The numpy.put() function replaces specific elements of an array with given values of p_array. Array indexed works on flattened array.
Syntax: numpy.put(array, indices, p_array, mode = 'raise')
Parameters :
array : array_like, target array
indices : index of the values to be fetched
p_array : array_like, values to be placed in target array
mode : [{‘raise’, ‘wrap’, ‘clip’}, optional] mentions how out-of-bound indices will behave
raise : [default]raise an error
wrap : wrap around
clip : clip to the range
# Python Program explaining # numpy.put() import numpy as geek a = geek.arange(5) geek.put(a, [0, 2], [-44, -55]) print("After put : \n", a) |
Output :
After put : [-44, 1, -55, 3, 4]
# Python Program explaining # numpy.put() import numpy as geek a = geek.arange(5) geek.put(a, 22, -5, mode='clip') print("After put : \n", a) |
Output :
array([ 0, 1, 2, 3, -5])
Code Source :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.put.html#numpy.put
Note :
These codes won’t run on online-ID. Please run them on your systems to explore the working
.
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