How to create random dataframe with positive numbers only?

Question

I want to create random DataFrame with positive numbers only.

This is my code:

import pandas as pd
import numpy as np

df = pd.DataFrame(np.random.randn(5, 4),
               index=pd.date_range('1/1/2012', periods=5),
               columns=['Alpha', 'Beta', 'Gamma', 'Delta'])
print (df)

My DataFrame looks like this:

               Alpha      Beta     Gamma     Delta
2012-01-01  0.817239  0.004713 -0.661963 -0.464963
2012-01-02 -2.255352 -0.064958  0.646194 -0.952761
2012-01-03  0.164314  0.177159 -1.618655  0.210663
2012-01-04 -0.231917 -0.627284  1.722947 -0.497787
2012-01-05 -0.214804  0.952356  0.816623 -1.576765

Answer 1

np.random.rand() produces a uniform distribution between 0 and 1.

Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1) .

For a 5x4 uniform distribution array between 1 to 10,

np.random.rand(5,4)*9+1

If you just want integers between 1(incl) and 10(excl)

np.random.randint(1,10,(5,4))