sparse.clip(a, a_min=None, a_max=None, out=None)[source]

Clip (limit) the values in the array.

Return an array whose values are limited to [min, max]. One of min or max must be given.

  • a

  • a_min (scalar or SparseArray or None) – Minimum value. If None, clipping is not performed on lower interval edge.

  • a_max (scalar or SparseArray or None) – Maximum value. If None, clipping is not performed on upper interval edge.

  • out (SparseArray, optional) – If provided, the results will be placed in this array. It may be the input array for in-place clipping. out must be of the right shape to hold the output. Its type is preserved.


clipped_array – An array with the elements of self, but where values < min are replaced with min, and those > max with max.

Return type:



>>> import sparse
>>> x = sparse.COO.from_numpy([0, 0, 0, 1, 2, 3])
>>> sparse.clip(x, a_min=1).todense()  
array([1, 1, 1, 1, 2, 3])
>>> sparse.clip(x, a_max=1).todense()  
array([0, 0, 0, 1, 1, 1])
>>> sparse.clip(x, a_min=1, a_max=2).todense()  
array([1, 1, 1, 1, 2, 2])

See also


Equivalent NumPy function