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_append.py (9600B)

import numpy as np
import pytest

import pandas as pd
from pandas import DataFrame, DatetimeIndex, Index, Series, Timestamp, date_range
import pandas._testing as tm

class TestSeriesAppend:
    def test_append(self, datetime_series, string_series, object_series):
        appended_series = string_series.append(object_series)
        for idx, value in appended_series.items():
            if idx in string_series.index:
                assert value == string_series[idx]
            elif idx in object_series.index:
                assert value == object_series[idx]
            else:
                raise AssertionError("orphaned index!")

msg = "Indexes have overlapping values:"
        with pytest.raises(ValueError, match=msg):
            datetime_series.append(datetime_series, verify_integrity=True)

def test_append_many(self, datetime_series):
        pieces = [datetime_series[:5], datetime_series[5:10], datetime_series[10:]]

result = pieces[0].append(pieces[1:])
        tm.assert_series_equal(result, datetime_series)

def test_append_duplicates(self):
        # GH 13677
        s1 = pd.Series([1, 2, 3])
        s2 = pd.Series([4, 5, 6])
        exp = pd.Series([1, 2, 3, 4, 5, 6], index=[0, 1, 2, 0, 1, 2])
        tm.assert_series_equal(s1.append(s2), exp)
        tm.assert_series_equal(pd.concat([s1, s2]), exp)

# the result must have RangeIndex
        exp = pd.Series([1, 2, 3, 4, 5, 6])
        tm.assert_series_equal(
            s1.append(s2, ignore_index=True), exp, check_index_type=True
        )
        tm.assert_series_equal(
            pd.concat([s1, s2], ignore_index=True), exp, check_index_type=True
        )

msg = "Indexes have overlapping values:"
        with pytest.raises(ValueError, match=msg):
            s1.append(s2, verify_integrity=True)
        with pytest.raises(ValueError, match=msg):
            pd.concat([s1, s2], verify_integrity=True)

def test_append_tuples(self):
        # GH 28410
        s = pd.Series([1, 2, 3])
        list_input = [s, s]
        tuple_input = (s, s)

expected = s.append(list_input)
        result = s.append(tuple_input)

tm.assert_series_equal(expected, result)

def test_append_dataframe_raises(self):
        # GH 31413
        df = pd.DataFrame({"A": [1, 2], "B": [3, 4]})

msg = "to_append should be a Series or list/tuple of Series, got DataFrame"
        with pytest.raises(TypeError, match=msg):
            df.A.append(df)
        with pytest.raises(TypeError, match=msg):
            df.A.append([df])

class TestSeriesAppendWithDatetimeIndex:
    def test_append(self):
        rng = date_range("5/8/2012 1:45", periods=10, freq="5T")
        ts = Series(np.random.randn(len(rng)), rng)
        df = DataFrame(np.random.randn(len(rng), 4), index=rng)

result = ts.append(ts)
        result_df = df.append(df)
        ex_index = DatetimeIndex(np.tile(rng.values, 2))
        tm.assert_index_equal(result.index, ex_index)
        tm.assert_index_equal(result_df.index, ex_index)

appended = rng.append(rng)
        tm.assert_index_equal(appended, ex_index)

appended = rng.append([rng, rng])
        ex_index = DatetimeIndex(np.tile(rng.values, 3))
        tm.assert_index_equal(appended, ex_index)

# different index names
        rng1 = rng.copy()
        rng2 = rng.copy()
        rng1.name = "foo"
        rng2.name = "bar"
        assert rng1.append(rng1).name == "foo"
        assert rng1.append(rng2).name is None

def test_append_tz(self):
        # see gh-2938
        rng = date_range("5/8/2012 1:45", periods=10, freq="5T", tz="US/Eastern")
        rng2 = date_range("5/8/2012 2:35", periods=10, freq="5T", tz="US/Eastern")
        rng3 = date_range("5/8/2012 1:45", periods=20, freq="5T", tz="US/Eastern")
        ts = Series(np.random.randn(len(rng)), rng)
        df = DataFrame(np.random.randn(len(rng), 4), index=rng)
        ts2 = Series(np.random.randn(len(rng2)), rng2)
        df2 = DataFrame(np.random.randn(len(rng2), 4), index=rng2)

result = ts.append(ts2)
        result_df = df.append(df2)
        tm.assert_index_equal(result.index, rng3)
        tm.assert_index_equal(result_df.index, rng3)

appended = rng.append(rng2)
        tm.assert_index_equal(appended, rng3)

def test_append_tz_explicit_pytz(self):
        # see gh-2938
        from pytz import timezone as timezone

rng = date_range(
            "5/8/2012 1:45", periods=10, freq="5T", tz=timezone("US/Eastern")
        )
        rng2 = date_range(
            "5/8/2012 2:35", periods=10, freq="5T", tz=timezone("US/Eastern")
        )
        rng3 = date_range(
            "5/8/2012 1:45", periods=20, freq="5T", tz=timezone("US/Eastern")
        )
        ts = Series(np.random.randn(len(rng)), rng)
        df = DataFrame(np.random.randn(len(rng), 4), index=rng)
        ts2 = Series(np.random.randn(len(rng2)), rng2)
        df2 = DataFrame(np.random.randn(len(rng2), 4), index=rng2)

