CLN: remove np17 compat (#42375)

pandas/__init__.py

@@ -19,10 +19,7 @@
 del hard_dependencies, dependency, missing_dependencies
 
 # numpy compat
-from pandas.compat import (
-    np_version_under1p18 as _np_version_under1p18,
-    is_numpy_dev as _is_numpy_dev,
-)
+from pandas.compat import is_numpy_dev as _is_numpy_dev
 
 try:
     from pandas._libs import hashtable as _hashtable, lib as _lib, tslib as _tslib

pandas/compat/__init__.py

@@ -16,7 +16,6 @@
     is_numpy_dev,
     np_array_datetime64_compat,
     np_datetime64_compat,
-    np_version_under1p18,
     np_version_under1p19,
     np_version_under1p20,
 )
@@ -151,7 +150,6 @@ def get_lzma_file(lzma):
     "is_numpy_dev",
     "np_array_datetime64_compat",
     "np_datetime64_compat",
-    "np_version_under1p18",
     "np_version_under1p19",
     "np_version_under1p20",
     "pa_version_under1p0",

pandas/compat/numpy/__init__.py

@@ -9,7 +9,6 @@
 # numpy versioning
 _np_version = np.__version__
 _nlv = Version(_np_version)
-np_version_under1p18 = _nlv < Version("1.18")
 np_version_under1p19 = _nlv < Version("1.19")
 np_version_under1p20 = _nlv < Version("1.20")
 is_numpy_dev = _nlv.dev is not None

pandas/core/common.py

@@ -35,7 +35,6 @@
     Scalar,
     T,
 )
-from pandas.compat import np_version_under1p18
 
 from pandas.core.dtypes.cast import construct_1d_object_array_from_listlike
 from pandas.core.dtypes.common import (
@@ -433,7 +432,7 @@ def random_state(state: RandomState | None = None):
     if (
         is_integer(state)
         or is_array_like(state)
-        or (not np_version_under1p18 and isinstance(state, np.random.BitGenerator))
+        or isinstance(state, np.random.BitGenerator)
     ):
         # error: Argument 1 to "RandomState" has incompatible type "Optional[Union[int,
         # Union[ExtensionArray, ndarray[Any, Any]], Generator, RandomState]]"; expected

pandas/tests/api/test_api.py

@@ -193,7 +193,6 @@ class TestPDApi(Base):
         "_hashtable",
         "_lib",
         "_libs",
-        "_np_version_under1p18",
         "_is_numpy_dev",
         "_testing",
         "_tslib",

pandas/tests/arrays/test_datetimelike.py

@@ -10,7 +10,6 @@
     OutOfBoundsDatetime,
     Timestamp,
 )
-from pandas.compat import np_version_under1p18
 import pandas.util._test_decorators as td
 
 import pandas as pd
@@ -288,12 +287,7 @@ def test_searchsorted(self):
         # GH#29884 match numpy convention on whether NaT goes
         #  at the end or the beginning
         result = arr.searchsorted(NaT)
-        if np_version_under1p18:
-            # Following numpy convention, NaT goes at the beginning
-            #  (unlike NaN which goes at the end)
-            assert result == 0
-        else:
-            assert result == 10
+        assert result == 10
 
     @pytest.mark.parametrize("box", [None, "index", "series"])
     def test_searchsorted_castable_strings(self, arr1d, box, request, string_storage):
@@ -1244,17 +1238,11 @@ def test_invalid_nat_setitem_array(arr, non_casting_nats):
     ],
 )
 def test_to_numpy_extra(arr):
-    if np_version_under1p18:
-        # np.isnan(NaT) raises, so use pandas'
-        isnan = pd.isna
-    else:
-        isnan = np.isnan
-
     arr[0] = NaT
     original = arr.copy()
 
     result = arr.to_numpy()
-    assert isnan(result[0])
+    assert np.isnan(result[0])
 
     result = arr.to_numpy(dtype="int64")
     assert result[0] == -9223372036854775808

