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Matplotlib

What is Matplotlib?

- Matplotlib is a Python plotting library used for creating static, animated, and interactive visualizations.
- It can be used for plotting graphs such as line plots, bar charts, histograms, and more.
- Matplotlib was created by John D. Hunter in 2003 and has become a core plotting library in Python.
- Matplotlib works well with NumPy and Pandas data structures.

At First we downlode the library of Matplotlib

pip install matplotlib

Matplotlib Basic Example

import matplotlib.pyplot as plt

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

# Create a figure
plt.figure(figsize=(10, 6))

# Plot the data
plt.plot(x, y, label='y = x^2')

# Set title, labels, and limits
plt.title('Basic Plot')
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.xlim(0, 6)
plt.ylim(0, 30)

# Add ticks
plt.xticks([1, 2, 3, 4, 5])
plt.yticks([0, 5, 10, 15, 20, 25])

# Add grid, legend, and show the plot
plt.grid(True)
plt.legend()
plt.show()

This code demonstrates how to use various `matplotlib` functions:

• plt.figure(figsize=(10, 6)) - Initializes a new figure with a custom size (width: 10, height: 6).
• plt.plot(x, y, label='y = x^2') - Plots the line for the data and adds a label for the legend.
• plt.title('Basic Plot') - Sets the title of the plot.
• plt.xlabel('X-axis') and plt.ylabel('Y-axis') - Sets labels for the X and Y axes respectively.
• plt.xlim(0, 6) and plt.ylim(0, 30) - Defines the limits for the X and Y axes.
• plt.xticks([1, 2, 3, 4, 5]) and plt.yticks([0, 5, 10, 15, 20, 25]) - Specifies the tick positions for the X and Y axes.
• plt.grid(True) - Displays the grid on the plot.
• plt.legend() - Adds a legend to the plot.
• plt.show() - Displays the plot in a window.

Conclusion

Matplotlib is a very versatile plotting library that can be used for a variety of visualizations. It is essential for data visualization in Python and can be customized to meet specific needs, including adding titles, labels, legends, and modifying axes and grid properties.