Imitating Graph With Claude

How to make graph like this in Python

I saw a nice graph from posting in https://x.com/junwatu/status/1851779704510124178/photo/1

Let’s ask Claude to imitate the graph.

I’ll help you create a similar line graph using Python, primarily using matplotlib with a modern, dark theme that matches the style of the image.

This code creates a graph similar to the one shown in your image. Here are the key features:

1. Uses a dark theme matching GitHub’s dark mode
2. Creates smooth lines with dots at data points
3. Places country labels at the end of each line
4. Uses custom colors for each country
5. Includes a grid for better readability
6. Removes chart borders for a modern look
7. Reverses the y-axis to show rank 1 at the top

import matplotlib.pyplot as plt
import numpy as np

# Sample data
countries = ['India', 'United States', 'China', 'Brazil', 'United Kingdom',
             'Indonesia', 'Japan', 'Germany', 'Russia', 'Canada']

# Create sample data for demonstration
# In reality, you would have your actual data here
years = np.array([2024, 2025, 2026, 2027, 2028])
data = np.array([
    [1, 1, 1, 2, 2],  # India
    [2, 2, 2, 1, 1],  # United States
    [3, 3, 3, 3, 3],  # China
    [4, 4, 4, 4, 4],  # Brazil
    [5, 5, 5, 5, 5],  # UK
    [8, 6, 6, 6, 6],  # Indonesia
    [7, 7, 7, 7, 7],  # Japan
    [9, 8, 8, 8, 8],  # Germany
    [6, 9, 9, 9, 9],  # Russia
    [10, 10, 10, 10, 10]  # Canada
])

# Set the style
plt.style.use('dark_background')
fig, ax = plt.subplots(figsize=(12, 8))

# Custom colors for each line
colors = ['#FF69B4', '#9370DB', '#87CEEB', '#90EE90', '#FFD700',
          '#FF6347', '#DDA0DD', '#BA55D3', '#ADD8E6', '#98FB98']

# Plot each line
for i, (country, color) in enumerate(zip(countries, colors)):
    ax.plot(years, data[i], color=color, linewidth=2, marker='o', markersize=8)
    # Add country name at the end of each line
    ax.text(years[-1] + 0.1, data[i, -1], country, color=color, 
            verticalalignment='center', fontsize=10)

# Customize the plot
ax.set_ylim(10.5, 0.5)  # Reverse y-axis and add some padding
ax.set_xlim(2024, 2028.5)  # Add space for labels on the right

# Set title
plt.title('Projecting the top 10 developers communities\non GitHub 2024-2028', 
          fontsize=16, pad=20)

# Customize grid
ax.grid(True, linestyle='--', alpha=0.2)

# Customize axes
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['bottom'].set_visible(False)
ax.spines['left'].set_visible(False)

# Set y-axis ticks
ax.set_yticks(range(1, 11))

# Remove x-axis ticks but keep labels
ax.tick_params(axis='x', length=0)

# Set background color
fig.patch.set_facecolor('#0D1117')
ax.set_facecolor('#0D1117')

# Adjust layout
plt.tight_layout()

# Show plot
plt.show()

To use this code, you’ll need to have matplotlib installed. You can install it using:

pip install matplotlib

You can modify the data array to match your actual data points. Each row represents a country’s ranking over the years.