpy_array_equal_message(self): \\[left\\]: \\(2,\\) \\[right\\]: \\(3,\\)""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(np.array([1, 2]), np.array([3, 4, 5])) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(np.array([1, 2]), np.array([3, 4, 5])) # scalar comparison expected = """Expected type """ - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(1, 2) expected = """expected 2\\.00000 but got 1\\.00000, with decimal 5""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(1, 2) # array / scalar array comparison @@ -210,10 +211,10 @@ def test_numpy_array_equal_message(self): \\[left\\]: ndarray \\[right\\]: int""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): # numpy_array_equal only accepts np.ndarray assert_numpy_array_equal(np.array([1]), 1) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(np.array([1]), 1) # scalar / array comparison @@ -223,9 +224,9 @@ def test_numpy_array_equal_message(self): \\[left\\]: int \\[right\\]: ndarray""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(1, np.array([1])) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(1, np.array([1])) expected = """numpy array are different @@ -234,10 +235,10 @@ def test_numpy_array_equal_message(self): \\[left\\]: \\[nan, 2\\.0, 3\\.0\\] \\[right\\]: \\[1\\.0, nan, 3\\.0\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(np.array([np.nan, 2, 3]), np.array([1, np.nan, 3])) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(np.array([np.nan, 2, 3]), np.array([1, np.nan, 3])) @@ -247,9 +248,9 @@ def test_numpy_array_equal_message(self): \\[left\\]: \\[1, 2\\] \\[right\\]: \\[1, 3\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(np.array([1, 2]), np.array([1, 3])) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(np.array([1, 2]), np.array([1, 3])) expected = """numpy array are different @@ -258,7 +259,7 @@ def test_numpy_array_equal_message(self): \\[left\\]: \\[1\\.1, 2\\.000001\\] \\[right\\]: \\[1\\.1, 2.0\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal( np.array([1.1, 2.000001]), np.array([1.1, 2.0])) @@ -271,10 +272,10 @@ def test_numpy_array_equal_message(self): \\[left\\]: \\[\\[1, 2\\], \\[3, 4\\], \\[5, 6\\]\\] \\[right\\]: \\[\\[1, 3\\], \\[3, 4\\], \\[5, 6\\]\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(np.array([[1, 2], [3, 4], [5, 6]]), np.array([[1, 3], [3, 4], [5, 6]])) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(np.array([[1, 2], [3, 4], [5, 6]]), np.array([[1, 3], [3, 4], [5, 6]])) @@ -284,10 +285,10 @@ def test_numpy_array_equal_message(self): \\[left\\]: \\[\\[1, 2\\], \\[3, 4\\]\\] \\[right\\]: \\[\\[1, 3\\], \\[3, 4\\]\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(np.array([[1, 2], [3, 4]]), np.array([[1, 3], [3, 4]])) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(np.array([[1, 2], [3, 4]]), np.array([[1, 3], [3, 4]])) @@ -298,10 +299,10 @@ def test_numpy_array_equal_message(self): \\[left\\]: \\(2,\\) \\[right\\]: \\(3,\\)""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(np.array([1, 2]), np.array([3, 4, 5]), obj='Index') - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(np.array([1, 2]), np.array([3, 4, 5]), obj='Index') @@ -316,10 +317,10 @@ def test_numpy_array_equal_unicode_message(self): \\[left\\]: \\[á, à, ä\\] \\[right\\]: \\[á, à, å\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(np.array([u'á', u'à', u'ä']), np.array([u'á', u'à', u'å'])) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(np.array([u'á', u'à', u'ä']), np.array([u'á', u'à', u'å'])) @@ -335,9 +336,9 @@ def test_numpy_array_equal_object_message(self): \\[left\\]: \\[2011-01-01 00:00:00, 2011-01-01 00:00:00\\] \\[right\\]: \\[2011-01-01 00:00:00, 2011-01-02 00:00:00\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(a, b) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal(a, b) def test_numpy_array_equal_copy_flag(self): @@ -345,10 +346,10 @@ def test_numpy_array_equal_copy_flag(self): b = a.copy() c = a.view() expected = r'array\(\[1, 2, 3\]\) is not array\(\[1, 2, 3\]\)' - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(a, b, check_same='same') expected = r'array\(\[1, 2, 3\]\) is array\(\[1, 2, 3\]\)' - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_numpy_array_equal(a, c, check_same='copy') def test_assert_almost_equal_iterable_message(self): @@ -359,7 +360,7 @@ def