FM / methods

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

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

Name	Size	Mode	Actions
__pycache__/	-	0755	rm
test_align.py	10339	0644	edit dl rm
test_append.py	7399	0644	edit dl rm
test_asfreq.py	1970	0644	edit dl rm
test_asof.py	5767	0644	edit dl rm
test_assign.py	2982	0644	edit dl rm
test_astype.py	21027	0644	edit dl rm
test_at_time.py	3205	0644	edit dl rm
test_between_time.py	3675	0644	edit dl rm
test_clip.py	6028	0644	edit dl rm
test_combine.py	1359	0644	edit dl rm
test_combine_first.py	12748	0644	edit dl rm
test_compare.py	6158	0644	edit dl rm
test_count.py	1068	0644	edit dl rm
test_cov_corr.py	11888	0644	edit dl rm
test_describe.py	12492	0644	edit dl rm
test_diff.py	7374	0644	edit dl rm
test_drop.py	15662	0644	edit dl rm
test_droplevel.py	855	0644	edit dl rm
test_drop_duplicates.py	13387	0644	edit dl rm
test_duplicated.py	3191	0644	edit dl rm
test_explode.py	5294	0644	edit dl rm
test_filter.py	4933	0644	edit dl rm
test_first_and_last.py	1803	0644	edit dl rm
test_head_tail.py	1194	0644	edit dl rm
test_interpolate.py	11816	0644	edit dl rm
test_isin.py	7324	0644	edit dl rm
test_nlargest.py	6731	0644	edit dl rm
test_pct_change.py	3436	0644	edit dl rm
test_pop.py	1226	0644	edit dl rm
test_quantile.py	18028	0644	edit dl rm
test_rank.py	11377	0644	edit dl rm
test_reindex_like.py	1187	0644	edit dl rm
test_rename.py	12543	0644	edit dl rm
test_rename_axis.py	4074	0644	edit dl rm
test_replace.py	59230	0644	edit dl rm
test_reset_index.py	12506	0644	edit dl rm
test_round.py	7916	0644	edit dl rm
test_select_dtypes.py	12104	0644	edit dl rm
test_set_index.py	19571	0644	edit dl rm
test_shift.py	10324	0644	edit dl rm
test_sort_index.py	25678	0644	edit dl rm
test_sort_values.py	25358	0644	edit dl rm
test_to_dict.py	9989	0644	edit dl rm
test_to_period.py	984	0644	edit dl rm
test_to_records.py	13981	0644	edit dl rm
test_to_timestamp.py	4020	0644	edit dl rm
test_transpose.py	2426	0644	edit dl rm
test_truncate.py	4180	0644	edit dl rm
test_tz_convert.py	3415	0644	edit dl rm
test_tz_localize.py	666	0644	edit dl rm
test_update.py	4259	0644	edit dl rm
test_value_counts.py	2631	0644	edit dl rm
__init__.py	229	0644	edit dl rm

Edit: /usr/local/lib64/python3.6/site-packages/pandas/tests/frame/methods/test_compare.py (6158B)

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
    df = pd.DataFrame(
        {"col1": ["a", "b", "c"], "col2": [1.0, 2.0, np.nan], "col3": [1.0, 2.0, 3.0]},
        columns=["col1", "col2", "col3"],
    )
    df2 = df.copy()
    df2.loc[0, "col1"] = "c"
    df2.loc[2, "col3"] = 4.0

result = df.compare(df2, align_axis=align_axis)

if align_axis in (1, "columns"):
        indices = pd.Index([0, 2])
        columns = pd.MultiIndex.from_product([["col1", "col3"], ["self", "other"]])
        expected = pd.DataFrame(
            [["a", "c", np.nan, np.nan], [np.nan, np.nan, 3.0, 4.0]],
            index=indices,
            columns=columns,
        )
    else:
        indices = pd.MultiIndex.from_product([[0, 2], ["self", "other"]])
        columns = pd.Index(["col1", "col3"])
        expected = pd.DataFrame(
            [["a", np.nan], ["c", np.nan], [np.nan, 3.0], [np.nan, 4.0]],
            index=indices,
            columns=columns,
        )
    tm.assert_frame_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):
    df = pd.DataFrame(
        {"col1": ["a", "b", "c"], "col2": [1.0, 2.0, np.nan], "col3": [1.0, 2.0, 3.0]},
        columns=["col1", "col2", "col3"],
    )
    df2 = df.copy()
    df2.loc[0, "col1"] = "c"
    df2.loc[2, "col3"] = 4.0

result = df.compare(df2, keep_shape=keep_shape, keep_equal=keep_equal)

