While more complicated, is a much more powerful way of creating plots and should be used when developing more complicated visualizations. ![]() In general, I think you should use the object-oriented API. If you need a primer on matplotlib beyond what is here I suggest: Python Like you Mean It or the matplotlib users guide. Since you have some points with negative first coordinates, you would need to use the symmetric logarithmic scale - which is logarithmic in both positive and negative directions of the x-axis.: import matplotlib.pyplot as plt. One part of matplotlib that may be initially confusing is that matplotlib contains two main methods of making plots - the object-oriented method, and the state-machine method.Ī very good overview of the difference between the two usages is provided by Jake Vanderplas. matplotlib API - state-machine versus object-oriented ¶ ![]() For some inspiration, check out the matplotlib example gallery which includes the source code required to generate each example. matplotlib can create almost any two dimensional visualization you can think of, including histograms, scatter plots, bivariate plots, and image displays. ![]() Matplotlib is a very powerful plotting library for making amazing visualizations for publications, personal use, or even web and desktop applications.
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