基础介绍：
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numpy.deletenumpy.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
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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]]) |
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]]) |
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
