def _delegate_property_get(self, name):
from pandas import Series
values = self._get_values()
result = getattr(values, name)
# maybe need to upcast (ints)
if isinstance(result, np.ndarray):
if is_integer_dtype(result):
result = result.astype('int64')
elif not is_list_like(result):
return result
result = np.asarray(result)
# blow up if we operate on categories
if self.orig is not None:
result = take_1d(result, self.orig.cat.codes)
index = self.orig.index
else:
index = self._parent.index
# return the result as a Series, which is by definition a copy
result = Series(result, index=index, name=self.name)
# setting this object will show a SettingWithCopyWarning/Error
result._is_copy = ("modifications to a property of a datetimelike "
"object are not supported and are discarded. "
"Change values on the original.")
return result
def _delegate_property_get(self, name):
from pandas import Series
values = self._get_values()
result = getattr(values, name)
# maybe need to upcast (ints)
if isinstance(result, np.ndarray):
if is_integer_dtype(result):
result = result.astype('int64')
elif not is_list_like(result):
return result
result = np.asarray(result)
# blow up if we operate on categories
if self.orig is not None:
result = take_1d(result, self.orig.cat.codes)
index = self.orig.index
else:
index = self.index
# return the result as a Series, which is by definition a copy
result = Series(result, index=index, name=self.name)
# setting this object will show a SettingWithCopyWarning/Error
result._is_copy = ("modifications to a property of a datetimelike "
"object are not supported and are discarded. "
"Change values on the original.")
return result
def _delegate_method(self, name, *args, **kwargs):
from pandas import Series
method = getattr(self.values, name)
result = method(*args, **kwargs)
if not is_list_like(result):
return result
result = Series(result, index=self.index, name=self.name)
# setting this object will show a SettingWithCopyWarning/Error
result._is_copy = ("modifications to a method of a datetimelike "
"object are not supported and are discarded. "
"Change values on the original.")
return result
def _delegate_method(self, name, *args, **kwargs):
from pandas import Series
method = getattr(self.values, name)
result = method(*args, **kwargs)
if not is_list_like(result):
return result
result = Series(result, index=self.index, name=self.name)
# setting this object will show a SettingWithCopyWarning/Error
result._is_copy = ("modifications to a method of a datetimelike "
"object are not supported and are discarded. "
"Change values on the original.")
return result