Delete in NumPy deletes an array of entire rows and columns

This article mainly introduces the deletion of the numpy in the delete array of the entire row and column, has a certain reference value, now share to everyone, the need for friends can refer to

NumPy Delete is the whole row and column of the array can be deleted, and the following is a brief description of the delete function usage:

Numpy.delete (arr, obj, Axis=none)

Parameters:

ARR: input Array

Obj: Slice, integer, indicating which sub-array to be removed

Axis: Delete the axis of a sub-array

Axis = 0: The row that deletes the array

Axis = 1: A column that deletes an array

Axis = None: Indicates that the array is tiled by one-dimensional array for index deletion

Return: A new sub-array

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

1. Delete line I and multiline operations

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

To delete a multiline operation:

2. Delete Column I or multi-column operations

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

To delete a multi-column operation:

3.axis = None operation

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