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_combine_first.py (3411B)

from datetime import datetime

import numpy as np

import pandas as pd
from pandas import Period, Series, date_range, period_range, to_datetime
import pandas._testing as tm

class TestCombineFirst:
    def test_combine_first_period_datetime(self):
        # GH#3367
        didx = date_range(start="1950-01-31", end="1950-07-31", freq="M")
        pidx = period_range(start=Period("1950-1"), end=Period("1950-7"), freq="M")
        # check to be consistent with DatetimeIndex
        for idx in [didx, pidx]:
            a = Series([1, np.nan, np.nan, 4, 5, np.nan, 7], index=idx)
            b = Series([9, 9, 9, 9, 9, 9, 9], index=idx)

result = a.combine_first(b)
            expected = Series([1, 9, 9, 4, 5, 9, 7], index=idx, dtype=np.float64)
            tm.assert_series_equal(result, expected)

def test_combine_first_name(self, datetime_series):
        result = datetime_series.combine_first(datetime_series[:5])
        assert result.name == datetime_series.name

def test_combine_first(self):
        values = tm.makeIntIndex(20).values.astype(float)
        series = Series(values, index=tm.makeIntIndex(20))

series_copy = series * 2
        series_copy[::2] = np.NaN

# nothing used from the input
        combined = series.combine_first(series_copy)

tm.assert_series_equal(combined, series)

# Holes filled from input
        combined = series_copy.combine_first(series)
        assert np.isfinite(combined).all()

tm.assert_series_equal(combined[::2], series[::2])
        tm.assert_series_equal(combined[1::2], series_copy[1::2])

# mixed types
        index = tm.makeStringIndex(20)
        floats = Series(tm.randn(20), index=index)
        strings = Series(tm.makeStringIndex(10), index=index[::2])

combined = strings.combine_first(floats)

tm.assert_series_equal(strings, combined.loc[index[::2]])
        tm.assert_series_equal(floats[1::2].astype(object), combined.loc[index[1::2]])

# corner case
        ser = Series([1.0, 2, 3], index=[0, 1, 2])
        empty = Series([], index=[], dtype=object)
        result = ser.combine_first(empty)
        ser.index = ser.index.astype("O")
        tm.assert_series_equal(ser, result)

def test_combine_first_dt64(self):

s0 = to_datetime(Series(["2010", np.NaN]))
        s1 = to_datetime(Series([np.NaN, "2011"]))
        rs = s0.combine_first(s1)
        xp = to_datetime(Series(["2010", "2011"]))
        tm.assert_series_equal(rs, xp)

s0 = to_datetime(Series(["2010", np.NaN]))
        s1 = Series([np.NaN, "2011"])
        rs = s0.combine_first(s1)
        xp = Series([datetime(2010, 1, 1), "2011"])
        tm.assert_series_equal(rs, xp)

def test_combine_first_dt_tz_values(self, tz_naive_fixture):
        ser1 = pd.Series(
            pd.DatetimeIndex(["20150101", "20150102", "20150103"], tz=tz_naive_fixture),
            name="ser1",
        )
        ser2 = pd.Series(
            pd.DatetimeIndex(["20160514", "20160515", "20160516"], tz=tz_naive_fixture),
            index=[2, 3, 4],
            name="ser2",
        )
        result = ser1.combine_first(ser2)
        exp_vals = pd.DatetimeIndex(
            ["20150101", "20150102", "20150103", "20160515", "20160516"],
            tz=tz_naive_fixture,
        )
        exp = pd.Series(exp_vals, name="ser1")
        tm.assert_series_equal(exp, result)

from datetime import datetime import numpy as np import pandas as pd from pandas import Period, Series, date_range, period_range, to_datetime import pandas._testing as tm class TestCombineFirst: def test_combine_first_period_datetime(self): # GH#3367 didx = date_range(start="1950-01-31", end="1950-07-31", freq="M") pidx = period_range(start=Period("1950-1"), end=Period("1950-7"), freq="M") # check to be consistent with DatetimeIndex for idx in [didx, pidx]: a = Series([1, np.nan, np.nan, 4, 5, np.nan, 7], index=idx) b = Series([9, 9, 9, 9, 9, 9, 9], index=idx) result = a.combine_first(b) expected = Series([1, 9, 9, 4, 5, 9, 7], index=idx, dtype=np.float64) tm.assert_series_equal(result, expected) def test_combine_first_name(self, datetime_series): result = datetime_series.combine_first(datetime_series[:5]) assert result.name == datetime_series.name def test_combine_first(self): values = tm.makeIntIndex(20).values.astype(float) series = Series(values, index=tm.makeIntIndex(20)) series_copy = series * 2 series_copy[::2] = np.NaN # nothing used from the input combined = series.combine_first(series_copy) tm.assert_series_equal(combined, series) # Holes filled from input combined = series_copy.combine_first(series) assert np.isfinite(combined).all() tm.assert_series_equal(combined[::2], series[::2]) tm.assert_series_equal(combined[1::2], series_copy[1::2]) # mixed types index = tm.makeStringIndex(20) floats = Series(tm.randn(20), index=index) strings = Series(tm.makeStringIndex(10), index=index[::2]) combined = strings.combine_first(floats) tm.assert_series_equal(strings, combined.loc[index[::2]]) tm.assert_series_equal(floats[1::2].astype(object), combined.loc[index[1::2]]) # corner case ser = Series([1.0, 2, 3], index=[0, 1, 2]) empty = Series([], index=[], dtype=object) result = ser.combine_first(empty) ser.index = ser.index.astype("O") tm.assert_series_equal(ser, result) def test_combine_first_dt64(self): s0 = to_datetime(Series(["2010", np.NaN])) s1 = to_datetime(Series([np.NaN, "2011"])) rs = s0.combine_first(s1) xp = to_datetime(Series(["2010", "2011"])) tm.assert_series_equal(rs, xp) s0 = to_datetime(Series(["2010", np.NaN])) s1 = Series([np.NaN, "2011"]) rs = s0.combine_first(s1) xp = Series([datetime(2010, 1, 1), "2011"]) tm.assert_series_equal(rs, xp) def test_combine_first_dt_tz_values(self, tz_naive_fixture): ser1 = pd.Series( pd.DatetimeIndex(["20150101", "20150102", "20150103"], tz=tz_naive_fixture), name="ser1", ) ser2 = pd.Series( pd.DatetimeIndex(["20160514", "20160515", "20160516"], tz=tz_naive_fixture), index=[2, 3, 4], name="ser2", ) result = ser1.combine_first(ser2) exp_vals = pd.DatetimeIndex( ["20150101", "20150102", "20150103", "20160515", "20160516"], tz=tz_naive_fixture, ) exp = pd.Series(exp_vals, name="ser1") tm.assert_series_equal(exp, result)