For several plots I'd like to have a secondary x axis that is a non-affine transformation of the original axis. Following a very old discussion on nabble I recognized that it is only possible, if I ...

I am finding that annotations placed outside of axes get placed incorrectly in v1.4.3. Here is an example: import matplotlib.pyplot as plt import matplotlib as mpl fig, ax = plt.subplots() ax.annotate ...

It is possible to set a logarithmic scale for one or both axes. This functionality is in fact only one application of a more general transformation system in Matplotlib. Each of the axes' scales are ...

Now that we've seen the basics, let's break it all down with a more formal introduction of Matplotlib's Object Oriented API. This means we will instantiate figure objects and then call methods or ...

Matplotlib is a versatile Python library for creating various types of data visualisations. Official documentation provides comprehensive guidance for creating and customising plots. Tutorials cover ...

Matplotlib is a leading library for data visualisation in Python, essential for creating impressive plots effortlessly. The library has influenced many other popular plotting libraries, highlighting ...