[Randall Munroe] certainly understands the power of graphical representation of data. The humorous plots in his xkcd webcomic are one of the favorite parts for many readers. Their distinctive, ...

Data visualization is at the heart of modern decision-making, and Matplotlib.pyplot is one of the most reliable tools in your arsenal for turning data into insights. From straightforward line plots to ...

If one was to compare the histogram output straight out or PyPlot and Plots with pyplot backend, the difference is quite stark. The data is identical, but the distributions look very different. I am ...

Plotting multiple charts in a grid pyplot.subplots creates a figure and a grid of subplots with a single call, while providing reasonable control over how the individual plots are created. For more ...

The following code inside the cell of ipynb notebook works just fine in a Jupter Notebook (using IJulia). The result is an inline SVG figure below the cell. And, it used to work fine a year ago when ...