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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)

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create 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'))

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pandas random sample

create random dataframe pandas

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