CODEWITHSUNDEEP
pythonpython-2.7numpy
user4543816
user4543816

Reputation: 97

Creating multiple numpy arrays

Currently, I have this piece of code to create a numpy array

X=np.array([[]]);

if (X.shape[1] == 0):
      X = np.array([vd]);
    else:
      X = np.concatenate((X,np.array([vd])));

I would now like to get multiple numpy arrays X(1) , X(2) etc for different conditions. What is the best way to do this in python. In matlab I can accomplish this using matlab struct.

Upvotes: 2

Views: 3647

Answers (2)

sukhbinder
sukhbinder

Reputation: 1121

I see @user3510686 has already answered it. Posing what I tried.

a={}
for i in range(10):
    a[i]=np.random.rand(10)

Upvotes: 0

Numlet
Numlet

Reputation: 837

You can use a python dictionary for this purpose For example

import numpy as np
dic={}
dic['1']=np.zeros(3)
dic['2']=np.ones(5)
print dic['1']
print dic['2']

now dic['1'] and dic['2'] are you arrays

Upvotes: 1

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