From the course: Python for Data Visualization

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Basics of Matplotlib

Basics of Matplotlib - Python Tutorial

From the course: Python for Data Visualization

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Basics of Matplotlib

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- [Instructor] In this video, we're going to learn about the Matplotlib library, which is a powerful tool capable of producing complex publication-quality figures with fine layout control in two or three dimensions. While this is an older library, so many libraries are built on top of it and use its syntax. The first thing we have to do is import the libraries we're going to use. We're going to utilize the pandas and NumPy libraries to manipulate data in a format that's suitable for plotting. We're going to import matplotlib.pyplot as PLT, and PLT is just an alias for the matplotlib.pyplot module. And lastly, we're going to import the seaborn library, which is a wrapper for Matplotlib as SNS. Before we can graph data, we have to have data in a form that's suitable for graphing. So we're first going to import the car loan data into a pandas data frame. We're next going to look at the first five rows of the data frame as this…

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