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].

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.

Parameters
arrarray_like

Input array.

objslice, int or array of ints

Indicate indices of sub-arrays 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 in-place. If axis is None, out is a flattened array.

`insert`

Insert elements into an array.

`append`

Append elements at the end of an array.

Notes

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

```>>> arr = np.arange(12) + 1
```

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])
```