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_update.py (4213B)

import numpy as np
import pytest

from pandas import CategoricalDtype, DataFrame, NaT, Series, Timestamp
import pandas._testing as tm

class TestUpdate:
    def test_update(self):
        s = Series([1.5, np.nan, 3.0, 4.0, np.nan])
        s2 = Series([np.nan, 3.5, np.nan, 5.0])
        s.update(s2)

expected = Series([1.5, 3.5, 3.0, 5.0, np.nan])
        tm.assert_series_equal(s, expected)

# GH 3217
        df = DataFrame([{"a": 1}, {"a": 3, "b": 2}])
        df["c"] = np.nan

df["c"].update(Series(["foo"], index=[0]))
        expected = DataFrame(
            [[1, np.nan, "foo"], [3, 2.0, np.nan]], columns=["a", "b", "c"]
        )
        tm.assert_frame_equal(df, expected)

@pytest.mark.parametrize(
        "other, dtype, expected",
        [
            # other is int
            ([61, 63], "int32", Series([10, 61, 12], dtype="int32")),
            ([61, 63], "int64", Series([10, 61, 12])),
            ([61, 63], float, Series([10.0, 61.0, 12.0])),
            ([61, 63], object, Series([10, 61, 12], dtype=object)),
            # other is float, but can be cast to int
            ([61.0, 63.0], "int32", Series([10, 61, 12], dtype="int32")),
            ([61.0, 63.0], "int64", Series([10, 61, 12])),
            ([61.0, 63.0], float, Series([10.0, 61.0, 12.0])),
            ([61.0, 63.0], object, Series([10, 61.0, 12], dtype=object)),
            # others is float, cannot be cast to int
            ([61.1, 63.1], "int32", Series([10.0, 61.1, 12.0])),
            ([61.1, 63.1], "int64", Series([10.0, 61.1, 12.0])),
            ([61.1, 63.1], float, Series([10.0, 61.1, 12.0])),
            ([61.1, 63.1], object, Series([10, 61.1, 12], dtype=object)),
            # other is object, cannot be cast
            ([(61,), (63,)], "int32", Series([10, (61,), 12])),
            ([(61,), (63,)], "int64", Series([10, (61,), 12])),
            ([(61,), (63,)], float, Series([10.0, (61,), 12.0])),
            ([(61,), (63,)], object, Series([10, (61,), 12])),
        ],
    )
    def test_update_dtypes(self, other, dtype, expected):

ser = Series([10, 11, 12], dtype=dtype)
        other = Series(other, index=[1, 3])
        ser.update(other)

tm.assert_series_equal(ser, expected)

@pytest.mark.parametrize(
        "series, other, expected",
        [
            # update by key
            (
                Series({"a": 1, "b": 2, "c": 3, "d": 4}),
                {"b": 5, "c": np.nan},
                Series({"a": 1, "b": 5, "c": 3, "d": 4}),
            ),
            # update by position
            (Series([1, 2, 3, 4]), [np.nan, 5, 1], Series([1, 5, 1, 4])),
        ],
    )
    def test_update_from_non_series(self, series, other, expected):
        # GH 33215
        series.update(other)
        tm.assert_series_equal(series, expected)

@pytest.mark.parametrize(
        "result, target, expected",
        [
            (
                Series(["a", None], dtype="string"),
                Series([None, "b"], dtype="string"),
                Series(["a", "b"], dtype="string"),
            ),
            (
                Series([1, None], dtype="Int64"),
                Series([None, 2], dtype="Int64"),
                Series([1, 2], dtype="Int64"),
            ),
            (
                Series([True, None], dtype="boolean"),
                Series([None, False], dtype="boolean"),
                Series([True, False], dtype="boolean"),
            ),
            (
                Series(["a", None], dtype=CategoricalDtype(categories=["a", "b"])),
                Series([None, "b"], dtype=CategoricalDtype(categories=["a", "b"])),
                Series(["a", "b"], dtype=CategoricalDtype(categories=["a", "b"])),
            ),
            (
                Series([Timestamp(year=2020, month=1, day=1, tz="Europe/London"), NaT]),
                Series([NaT, Timestamp(year=2020, month=1, day=1, tz="Europe/London")]),
                Series([Timestamp(year=2020, month=1, day=1, tz="Europe/London")] * 2),
            ),
        ],
    )
    def test_update_extension_array_series(self, result, target, expected):
        result.update(target)
        tm.assert_series_equal(result, expected)

