pylab, on the other hand, is a module within matplotlib that exists only to bring a number of functions and classes from both numpy and pyplot into the global namespace, making it easy for MATLAB users who were not used to imports to use Matplotlib.Ġ2:20 This means that all they needed was a good old from pylab import * at the top of their script, and they could use all the functions as if they were defined right there in their script at the global level, just as they would in MATLAB.Ġ2:36 Well, we Pythonistas know that this is a bad practice, especially when the library contains tons of functions. And, as we’ll learn soon, it does a lot of work for us behind the scenes. pyplot is the high-level interface we can use to perform common actions on our plot. These functions all exist inside of a submodule of matplotlib called pyplot.Ġ1:37 pyplot contains a collection of command style functions that mimic the behavior of MATLAB. The Python concept of importing is not heavily used in MATLAB, meaning that most of MATLAB’s functions are readily available to the user at the top level.Ġ1:22 These functions can be called on their own, instead of on some object or a module alias. But now Matplotlib is a full-fledged community effort developed and maintained by a host of talented individuals.Ġ1:03 One area where Matplotlib draws inspiration from MATLAB is in its global import style. He wanted to emulate MATLAB’s plotting commands, but within Python, effectively combining the power of both Python and MATLAB.Ġ0:51 Unfortunately, John passed away in 2012. Hunter in the early 2000s.Ġ0:35 His original inspiration for the project came from the popular MATLAB software.
Matplotlib was originally developed by a neurobiologist named John D. To help understand that, we first need to look at the history of Matplotlib.
This includes pyplot and PyLab, object hierarchy, and stateful versus stateless approaches.Ġ0:16 This video will cover pyplot and PyLab.
00:00 Before we can start coding our graphics, we need to talk about some of the theory behind Matplotlib.
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