numpy.ma.append()

numpy.ma.append(a, b, axis=None) [source]

Append values to the end of an array.

New in version 1.9.0.

Parameters:

Parameters:	a : array_like Values are appended to a copy of this array. b : array_like These values are appended to a copy of `a`. It must be of the correct shape (the same shape as `a`, excluding `axis`). If `axis` is not specified, `b` can be any shape and will be flattened before use. axis : int, optional The axis along which `v` are appended. If `axis` is not given, both `a` and `b` are flattened before use.
Returns:	append : MaskedArray A copy of `a` with `b` appended to `axis`. Note that `append` does not occur in-place: a new array is allocated and filled. If `axis` is None, the result is a flattened array.

a : array_like

Values are appended to a copy of this array.

b : array_like

These values are appended to a copy of a. It must be of the correct shape (the same shape as a, excluding axis). If axis is not specified, b can be any shape and will be flattened before use.

axis : int, optional

The axis along which v are appended. If axis is not given, both a and b are flattened before use.

Returns:

append : MaskedArray

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

Examples

>>> import numpy.ma as ma
>>> a = ma.masked_values([1, 2, 3], 2)
>>> b = ma.masked_values([[4, 5, 6], [7, 8, 9]], 7)
>>> print(ma.append(a, b))
[1 -- 3 4 5 6 -- 8 9]

Links:

https://docs.scipy.org/doc/numpy-1.11.0/reference/generated/numpy.ma.append.html

doc_NumPy

2017-01-10 18:15:00

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