append(arr, values, axis=None)

This docstring was copied from numpy.append.

Some inconsistencies with the Dask version may exist.

Parameters

arr : array_like

Values are appended to a copy of this array.

values : array_like

These values are appended to a copy of :None:None:`arr`. It must be of the correct shape (the same shape as :None:None:`arr`, excluding :None:None:`axis`). If :None:None:`axis` is not specified, values can be any shape and will be flattened before use.

axis : int, optional

The axis along which values are appended. If :None:None:`axis` is not given, both :None:None:`arr` and values are flattened before use.

Returns

append : ndarray

A copy of :None:None:`arr` with values appended to :None:None:`axis`. Note that append does not occur in-place: a new array is allocated and filled. If :None:None:`axis` is None, :None:None:`out` is a flattened array.

Append values to the end of an array.

See Also

delete

Delete elements from an array.

insert

Insert elements into an array.

Examples

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

>>> np.append([1, 2, 3], [[4, 5, 6], [7, 8, 9]])  # doctest: +SKIP
array([1, 2, 3, ..., 7, 8, 9])

When :None:None:`axis` is specified, values must have the correct shape.

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

>>> np.append([[1, 2, 3], [4, 5, 6]], [[7, 8, 9]], axis=0)  # doctest: +SKIP
array([[1, 2, 3],
       [4, 5, 6],
       [7, 8, 9]])

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

>>> np.append([[1, 2, 3], [4, 5, 6]], [7, 8, 9], axis=0)  # doctest: +SKIP
Traceback (most recent call last):
    ...
ValueError: all the input arrays must have same number of dimensions, but
the array at index 0 has 2 dimension(s) and the array at index 1 has 1
dimension(s)

See :

Back References

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

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