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_compare.py (3734B)

import numpy as np
import pytest

import pandas as pd
import pandas._testing as tm

@pytest.mark.parametrize("align_axis", [0, 1, "index", "columns"])
def test_compare_axis(align_axis):
    # GH#30429
    s1 = pd.Series(["a", "b", "c"])
    s2 = pd.Series(["x", "b", "z"])

result = s1.compare(s2, align_axis=align_axis)

if align_axis in (1, "columns"):
        indices = pd.Index([0, 2])
        columns = pd.Index(["self", "other"])
        expected = pd.DataFrame(
            [["a", "x"], ["c", "z"]], index=indices, columns=columns
        )
        tm.assert_frame_equal(result, expected)
    else:
        indices = pd.MultiIndex.from_product([[0, 2], ["self", "other"]])
        expected = pd.Series(["a", "x", "c", "z"], index=indices)
        tm.assert_series_equal(result, expected)

@pytest.mark.parametrize(
    "keep_shape, keep_equal",
    [
        (True, False),
        (False, True),
        (True, True),
        # False, False case is already covered in test_compare_axis
    ],
)
def test_compare_various_formats(keep_shape, keep_equal):
    s1 = pd.Series(["a", "b", "c"])
    s2 = pd.Series(["x", "b", "z"])

result = s1.compare(s2, keep_shape=keep_shape, keep_equal=keep_equal)

if keep_shape:
        indices = pd.Index([0, 1, 2])
        columns = pd.Index(["self", "other"])
        if keep_equal:
            expected = pd.DataFrame(
                [["a", "x"], ["b", "b"], ["c", "z"]], index=indices, columns=columns
            )
        else:
            expected = pd.DataFrame(
                [["a", "x"], [np.nan, np.nan], ["c", "z"]],
                index=indices,
                columns=columns,
            )
    else:
        indices = pd.Index([0, 2])
        columns = pd.Index(["self", "other"])
        expected = pd.DataFrame(
            [["a", "x"], ["c", "z"]], index=indices, columns=columns
        )
    tm.assert_frame_equal(result, expected)

def test_compare_with_equal_nulls():
    # We want to make sure two NaNs are considered the same
    # and dropped where applicable
    s1 = pd.Series(["a", "b", np.nan])
    s2 = pd.Series(["x", "b", np.nan])

result = s1.compare(s2)
    expected = pd.DataFrame([["a", "x"]], columns=["self", "other"])
    tm.assert_frame_equal(result, expected)

def test_compare_with_non_equal_nulls():
    # We want to make sure the relevant NaNs do not get dropped
    s1 = pd.Series(["a", "b", "c"])
    s2 = pd.Series(["x", "b", np.nan])

result = s1.compare(s2, align_axis=0)

indices = pd.MultiIndex.from_product([[0, 2], ["self", "other"]])
    expected = pd.Series(["a", "x", "c", np.nan], index=indices)
    tm.assert_series_equal(result, expected)

def test_compare_multi_index():
    index = pd.MultiIndex.from_arrays([[0, 0, 1], [0, 1, 2]])
    s1 = pd.Series(["a", "b", "c"], index=index)
    s2 = pd.Series(["x", "b", "z"], index=index)

result = s1.compare(s2, align_axis=0)

indices = pd.MultiIndex.from_arrays(
        [[0, 0, 1, 1], [0, 0, 2, 2], ["self", "other", "self", "other"]]
    )
    expected = pd.Series(["a", "x", "c", "z"], index=indices)
    tm.assert_series_equal(result, expected)

def test_compare_unaligned_objects():
    # test Series with different indices
    msg = "Can only compare identically-labeled Series objects"
    with pytest.raises(ValueError, match=msg):
        ser1 = pd.Series([1, 2, 3], index=["a", "b", "c"])
        ser2 = pd.Series([1, 2, 3], index=["a", "b", "d"])
        ser1.compare(ser2)

