How to create a DataFrame of random integers with Pandas?

numpy.random.randint accepts a third argument (size) , in which you can specify the size of the output array. You can use this to create your DataFrame -

df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))

Here - np.random.randint(0,100,size=(100, 4)) - creates an output array of size (100,4) with random integer elements between [0,100) .

Demo -

import numpy as npimport pandas as pddf = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))

which produces:

     A   B   C   D0   45  88  44  921   62  34   2  862   85  65  11  313   74  43  42  564   90  38  34  935    0  94  45  106   58  23  23  60..  ..  ..  ..  ..

The recommended way to create random integers with NumPy these days is to use numpy.random.Generator.integers. (documentation)

import numpy as npimport pandas as pdrng = np.random.default_rng()df = pd.DataFrame(rng.integers(0, 100, size=(100, 4)), columns=list('ABCD'))df----------------------      A    B    C    D 0   58   96   82   24 1   21    3   35   36 2   67   79   22   78 3   81   65   77   94 4   73    6   70   96... ...  ...  ...  ...95   76   32   28   5196   33   68   54   7797   76   43   57   4398   34   64   12   5799   81   77   32   50100 rows × 4 columns