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_update.py (4259B)

import numpy as np
import pytest

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

class TestDataFrameUpdate:
    def test_update_nan(self):
        # #15593 #15617
        # test 1
        df1 = DataFrame({"A": [1.0, 2, 3], "B": date_range("2000", periods=3)})
        df2 = DataFrame({"A": [None, 2, 3]})
        expected = df1.copy()
        df1.update(df2, overwrite=False)

tm.assert_frame_equal(df1, expected)

# test 2
        df1 = DataFrame({"A": [1.0, None, 3], "B": date_range("2000", periods=3)})
        df2 = DataFrame({"A": [None, 2, 3]})
        expected = DataFrame({"A": [1.0, 2, 3], "B": date_range("2000", periods=3)})
        df1.update(df2, overwrite=False)

tm.assert_frame_equal(df1, expected)

def test_update(self):
        df = DataFrame(
            [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]]
        )

other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3])

df.update(other)

expected = DataFrame(
            [[1.5, np.nan, 3], [3.6, 2, 3], [1.5, np.nan, 3], [1.5, np.nan, 7.0]]
        )
        tm.assert_frame_equal(df, expected)

def test_update_dtypes(self):

# gh 3016
        df = DataFrame(
            [[1.0, 2.0, False, True], [4.0, 5.0, True, False]],
            columns=["A", "B", "bool1", "bool2"],
        )

other = DataFrame([[45, 45]], index=[0], columns=["A", "B"])
        df.update(other)

expected = DataFrame(
            [[45.0, 45.0, False, True], [4.0, 5.0, True, False]],
            columns=["A", "B", "bool1", "bool2"],
        )
        tm.assert_frame_equal(df, expected)

def test_update_nooverwrite(self):
        df = DataFrame(
            [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]]
        )

other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3])

df.update(other, overwrite=False)

expected = DataFrame(
            [[1.5, np.nan, 3], [1.5, 2, 3], [1.5, np.nan, 3], [1.5, np.nan, 3.0]]
        )
        tm.assert_frame_equal(df, expected)

def test_update_filtered(self):
        df = DataFrame(
            [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]]
        )

other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3])

df.update(other, filter_func=lambda x: x > 2)

expected = DataFrame(
            [[1.5, np.nan, 3], [1.5, np.nan, 3], [1.5, np.nan, 3], [1.5, np.nan, 7.0]]
        )
        tm.assert_frame_equal(df, expected)

@pytest.mark.parametrize(
        "bad_kwarg, exception, msg",
        [
            # errors must be 'ignore' or 'raise'
            ({"errors": "something"}, ValueError, "The parameter errors must.*"),
            ({"join": "inner"}, NotImplementedError, "Only left join is supported"),
        ],
    )
    def test_update_raise_bad_parameter(self, bad_kwarg, exception, msg):
        df = DataFrame([[1.5, 1, 3.0]])
        with pytest.raises(exception, match=msg):
            df.update(df, **bad_kwarg)

def test_update_raise_on_overlap(self):
        df = DataFrame(
            [[1.5, 1, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]]
        )

other = DataFrame([[2.0, np.nan], [np.nan, 7]], index=[1, 3], columns=[1, 2])
        with pytest.raises(ValueError, match="Data overlaps"):
            df.update(other, errors="raise")

def test_update_from_non_df(self):
        d = {"a": Series([1, 2, 3, 4]), "b": Series([5, 6, 7, 8])}
        df = DataFrame(d)

d["a"] = Series([5, 6, 7, 8])
        df.update(d)

expected = DataFrame(d)

tm.assert_frame_equal(df, expected)

d = {"a": [1, 2, 3, 4], "b": [5, 6, 7, 8]}
        df = DataFrame(d)

d["a"] = [5, 6, 7, 8]
        df.update(d)

expected = DataFrame(d)

tm.assert_frame_equal(df, expected)

def test_update_datetime_tz(self):
        # GH 25807
        result = DataFrame([pd.Timestamp("2019", tz="UTC")])
        result.update(result)
        expected = DataFrame([pd.Timestamp("2019", tz="UTC")])
        tm.assert_frame_equal(result, expected)

