numpy.vsplit() function split an array into multiple sub-arrays vertically (row-wise). vsplit is equivalent to split with axis=0 (default), the array is always split along the first axis regardless of the array dimension.
Syntax : numpy.vsplit(arr, indices_or_sections)
Parameters :
arr : [ndarray] Array to be divided into sub-arrays.
indices_or_sections : [int or 1-D array] If indices_or_sections is an integer, N, the array will be divided into N equal arrays along axis.
If indices_or_sections is a 1-D array of sorted integers, the entries indicate where along axis the array is split
Return : [ndarray] A list of sub-arrays.
Code #1 :
# Python program explaining # numpy.vsplit() function # importing numpy as geek import numpy as geek arr = geek.arange(9.0).reshape(3, 3) gfg = geek.vsplit(arr, 1) print (gfg) |
Output :
[array([[ 0., 1., 2.],
[ 3., 4., 5.],
[ 6., 7., 8.]])]
Code #2 :
# Python program explaining # numpy.vsplit() function # importing numpy as geek import numpy as geek arr = geek.arange(36.0).reshape(6, 6) gfg = geek.vsplit(arr, 2) print (gfg) |
Output :
[array([[ 0., 1., 2., 3., 4., 5.],
[ 6., 7., 8., 9., 10., 11.],
[ 12., 13., 14., 15., 16., 17.]]), array([[ 18., 19., 20., 21., 22., 23.],
[ 24., 25., 26., 27., 28., 29.],
[ 30., 31., 32., 33., 34., 35.]])]
