NumPy – split. This function divides the array into subarrays along a specified axis. The function takes three parameters.
numpy.split(ary, indices_or_sections, axis)
Where,
| Sr.No. | Parameter & Description |
|---|---|
| 1 | ary Input array to be split |
| 2 | indices_or_sectionsCan be an integer, indicating the number of equal-sized subarrays to be created from the input array. If this parameter is a 1-D array, the entries indicate the points at which a new subarray is to be created. |
| 3 | axisDefault is 0 |
Example Of NumPy split
import numpy as np a = np.arange(9) print 'First array:' print a print '\n' print 'Split the array in 3 equal-sized subarrays:' b = np.split(a,3) print b print '\n' print 'Split the array at positions indicated in 1-D array:' b = np.split(a,[4,7]) print b
Its output is as follows −
First array: [0 1 2 3 4 5 6 7 8] Split the array in 3 equal-sized subarrays: [array([0, 1, 2]), array([3, 4, 5]), array([6, 7, 8])] Split the array at positions indicated in 1-D array: [array([0, 1, 2, 3]), array([4, 5, 6]), array([7, 8])]
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