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)
create pandas dataframe with random numbers
#using numpy's randint
df = pd.DataFrame(np.random.randint(0,100,size=(15, 4)), columns=list('ABCD'))
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