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BUG: Change of behavior in casting of datetime-like types in MultiIndex #44081
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Original file line number | Diff line number | Diff line change |
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@@ -1,4 +1,7 @@ | ||
from datetime import datetime | ||
from datetime import ( | ||
date, | ||
datetime, | ||
) | ||
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import numpy as np | ||
import pytest | ||
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@@ -179,3 +182,23 @@ def test_reset_index_dtypes_on_empty_series_with_multiindex(array, dtype): | |
{"level_0": np.int64, "level_1": np.float64, "level_2": dtype, 0: object} | ||
) | ||
tm.assert_series_equal(result, expected) | ||
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def test_set_index_MultiIndex(): | ||
df = DataFrame( | ||
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. since you're testing the DataFrame behavior, this probably goes in the tests/frame/methods file There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Actually in this file, there are a lot of tests regarding setting of indexes, hence I have kept this file. |
||
{ | ||
"date": [date(2021, 8, 1), date(2021, 8, 2), date(2021, 8, 3)], | ||
"ticker": ["aapl", "goog", "yhoo"], | ||
"value": [5.63269, 4.45609, 2.74843], | ||
} | ||
) | ||
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df.set_index(["date", "ticker"], inplace=True) | ||
res = df.index.get_level_values(0) | ||
ex = pd.DatetimeIndex( | ||
["2021-08-01", "2021-08-02", "2021-08-03"], | ||
dtype="datetime64[ns]", | ||
name="date", | ||
freq=None, | ||
) | ||
tm.assert_index_equal(ex, res) |
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this check absolutely doesn't belong here