pad
- sparse.pad(array, pad_width, mode='constant', **kwargs)[source]
Performs the equivalent of
numpy.padforSparseArray. Note that this function returns a new array instead of a view.- Parameters:
array (SparseArray) – Sparse array which is to be padded.
pad_width ({sequence, array_like, int}) – Number of values padded to the edges of each axis. ((before_1, after_1), … (before_N, after_N)) unique pad widths for each axis. ((before, after),) yields same before and after pad for each axis. (pad,) or int is a shortcut for before = after = pad width for all axes.
mode (str) – Pads to a constant value which is fill value. Currently only constant mode is implemented
constant_values (int) – The values to set the padded values for each axis. Default is 0. This must be same as fill value.
- Returns:
The padded sparse array.
- Return type:
- Raises:
NotImplementedError – If mode != ‘constant’ or there are unknown arguments.
ValueError – If constant_values != self.fill_value
See also
numpy.padNumPy equivalent function