Matplotlib Basics Guide 📊

Welcome to the Matplotlib basics guide! This tutorial will help you get started with creating visualizations using Python's powerful plotting library. 🌟

Installation 📦

To use Matplotlib, first install it via pip:

pip install matplotlib

👉 Click here for more details on installation options.

Basic Usage 🧪

Here's a simple example to plot a line graph:

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [1, 4, 9, 16, 25]

plt.plot(x, y)
plt.title("Simple Line Plot")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.show()

Common Plot Types 📈

Line Plot: plt.plot()
Bar Chart: plt.bar()
Scatter Plot: plt.scatter()
Histogram: plt.hist()
Pie Chart: plt.pie()

Try these examples to explore different visualizations! 🎉

Customizing Plots 🎨

You can customize colors, labels, and styles:

plt.plot(x, y, color='red', linestyle='--', marker='o')

For advanced customization, check out our Matplotlib customization guide.

Expand Your Knowledge 🚀

Let me know if you need further assistance! 🤝