Python Data Visualization Transcripts
Chapter: Matplotlib
Lecture: Quick reference
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Now that we've done a little bit of matplot lib coding. I'm gonna take a step back and walk through a couple of quick reference items.
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That will be useful for you for the rest of this training as well as your continued development with matplot lib.
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First thing I wanted to lay out are the common imports that you'll use when working with matplot lib, you'll import pyplot as 'plt'.
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And then it's also convention that matplot lib is imported as 'mpl'. When working in a jupyter notebook,
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you can display the matplot lib images in line using the magic command, matplot lib inline, as well as using the notebook command to offer a
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more interactive approach. When setting up figures and axes. Use 'plt.subplots' to configure how many images you want to combine into a single
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figure. And then on each of these axes you can plot your display, such as a histogram, box plot or some of the other visualizations that we'll talk
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about. And then finally, when you want to update the display, you can use, set X label, Y label, or title as we've shown,
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as well as some of the other options that we've reviewed and are available through the matplot lib documentation.