import numpy as np import pytest import pandas as pd from pandas import DataFrame, Series, date_range import pandas._testing as tm class TestDataFrameUpdate: def test_update_nan(self): # #15593 #15617 # test 1 df1 = DataFrame({"A": [1.0, 2, 3], "B": date_range("2000", periods=3)}) df2 = DataFrame({"A": [None, 2, 3]}) expected = df1.copy() df1.update(df2, overwrite=False) tm.assert_frame_equal(df1, expected) # test 2 df1 = DataFrame({"A": [1.0, None, 3], "B": date_range("2000", periods=3)}) df2 = DataFrame({"A": [None, 2, 3]}) expected = DataFrame({"A": [1.0, 2, 3], "B": date_range("2000", periods=3)}) df1.update(df2, overwrite=False) tm.assert_frame_equal(df1, expected) def test_update(self): df = DataFrame( [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]] ) other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3]) df.update(other) expected = DataFrame( [[1.5, np.nan, 3], [3.6, 2, 3], [1.5, np.nan, 3], [1.5, np.nan, 7.0]] ) tm.assert_frame_equal(df, expected) def test_update_dtypes(self): # gh 3016 df = DataFrame( [[1.0, 2.0, False, True], [4.0, 5.0, True, False]], columns=["A", "B", "bool1", "bool2"], ) other = DataFrame([[45, 45]], index=[0], columns=["A", "B"]) df.update(other) expected = DataFrame( [[45.0, 45.0, False, True], [4.0, 5.0, True, False]], columns=["A", "B", "bool1", "bool2"], ) tm.assert_frame_equal(df, expected) def test_update_nooverwrite(self): df = DataFrame( [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]] ) other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3]) df.update(other, overwrite=False) expected = DataFrame( [[1.5, np.nan, 3], [1.5, 2, 3], [1.5, np.nan, 3], [1.5, np.nan, 3.0]] ) tm.assert_frame_equal(df, expected) def test_update_filtered(self): df = DataFrame( [[1.5, np.nan, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]] ) other = DataFrame([[3.6, 2.0, np.nan], [np.nan, np.nan, 7]], index=[1, 3]) df.update(other, filter_func=lambda x: x > 2) expected = DataFrame( [[1.5, np.nan, 3], [1.5, np.nan, 3], [1.5, np.nan, 3], [1.5, np.nan, 7.0]] ) tm.assert_frame_equal(df, expected) @pytest.mark.parametrize( "bad_kwarg, exception, msg", [ # errors must be 'ignore' or 'raise' ({"errors": "something"}, ValueError, "The parameter errors must.*"), ({"join": "inner"}, NotImplementedError, "Only left join is supported"), ], ) def test_update_raise_bad_parameter(self, bad_kwarg, exception, msg): df = DataFrame([[1.5, 1, 3.0]]) with pytest.raises(exception, match=msg): df.update(df, **bad_kwarg) def test_update_raise_on_overlap(self): df = DataFrame( [[1.5, 1, 3.0], [1.5, np.nan, 3.0], [1.5, np.nan, 3], [1.5, np.nan, 3]] ) other = DataFrame([[2.0, np.nan], [np.nan, 7]], index=[1, 3], columns=[1, 2]) with pytest.raises(ValueError, match="Data overlaps"): df.update(other, errors="raise") def test_update_from_non_df(self): d = {"a": Series([1, 2, 3, 4]), "b": Series([5, 6, 7, 8])} df = DataFrame(d) d["a"] = Series([5, 6, 7, 8]) df.update(d) expected = DataFrame(d) tm.assert_frame_equal(df, expected) d = {"a": [1, 2, 3, 4], "b": [5, 6, 7, 8]} df = DataFrame(d) d["a"] = [5, 6, 7, 8] df.update(d) expected = DataFrame(d) tm.assert_frame_equal(df, expected) def test_update_datetime_tz(self): # GH 25807 result = DataFrame([pd.Timestamp("2019", tz="UTC")]) result.update(result) expected = DataFrame([pd.Timestamp("2019", tz="UTC")]) tm.assert_frame_equal(result, expected)