delete in numpy deletes the entire row and column of the array

This article mainly introduces the delete in numpy to delete the entire row and column of the array. It has a certain reference value. Now I share it with you. Friends in need can refer to it

numpy delete can delete the entire row and column of the array. The following is a brief introduction and example to illustrate the usage of the delete function:

numpy.delete(arr, obj, axis=None)

Parameters:

arr: input array

obj: slice, integer, indicating which sub-array is to be removed

axis: delete the sub-array Axis

axis = 0: Indicates deleting the rows of the array

axis = 1: Indicating deleting the columns of the array

axis = None: Indicates tiling the array as a one-dimensional array Performing index deletion

returns: a new subarray

x = array([[1,2,3],
[4,5,6],
[7,8,9]])

1. Delete the i-th row and more Row operations

x = numpy.delete(x, i, axis = 0)

Delete multiple row operations:

2. Delete the i-th column or multiple columns

x = numpy.delete(x,i , axis = 1)

Delete multi-column operation:

3.axis = None Operation

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