Answers for "vertical stack numpy"

2

np.vstack multiple arrays

>>> import numpy as np
>>> a = ([1,2,3,4,5])
>>> b = ([2,3,4,5,6])
>>> c = ([3,4,5,6,7])

>>> np.array([a, b, c])
array([[1, 2, 3, 4, 5],
       [2, 3, 4, 5, 6],
       [3, 4, 5, 6, 7]])

>>> np.stack([a, b, c], axis=0)
array([[1, 2, 3, 4, 5],
       [2, 3, 4, 5, 6],
       [3, 4, 5, 6, 7]])

>>> np.stack([a, b, c], axis=1)  # not what you want, this is only to show what is possible
array([[1, 2, 3],
       [2, 3, 4],
       [3, 4, 5],
       [4, 5, 6],
       [5, 6, 7]])
Posted by: Guest on February-21-2020
0

numpy stack arrays vertically

import numpy as np
# ensure same shape of arrays to be stacked.
a = np.arange(10).reshape(2,-1)
b = np.repeat(1, 10).reshape(2,-1)
# use vstack() to stack by row.
out = np.vstack((a,b))
## print output
print(out)
# a
# b
Posted by: Guest on October-22-2020

Python Answers by Framework

Browse Popular Code Answers by Language