FM / methods

/usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods/

/usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
test_align.py	5359	0644	edit dl rm
test_append.py	9600	0644	edit dl rm
test_argsort.py	2249	0644	edit dl rm
test_asfreq.py	3616	0644	edit dl rm
test_asof.py	5515	0644	edit dl rm
test_astype.py	2628	0644	edit dl rm
test_at_time.py	2629	0644	edit dl rm
test_autocorr.py	999	0644	edit dl rm
test_between.py	1197	0644	edit dl rm
test_between_time.py	5086	0644	edit dl rm
test_clip.py	3384	0644	edit dl rm
test_combine.py	627	0644	edit dl rm
test_combine_first.py	3411	0644	edit dl rm
test_compare.py	3734	0644	edit dl rm
test_convert_dtypes.py	9914	0644	edit dl rm
test_count.py	1123	0644	edit dl rm
test_cov_corr.py	5215	0644	edit dl rm
test_describe.py	4640	0644	edit dl rm
test_diff.py	2331	0644	edit dl rm
test_drop.py	2986	0644	edit dl rm
test_droplevel.py	629	0644	edit dl rm
test_drop_duplicates.py	6850	0644	edit dl rm
test_duplicated.py	996	0644	edit dl rm
test_equals.py	1295	0644	edit dl rm
test_explode.py	3538	0644	edit dl rm
test_fillna.py	6513	0644	edit dl rm
test_first_and_last.py	2042	0644	edit dl rm
test_head_tail.py	343	0644	edit dl rm
test_interpolate.py	27757	0644	edit dl rm
test_isin.py	3445	0644	edit dl rm
test_nlargest.py	7121	0644	edit dl rm
test_pct_change.py	2968	0644	edit dl rm
test_quantile.py	6810	0644	edit dl rm
test_rank.py	20287	0644	edit dl rm
test_reindex_like.py	1245	0644	edit dl rm
test_rename.py	3378	0644	edit dl rm
test_rename_axis.py	1503	0644	edit dl rm
test_replace.py	15559	0644	edit dl rm
test_reset_index.py	4636	0644	edit dl rm
test_round.py	1970	0644	edit dl rm
test_searchsorted.py	2121	0644	edit dl rm
test_shift.py	12595	0644	edit dl rm
test_sort_index.py	12277	0644	edit dl rm
test_sort_values.py	7981	0644	edit dl rm
test_to_dict.py	742	0644	edit dl rm
test_to_period.py	1755	0644	edit dl rm
test_to_timestamp.py	2616	0644	edit dl rm
test_truncate.py	5557	0644	edit dl rm
test_tz_convert.py	1008	0644	edit dl rm
test_tz_localize.py	3108	0644	edit dl rm
test_unstack.py	4208	0644	edit dl rm
test_update.py	4213	0644	edit dl rm
test_value_counts.py	8136	0644	edit dl rm
__init__.py	225	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/series/methods/test_at_time.py (2629B)

from datetime import time

import numpy as np
import pytest

from pandas._libs.tslibs import timezones

from pandas import DataFrame, Series, date_range
import pandas._testing as tm

class TestAtTime:
    @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"])
    def test_localized_at_time(self, tzstr):
        tz = timezones.maybe_get_tz(tzstr)

rng = date_range("4/16/2012", "5/1/2012", freq="H")
        ts = Series(np.random.randn(len(rng)), index=rng)

ts_local = ts.tz_localize(tzstr)

result = ts_local.at_time(time(10, 0))
        expected = ts.at_time(time(10, 0)).tz_localize(tzstr)
        tm.assert_series_equal(result, expected)
        assert timezones.tz_compare(result.index.tz, tz)

def test_at_time(self):
        rng = date_range("1/1/2000", "1/5/2000", freq="5min")
        ts = Series(np.random.randn(len(rng)), index=rng)
        rs = ts.at_time(rng[1])
        assert (rs.index.hour == rng[1].hour).all()
        assert (rs.index.minute == rng[1].minute).all()
        assert (rs.index.second == rng[1].second).all()

