-
numpy.repeat(a, repeats, axis=None)
[source] -
Repeat elements of an array.
Parameters: a : array_like
Input array.
repeats : int or array of ints
The number of repetitions for each element.
repeats
is broadcasted to fit the shape of the given axis.axis : int, optional
The axis along which to repeat values. By default, use the flattened input array, and return a flat output array.
Returns: repeated_array : ndarray
Output array which has the same shape as
a
, except along the given axis.See also
-
tile
- Tile an array.
Examples
12345678910>>> x
=
np.array([[
1
,
2
],[
3
,
4
]])
>>> np.repeat(x,
2
)
array([
1
,
1
,
2
,
2
,
3
,
3
,
4
,
4
])
>>> np.repeat(x,
3
, axis
=
1
)
array([[
1
,
1
,
1
,
2
,
2
,
2
],
[
3
,
3
,
3
,
4
,
4
,
4
]])
>>> np.repeat(x, [
1
,
2
], axis
=
0
)
array([[
1
,
2
],
[
3
,
4
],
[
3
,
4
]])
-
numpy.repeat()

2025-01-10 15:47:30
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