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modified changes for datetime and NaT Objects Behavior closes #43280 #43289

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modified changes for datetime and NaT Objects Behavior closes #43280 #43289

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4a8fbc8
modified changes for datetime and NaT Objects Behavior
Navaneethan2503 Aug 29, 2021
2e082a1
Scalar and series argument of datatime datatype and NaT Behaviour solved
Navaneethan2503 Aug 30, 2021
0db0265
added test and release notes
Navaneethan2503 Aug 31, 2021
a4ae1cc
changed indentation error and tests
Navaneethan2503 Aug 31, 2021
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9 changes: 5 additions & 4 deletions pandas/core/tools/numeric.py
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Original file line number Diff line number Diff line change
Expand Up @@ -175,7 +175,10 @@ def to_numeric(arg, errors="raise", downcast=None):
if is_numeric_dtype(values_dtype):
pass
elif is_datetime_or_timedelta_dtype(values_dtype):
values = values.view(np.int64)
if pd.isnull(arg.values):
values = np.nan
else:
values = pd.to_datetime(values).strftime("%Y%m%d").astype(np.int64)
else:
values = ensure_object(values)
coerce_numeric = errors not in ("ignore", "raise")
Expand Down Expand Up @@ -236,7 +239,5 @@ def to_numeric(arg, errors="raise", downcast=None):
# because we want to coerce to numeric if possible,
# do not use _shallow_copy
return pd.Index(values, name=arg.name)
elif is_scalars:
return values[0]
else:
return values
return values[0]