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
Python
# Python Program illustrating# numpy.take methodimport numpy as geek#array = geek.arange(10).reshape(2, 5)array = [[5, 6, 2, 7, 1], [4, 9, 2, 9, 3]]print("Original array : \n", array)# indices = [0, 4]print("\nTaking Indices\n", geek.take(array, [0, 4]))# indices = [0, 4] with axis = 1print("\nTaking Indices\n", geek.take(array, [0, 4], axis = 1)) |
Output :
Original array : [[5, 6, 2, 7, 1], [4, 9, 2, 9, 3]] Taking Indices [5 1] Taking Indices [[5 1] [4 3]]
References :
https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.take.html#numpy.take
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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