September 2019
Intermediate to advanced
420 pages
10h 29m
English
Knowing how to load data is of limited use if we don't know how to look at the data. Thankfully, there is Matplotlib!
Matplotlib is a multiplatform data visualization library built on NumPy arrays—see, I promised you NumPy would show up again. It was conceived by John Hunter in 2002, originally designed as a patch to IPython to enable interactive MATLAB-style plotting from the command line. In more recent years, newer and shinier tools have popped up to eventually replace Matplotlib (such as ggplot and ggvis in the R language), but Matplotlib remains essential as a well-tested, cross-platform graphics engine.
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