numpy.delete¶

numpy.
delete
(arr, obj, axis=None)[source]¶ Return a new array with subarrays along an axis deleted. For a one dimensional array, this returns those entries not returned by arr[obj].
 Parameters
 arrarray_like
Input array.
 objslice, int or array of ints
Indicate indices of subarrays to remove along the specified axis.
Changed in version 1.19.0: Boolean indices are now treated as a mask of elements to remove, rather than being cast to the integers 0 and 1.
 axisint, optional
The axis along which to delete the subarray defined by obj. If axis is None, obj is applied to the flattened array.
 Returns
 outndarray
A copy of arr with the elements specified by obj removed. Note that
delete
does not occur inplace. If axis is None, out is a flattened array.
Notes
Often it is preferable to use a boolean mask. For example:
>>> arr = np.arange(12) + 1 >>> mask = np.ones(len(arr), dtype=bool) >>> mask[[0,2,4]] = False >>> result = arr[mask,...]
Is equivalent to np.delete(arr, [0,2,4], axis=0), but allows further use of mask.
Examples
>>> arr = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]]) >>> arr array([[ 1, 2, 3, 4], [ 5, 6, 7, 8], [ 9, 10, 11, 12]]) >>> np.delete(arr, 1, 0) array([[ 1, 2, 3, 4], [ 9, 10, 11, 12]])
>>> np.delete(arr, np.s_[::2], 1) array([[ 2, 4], [ 6, 8], [10, 12]]) >>> np.delete(arr, [1,3,5], None) array([ 1, 3, 5, 7, 8, 9, 10, 11, 12])