Random Plot Generator Using Plotly Express

This function randomly generates a Plotly chart from a DataFrame, which can be a bar chart, line chart, scatter plot, histogram, pie chart, or area chart. The function first randomly selects the chart type, and then randomly selects two columns from the DataFrame as the x-axis and y-axis data.

Technology Stack : Plotly Express, Pandas

Code Type : The type of code

Code Difficulty :

                
                    
import random
import plotly.express as px
import pandas as pd

def generate_random_plot(dataframe):
    """
    Generate a random plot from a dataframe using Plotly Express.
    """
    # Select a random type of plot
    plot_types = ['bar', 'line', 'scatter', 'histogram', 'pie', 'area']
    selected_plot_type = random.choice(plot_types)
    
    # Select a random dataframe column to use for the plot
    columns = dataframe.columns
    x_column = random.choice(columns)
    y_column = random.choice(columns)
    
    # Generate the plot based on the selected type and columns
    fig = px[selected_plot_type](dataframe, x=x_column, y=y_column)
    
    # Show the plot
    fig.show()

# Example usage:
# dataframe = pd.DataFrame({
#     'Category': ['A', 'B', 'C', 'D'],
#     'Values': [10, 20, 30, 40]
# })
# generate_random_plot(dataframe)