matplotlib

[[Matplotlib]], a popular data visualization library in Python:

Matplotlib Cheat Sheet:

**1. Import Matplotlib:

import matplotlib.pyplot as plt

**2. Basic Plotting:

# Line Plot
plt.plot(x, y, label='label')
plt.xlabel('X-axis label')
plt.ylabel('Y-axis label')
plt.title('Title')
plt.legend()
plt.show()

**3. Scatter Plot:

plt.scatter(x, y, color='color', marker='marker', s=size, label='label')

**4. Bar Chart:

plt.bar(x, height, color='color', width=width, label='label')

**5. Histogram:

plt.hist(data, bins=number_of_bins, color='color', edgecolor='edgecolor')

**6. Box Plot:

plt.boxplot(data, vert=True or False, patch_artist=True or False)

**7. Pie Chart:

plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=angle, colors=colors)

**8. Subplots:

plt.subplot(rows, columns, index)

**9. Customization:

# Figure Size
plt.figure(figsize=(width, height))

# Color Map
cmap = plt.get_cmap('color_map')

# Grid
plt.grid(True)

# Axis Limits
plt.xlim(x_min, x_max)
plt.ylim(y_min, y_max)

**10. Save Figure:

plt.savefig('filename.png', format='png', dpi=dots_per_inch)

This cheat sheet covers some commonly used Matplotlib functions. Experiment with these and refer to the Matplotlib documentation for more advanced features and customization options.