>>> d = {'col1': [1, 2], 'col2': [3, 4]}

>>> df = pd.DataFrame(data=d)

>>> df

   col1  col2

0     1     3

1     2     4

>>> df2 = pd.DataFrame(np.random.randint(low=0, high=10, size=(5, 5)),

...                    columns=['a', 'b', 'c', 'd', 'e'])

>>> df2

    a   b   c   d   e

0   2   8   8   3   4

1   4   2   9   0   9

2   1   0   7   8   0

3   5   1   7   1   3

4   6   0   2   4   2