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Introduction to Matplotlib

  • This module introduces the basics of Matplotlib in Python. You will learn how to install Matplotlib, import matplotlib.pyplot, create simple plots, add titles and labels, enable grids, and adjust figure size for better data visualization.

  • Installing Matplotlib

    If not installed, use:

pip install matplotlib

  • In Jupyter Notebook:

!pip install matplotlib

  • Importing Matplotlib

    import matplotlib.pyplot as plt

    Explanation:

    • matplotlib is the library.

    • pyplot is a module used for plotting.

    • plt is an alias for easier use.


    Basic Plot Structure

    A simple line plot:

import matplotlib.pyplot as plt

x = [1, 2, 3, 4]
y = [10, 20, 25, 30]

plt.plot(x, y)
plt.show()

  • Explanation:

    • plt.plot() creates the plot.

    • plt.show() displays the output.


    Adding Title and Labels

plt.plot(x, y)
plt.title("Sales Trend")
plt.xlabel("Month")
plt.ylabel("Sales")
plt.show()

  • Why Important?

    Titles and labels make charts understandable and professional.


    Grid and Figure Size

    Adding Grid:

plt.plot(x, y)
plt.grid(True)
plt.show()
  • Setting Figure Size:

plt.figure(figsize=(6,4))
plt.plot(x, y)
plt.show()

    • figsize=(width, height) controls chart size.

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