04. Demo: Matplotlib

PRDTM2-785 AI Trading C2 L4 Demo 1

Matplotlib Basics for Python Plots

Introduction to Matplotlib:

  • A foundational plotting library in Python, inspired by MATLAB’s features.
  • Offers easy-to-write Python code for customizable charts.

Installation and Importing:

  • Install via pip install matplotlib.
  • Import the pyplot submodule as plt for simplicity.

Setting Up Data:

  • Uses data from APIs like Yahoo Finance, e.g., Apple stock data.
  • Data organized in a DataFrame with dates as indices.

Creating Plots:

  • Initiate a figure (canvas) using plt.figure() with adjustable size.
  • Use plt.plot() for line charts, specifying x (dates) and y (e.g., closing prices).
  • Customize colors and labels for clarity.

Enhancements:

  • Add elements like title, axes labels, legends, and grid lines using plt attributes (e.g., plt.title()).

Multiple Data Sets on a Plot:

  • Overlay different datasets by adding multiple plt.plot() in one cell.

Advanced Plot Types:

  • Create box plots with plt.boxplot() and further customize appearance.

Customization Flexibility:

  • Any plot attribute can be changed; refer to documentation for detailed customization options.

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