Pandas DataFrame sample() Method
Example
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())
Try it Yourself »
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.
Note: The column names will also be returned, in addition to the sample rows.
Syntax
dataframe.sample(n, frac, replace, weights, random_state,
axis)
Parameters
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 |
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 |
Optional, default 0. The axis to sample |
Return Value
A DataFrame with a sample of the original DataFrame.
