Random Barplot Generator with Seaborn

This function randomly selects two columns from the provided DataFrame and generates a barplot using the Seaborn library.

Technology Stack : Seaborn, NumPy, Pandas, Matplotlib

Code Type : Function

Code Difficulty : Intermediate

                
                    
import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

def generate_random_barplot(data):
    """
    Generates a random barplot from the provided DataFrame using Seaborn.
    """
    # Select a random column for the x-axis and a random column for the y-axis
    x_column = data.columns[np.random.randint(data.shape[1])]
    y_column = data.columns[np.random.randint(data.shape[1])]

    # Generate the barplot
    plt.figure(figsize=(10, 6))
    sns.barplot(x=x_column, y=y_column, data=data)
    plt.title(f"Random Barplot of {x_column} vs {y_column}")
    plt.show()

# Example usage:
# Create a random DataFrame
np.random.seed(0)
data = pd.DataFrame({
    'A': np.random.randn(100),
    'B': np.random.randn(100),
    'C': np.random.randn(100),
    'D': np.random.randn(100)
})

# Generate a random barplot
generate_random_barplot(data)