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# -*- coding: utf-8 -*- | ||
""" | ||
Tests for DataFrame timezone-related methods | ||
""" | ||
from datetime import datetime | ||
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import pytest | ||
import pytz | ||
import numpy as np | ||
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import pandas.util.testing as tm | ||
from pandas.compat import lrange | ||
from pandas.core.indexes.datetimes import date_range | ||
from pandas.core.dtypes.dtypes import DatetimeTZDtype | ||
from pandas import Series, DataFrame | ||
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class TestDataFrameTimezones(object): | ||
def test_frame_from_records_utc(self): | ||
rec = {'datum': 1.5, | ||
'begin_time': datetime(2006, 4, 27, tzinfo=pytz.utc)} | ||
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# it works | ||
DataFrame.from_records([rec], index='begin_time') | ||
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def test_frame_tz_localize(self): | ||
rng = date_range('1/1/2011', periods=100, freq='H') | ||
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df = DataFrame({'a': 1}, index=rng) | ||
result = df.tz_localize('utc') | ||
expected = DataFrame({'a': 1}, rng.tz_localize('UTC')) | ||
assert result.index.tz.zone == 'UTC' | ||
tm.assert_frame_equal(result, expected) | ||
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df = df.T | ||
result = df.tz_localize('utc', axis=1) | ||
assert result.columns.tz.zone == 'UTC' | ||
tm.assert_frame_equal(result, expected.T) | ||
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def test_frame_tz_convert(self): | ||
rng = date_range('1/1/2011', periods=200, freq='D', tz='US/Eastern') | ||
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df = DataFrame({'a': 1}, index=rng) | ||
result = df.tz_convert('Europe/Berlin') | ||
expected = DataFrame({'a': 1}, rng.tz_convert('Europe/Berlin')) | ||
assert result.index.tz.zone == 'Europe/Berlin' | ||
tm.assert_frame_equal(result, expected) | ||
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df = df.T | ||
result = df.tz_convert('Europe/Berlin', axis=1) | ||
assert result.columns.tz.zone == 'Europe/Berlin' | ||
tm.assert_frame_equal(result, expected.T) | ||
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def test_frame_join_tzaware(self): | ||
test1 = DataFrame(np.zeros((6, 3)), | ||
index=date_range("2012-11-15 00:00:00", periods=6, | ||
freq="100L", tz="US/Central")) | ||
test2 = DataFrame(np.zeros((3, 3)), | ||
index=date_range("2012-11-15 00:00:00", periods=3, | ||
freq="250L", tz="US/Central"), | ||
columns=lrange(3, 6)) | ||
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result = test1.join(test2, how='outer') | ||
ex_index = test1.index.union(test2.index) | ||
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tm.assert_index_equal(result.index, ex_index) | ||
assert result.index.tz.zone == 'US/Central' | ||
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def test_frame_add_tz_mismatch_converts_to_utc(self): | ||
rng = date_range('1/1/2011', periods=10, freq='H', tz='US/Eastern') | ||
df = DataFrame(np.random.randn(len(rng)), index=rng, columns=['a']) | ||
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df_moscow = df.tz_convert('Europe/Moscow') | ||
result = df + df_moscow | ||
assert result.index.tz is pytz.utc | ||
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result = df_moscow + df | ||
assert result.index.tz is pytz.utc | ||
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def test_frame_align_aware(self): | ||
idx1 = date_range('2001', periods=5, freq='H', tz='US/Eastern') | ||
idx2 = date_range('2001', periods=5, freq='2H', tz='US/Eastern') | ||
df1 = DataFrame(np.random.randn(len(idx1), 3), idx1) | ||
df2 = DataFrame(np.random.randn(len(idx2), 3), idx2) | ||
new1, new2 = df1.align(df2) | ||
assert df1.index.tz == new1.index.tz | ||
assert df2.index.tz == new2.index.tz | ||
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# different timezones convert to UTC | ||
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# frame with frame | ||
df1_central = df1.tz_convert('US/Central') | ||
new1, new2 = df1.align(df1_central) | ||
assert new1.index.tz == pytz.UTC | ||
assert new2.index.tz == pytz.UTC | ||
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# frame with Series | ||
new1, new2 = df1.align(df1_central[0], axis=0) | ||
assert new1.index.tz == pytz.UTC | ||
assert new2.index.tz == pytz.UTC | ||
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df1[0].align(df1_central, axis=0) | ||
assert new1.index.tz == pytz.UTC | ||
assert new2.index.tz == pytz.UTC | ||
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@pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern']) | ||
def test_frame_no_datetime64_dtype(self, tz): | ||
# after GH#7822 | ||
# these retain the timezones on dict construction | ||
dr = date_range('2011/1/1', '2012/1/1', freq='W-FRI') | ||
dr_tz = dr.tz_localize(tz) | ||
df = DataFrame({'A': 'foo', 'B': dr_tz}, index=dr) | ||
tz_expected = DatetimeTZDtype('ns', dr_tz.tzinfo) | ||
assert df['B'].dtype == tz_expected | ||
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# GH#2810 (with timezones) | ||
datetimes_naive = [ts.to_pydatetime() for ts in dr] | ||
datetimes_with_tz = [ts.to_pydatetime() for ts in dr_tz] | ||
df = DataFrame({'dr': dr, | ||
'dr_tz': dr_tz, | ||
'datetimes_naive': datetimes_naive, | ||
'datetimes_with_tz': datetimes_with_tz}) | ||
result = df.get_dtype_counts().sort_index() | ||
expected = Series({'datetime64[ns]': 2, | ||
str(tz_expected): 2}).sort_index() | ||
tm.assert_series_equal(result, expected) | ||
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@pytest.mark.parametrize('tz', ['US/Eastern', 'dateutil/US/Eastern']) | ||
def test_frame_reset_index(self, tz): | ||
dr = date_range('2012-06-02', periods=10, tz=tz) | ||
df = DataFrame(np.random.randn(len(dr)), dr) | ||
roundtripped = df.reset_index().set_index('index') | ||
xp = df.index.tz | ||
rs = roundtripped.index.tz | ||
assert xp == rs |
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