xorbits.numpy.put#

xorbits.numpy.put(a, ind, v, mode='raise')#

Replaces specified elements of an array with given values.

The indexing works on the flattened target array. put is roughly equivalent to:

a.flat[ind] = v
Parameters

  • a (ndarray) – Target array.

  • ind (array_like) – Target indices, interpreted as integers.

  • v (array_like) – Values to place in a at target indices. If v is shorter than ind it will be repeated as necessary.

  • mode ({'raise', 'wrap', 'clip'}, optional) –

    Specifies how out-of-bounds indices will behave.

    • ’raise’ – raise an error (default)

    • ’wrap’ – wrap around

    • ’clip’ – clip to the range

    ’clip’ mode means that all indices that are too large are replaced by the index that addresses the last element along that axis. Note that this disables indexing with negative numbers. In ‘raise’ mode, if an exception occurs the target array may still be modified.

See also

putmask, place

put_along_axis

Put elements by matching the array and the index arrays

Examples

>>> a = np.arange(5)  
>>> np.put(a, [0, 2], [-44, -55])  
>>> a  
array([-44,   1, -55,   3,   4])

>>> a = np.arange(5)  
>>> np.put(a, 22, -5, mode='clip')  
>>> a  
array([ 0,  1,  2,  3, -5])

Warning

This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.