if keep_shape:
        indices = pd.Index([0, 1, 2])
        columns = pd.MultiIndex.from_product(
            [["col1", "col2", "col3"], ["self", "other"]]
        )
        if keep_equal:
            expected = pd.DataFrame(
                [
                    ["a", "c", 1.0, 1.0, 1.0, 1.0],
                    ["b", "b", 2.0, 2.0, 2.0, 2.0],
                    ["c", "c", np.nan, np.nan, 3.0, 4.0],
                ],
                index=indices,
                columns=columns,
            )
        else:
            expected = pd.DataFrame(
                [
                    ["a", "c", np.nan, np.nan, np.nan, np.nan],
                    [np.nan, np.nan, np.nan, np.nan, np.nan, np.nan],
                    [np.nan, np.nan, np.nan, np.nan, 3.0, 4.0],
                ],
                index=indices,
                columns=columns,
            )
    else:
        indices = pd.Index([0, 2])
        columns = pd.MultiIndex.from_product([["col1", "col3"], ["self", "other"]])
        expected = pd.DataFrame(
            [["a", "c", 1.0, 1.0], ["c", "c", 3.0, 4.0]], 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
    df = pd.DataFrame(
        {"col1": ["a", "b", "c"], "col2": [1.0, 2.0, np.nan], "col3": [1.0, 2.0, 3.0]},
        columns=["col1", "col2", "col3"],
    )
    df2 = df.copy()
    df2.loc[0, "col1"] = "c"

result = df.compare(df2)
    indices = pd.Index([0])
    columns = pd.MultiIndex.from_product([["col1"], ["self", "other"]])
    expected = pd.DataFrame([["a", "c"]], index=indices, columns=columns)
    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
    # even if the entire row or column are NaNs
    df = pd.DataFrame(
        {"col1": ["a", "b", "c"], "col2": [1.0, 2.0, np.nan], "col3": [1.0, 2.0, 3.0]},
        columns=["col1", "col2", "col3"],
    )
    df2 = df.copy()
    df2.loc[0, "col1"] = "c"
    df2.loc[2, "col3"] = np.nan

result = df.compare(df2)

indices = pd.Index([0, 2])
    columns = pd.MultiIndex.from_product([["col1", "col3"], ["self", "other"]])
    expected = pd.DataFrame(
        [["a", "c", np.nan, np.nan], [np.nan, np.nan, 3.0, np.nan]],
        index=indices,
        columns=columns,
    )
    tm.assert_frame_equal(result, expected)

@pytest.mark.parametrize("align_axis", [0, 1])
def test_compare_multi_index(align_axis):
    df = pd.DataFrame(
        {"col1": ["a", "b", "c"], "col2": [1.0, 2.0, np.nan], "col3": [1.0, 2.0, 3.0]}
    )
    df.columns = pd.MultiIndex.from_arrays([["a", "a", "b"], ["col1", "col2", "col3"]])
    df.index = pd.MultiIndex.from_arrays([["x", "x", "y"], [0, 1, 2]])

df2 = df.copy()
    df2.iloc[0, 0] = "c"
    df2.iloc[2, 2] = 4.0

result = df.compare(df2, align_axis=align_axis)

if align_axis == 0:
        indices = pd.MultiIndex.from_arrays(
            [["x", "x", "y", "y"], [0, 0, 2, 2], ["self", "other", "self", "other"]]
        )
        columns = pd.MultiIndex.from_arrays([["a", "b"], ["col1", "col3"]])
        data = [["a", np.nan], ["c", np.nan], [np.nan, 3.0], [np.nan, 4.0]]
    else:
        indices = pd.MultiIndex.from_arrays([["x", "y"], [0, 2]])
        columns = pd.MultiIndex.from_arrays(
            [
                ["a", "a", "b", "b"],
                ["col1", "col1", "col3", "col3"],
                ["self", "other", "self", "other"],
            ]
        )
        data = [["a", "c", np.nan, np.nan], [np.nan, np.nan, 3.0, 4.0]]

expected = pd.DataFrame(data=data, index=indices, columns=columns)
    tm.assert_frame_equal(result, expected)

def test_compare_unaligned_objects():
    # test DataFrames with different indices
    msg = "Can only compare identically-labeled DataFrame objects"
    with pytest.raises(ValueError, match=msg):
        df1 = pd.DataFrame([1, 2, 3], index=["a", "b", "c"])
        df2 = pd.DataFrame([1, 2, 3], index=["a", "b", "d"])
        df1.compare(df2)

# test DataFrames with different shapes
    msg = "Can only compare identically-labeled DataFrame objects"
    with pytest.raises(ValueError, match=msg):
        df1 = pd.DataFrame(np.ones((3, 3)))
        df2 = pd.DataFrame(np.zeros((2, 1)))
        df1.compare(df2)

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