numpy.delete删除一列或多列的方法

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.

>>> 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],5]]) 

arr = np.array([[1,[5,6,7,8],[9,10,11,12]]) 
np.delete(arr,[1,axis=1) 
array([[ 1,[ 5,[ 9,12]])