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_clip.py (3384B)

import numpy as np
import pytest

import pandas as pd
from pandas import Series, Timestamp, isna, notna
import pandas._testing as tm

class TestSeriesClip:
    def test_clip(self, datetime_series):
        val = datetime_series.median()

assert datetime_series.clip(lower=val).min() == val
        assert datetime_series.clip(upper=val).max() == val

result = datetime_series.clip(-0.5, 0.5)
        expected = np.clip(datetime_series, -0.5, 0.5)
        tm.assert_series_equal(result, expected)
        assert isinstance(expected, Series)

def test_clip_types_and_nulls(self):

sers = [
            Series([np.nan, 1.0, 2.0, 3.0]),
            Series([None, "a", "b", "c"]),
            Series(pd.to_datetime([np.nan, 1, 2, 3], unit="D")),
        ]

for s in sers:
            thresh = s[2]
            lower = s.clip(lower=thresh)
            upper = s.clip(upper=thresh)
            assert lower[notna(lower)].min() == thresh
            assert upper[notna(upper)].max() == thresh
            assert list(isna(s)) == list(isna(lower))
            assert list(isna(s)) == list(isna(upper))

def test_clip_with_na_args(self):
        """Should process np.nan argument as None """
        # GH#17276
        s = Series([1, 2, 3])

tm.assert_series_equal(s.clip(np.nan), Series([1, 2, 3]))
        tm.assert_series_equal(s.clip(upper=np.nan, lower=np.nan), Series([1, 2, 3]))

# GH#19992
        tm.assert_series_equal(s.clip(lower=[0, 4, np.nan]), Series([1, 4, np.nan]))
        tm.assert_series_equal(s.clip(upper=[1, np.nan, 1]), Series([1, np.nan, 1]))

def test_clip_against_series(self):
        # GH#6966

s = Series([1.0, 1.0, 4.0])

lower = Series([1.0, 2.0, 3.0])
        upper = Series([1.5, 2.5, 3.5])

tm.assert_series_equal(s.clip(lower, upper), Series([1.0, 2.0, 3.5]))
        tm.assert_series_equal(s.clip(1.5, upper), Series([1.5, 1.5, 3.5]))

@pytest.mark.parametrize("inplace", [True, False])
    @pytest.mark.parametrize("upper", [[1, 2, 3], np.asarray([1, 2, 3])])
    def test_clip_against_list_like(self, inplace, upper):
        # GH#15390
        original = pd.Series([5, 6, 7])
        result = original.clip(upper=upper, inplace=inplace)
        expected = pd.Series([1, 2, 3])

if inplace:
            result = original
        tm.assert_series_equal(result, expected, check_exact=True)

def test_clip_with_datetimes(self):
        # GH#11838
        # naive and tz-aware datetimes

t = Timestamp("2015-12-01 09:30:30")
        s = Series([Timestamp("2015-12-01 09:30:00"), Timestamp("2015-12-01 09:31:00")])
        result = s.clip(upper=t)
        expected = Series(
            [Timestamp("2015-12-01 09:30:00"), Timestamp("2015-12-01 09:30:30")]
        )
        tm.assert_series_equal(result, expected)

t = Timestamp("2015-12-01 09:30:30", tz="US/Eastern")
        s = Series(
            [
                Timestamp("2015-12-01 09:30:00", tz="US/Eastern"),
                Timestamp("2015-12-01 09:31:00", tz="US/Eastern"),
            ]
        )
        result = s.clip(upper=t)
        expected = Series(
            [
                Timestamp("2015-12-01 09:30:00", tz="US/Eastern"),
                Timestamp("2015-12-01 09:30:30", tz="US/Eastern"),
            ]
        )
        tm.assert_series_equal(result, expected)

import numpy as np import pytest import pandas as pd from pandas import Series, Timestamp, isna, notna import pandas._testing as tm class TestSeriesClip: def test_clip(self, datetime_series): val = datetime_series.median() assert datetime_series.clip(lower=val).min() == val assert datetime_series.clip(upper=val).max() == val result = datetime_series.clip(-0.5, 0.5) expected = np.clip(datetime_series, -0.5, 0.5) tm.assert_series_equal(result, expected) assert isinstance(expected, Series) def test_clip_types_and_nulls(self): sers = [ Series([np.nan, 1.0, 2.0, 3.0]), Series([None, "a", "b", "c"]), Series(pd.to_datetime([np.nan, 1, 2, 3], unit="D")), ] for s in sers: thresh = s[2] lower = s.clip(lower=thresh) upper = s.clip(upper=thresh) assert lower[notna(lower)].min() == thresh assert upper[notna(upper)].max() == thresh assert list(isna(s)) == list(isna(lower)) assert list(isna(s)) == list(isna(upper)) def test_clip_with_na_args(self): """Should process np.nan argument as None """ # GH#17276 s = Series([1, 2, 3]) tm.assert_series_equal(s.clip(np.nan), Series([1, 2, 3])) tm.assert_series_equal(s.clip(upper=np.nan, lower=np.nan), Series([1, 2, 3])) # GH#19992 tm.assert_series_equal(s.clip(lower=[0, 4, np.nan]), Series([1, 4, np.nan])) tm.assert_series_equal(s.clip(upper=[1, np.nan, 1]), Series([1, np.nan, 1])) def test_clip_against_series(self): # GH#6966 s = Series([1.0, 1.0, 4.0]) lower = Series([1.0, 2.0, 3.0]) upper = Series([1.5, 2.5, 3.5]) tm.assert_series_equal(s.clip(lower, upper), Series([1.0, 2.0, 3.5])) tm.assert_series_equal(s.clip(1.5, upper), Series([1.5, 1.5, 3.5])) @pytest.mark.parametrize("inplace", [True, False]) @pytest.mark.parametrize("upper", [[1, 2, 3], np.asarray([1, 2, 3])]) def test_clip_against_list_like(self, inplace, upper): # GH#15390 original = pd.Series([5, 6, 7]) result = original.clip(upper=upper, inplace=inplace) expected = pd.Series([1, 2, 3]) if inplace: result = original tm.assert_series_equal(result, expected, check_exact=True) def test_clip_with_datetimes(self): # GH#11838 # naive and tz-aware datetimes t = Timestamp("2015-12-01 09:30:30") s = Series([Timestamp("2015-12-01 09:30:00"), Timestamp("2015-12-01 09:31:00")]) result = s.clip(upper=t) expected = Series( [Timestamp("2015-12-01 09:30:00"), Timestamp("2015-12-01 09:30:30")] ) tm.assert_series_equal(result, expected) t = Timestamp("2015-12-01 09:30:30", tz="US/Eastern") s = Series( [ Timestamp("2015-12-01 09:30:00", tz="US/Eastern"), Timestamp("2015-12-01 09:31:00", tz="US/Eastern"), ] ) result = s.clip(upper=t) expected = Series( [ Timestamp("2015-12-01 09:30:00", tz="US/Eastern"), Timestamp("2015-12-01 09:30:30", tz="US/Eastern"), ] ) tm.assert_series_equal(result, expected)