Randomly Generated Bar Plot with Seaborn

This function generates a bar plot using the seaborn library, randomly selects a palette, and allows the user to group the bars by different columns.

Technology Stack : seaborn, numpy, pandas, matplotlib

Code Type : The type of code

Code Difficulty :

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

def random_bar_plot(data, x, y, hue=None):
    """
    Generate a random bar plot using seaborn.

    Parameters:
    - data: pandas DataFrame containing the data to plot.
    - x: str, the name of the column to plot on the x-axis.
    - y: str, the name of the column to plot on the y-axis.
    - hue: str or list of str, the name(s) of the column(s) to use for grouping the bars.
    """
    # Randomly choose a palette
    palette = sns.color_palette(random.choice(['husl', 'muted', 'pastel', 'bright', 'dark']))

    # Create a bar plot
    sns.barplot(x=x, y=y, hue=hue, data=data, palette=palette)

    # Set title and labels
    plt.title('Random Bar Plot')
    plt.xlabel(x)
    plt.ylabel(y)

    plt.show()

# Example usage:
# data = pd.DataFrame({
#     'Category': ['A', 'B', 'C', 'D'],
#     'Values': [10, 20, 15, 5],
#     'Subgroup': ['X', 'X', 'Y', 'Y']
# })
# random_bar_plot(data, 'Category', 'Values', 'Subgroup')