pandas/tests/frame/methods/test_sample.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import np_version_under1p18
-
 from pandas import (
     DataFrame,
     Index,
@@ -161,16 +159,8 @@ def test_sample_none_weights(self, obj):
         "func_str,arg",
         [
             ("np.array", [2, 3, 1, 0]),
-            pytest.param(
-                "np.random.MT19937",
-                3,
-                marks=pytest.mark.skipif(np_version_under1p18, reason="NumPy<1.18"),
-            ),
-            pytest.param(
-                "np.random.PCG64",
-                11,
-                marks=pytest.mark.skipif(np_version_under1p18, reason="NumPy<1.18"),
-            ),
+            ("np.random.MT19937", 3),
+            ("np.random.PCG64", 11),
         ],
     )
     def test_sample_random_state(self, func_str, arg, frame_or_series):

pandas/tests/indexes/period/test_searchsorted.py

@@ -2,7 +2,6 @@
 import pytest
 
 from pandas._libs.tslibs import IncompatibleFrequency
-from pandas.compat import np_version_under1p18
 
 from pandas import (
     NaT,
@@ -28,13 +27,7 @@ def test_searchsorted(self, freq):
         p2 = Period("2014-01-04", freq=freq)
         assert pidx.searchsorted(p2) == 3
 
-        if np_version_under1p18:
-            # GH#36254
-            # Following numpy convention, NaT goes at the beginning
-            #  (unlike NaN which goes at the end)
-            assert pidx.searchsorted(NaT) == 0
-        else:
-            assert pidx.searchsorted(NaT) == 5
+        assert pidx.searchsorted(NaT) == 5
 
         msg = "Input has different freq=H from PeriodArray"
         with pytest.raises(IncompatibleFrequency, match=msg):

pandas/tests/indexes/test_numpy_compat.py

@@ -1,8 +1,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import np_version_under1p18
-
 from pandas import (
     DatetimeIndex,
     Float64Index,
@@ -82,22 +80,12 @@ def test_numpy_ufuncs_other(index, func, request):
             isinstance(index, DatetimeIndex)
             and index.tz is not None
             and func in [np.isfinite, np.isnan, np.isinf]
-            and (
-                not np_version_under1p18
-                or (np_version_under1p18 and func is np.isfinite)
-            )
         ):
             mark = pytest.mark.xfail(reason="__array_ufunc__ is not defined")
             request.node.add_marker(mark)
 
-        if not np_version_under1p18 and func in [np.isfinite, np.isinf, np.isnan]:
-            # numpy 1.18(dev) changed isinf and isnan to not raise on dt64/tfd64
-            result = func(index)
-            assert isinstance(result, np.ndarray)
-
-        elif func is np.isfinite:
-            # ok under numpy >= 1.17
-            # Results in bool array
+        if func in (np.isfinite, np.isinf, np.isnan):
+            # numpy 1.18 changed isinf and isnan to not raise on dt64/tfd64
             result = func(index)
             assert isinstance(result, np.ndarray)
         else:

pandas/tests/test_common.py

@@ -5,8 +5,6 @@
 import numpy as np
 import pytest
 
-from pandas.compat import np_version_under1p18
-
 import pandas as pd
 from pandas import Series
 import pandas._testing as tm
@@ -72,15 +70,14 @@ def test_random_state():
 
     # Check BitGenerators
     # GH32503
-    if not np_version_under1p18:
-        assert (
-            com.random_state(npr.MT19937(3)).uniform()
-            == npr.RandomState(npr.MT19937(3)).uniform()
-        )
-        assert (
-            com.random_state(npr.PCG64(11)).uniform()
-            == npr.RandomState(npr.PCG64(11)).uniform()
-        )
+    assert (
+        com.random_state(npr.MT19937(3)).uniform()
+        == npr.RandomState(npr.MT19937(3)).uniform()
+    )
+    assert (
+        com.random_state(npr.PCG64(11)).uniform()
+        == npr.RandomState(npr.PCG64(11)).uniform()
+    )
 
     # Error for floats or strings
     msg = (