delete(arr, obj, axis)

This docstring was copied from numpy.delete.

Some inconsistencies with the Dask version may exist.

NOTE: If obj is a dask array it is implicitly computed when this function is called.

Notes

Often it is preferable to use a boolean mask. For example:

>>> arr = np.arange(12) + 1  # doctest: +SKIP
>>> mask = np.ones(len(arr), dtype=bool)  # doctest: +SKIP
>>> mask[[0,2,4]] = False  # doctest: +SKIP
>>> result = arr[mask,...]  # doctest: +SKIP

Is equivalent to :None:None:`np.delete(arr, [0,2,4], axis=0)`, but allows further use of :None:None:`mask`.

Parameters

arr : array_like

Input array.

obj : slice, int or array of ints

Indicate indices of sub-arrays to remove along the specified axis.

versionchanged

Boolean indices are now treated as a mask of elements to remove, rather than being cast to the integers 0 and 1.

axis : int, optional

The axis along which to delete the subarray defined by :None:None:`obj`. If :None:None:`axis` is None, :None:None:`obj` is applied to the flattened array.

Returns

out : ndarray

A copy of :None:None:`arr` with the elements specified by :None:None:`obj` removed. Note that delete does not occur in-place. If :None:None:`axis` is None, :None:None:`out` is a flattened array.

Return a new array with sub-arrays along an axis deleted. For a one dimensional array, this returns those entries not returned by :None:None:`arr[obj]`.

See Also

append

Append elements at the end of an array.

insert

Insert elements into an array.

Examples

This example is valid syntax, but we were not able to check execution

>>> arr = np.array([[1,2,3,4], [5,6,7,8], [9,10,11,12]])  # doctest: +SKIP
... arr  # doctest: +SKIP
array([[ 1,  2,  3,  4],
       [ 5,  6,  7,  8],
       [ 9, 10, 11, 12]])

This example is valid syntax, but we were not able to check execution

>>> np.delete(arr, 1, 0)  # doctest: +SKIP
array([[ 1,  2,  3,  4],
       [ 9, 10, 11, 12]])

This example is valid syntax, but we were not able to check execution

>>> np.delete(arr, np.s_[::2], 1)  # doctest: +SKIP
array([[ 2,  4],
       [ 6,  8],
       [10, 12]])

This example is valid syntax, but we were not able to check execution

>>> np.delete(arr, [1,3,5], None)  # doctest: +SKIP
array([ 1,  3,  5,  7,  8,  9, 10, 11, 12])

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.routines.delete dask.array.routines.insert dask.array.routines.append

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File: /dask/array/routines.py#2326
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