Creating a Scatter Plot with Bokeh Library

This function creates a scatter plot using the Bokeh library to visualize the relationship between two sets of data.

Technology Stack : Bokeh, NumPy, Pandas

Code Type : Data visualization

Code Difficulty : Intermediate

                
                    
import numpy as np
import pandas as pd
from bokeh.plotting import figure, show
from bokeh.models import ColumnDataSource
from bokeh.layouts import gridplot

def plot_scatter_data(x, y):
    # Create a ColumnDataSource for the data
    source = ColumnDataSource(data=dict(x=x, y=y))
    
    # Create a figure
    p = figure(title="Scatter Plot", tools="pan,wheel_zoom,box_zoom,reset", width=800, height=600)
    
    # Add a scatter plot
    p.scatter('x', 'y', source=source, color='blue', alpha=0.6, size=10)
    
    # Display the plot
    show(p)

# Example usage
x = np.random.normal(0, 1, 100)
y = np.random.normal(0, 1, 100)
plot_scatter_data(x, y)