Random DataFrame Row Sampling Function

This function randomly selects rows from a given Pandas DataFrame based on a specified number of rows. It is useful for data sampling, testing, and other scenarios.

Technology Stack : Pandas, Numpy

Code Type : Pandas DataFrame operation

Code Difficulty : Intermediate

                
                    
def random_index_dataframe(df, n):
    """
    Selects random rows from a Pandas DataFrame based on a given number of rows.
    """
    import pandas as pd
    import numpy as np

    if not isinstance(df, pd.DataFrame):
        raise ValueError("The input must be a Pandas DataFrame.")
    if not isinstance(n, int) or n <= 0:
        raise ValueError("The number of rows must be a positive integer.")
    
    return df.sample(n)