pandas random sample
# n: number of rows to be extracted randomly
# random_state fixed for reproducibility
# replace = True for extraction with replacement
df.sample(n=3, random_state=42, replace=False)pandas random sample
# n: number of rows to be extracted randomly
# random_state fixed for reproducibility
# replace = True for extraction with replacement
df.sample(n=3, random_state=42, replace=False)pandas sample seed
>>> df.sample(frac=0.5, replace=True, random_state=1)
num_legs num_wings num_specimen_seen
dog 4 0 2
fish 0 0 8create random dataframe pandas
import numpy as np
import pandas as pd
df = pd.DataFrame(np.random.randint(0,100,size=(100, 4)), columns=list('ABCD'))pandas sample
>>> df = pd.DataFrame({'num_legs': [2, 4, 8, 0],
... 'num_wings': [2, 0, 0, 0],
... 'num_specimen_seen': [10, 2, 1, 8]},
... index=['falcon', 'dog', 'spider', 'fish'])
>>> df
num_legs num_wings num_specimen_seen
falcon 2 2 10
dog 4 0 2
spider 8 0 1
fish 0 0 8Copyright © 2021 Codeinu
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