zeros_like
- sparse.zeros_like(a, dtype=None, shape=None, format=None, **kwargs)[source]
Return a SparseArray of zeros with the same shape and type as
a
.- Parameters:
a (array_like) – The shape and data-type of the result will match those of a.
dtype (data-type, optional) – Overrides the data type of the result.
format (str, optional) – A format string.
compressed_axes (iterable, optional) – The axes to compress if returning a GCXS array.
- Returns:
out – Array of zeros with the same shape and type as a.
- Return type:
Examples
>>> x = np.ones((2, 3), dtype="i8") >>> zeros_like(x).todense() array([[0, 0, 0], [0, 0, 0]])