Simple reshape of numpy array: error: 'total size of new array must be unchanged'

Question

Here is a very straightforward version of the problem i am having reshaping a 40*1 array into a 20*2 array. What is going wrong here?

import numpy as np
x=np.linspace(1,20,40)
#confirm length is 40
print(np.shape(x))
#reshape to 2*20
print(np.reshape(x,2,20))
#returns error: 'total size of new array  must be unchanged'

let me know if my answer helps

seralouk
– seralouk

2018-11-22 22:58:08 +00:00
Commented Nov 22, 2018 at 22:58 — seralouk
– seralouk, Commented Nov 22, 2018 at 22:58
You haven't read the docs closely enough

Nils Werner
– Nils Werner

2018-11-22 22:58:10 +00:00
Commented Nov 22, 2018 at 22:58 — Nils Werner
– Nils Werner, Commented Nov 22, 2018 at 22:58
@seralouk yes, it answers my question exactly. thanks!

HMReliable
– HMReliable

2018-11-22 23:00:46 +00:00
Commented Nov 22, 2018 at 23:00 — HMReliable
– HMReliable, Commented Nov 22, 2018 at 23:00

seralouk · Accepted Answer · 2018-11-22 22:57:18Z

3

You do not use the function as you should use it.

Simply use this:

np.reshape(x,(2,20))

Documentation here

Full code:

import numpy as np
x=np.linspace(1,20,40)
#confirm length is 40
print(np.shape(x))
print(np.reshape(x,(2,20)))

answered Nov 22, 2018 at 22:57

seralouk

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