def _validate_fill_value(self, value):
if is_bool(value) or is_bool_dtype(value):
# force conversion to object
# so we don't lose the bools
raise TypeError
elif is_scalar(value) and isna(value):
if is_valid_nat_for_dtype(value, self.dtype):
value = self._na_value
if self.dtype.kind != "f":
# raise so that caller can cast
raise TypeError
else:
# NaT, np.datetime64("NaT"), np.timedelta64("NaT")
raise TypeError
elif is_scalar(value):
if not is_number(value):
# e.g. datetime64, timedelta64, datetime, ...
raise TypeError
elif lib.is_complex(value):
# at least until we have a ComplexIndx
raise TypeError
elif is_float(value) and self.dtype.kind != "f":
if not value.is_integer():
raise TypeError
value = int(value)
return value
def _validate_fill_value(self, value):
if is_bool(value) or is_bool_dtype(value):
# force conversion to object
# so we don't lose the bools
raise TypeError
elif is_scalar(value) and isna(value):
if is_valid_nat_for_dtype(value, self.dtype):
value = self._na_value
if self.dtype.kind != "f":
# raise so that caller can cast
raise TypeError
else:
# NaT, np.datetime64("NaT"), np.timedelta64("NaT")
raise TypeError
elif is_scalar(value):
if not is_number(value):
# e.g. datetime64, timedelta64, datetime, ...
raise TypeError
elif lib.is_complex(value):
# at least until we have a ComplexIndx
raise TypeError
elif is_float(value) and self.dtype.kind != "f":
if not value.is_integer():
raise TypeError
value = int(value)
elif hasattr(value, "dtype") and value.dtype.kind in ["m", "M"]:
# TODO: if we're checking arraylike here, do so systematically
raise TypeError
return value
def _validate_fill_value(self, value):
"""
Convert value to be insertable to ndarray.
"""
if is_bool(value) or is_bool_dtype(value):
# force conversion to object
# so we don't lose the bools
raise TypeError
elif isinstance(value, str) or lib.is_complex(value):
raise TypeError
return value
def _validate_fill_value(self, value):
"""
Convert value to be insertable to ndarray.
"""
if is_bool(value) or is_bool_dtype(value):
# force conversion to object
# so we don't lose the bools
raise TypeError
elif isinstance(value, str) or lib.is_complex(value):
raise TypeError
elif is_scalar(value) and isna(value):
if is_valid_nat_for_dtype(value, self.dtype):
value = self._na_value
else:
# NaT, np.datetime64("NaT"), np.timedelta64("NaT")
raise TypeError
return value