result = ts.at_time("9:30")
        expected = ts.at_time(time(9, 30))
        tm.assert_series_equal(result, expected)

df = DataFrame(np.random.randn(len(rng), 3), index=rng)

result = ts[time(9, 30)]
        result_df = df.loc[time(9, 30)]
        expected = ts[(rng.hour == 9) & (rng.minute == 30)]
        exp_df = df[(rng.hour == 9) & (rng.minute == 30)]

result.index = result.index._with_freq(None)
        tm.assert_series_equal(result, expected)
        tm.assert_frame_equal(result_df, exp_df)

chunk = df.loc["1/4/2000":]
        result = chunk.loc[time(9, 30)]
        expected = result_df[-1:]

# Without resetting the freqs, these are 5 min and 1440 min, respectively
        result.index = result.index._with_freq(None)
        expected.index = expected.index._with_freq(None)
        tm.assert_frame_equal(result, expected)

# midnight, everything
        rng = date_range("1/1/2000", "1/31/2000")
        ts = Series(np.random.randn(len(rng)), index=rng)

result = ts.at_time(time(0, 0))
        tm.assert_series_equal(result, ts)

# time doesn't exist
        rng = date_range("1/1/2012", freq="23Min", periods=384)
        ts = Series(np.random.randn(len(rng)), rng)
        rs = ts.at_time("16:00")
        assert len(rs) == 0

def test_at_time_raises(self):
        # GH20725
        ser = Series("a b c".split())
        msg = "Index must be DatetimeIndex"
        with pytest.raises(TypeError, match=msg):
            ser.at_time("00:00")

from datetime import time import numpy as np import pytest from pandas._libs.tslibs import timezones from pandas import DataFrame, Series, date_range import pandas._testing as tm class TestAtTime: @pytest.mark.parametrize("tzstr", ["US/Eastern", "dateutil/US/Eastern"]) def test_localized_at_time(self, tzstr): tz = timezones.maybe_get_tz(tzstr) rng = date_range("4/16/2012", "5/1/2012", freq="H") ts = Series(np.random.randn(len(rng)), index=rng) ts_local = ts.tz_localize(tzstr) result = ts_local.at_time(time(10, 0)) expected = ts.at_time(time(10, 0)).tz_localize(tzstr) tm.assert_series_equal(result, expected) assert timezones.tz_compare(result.index.tz, tz) def test_at_time(self): rng = date_range("1/1/2000", "1/5/2000", freq="5min") ts = Series(np.random.randn(len(rng)), index=rng) rs = ts.at_time(rng[1]) assert (rs.index.hour == rng[1].hour).all() assert (rs.index.minute == rng[1].minute).all() assert (rs.index.second == rng[1].second).all() result = ts.at_time("9:30") expected = ts.at_time(time(9, 30)) tm.assert_series_equal(result, expected) df = DataFrame(np.random.randn(len(rng), 3), index=rng) result = ts[time(9, 30)] result_df = df.loc[time(9, 30)] expected = ts[(rng.hour == 9) & (rng.minute == 30)] exp_df = df[(rng.hour == 9) & (rng.minute == 30)] result.index = result.index._with_freq(None) tm.assert_series_equal(result, expected) tm.assert_frame_equal(result_df, exp_df) chunk = df.loc["1/4/2000":] result = chunk.loc[time(9, 30)] expected = result_df[-1:] # Without resetting the freqs, these are 5 min and 1440 min, respectively result.index = result.index._with_freq(None) expected.index = expected.index._with_freq(None) tm.assert_frame_equal(result, expected) # midnight, everything rng = date_range("1/1/2000", "1/31/2000") ts = Series(np.random.randn(len(rng)), index=rng) result = ts.at_time(time(0, 0)) tm.assert_series_equal(result, ts) # time doesn't exist rng = date_range("1/1/2012", freq="23Min", periods=384) ts = Series(np.random.randn(len(rng)), rng) rs = ts.at_time("16:00") assert len(rs) == 0 def test_at_time_raises(self): # GH20725 ser = Series("a b c".split()) msg = "Index must be DatetimeIndex" with pytest.raises(TypeError, match=msg): ser.at_time("00:00")