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TST: ro_replace changing dtype of series #50664

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Merged
merged 9 commits into from
Jan 12, 2023
Merged

TST: ro_replace changing dtype of series #50664

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81c9858
added test based on issue #25797 to check if changing dtype of series…
pooja-subramaniam Jan 10, 2023
6e50525
Merge remote-tracking branch 'upstream/main'
pooja-subramaniam Jan 10, 2023
d21d88e
Merge branch 'main' of https://github.com/pandas-dev/pandas
pooja-subramaniam Jan 11, 2023
b2621b1
Merge branch 'pandas-dev:main' into main
pooja-subramaniam Jan 11, 2023
83d9801
changed single quotes to double and added new line at the end
pooja-subramaniam Jan 11, 2023
e269bb7
Merge branch 'main' of https://github.com/pooja-subramaniam/pandas
pooja-subramaniam Jan 11, 2023
fe3e454
remove print statements and unnecessary assert, and use expected resu…
pooja-subramaniam Jan 11, 2023
ca92c77
change assert statements to compare dataframes rather than only dtype
pooja-subramaniam Jan 11, 2023
250c044
remove redundant expected assignment statements
pooja-subramaniam Jan 12, 2023
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15 changes: 15 additions & 0 deletions pandas/tests/series/methods/test_replace.py
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Original file line number Diff line number Diff line change
Expand Up @@ -675,3 +675,18 @@ def test_replace_value_none_dtype_numeric(self, val):
result = ser.replace(val, None)
expected = pd.Series([1, None], dtype=object)
tm.assert_series_equal(result, expected)

def test_replace_change_dtype_series(self):
# GH#25797
df = pd.DataFrame.from_dict({"Test": ["0.5", True, "0.6"]})
df["Test"] = df["Test"].replace([True], [np.nan])
expected = pd.DataFrame.from_dict({"Test": ["0.5", np.nan, "0.6"]})
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One last comment: Could you define expected only once after line 681 and reuse it for all assert_frame_equal statements? It's not necessary to define it multiple times when it's the same object :)

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Right! How did I miss that one! Thanks again ;)

tm.assert_frame_equal(df, expected)

df = pd.DataFrame.from_dict({"Test": ["0.5", None, "0.6"]})
df["Test"] = df["Test"].replace([None], [np.nan])
tm.assert_frame_equal(df, expected)

df = pd.DataFrame.from_dict({"Test": ["0.5", None, "0.6"]})
df["Test"] = df["Test"].fillna(np.nan)
tm.assert_frame_equal(df, expected)