# test Series with different lengths
    msg = "Can only compare identically-labeled Series objects"
    with pytest.raises(ValueError, match=msg):
        ser1 = pd.Series([1, 2, 3])
        ser2 = pd.Series([1, 2, 3, 4])
        ser1.compare(ser2)

import numpy as np import pytest import pandas as pd import pandas._testing as tm @pytest.mark.parametrize("align_axis", [0, 1, "index", "columns"]) def test_compare_axis(align_axis): # GH#30429 s1 = pd.Series(["a", "b", "c"]) s2 = pd.Series(["x", "b", "z"]) result = s1.compare(s2, align_axis=align_axis) if align_axis in (1, "columns"): indices = pd.Index([0, 2]) columns = pd.Index(["self", "other"]) expected = pd.DataFrame( [["a", "x"], ["c", "z"]], index=indices, columns=columns ) tm.assert_frame_equal(result, expected) else: indices = pd.MultiIndex.from_product([[0, 2], ["self", "other"]]) expected = pd.Series(["a", "x", "c", "z"], index=indices) tm.assert_series_equal(result, expected) @pytest.mark.parametrize( "keep_shape, keep_equal", [ (True, False), (False, True), (True, True), # False, False case is already covered in test_compare_axis ], ) def test_compare_various_formats(keep_shape, keep_equal): s1 = pd.Series(["a", "b", "c"]) s2 = pd.Series(["x", "b", "z"]) result = s1.compare(s2, keep_shape=keep_shape, keep_equal=keep_equal) if keep_shape: indices = pd.Index([0, 1, 2]) columns = pd.Index(["self", "other"]) if keep_equal: expected = pd.DataFrame( [["a", "x"], ["b", "b"], ["c", "z"]], index=indices, columns=columns ) else: expected = pd.DataFrame( [["a", "x"], [np.nan, np.nan], ["c", "z"]], index=indices, columns=columns, ) else: indices = pd.Index([0, 2]) columns = pd.Index(["self", "other"]) expected = pd.DataFrame( [["a", "x"], ["c", "z"]], index=indices, columns=columns ) tm.assert_frame_equal(result, expected) def test_compare_with_equal_nulls(): # We want to make sure two NaNs are considered the same # and dropped where applicable s1 = pd.Series(["a", "b", np.nan]) s2 = pd.Series(["x", "b", np.nan]) result = s1.compare(s2) expected = pd.DataFrame([["a", "x"]], columns=["self", "other"]) tm.assert_frame_equal(result, expected) def test_compare_with_non_equal_nulls(): # We want to make sure the relevant NaNs do not get dropped s1 = pd.Series(["a", "b", "c"]) s2 = pd.Series(["x", "b", np.nan]) result = s1.compare(s2, align_axis=0) indices = pd.MultiIndex.from_product([[0, 2], ["self", "other"]]) expected = pd.Series(["a", "x", "c", np.nan], index=indices) tm.assert_series_equal(result, expected) def test_compare_multi_index(): index = pd.MultiIndex.from_arrays([[0, 0, 1], [0, 1, 2]]) s1 = pd.Series(["a", "b", "c"], index=index) s2 = pd.Series(["x", "b", "z"], index=index) result = s1.compare(s2, align_axis=0) indices = pd.MultiIndex.from_arrays( [[0, 0, 1, 1], [0, 0, 2, 2], ["self", "other", "self", "other"]] ) expected = pd.Series(["a", "x", "c", "z"], index=indices) tm.assert_series_equal(result, expected) def test_compare_unaligned_objects(): # test Series with different indices msg = "Can only compare identically-labeled Series objects" with pytest.raises(ValueError, match=msg): ser1 = pd.Series([1, 2, 3], index=["a", "b", "c"]) ser2 = pd.Series([1, 2, 3], index=["a", "b", "d"]) ser1.compare(ser2) # test Series with different lengths msg = "Can only compare identically-labeled Series objects" with pytest.raises(ValueError, match=msg): ser1 = pd.Series([1, 2, 3]) ser2 = pd.Series([1, 2, 3, 4]) ser1.compare(ser2)