array transform in python

Question

I am working with python, and I Got an array which looks like (750 ,), and it is a matrix with 750 rows and 1 column. but I would like to make it look like (750, 1). to be specific, I would like to do a transform : (750, )--->(750,1). any advice ?

Please post a sample of your actual data and what you have already tried to solve your problem. — DaveL17
– DaveL17, Commented Nov 6, 2017 at 11:24

bobolafrite · Accepted Answer · 2017-11-06 11:29:08Z

1

First let's create a (750,) array :

import numpy as np
test_array = np.array(range(750))

test_array.shape 
# Returns (750,)

You can create a new array with the shape you want with the np.ndarray.reshape() method :

new_array = test_array.reshape([750,1])

It is equivalent to

new_array = np.reshape(test_array,[750,1])

answered Nov 6, 2017 at 11:29

bobolafrite

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3 Comments

harold Over a year ago

Thank you bobolafrite ! it is exactly what I am look for , and I was stuck in this for one hour. thanks.

gboffi Over a year ago

Also new_array = test_array[:, np.newaxis] (or, equivalently, new_array = test_array[:, None] as you were already told by Coldspeed) — do yourself a favor and google for "numpy broadcasting" to discover one of the strengths of Numpy...

bobolafrite Over a year ago

Yes, this one is interesting too : stackoverflow.com/questions/6627647/… @harold Mark the answer as accepted if you're satisfied with it :)

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