test_assert_almost_equal_iterable_message(self): \\[left\\]: 2 \\[right\\]: 3""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal([1, 2], [3, 4, 5]) expected = """Iterable are different @@ -368,7 +369,7 @@ def test_assert_almost_equal_iterable_message(self): \\[left\\]: \\[1, 2\\] \\[right\\]: \\[1, 3\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_almost_equal([1, 2], [1, 3]) @@ -386,7 +387,7 @@ def test_index_equal_message(self): idx1 = pd.Index([1, 2, 3]) idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ('B', 3), ('B', 4)]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2, exact=False) expected = """MultiIndex level \\[1\\] are different @@ -399,9 +400,9 @@ def test_index_equal_message(self): ('B', 3), ('B', 4)]) idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ('B', 3), ('B', 4)]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2, check_exact=False) expected = """Index are different @@ -412,9 +413,9 @@ def test_index_equal_message(self): idx1 = pd.Index([1, 2, 3]) idx2 = pd.Index([1, 2, 3, 4]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2, check_exact=False) expected = """Index are different @@ -425,9 +426,9 @@ def test_index_equal_message(self): idx1 = pd.Index([1, 2, 3]) idx2 = pd.Index([1, 2, 3.0]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2, exact=True) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2, exact=True, check_exact=False) expected = """Index are different @@ -438,7 +439,7 @@ def test_index_equal_message(self): idx1 = pd.Index([1, 2, 3.]) idx2 = pd.Index([1, 2, 3.0000000001]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2) # must success @@ -452,9 +453,9 @@ def test_index_equal_message(self): idx1 = pd.Index([1, 2, 3.]) idx2 = pd.Index([1, 2, 3.0001]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2, check_exact=False) # must success assert_index_equal(idx1, idx2, check_exact=False, @@ -468,9 +469,9 @@ def test_index_equal_message(self): idx1 = pd.Index([1, 2, 3]) idx2 = pd.Index([1, 2, 4]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2, check_less_precise=True) expected = """MultiIndex level \\[1\\] are different @@ -483,9 +484,9 @@ def test_index_equal_message(self): ('B', 3), ('B', 4)]) idx2 = pd.MultiIndex.from_tuples([('A', 1), ('A', 2), ('B', 3), ('B', 4)]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2, check_exact=False) def test_index_equal_metadata_message(self): @@ -498,7 +499,7 @@ def test_index_equal_metadata_message(self): idx1 = pd.Index([1, 2, 3]) idx2 = pd.Index([1, 2, 3], name='x') - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2) # same name, should pass @@ -515,7 +516,7 @@ def test_index_equal_metadata_message(self): idx1 = pd.Index([1, 2, 3], name=np.nan) idx2 = pd.Index([1, 2, 3], name=pd.NaT) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(idx1, idx2) def test_categorical_index_equality(self): @@ -526,7 +527,7 @@ def test_categorical_index_equality(self): \\[right\\]: CategoricalDtype\\(categories=\\[u?'a', u?'b', u?'c'\\], \ ordered=False\\)""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_index_equal(pd.Index(pd.Categorical(['a', 'b'])), pd.Index(pd.Categorical(['a', 'b'], categories=['a', 'b', 'c']))) @@ -619,7 +620,7 @@ def test_series_equal_message(self): \\[left\\]: 3, RangeIndex\\(start=0, stop=3, step=1\\) \\[right\\]: 4, RangeIndex\\(start=0, stop=4, step=1\\)""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_series_equal(pd.Series([1, 2, 3]), pd.Series([1, 2, 3, 4])) expected = """Series are different @@ -628,9 +629,9 @@ def test_series_equal_message(self): \\[left\\]: \\[1, 2, 3\\] \\[right\\]: \\[1, 2, 4\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_series_equal(pd.Series([1, 2, 3]), pd.Series([1, 2, 4])) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_series_equal(pd.Series([1, 2, 3]), pd.Series([1, 2, 4]), check_less_precise=True) @@ -642,7 +643,7 @@ def test_categorical_series_equality(self): \\[right\\]: CategoricalDtype\\(categories=\\[u?'a', u?'b', u?'c'\\], \ ordered=False\\)""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_series_equal(pd.Series(pd.Categorical(['a', 'b'])), pd.Series(pd.Categorical(['a', 'b'], categories=['a', 'b', 'c']))) @@ -709,7 +710,7 @@ def test_frame_equal_message(self): \\[left\\]: \\(3, 2\\) \\[right\\]: \\(3, 1\\)""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}), pd.DataFrame({'A': [1, 