Pandas DataFrame sample() Method

Return one random sample row of the DataFrame.

In this example we use a .csv file called data.csv

import pandas as pd

df = pd.read_csv('data.csv')

print(df.sample())

Definition and Usage

The sample() method returns a specified number of random rows.

The sample() method returns 1 row if a number is not specified.

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Note: The column names will also be returned, in addition to the sample rows.

dataframe.sample(n, frac, replace, weights, random_state, axis)

The frac, replace, weights, random_state, axis parameters are keyword arguments.

Parameter	Value	Description
n		Optional. The number of rows to return. Default value is 1.
frac	Float Number	Optional. A fraction of rows to return, like 0.5 for 50% of the rows
replace	`True False`	Optional. default False. Specify whether to allow returning the same row more than once, or not
weights	String, List	Optional, default 'None'. Specifies the importance of certain rows or columns
random_state	Number, List	Optional, specifies the seed of the random generator used
axis	`0 1 'index' 'columns'`	Optional, default 0. The axis to sample

A DataFrame with a sample of the original DataFrame.