The Key to Sharp Matplotlib Graphs with One Line of Code. The barely known trick that should become industry standard
Have you ever noticed that inline plots in Jupyter notebooks tend to look… bad?
They’re either blurry or too small — and the default behavior for rescaling images in iPython is to retain the original resolution, meaning that enlarged images look extra blurry.
Here’s an example from my latest project, in which I analyzed the popular web series “Content Cop.” Notice how fuzzy the text and lines look? And I bet you couldn’t even tell that the red vertical line is dashed.
What if I told you these problems could be solved with one line of code?
Simply type the following into a Jupyter notebook cell before drawing your plots.
%config InlineBackend.figure_format = 'svg'
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Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
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So here is my first blog regarding the data visualization with matplotlib in python. In this article we will cover the basic of the visualization with matplotlib.
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