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In this chapter, we will discuss about NumPy delete. This function returns a new array with the specified subarray deleted from the input array. As in case of insert() function, if the axis parameter is not used, the input array is flattened. The function takes the following parameters −

Numpy.delete(arr, obj, axis)

Where,

Example Of NumPy delete

import numpy as np 
a = np.arange(12).reshape(3,4) 

print 'First array:' 
print a 
print '\n'  

print 'Array flattened before delete operation as axis not used:' 
print np.delete(a,5) 
print '\n'  

print 'Column 2 deleted:'  
print np.delete(a,1,axis = 1) 
print '\n'  

print 'A slice containing alternate values from array deleted:' 
a = np.array([1,2,3,4,5,6,7,8,9,10]) 
print np.delete(a, np.s_[::2])

Its output would be as follows −

First array:
[[ 0 1 2 3]
 [ 4 5 6 7]
 [ 8 9 10 11]]

Array flattened before delete operation as axis not used:
[ 0 1 2 3 4 6 7 8 9 10 11]

Column 2 deleted:
[[ 0 2 3]
 [ 4 6 7]
 [ 8 10 11]]

A slice containing alternate values from array deleted:
[ 2 4 6 8 10]