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numpy.take() in Python

Last Updated : 8 Mar, 2024

The numpy.take() function returns elements from array along the mentioned axis and indices.
 

Syntax: numpy.take(array, indices, axis = None, out = None, mode ='raise')


Parameters : 

array : array_like, input array
indices : index of the values to be fetched
axis : [int, optional] axis over which we need to fetch the elements; 
 By Default[axis = None], flattened input is used
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
out : [ndarray, optional]to place result within array


Returns : 

ndarray; array has the same type


 

Output : 
 

Original array : 
 [[5, 6, 2, 7, 1], [4, 9, 2, 9, 3]]

Taking Indices
 [5 1]

Taking Indices
 [[5 1]
 [4 3]]


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

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