Source code for plot bubble chart using matplotlib | S-Logix

How to Plot Bubble Chart Using Matplotlib, Numpy, and Pandas

Bubble Chart Using Matplotlib, Numpy, and Pandas

Condition for Plotting Bubble Chart Using Matplotlib, Numpy, and Pandas

Description:
A bubble chart is a data visualization that displays three dimensions of data: two on the X and Y axes, and the third dimension represented by the size of the bubbles. It is useful for visualizing relationships between continuous variables and highlighting patterns or outliers.

Step-by-Step Process

Import Libraries:
Import necessary libraries such as matplotlib, numpy, and pandas for data manipulation and plotting.
Prepare Data:
Organize your data, ensuring that you have at least three variables to represent on the X, Y, and bubble size axes.
Create the Plot:
Use the scatter() function in matplotlib to create a scatter plot with an additional dimension for the bubble size.
Customize the Plot:
Adjust the color, transparency (alpha), labels, and titles.

Sample Source Code

# Code for Bubble Chart

import matplotlib.pyplot as plt

import pandas as pd

data = {
'Product': ['Product A', 'Product B', 'Product C', 'Product D', 'Product E'],
'Price': [10, 15, 12, 20, 25],
'Units Sold': [200, 150, 300, 100, 250],
'Profit': [500, 700, 1200, 300, 800]
}

df = pd.DataFrame(data)

plt.figure(figsize=(10, 6))

# Create the bubble chart
# X-axis: Price, Y-axis: Units Sold, Size of bubbles: Profit
plt.scatter(df['Price'], df['Units Sold'], s=df['Profit'], alpha=0.5, c=df['Profit'], cmap='viridis', edgecolors="w", linewidth=0.5)

for i in range(len(df)):
plt.text(df['Price'][i], df['Units Sold'][i], df['Product'][i], fontsize=12, ha='center')

plt.title('Bubble Chart: Product Price vs Units Sold vs Profit', fontsize=14)

plt.xlabel('Price', fontsize=12)
plt.ylabel('Units Sold', fontsize=12)

plt.show()

Screenshots

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