pandas random sample

1# n: number of rows to be extracted randomly
2# random_state fixed for reproducibility
3# replace = True for extraction with replacement
4
5df.sample(n=3, random_state=42, replace=False)

1import numpy as np
2import pandas as pd
3df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))
4

1>>> df.sample(frac=0.5, replace=True, random_state=1)
2      num_legs  num_wings  num_specimen_seen
3dog          4          0                  2
4fish         0          0                  8
5

1>>> df = pd.DataFrame({'num_legs': [2, 4, 8, 0],
2...                    'num_wings': [2, 0, 0, 0],
3...                    'num_specimen_seen': [10, 2, 1, 8]},
4...                   index=['falcon', 'dog', 'spider', 'fish'])
5>>> df
6        num_legs  num_wings  num_specimen_seen
7falcon         2          2                 10
8dog            4          0                  2
9spider         8          0                  1
10fish           0          0                  8
11