Random DataFrame Combination with Pandas and Modin

This function generates a random DataFrame of specified rows and columns using the Pandas and Modin libraries. First, it creates a random DataFrame using Pandas, then converts it to a Modin DataFrame. After that, depending on a random choice, it applies either a Pandas-specific or Modin-specific function.

Technology Stack : Pandas, NumPy, Modin

Code Type : Function

Code Difficulty : Intermediate

                
                    
import pandas as pd
import numpy as np
import modin.pandas as md
import random

def random_dataframe_combination(rows, cols):
    """
    Generates a random combination of dataframes using Modin and Pandas.
    """
    # Create a random dataframe with specified number of rows and columns using Pandas
    df_pandas = pd.DataFrame(np.random.rand(rows, cols))
    
    # Convert the Pandas dataframe to a Modin dataframe
    df_modin = md.DataFrame(df_pandas)
    
    # Apply a random function to the Modin dataframe
    if random.choice([True, False]):
        # Apply a Pandas function
        df_modin = df_modin.apply(random.choice([np.sum, np.mean, np.max]))
    else:
        # Apply a Modin-specific function
        df_modin = df_modin.sum(axis=1)
    
    return df_modin