First, we'll create a reference plot with some shapes that extend to the edges of the figure and with whitespace in the middle so that we can test that transparency works. At the end we call ...

mpl_axes_aligner.shift expands or shifts the plotting range of a matplotlib axis to align the origin with the given position. mpl_axes_aligner.align adjust the plotting range of two matplotlib axes to ...

Without clear communication, all the data science in the world is just math. Getting better at communicating your results is vital to having an impact as a data scientist and if a picture is worth a ...

Pick one of nine standard spots inside the axes loc='upper left' (a string) String locations place the legend within the bounding box, which by default is the full axes area. Use a numeric code ...

Visualizing data can feel like trying to sketch a masterpiece with a dull pencil. You know what you want to create, but the tool in your hand just isn’t cooperating. If you’ve ever stared at a jumble ...

However, before we ditch the histogram entirely, let’s try and make it more beautiful, richer in information as well as easier to interpret. For this article, we’ll use the “Avocado Prices” data set ...

Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data itself. Clear plotting improves when scatter plots and large datasets are simplified for ...