numpy.place() in Python

The numpy.place() method makes changes in the array according the parameters - conditions and value(uses first N-values to put into array as per the mask being set by the user). It works opposite to numpy.extract(). 
 

Syntax:  

numpy.place(array, mask, vals) 

Parameters : 

array : [ndarray] Input array, we need to make changes into
mask : [array_like]Boolean that must have same size as that of the input array
value : Values to put into the array. Based on the mask condition it adds only N-elements
 to the array. If in case values in val are smaller than the mask, same values get repeated.

Return : 

Array with change elements i.e. new elements being put

Output : 

Original array : 
 [[ 0 1 2 3]
 [ 4 5 6 7]
 [ 8 9 10 11]]

Putting up elements to array: 
 [[ 0 1 2 3]
 [ 4 5 15 25]
 [35 15 25 35]]


Original array1 : 
 [[ 0 1 2 3]
 [ 4 5 15 25]
 [35 15 25 35]]

Putting new elements to array1 : 
 [[ 0 1 2]
 [44 55 44]]

Note : 
These codes won't run on online IDE's. So please, run them on your systems to explore the working.