Reshape array size in Python (Numpy)

Question

I have a numpy array of shape arr.shape: (416809, )

which has:

arr[0].shape:
(300,)

and I whish to reshape to: (416809, 300)

I was searching at the documentation but I was unable to find a solution.

Any help would be grateful!

Thanx!

See this SO question just a few minutes ago: stackoverflow.com/questions/63218534/…. How was your array created? Do all the component arrays have the same shape? — hpaulj
– hpaulj, Commented Aug 2, 2020 at 16:54
Mine is different. I have 416809 arrays of 300 dimensions and I want to make them. (416809, 300) so 2D — Alexander Rika
– Alexander Rika, Commented Aug 2, 2020 at 16:56
No, it makes a tuple of: (416809, 300). The tuple has just these 2 integers. Not the numpy arrays — Alexander Rika
– Alexander Rika, Commented Aug 2, 2020 at 17:10
(416809, 300) is the shape tuple, not the array produced by stack. — hpaulj
– hpaulj, Commented Aug 2, 2020 at 17:13

Ujjwal Dash · Accepted Answer · 2020-08-02 17:03:17Z

1

To convert the shape of a NumPy array ndarray, use the reshape() method of ndarray or the numpy.reshape() function.

Here is an example for your reference

import numpy as np

a = np.arange(24)

print(a)
# [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20 21 22 23]

print(a.shape)
# (24,)

a_4_6 = a.reshape([4, 6])

print(a_4_6)
# [[ 0  1  2  3  4  5]
#  [ 6  7  8  9 10 11]
#  [12 13 14 15 16 17]
#  [18 19 20 21 22 23]]

answered Aug 2, 2020 at 17:03

Ujjwal Dash

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1 Comment

Alexander Rika Over a year ago

This works only when the values of the array are just Integers. In my situation the values of the arrays are numpy arrays of size (300, ). So the reshape method wont work like that.

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