I have 4 numpy arrays of this shape
(1, 2, 1, 1, 1, 5, 2, 14)
(1, 2, 1, 1, 1, 5, 2, 14)
(1, 2, 1, 1, 1, 5, 2, 14)
(1, 2, 1, 1, 1, 5, 2, 14)
And I want to merge them into a single array. The shape will be:
(4, 2, 1, 1, 1, 5, 2, 14)
Trial 1
np.append(f1, f2, axis=0)
which has a shape of (2, 2, 1, 1, 1, 5, 2, 14)
How can I do this?
Or is there another way to manage this data?
The only thing I am certain about, the 4 arrays are of the same shape.
Trial 2
np.concatenate(f1, f2, f3)
Error:
----> 1 np.concatenate(f1, f2, f3)
TypeError: only integer scalar arrays can be converted to a scalar index
Put your arrays in a list then use np.concatenate
:
import numpy as np
l = [np.ones((1, 2, 1, 1, 1, 5, 2, 14))] * 4
a = np.concatenate(l, axis=0)
a.shape
Out[9]: (4, 2, 1, 1, 1, 5, 2, 14)
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