基础介绍：
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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.
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示例：
1.删除一列
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>>> 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]])
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2.删除多列
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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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以上这篇numpy.delete删除一列或多列的方法就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持服务器之家。
原文链接：https://blog.csdn.net/sinat_27693393/article/details/73195570