result = ts.append(ts2)
        result_df = df.append(df2)
        tm.assert_index_equal(result.index, rng3)
        tm.assert_index_equal(result_df.index, rng3)

appended = rng.append(rng2)
        tm.assert_index_equal(appended, rng3)

def test_append_tz_dateutil(self):
        # see gh-2938
        rng = date_range(
            "5/8/2012 1:45", periods=10, freq="5T", tz="dateutil/US/Eastern"
        )
        rng2 = date_range(
            "5/8/2012 2:35", periods=10, freq="5T", tz="dateutil/US/Eastern"
        )
        rng3 = date_range(
            "5/8/2012 1:45", periods=20, freq="5T", tz="dateutil/US/Eastern"
        )
        ts = Series(np.random.randn(len(rng)), rng)
        df = DataFrame(np.random.randn(len(rng), 4), index=rng)
        ts2 = Series(np.random.randn(len(rng2)), rng2)
        df2 = DataFrame(np.random.randn(len(rng2), 4), index=rng2)

result = ts.append(ts2)
        result_df = df.append(df2)
        tm.assert_index_equal(result.index, rng3)
        tm.assert_index_equal(result_df.index, rng3)

appended = rng.append(rng2)
        tm.assert_index_equal(appended, rng3)

def test_series_append_aware(self):
        rng1 = date_range("1/1/2011 01:00", periods=1, freq="H", tz="US/Eastern")
        rng2 = date_range("1/1/2011 02:00", periods=1, freq="H", tz="US/Eastern")
        ser1 = Series([1], index=rng1)
        ser2 = Series([2], index=rng2)
        ts_result = ser1.append(ser2)

exp_index = DatetimeIndex(
            ["2011-01-01 01:00", "2011-01-01 02:00"], tz="US/Eastern", freq="H"
        )
        exp = Series([1, 2], index=exp_index)
        tm.assert_series_equal(ts_result, exp)
        assert ts_result.index.tz == rng1.tz

rng1 = date_range("1/1/2011 01:00", periods=1, freq="H", tz="UTC")
        rng2 = date_range("1/1/2011 02:00", periods=1, freq="H", tz="UTC")
        ser1 = Series([1], index=rng1)
        ser2 = Series([2], index=rng2)
        ts_result = ser1.append(ser2)

exp_index = DatetimeIndex(
            ["2011-01-01 01:00", "2011-01-01 02:00"], tz="UTC", freq="H"
        )
        exp = Series([1, 2], index=exp_index)
        tm.assert_series_equal(ts_result, exp)
        utc = rng1.tz
        assert utc == ts_result.index.tz

# GH#7795
        # different tz coerces to object dtype, not UTC
        rng1 = date_range("1/1/2011 01:00", periods=1, freq="H", tz="US/Eastern")
        rng2 = date_range("1/1/2011 02:00", periods=1, freq="H", tz="US/Central")
        ser1 = Series([1], index=rng1)
        ser2 = Series([2], index=rng2)
        ts_result = ser1.append(ser2)
        exp_index = Index(
            [
                Timestamp("1/1/2011 01:00", tz="US/Eastern"),
                Timestamp("1/1/2011 02:00", tz="US/Central"),
            ]
        )
        exp = Series([1, 2], index=exp_index)
        tm.assert_series_equal(ts_result, exp)

def test_series_append_aware_naive(self):
        rng1 = date_range("1/1/2011 01:00", periods=1, freq="H")
        rng2 = date_range("1/1/2011 02:00", periods=1, freq="H", tz="US/Eastern")
        ser1 = Series(np.random.randn(len(rng1)), index=rng1)
        ser2 = Series(np.random.randn(len(rng2)), index=rng2)
        ts_result = ser1.append(ser2)

expected = ser1.index.astype(object).append(ser2.index.astype(object))
        assert ts_result.index.equals(expected)

# mixed
        rng1 = date_range("1/1/2011 01:00", periods=1, freq="H")
        rng2 = range(100)
        ser1 = Series(np.random.randn(len(rng1)), index=rng1)
        ser2 = Series(np.random.randn(len(rng2)), index=rng2)
        ts_result = ser1.append(ser2)

expected = ser1.index.astype(object).append(ser2.index)
        assert ts_result.index.equals(expected)

def test_series_append_dst(self):
        rng1 = date_range("1/1/2016 01:00", periods=3, freq="H", tz="US/Eastern")
        rng2 = date_range("8/1/2016 01:00", periods=3, freq="H", tz="US/Eastern")
        ser1 = Series([1, 2, 3], index=rng1)
        ser2 = Series([10, 11, 12], index=rng2)
        ts_result = ser1.append(ser2)

exp_index = DatetimeIndex(
            [
                "2016-01-01 01:00",
                "2016-01-01 02:00",
                "2016-01-01 03:00",
                "2016-08-01 01:00",
                "2016-08-01 02:00",
                "2016-08-01 03:00",
            ],
            tz="US/Eastern",
        )
        exp = Series([1, 2, 3, 10, 11, 12], index=exp_index)
        tm.assert_series_equal(ts_result, exp)
        assert ts_result.index.tz == rng1.tz

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