def __new__(cls,
input_array,
row_axes=None,
col_axes=None,
axis_names=None):
if not isinstance(input_array, cls.info_base):
raise ValueError("Array to convert must be instance of " +
str(cls.info_base))
obj = input_array.view(cls)
if 'type' in obj.info:
if axis_names is not None or \
row_axes is not None or \
col_axes is not None:
warnings.warn("Initialization argument ignored. Requisite "
"metadata for matrix already exists. "
"Clear info dictionary if you want opposite "
"behaviour.")
if obj.info['type'] != 'mat':
raise ValueError("Meta data present is incompatible.")
helpers.check_axis_names(obj)
helpers.check_rows_cols(obj)
else:
if row_axes is None and \
col_axes is None and \
(input_array.ndim == 2):
row_axes = (0, )
col_axes = (1, )
else:
helpers.check_rows_cols(input_array, row_axes, col_axes)
helpers.set_type_axes(obj, 'mat', axis_names)
obj.rows = row_axes
obj.cols = col_axes
return obj
def __new__(cls, input_array, axis_names=None):
if not isinstance(input_array, cls.info_base):
raise ValueError("Array to convert must be instance of " +
str(cls.info_base))
obj = input_array.view(cls)
if 'type' in obj.info:
if axis_names is not None:
warnings.warn("Initialization argument ignored. Requisite "
"metadata for vector already exists. "
"Clear info dictionary if you want opposite "
"behaviour.")
if obj.info['type'] != 'vect':
raise ValueError("Meta data present is incompatible.")
helpers.check_axis_names(obj)
else:
helpers.set_type_axes(obj, 'vect', axis_names)
return obj
def __new__(cls, input_array, axis_names=None):
if not isinstance(input_array, cls.info_base):
raise ValueError("Array to convert must be instance of " +
str(cls.info_base))
obj = input_array.view(cls)
if 'type' in obj.info:
if axis_names is not None:
warnings.warn("Initialization argument ignored. Requisite "
"metadata for vector already exists. "
"Clear info dictionary if you want opposite "
"behaviour.")
if obj.info['type'] != 'vect':
raise ValueError("Meta data present is incompatible.")
helpers.check_axis_names(obj)
else:
helpers.set_type_axes(obj, 'vect', axis_names)
return obj
def __new__(cls, input_array, row_axes=None, col_axes=None,
axis_names=None):
if not isinstance(input_array, cls.info_base):
raise ValueError("Array to convert must be instance of " +
str(cls.info_base))
obj = input_array.view(cls)
if 'type' in obj.info:
if axis_names is not None or \
row_axes is not None or \
col_axes is not None:
warnings.warn("Initialization argument ignored. Requisite "
"metadata for matrix already exists. "
"Clear info dictionary if you want opposite "
"behaviour.")
if obj.info['type'] != 'mat':
raise ValueError("Meta data present is incompatible.")
helpers.check_axis_names(obj)
helpers.check_rows_cols(obj)
else:
if row_axes is None and \
col_axes is None and \
(input_array.ndim == 2):
row_axes = (0,)
col_axes = (1,)
else:
helpers.check_rows_cols(input_array, row_axes, col_axes)
helpers.set_type_axes(obj, 'mat', axis_names)
obj.rows = row_axes
obj.cols = col_axes
return obj
