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_unstack.py (4208B)

import numpy as np
import pytest

import pandas as pd
from pandas import DataFrame, MultiIndex, Series
import pandas._testing as tm

def test_unstack():
    index = MultiIndex(
        levels=[["bar", "foo"], ["one", "three", "two"]],
        codes=[[1, 1, 0, 0], [0, 1, 0, 2]],
    )

s = Series(np.arange(4.0), index=index)
    unstacked = s.unstack()

expected = DataFrame(
        [[2.0, np.nan, 3.0], [0.0, 1.0, np.nan]],
        index=["bar", "foo"],
        columns=["one", "three", "two"],
    )

tm.assert_frame_equal(unstacked, expected)

unstacked = s.unstack(level=0)
    tm.assert_frame_equal(unstacked, expected.T)

index = MultiIndex(
        levels=[["bar"], ["one", "two", "three"], [0, 1]],
        codes=[[0, 0, 0, 0, 0, 0], [0, 1, 2, 0, 1, 2], [0, 1, 0, 1, 0, 1]],
    )
    s = Series(np.random.randn(6), index=index)
    exp_index = MultiIndex(
        levels=[["one", "two", "three"], [0, 1]],
        codes=[[0, 1, 2, 0, 1, 2], [0, 1, 0, 1, 0, 1]],
    )
    expected = DataFrame({"bar": s.values}, index=exp_index).sort_index(level=0)
    unstacked = s.unstack(0).sort_index()
    tm.assert_frame_equal(unstacked, expected)

# GH5873
    idx = pd.MultiIndex.from_arrays([[101, 102], [3.5, np.nan]])
    ts = pd.Series([1, 2], index=idx)
    left = ts.unstack()
    right = DataFrame(
        [[np.nan, 1], [2, np.nan]], index=[101, 102], columns=[np.nan, 3.5]
    )
    tm.assert_frame_equal(left, right)

idx = pd.MultiIndex.from_arrays(
        [
            ["cat", "cat", "cat", "dog", "dog"],
            ["a", "a", "b", "a", "b"],
            [1, 2, 1, 1, np.nan],
        ]
    )
    ts = pd.Series([1.0, 1.1, 1.2, 1.3, 1.4], index=idx)
    right = DataFrame(
        [[1.0, 1.3], [1.1, np.nan], [np.nan, 1.4], [1.2, np.nan]],
        columns=["cat", "dog"],
    )
    tpls = [("a", 1), ("a", 2), ("b", np.nan), ("b", 1)]
    right.index = pd.MultiIndex.from_tuples(tpls)
    tm.assert_frame_equal(ts.unstack(level=0), right)

def test_unstack_tuplename_in_multiindex():
    # GH 19966
    idx = pd.MultiIndex.from_product(
        [["a", "b", "c"], [1, 2, 3]], names=[("A", "a"), ("B", "b")]
    )
    ser = pd.Series(1, index=idx)
    result = ser.unstack(("A", "a"))

expected = pd.DataFrame(
        [[1, 1, 1], [1, 1, 1], [1, 1, 1]],
        columns=pd.MultiIndex.from_tuples(
            [("a",), ("b",), ("c",)], names=[("A", "a")],
        ),
        index=pd.Index([1, 2, 3], name=("B", "b")),
    )
    tm.assert_frame_equal(result, expected)

@pytest.mark.parametrize(
    "unstack_idx, expected_values, expected_index, expected_columns",
    [
        (
            ("A", "a"),
            [[1, 1], [1, 1], [1, 1], [1, 1]],
            pd.MultiIndex.from_tuples(
                [(1, 3), (1, 4), (2, 3), (2, 4)], names=["B", "C"]
            ),
            pd.MultiIndex.from_tuples([("a",), ("b",)], names=[("A", "a")]),
        ),
        (
            (("A", "a"), "B"),
            [[1, 1, 1, 1], [1, 1, 1, 1]],
            pd.Index([3, 4], name="C"),
            pd.MultiIndex.from_tuples(
                [("a", 1), ("a", 2), ("b", 1), ("b", 2)], names=[("A", "a"), "B"]
            ),
        ),
    ],
)
def test_unstack_mixed_type_name_in_multiindex(
    unstack_idx, expected_values, expected_index, expected_columns
):
    # GH 19966
    idx = pd.MultiIndex.from_product(
        [["a", "b"], [1, 2], [3, 4]], names=[("A", "a"), "B", "C"]
    )
    ser = pd.Series(1, index=idx)
    result = ser.unstack(unstack_idx)

expected = pd.DataFrame(
        expected_values, columns=expected_columns, index=expected_index,
    )
    tm.assert_frame_equal(result, expected)

def test_unstack_multi_index_categorical_values():

mi = tm.makeTimeDataFrame().stack().index.rename(["major", "minor"])
    ser = pd.Series(["foo"] * len(mi), index=mi, name="category", dtype="category")

result = ser.unstack()

dti = ser.index.levels[0]
    c = pd.Categorical(["foo"] * len(dti))
    expected = DataFrame(
        {"A": c.copy(), "B": c.copy(), "C": c.copy(), "D": c.copy()},
        columns=pd.Index(list("ABCD"), name="minor"),
        index=dti.rename("major"),
    )
    tm.assert_frame_equal(result, expected)

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