Understanding the basics of pandas visualization
pandas has built-in plot generation capabilities that can be used to visualize both DataFrames and series alike. pandas comes with a built-in plot function that acts as a wrapper on top of the matplotlib plot function. This means that pandas is actually using the matplotlib library but with a simplified syntax. This presents the advantage of being much easier to use (less code and simpler syntax) compared to matplotlib. It provides a wide range of functionality and flexibility to plot data analytics charts with given data.
To start off using pandas in-built visualizations, you will need to know several key parameters for the .plot() function, which can be called from a DataFrame. Some of these are listed as follows:
kind: This is the type of plot (bar,barh,pie,scatter,kde, and so on).color: This is the color of the plot.linestyle: This is the style of the line used in the plot (solid,dotted, anddashed).
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