Python Numpy split()
Description :
NumPy generally stands for Numerical Python and it is a general purpose array processing package.it always provides a high performance multidimensional array object.Numpy is usually for creating array of n dimensions.
Method Name :numpy.split(ary, indices_or_sections, axis)
Description : The function splits the array into multiple subarrays along a specified axis. These arrays are especially viewed as in ary.
In this article, I will tell you about the parameter and description
Parameter Name: ary
Description :ndarray
Input array to be split into sub-arrays.
Parameter Name: indices_or_sections
Description :int or 1-D array
It can be an integer, N, showing the number of equal sized subarrays to be formed from the input array along an axis. If this parameter is a 1-D array of sorted integers, the entries indicate the points at which a new subarray is to be created along the axis. If such a split is not happening, an error is being raised.
For example, [5,6] for axis=0 results
ary[:5]
ary[5:6]
ary[6:]
If an index has exceeded the dimension of the array along an axis, an empty sub-array is returned at that time.
Parameter Name: axis
Description :int
The axis along which we want to split by default value is being 0.
Return :A list of sub-arrays is showing into ary.
The first step would be to give syntax
command:
numpy.split(ary, indices_or_sections, axis)
Example :
Code :
import numpy as np
a = np.arange(15)
print ('First array:')
print (a )
print ('\n')
print ('Split the array in 3 equal-sized subarrays:' )
b = np.split(a,5)
print (b )
print ('\n')
print( 'Split the array at positions indicated in 1-D array:' )
b = np.split(a,[4,9])
print( b )
Output :
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