External Packages (page 26 of 38)

Now let's turn to visualizations. The base plotting package is matplotlib. Other plotting packages such as bokeh and seaborn are built on top of matplotlib. Matplotlib is a powerful and versatile plotting library in Python that may be used to create many different types of visualizations. Matplotlib's primary purpose is to provide users with the tools and functionality to represent data graphically, making it easier to analyze and understand. A few key attributes of matplotlib include the following:

• Versatility: Matplotlib can generate line plots, scatter plots, bar plots, histograms, pie charts, and many more.
• Customization: Matplotlib can control every aspect of the plot, such as line styles, colors, markers, labels, and annotations.
• Integration with Numpy and Pandas: We can make visualizations from tuples and lists as well as numpy arrays and pandas data frames.
• Cross-Platform: Matplotlib is platform-independent and can run on Windows, macOS, and Linux