def test_datetime_transform(datetimes):
datetime = Datetime()
for series in datetimes:
assert str(series.dtype) == "object"
transform = datetime.transform(series)
assert str(transform.dtype) == "datetime64[ns]"
assert datetime.datetime_format is not None
def test_datetime_coerce_user_format():
datetime = Datetime(datetime_format="%m/%d/%Y")
dates = pd.Series(["01/01/2017"] * 2 + ["13/12/2017"], name="dates")
warning = (
"Some rows in series 'dates' are incompatible with datetime format "
"'%m/%d/%Y' and have been replaced with null values. You may be able "
"to fix this by using an instantiated Datetime logical type with a different "
"format string specified for this column during Woodwork initialization."
)
with pytest.warns(TypeConversionWarning, match=warning):
transformed = datetime.transform(dates)
assert str(transformed.dtype) == "datetime64[ns]"
assert transformed[2] is pd.NaT
assert datetime.datetime_format == "%m/%d/%Y"