2, 3]})) @@ -719,7 +720,7 @@ def test_frame_equal_message(self): \\[left\\]: Index\\(\\[u?'a', u?'b', u?'c'\\], dtype='object'\\) \\[right\\]: Index\\(\\[u?'a', u?'b', u?'d'\\], dtype='object'\\)""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, index=['a', 'b', 'c']), pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, @@ -731,7 +732,7 @@ def test_frame_equal_message(self): \\[left\\]: Index\\(\\[u?'A', u?'B'\\], dtype='object'\\) \\[right\\]: Index\\(\\[u?'A', u?'b'\\], dtype='object'\\)""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}, index=['a', 'b', 'c']), pd.DataFrame({'A': [1, 2, 3], 'b': [4, 5, 6]}, @@ -743,11 +744,11 @@ def test_frame_equal_message(self): \\[left\\]: \\[4, 5, 6\\] \\[right\\]: \\[4, 5, 7\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}), pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 7]})) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]}), pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 7]}), by_blocks=True) @@ -763,13 +764,13 @@ def test_frame_equal_message_unicode(self): \\[left\\]: \\[é, è, ë\\] \\[right\\]: \\[é, è, e̊\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [u'á', u'à', u'ä'], 'E': [u'é', u'è', u'ë']}), pd.DataFrame({'A': [u'á', u'à', u'ä'], 'E': [u'é', u'è', u'e̊']})) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [u'á', u'à', u'ä'], 'E': [u'é', u'è', u'ë']}), pd.DataFrame({'A': [u'á', u'à', u'ä'], @@ -782,13 +783,13 @@ def test_frame_equal_message_unicode(self): \\[left\\]: \\[á, à, ä\\] \\[right\\]: \\[a, a, a\\]""" - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [u'á', u'à', u'ä'], 'E': [u'é', u'è', u'ë']}), pd.DataFrame({'A': ['a', 'a', 'a'], 'E': ['e', 'e', 'e']})) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): assert_frame_equal(pd.DataFrame({'A': [u'á', u'à', u'ä'], 'E': [u'é', u'è', u'ë']}), pd.DataFrame({'A': ['a', 'a', 'a'], @@ -808,7 +809,7 @@ def test_categorical_equal_message(self): a = pd.Categorical([1, 2, 3, 4]) b = pd.Categorical([1, 2, 3, 5]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): tm.assert_categorical_equal(a, b) expected = """Categorical\\.codes are different @@ -819,7 +820,7 @@ def test_categorical_equal_message(self): a = pd.Categorical([1, 2, 4, 3], categories=[1, 2, 3, 4]) b = pd.Categorical([1, 2, 3, 4], categories=[1, 2, 3, 4]) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): tm.assert_categorical_equal(a, b) expected = """Categorical are different @@ -830,7 +831,7 @@ def test_categorical_equal_message(self): a = pd.Categorical([1, 2, 3, 4], ordered=False) b = pd.Categorical([1, 2, 3, 4], ordered=True) - with tm.assert_raises_regex(AssertionError, expected): + with pytest.raises(AssertionError, match=expected): tm.assert_categorical_equal(a, b) @@ -845,7 +846,7 @@ def test_interval_array_equal_message(self): IntervalArray.left values are different \\(100.0 %\\) \\[left\\]: Int64Index\\(\\[0, 1, 2, 3\\], dtype='int64'\\) \\[right\\]: Int64Index\\(\\[1, 2, 3, 4\\], dtype='int64'\\)""") - with tm.assert_raises_regex(AssertionError, msg): + with pytest.raises(AssertionError, match=msg): tm.assert_interval_array_equal(a, b) @@ -883,3 +884,13 @@ def test_create_temp_directory(): assert os.path.exists(path) assert os.path.isdir(path) assert not os.path.exists(path) + + +def test_assert_raises_regex_deprecated(): + # see gh-23592 + + with tm.assert_produces_warning(FutureWarning): + msg = "Not equal!" + + with tm.assert_raises_regex(AssertionError, msg): + assert 1 == 2, msg diff --git a/pandas/tests/util/test_util.py b/pandas/tests/util/test_util.py index 032ee5eb22aaa..a6cb54ee43909 100644 --- a/pandas/tests/util/test_util.py +++ b/pandas/tests/util/test_util.py @@ -108,7 +108,7 @@ class TestValidateArgs(object): def test_bad_min_fname_arg_count(self): msg = "'max_fname_arg_count' must be non-negative" - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): validate_args(self.fname, (None,), -1, 'foo') def test_bad_arg_length_max_value_single(self): @@ -123,7 +123,7 @@ def test_bad_arg_length_max_value_single(self): .format(fname=self.fname, max_length=max_length, actual_length=actual_length)) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): validate_args(self.fname, args, min_fname_arg_count, compat_args) @@ -140,7 +140,7 @@ def