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loc row assignment with NaN and NaT coerces to either NaN or NaT #12499
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fyi - quickie workaround:
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Update: This almost looks fixed
However the element in Also this looks incorrect as well:
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@mroeschke making sure we're on the same page before i write (and xfail) a test: in [11] we expect df["one"] to be float64 and have nan instead of NaT, right? |
Correct |
traceback
Same if you
loc[1] = [np.nan, np.nan]
. Seems the problem is loc assignment involving NaN for a datetime index column. Not sure the full breadth of the bug.Expected Output
output of
pd.show_versions()
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