I would like to expand a list of arrays into a single array, so for example:
a = [array([1,2,3]), array([4,5,6]), array([7,8,9,])]
To become:
a = [array([1,2,3,4,5,6,7,8,9])]
How do I do this?
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Does this answer your question? Concatenating two one-dimensional NumPy arraysjmkjaer– jmkjaer2020-06-01 11:08:13 +00:00Commented Jun 1, 2020 at 11:08
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3 Answers
One option is to convert list to np.array and then flatten inside the list:
>>> import numpy as np
>>> arr = [np.array([1,2,3]), np.array([4,5,6]), np.array([7,8,9,])]
>>> [np.array(arr).flatten()]
[array([1, 2, 3, 4, 5, 6, 7, 8, 9])]
Comments
Try using
list.extend
It will work Maybe you want this
from numpy import array
k=[array([1,2,3]), array([4,5,6]), array([7,8,9,])]
l=[]
for i in range(len(k)):
l.extend(k[i])
print(array(l))
Output:
array([1, 2, 3, 4, 5, 6, 7, 8, 9])
Comments
You can use reshape of Numpy to do it:-
a=[[1,2,3],[3,4,5],[6,7,8]]
print("Before:" , a)
import numpy as np
a=np.reshape(a,9)
print("After:",a)
The output:
Before: [[1, 2, 3], [3, 4, 5], [6, 7, 8]]
After: [1 2 3 3 4 5 6 7 8]
Hope this is what you want.
