def _set_new_item(self, name: str, value: np.ndarray) -> None:
"""Set a new column and avoid SettingWithCopyWarning by using
pandas internal APIs
see: https://github.com/pandas-dev/pandas/blob/v1.1.0/pandas/core/frame.py#L3114
""" # noqa: E501
NDFrame._set_item(self, name, value)
def __setitem__(self, key, value):
_, N, K = self.shape
if isinstance(value, DataFrame):
value = value.reindex(index=self.major_axis, columns=self.minor_axis)
mat = value.values
elif isinstance(value, np.ndarray):
assert value.shape == (N, K)
mat = np.asarray(value)
elif np.isscalar(value):
dtype = _infer_dtype(value)
mat = np.empty((N, K), dtype=dtype)
mat.fill(value)
mat = mat.reshape((1, N, K))
NDFrame._set_item(self, key, mat)
def __setitem__(self, key, value):
_, N, K = self.shape
if isinstance(value, DataFrame):
value = value.reindex(index=self.major_axis,
columns=self.minor_axis)
mat = value.values
elif isinstance(value, np.ndarray):
assert(value.shape == (N, K))
mat = np.asarray(value)
elif np.isscalar(value):
dtype = _infer_dtype(value)
mat = np.empty((N, K), dtype=dtype)
mat.fill(value)
mat = mat.reshape((1, N, K))
NDFrame._set_item(self, key, mat)
def __setitem__(self, key, value):
_, N, K = self.shape
if isinstance(value, DataFrame):
value = value.reindex(index=self.major_axis, columns=self.minor_axis)
mat = value.values
elif isinstance(value, np.ndarray):
if value.shape != (N, K):
raise AssertionError(("Shape of values must be (%d, %d), " "not (%d, %d)") % ((N, K) + values.shape))
mat = np.asarray(value)
elif np.isscalar(value):
dtype = _infer_dtype(value)
mat = np.empty((N, K), dtype=dtype)
mat.fill(value)
else:
raise TypeError("Cannot set item of type: %s" % str(type(value)))
mat = mat.reshape((1, N, K))
NDFrame._set_item(self, key, mat)
def __setitem__(self, key, value):
shape = tuple(self.shape)
if isinstance(value, self._constructor_sliced):
value = value.reindex(
**self._construct_axes_dict_for_slice(self._AXIS_ORDERS[1:]))
mat = value.values
elif isinstance(value, np.ndarray):
if not ((value.shape == shape[1:])):
raise AssertionError()
mat = np.asarray(value)
elif np.isscalar(value):
dtype, value = _infer_dtype_from_scalar(value)
mat = np.empty(shape[1:], dtype=dtype)
mat.fill(value)
else:
raise TypeError('Cannot set item of type: %s' % str(type(value)))
mat = mat.reshape(tuple([1]) + shape[1:])
NDFrame._set_item(self, key, mat)
def __setitem__(self, key, value):
shape = tuple(self.shape)
if isinstance(value, self._constructor_sliced):
value = value.reindex(
**self._construct_axes_dict_for_slice(self._AXIS_ORDERS[1:]))
mat = value.values
elif isinstance(value, np.ndarray):
if not ((value.shape == shape[1:])):
raise AssertionError()
mat = np.asarray(value)
elif np.isscalar(value):
dtype, value = _infer_dtype_from_scalar(value)
mat = np.empty(shape[1:], dtype=dtype)
mat.fill(value)
else:
raise TypeError('Cannot set item of type: %s' % str(type(value)))
mat = mat.reshape(tuple([1]) + shape[1:])
NDFrame._set_item(self, key, mat)
def __setitem__(self, key, value):
shape = tuple(self.shape)
if isinstance(value, self._constructor_sliced):
value = value.reindex(**self._construct_axes_dict_for_slice(self._AXIS_ORDERS[1:]))
mat = value.values
elif isinstance(value, np.ndarray):
if value.shape != shape[1:]:
raise ValueError(
"shape of value must be {0}, shape of given " "object was {1}".format(shape[1:], value.shape)
)
mat = np.asarray(value)
elif np.isscalar(value):
dtype, value = _infer_dtype_from_scalar(value)
mat = np.empty(shape[1:], dtype=dtype)
mat.fill(value)
else:
raise TypeError("Cannot set item of type: %s" % str(type(value)))
mat = mat.reshape(tuple([1]) + shape[1:])
NDFrame._set_item(self, key, mat)
def __setitem__(self, key, value):
shape = tuple(self.shape)
if isinstance(value, self._constructor_sliced):
value = value.reindex(
**self._construct_axes_dict_for_slice(self._AXIS_ORDERS[1:]))
mat = value.values
elif isinstance(value, np.ndarray):
if value.shape != shape[1:]:
raise ValueError('shape of value must be {0}, shape of given '
'object was {1}'.format(
shape[1:], tuple(map(int, value.shape))))
mat = np.asarray(value)
elif np.isscalar(value):
dtype, value = _infer_dtype_from_scalar(value)
mat = np.empty(shape[1:], dtype=dtype)
mat.fill(value)
else:
raise TypeError('Cannot set item of type: %s' % str(type(value)))
mat = mat.reshape(tuple([1]) + shape[1:])
NDFrame._set_item(self, key, mat)
def __setitem__(self, key, value):
_, N, K = self.shape
if isinstance(value, DataFrame):
value = value.reindex(index=self.major_axis,
columns=self.minor_axis)
mat = value.values
elif isinstance(value, np.ndarray):
if value.shape != (N, K):
raise AssertionError(
('Shape of values must be (%d, %d), '
'not (%d, %d)') % ((N, K) + values.shape))
mat = np.asarray(value)
elif np.isscalar(value):
dtype = _infer_dtype(value)
mat = np.empty((N, K), dtype=dtype)
mat.fill(value)
else:
raise TypeError('Cannot set item of type: %s' % str(type(value)))
mat = mat.reshape((1, N, K))
NDFrame._set_item(self, key, mat)
def __setitem__(self, key, value):
_, N, K = self.shape
# XXX
if isinstance(value, LongPanel):
if len(value.items) != 1:
raise ValueError('Input panel must have only one item!')
value = value.to_wide()[value.items[0]]
if isinstance(value, DataFrame):
value = value.reindex(index=self.major_axis,
columns=self.minor_axis)
mat = value.values
elif isinstance(value, np.ndarray):
assert(value.shape == (N, K))
mat = np.asarray(value)
elif np.isscalar(value):
dtype = _infer_dtype(value)
mat = np.empty((N, K), dtype=dtype)
mat.fill(value)
mat = mat.reshape((1, N, K))
NDFrame._set_item(self, key, mat)