import numpy as np import pytest from pandas import CategoricalDtype, DataFrame, NaT, Series, Timestamp import pandas._testing as tm class TestUpdate: def test_update(self): s = Series([1.5, np.nan, 3.0, 4.0, np.nan]) s2 = Series([np.nan, 3.5, np.nan, 5.0]) s.update(s2) expected = Series([1.5, 3.5, 3.0, 5.0, np.nan]) tm.assert_series_equal(s, expected) # GH 3217 df = DataFrame([{"a": 1}, {"a": 3, "b": 2}]) df["c"] = np.nan df["c"].update(Series(["foo"], index=[0])) expected = DataFrame( [[1, np.nan, "foo"], [3, 2.0, np.nan]], columns=["a", "b", "c"] ) tm.assert_frame_equal(df, expected) @pytest.mark.parametrize( "other, dtype, expected", [ # other is int ([61, 63], "int32", Series([10, 61, 12], dtype="int32")), ([61, 63], "int64", Series([10, 61, 12])), ([61, 63], float, Series([10.0, 61.0, 12.0])), ([61, 63], object, Series([10, 61, 12], dtype=object)), # other is float, but can be cast to int ([61.0, 63.0], "int32", Series([10, 61, 12], dtype="int32")), ([61.0, 63.0], "int64", Series([10, 61, 12])), ([61.0, 63.0], float, Series([10.0, 61.0, 12.0])), ([61.0, 63.0], object, Series([10, 61.0, 12], dtype=object)), # others is float, cannot be cast to int ([61.1, 63.1], "int32", Series([10.0, 61.1, 12.0])), ([61.1, 63.1], "int64", Series([10.0, 61.1, 12.0])), ([61.1, 63.1], float, Series([10.0, 61.1, 12.0])), ([61.1, 63.1], object, Series([10, 61.1, 12], dtype=object)), # other is object, cannot be cast ([(61,), (63,)], "int32", Series([10, (61,), 12])), ([(61,), (63,)], "int64", Series([10, (61,), 12])), ([(61,), (63,)], float, Series([10.0, (61,), 12.0])), ([(61,), (63,)], object, Series([10, (61,), 12])), ], ) def test_update_dtypes(self, other, dtype, expected): ser = Series([10, 11, 12], dtype=dtype) other = Series(other, index=[1, 3]) ser.update(other) tm.assert_series_equal(ser, expected) @pytest.mark.parametrize( "series, other, expected", [ # update by key ( Series({"a": 1, "b": 2, "c": 3, "d": 4}), {"b": 5, "c": np.nan}, Series({"a": 1, "b": 5, "c": 3, "d": 4}), ), # update by position (Series([1, 2, 3, 4]), [np.nan, 5, 1], Series([1, 5, 1, 4])), ], ) def test_update_from_non_series(self, series, other, expected): # GH 33215 series.update(other) tm.assert_series_equal(series, expected) @pytest.mark.parametrize( "result, target, expected", [ ( Series(["a", None], dtype="string"), Series([None, "b"], dtype="string"), Series(["a", "b"], dtype="string"), ), ( Series([1, None], dtype="Int64"), Series([None, 2], dtype="Int64"), Series([1, 2], dtype="Int64"), ), ( Series([True, None], dtype="boolean"), Series([None, False], dtype="boolean"), Series([True, False], dtype="boolean"), ), ( Series(["a", None], dtype=CategoricalDtype(categories=["a", "b"])), Series([None, "b"], dtype=CategoricalDtype(categories=["a", "b"])), Series(["a", "b"], dtype=CategoricalDtype(categories=["a", "b"])), ), ( Series([Timestamp(year=2020, month=1, day=1, tz="Europe/London"), NaT]), Series([NaT, Timestamp(year=2020, month=1, day=1, tz="Europe/London")]), Series([Timestamp(year=2020, month=1, day=1, tz="Europe/London")] * 2), ), ], ) def test_update_extension_array_series(self, result, target, expected): result.update(target) tm.assert_series_equal(result, expected)