test_bad_arg_length_max_value_multiple(self): .format(fname=self.fname, max_length=max_length, actual_length=actual_length)) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): validate_args(self.fname, args, min_fname_arg_count, compat_args) @@ -159,7 +159,7 @@ def test_not_all_defaults(self): arg_vals = (1, -1, 3) for i in range(1, 3): - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): validate_args(self.fname, arg_vals[:i], 2, compat_args) def test_validation(self): @@ -188,7 +188,7 @@ def test_bad_kwarg(self): r"keyword argument '{arg}'".format( fname=self.fname, arg=badarg)) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): validate_kwargs(self.fname, kwargs, compat_args) def test_not_all_none(self): @@ -209,7 +209,7 @@ def test_not_all_none(self): kwargs = dict(zip(kwarg_keys[:i], kwarg_vals[:i])) - with tm.assert_raises_regex(ValueError, msg): + with pytest.raises(ValueError, match=msg): validate_kwargs(self.fname, kwargs, compat_args) def test_validation(self): @@ -228,11 +228,11 @@ def test_validate_bool_kwarg(self): for name in arg_names: for value in invalid_values: - with tm.assert_raises_regex(ValueError, - "For argument \"%s\" " - "expected type bool, " - "received type %s" % - (name, type(value).__name__)): + msg = ("For argument \"%s\" " + "expected type bool, " + "received type %s" % + (name, type(value).__name__)) + with pytest.raises(ValueError, match=msg): validate_bool_kwarg(value, name) for value in valid_values: @@ -255,7 +255,7 @@ def test_invalid_total_length_max_length_one(self): .format(fname=self.fname, max_length=max_length, actual_length=actual_length)) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): validate_args_and_kwargs(self.fname, args, kwargs, min_fname_arg_count, compat_args) @@ -273,7 +273,7 @@ def test_invalid_total_length_max_length_multiple(self): .format(fname=self.fname, max_length=max_length, actual_length=actual_length)) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): validate_args_and_kwargs(self.fname, args, kwargs, min_fname_arg_count, compat_args) @@ -292,17 +292,15 @@ def test_no_args_with_kwargs(self): args = () kwargs = {'foo': -5, bad_arg: 2} - tm.assert_raises_regex(ValueError, msg, - validate_args_and_kwargs, - self.fname, args, kwargs, - min_fname_arg_count, compat_args) + with pytest.raises(ValueError, match=msg): + validate_args_and_kwargs(self.fname, args, kwargs, + min_fname_arg_count, compat_args) args = (-5, 2) kwargs = {} - tm.assert_raises_regex(ValueError, msg, - validate_args_and_kwargs, - self.fname, args, kwargs, - min_fname_arg_count, compat_args) + with pytest.raises(ValueError, match=msg): + validate_args_and_kwargs(self.fname, args, kwargs, + min_fname_arg_count, compat_args) def test_duplicate_argument(self): min_fname_arg_count = 2 @@ -316,7 +314,7 @@ def test_duplicate_argument(self): msg = (r"{fname}\(\) got multiple values for keyword " r"argument '{arg}'".format(fname=self.fname, arg='foo')) - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): validate_args_and_kwargs(self.fname, args, kwargs, min_fname_arg_count, compat_args) @@ -343,7 +341,7 @@ def test_cannot_create_instance_of_stolenbuffer(self): ``move_into_mutable_buffer`` which has a bunch of checks in it. """ msg = "cannot create 'pandas.util._move.stolenbuf' instances" - with tm.assert_raises_regex(TypeError, msg): + with pytest.raises(TypeError, match=msg): stolenbuf() def test_more_than_one_ref(self): diff --git a/pandas/util/testing.py b/pandas/util/testing.py index c6457545038e0..fd7012c87040f 100644 --- a/pandas/util/testing.py +++ b/pandas/util/testing.py @@ -2541,6 +2541,9 @@ def assert_raises_regex(_exception, _regexp, _callable=None, for use by `re.search()`. This is a port of the `assertRaisesRegexp` function from unittest in Python 2.7. + .. deprecated:: 0.24.0 + Use `pytest.raises` instead. + Examples -------- >>> assert_raises_regex(ValueError, 'invalid literal for.*XYZ', int, 'XYZ') @@ -2570,6 +2573,10 @@ def assert_raises_regex(_exception, _regexp, _callable=None, AssertionError: "banana" does not match "'str' object does not support \ item assignment" """ + warnings.warn(("assert_raises_regex has been deprecated and will " + "be removed in the next release. Please use " + "`pytest.raises` instead."), FutureWarning, stacklevel=2) + manager = _AssertRaisesContextmanager(exception=_exception, regexp=_regexp) if _callable is not None: with manager: