put(a, ind, v, mode='raise')
The indexing works on the flattened target array. put
is roughly equivalent to:
a.flat[ind] = v
Target array.
Target indices, interpreted as integers.
Values to place in a at target indices. If v is shorter than :None:None:`ind` it will be repeated as necessary.
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.
Replaces specified elements of an array with given values.
put_along_axis
Put elements by matching the array and the index arrays
>>> a = np.arange(5)
... np.put(a, [0, 2], [-44, -55])
... a array([-44, 1, -55, 3, 4])
>>> a = np.arange(5)See :
... np.put(a, 22, -5, mode='clip')
... a array([ 0, 1, 2, 3, -5])
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.extract
numpy.put
numpy.place
numpy.core._multiarray_umath.putmask
numpy.putmask
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