numpy.delete删除一列或多列的方法

基础介绍:

numpy.delete

numpy.delete(arr, obj, axis=None)[source]

Return a new array with sub-arrays along an axis deleted. For a one dimensional array, this returns those entries not returned by arr[obj].

Parameters:

arr : array_like

Input array.

obj : slice, int or array of ints

Indicate which sub-arrays to remove.

axis : int, optional

The axis along which to delete the subarray defined by obj. If axis is None, obj is applied to the flattened array.

Returns:

out : ndarray

A copy of arr with the elements specified by obj removed. Note that delete does not occur in-place. If axis is None, out is a flattened array.

示例:

1.删除一列

>>> dataset=[[1,2,3],[2,3,4],[4,5,6]]

>>> import numpy as np

>>> dataset = np.delete(dataset, -1, axis=1)

>>> dataset

array([[1, 2],

[2, 3],

[4, 5]])

2.删除多列

arr = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])

np.delete(arr, [1,2], axis=1)

array([[ 1, 4],

[ 5, 8],

[ 9, 12]])

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