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: 


Returns: 

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
.
>>> 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])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.delete.html