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
# 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)
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Output :
After put : [-44, 1, -55, 3, 4]
Python
# 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)
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Output :
array([ 0, 1, 2, 3, -5])
Note :
These codes won’t run on online IDE’s. So please, run them on your systems to explore the working.