Installing matplotlib on Windows

There are two ways of installing matplotlib on Windows. The easiest way is by installing prepackaged Python environments, such as EPD, Anaconda, SageMath, and Python(x,y). This is the suggested way to install Python, especially for beginners.

The second way is to install everything using binaries of precompiled matplotlib and required dependencies. This is more difficult as you have to be careful about the versions of NumPy and SciPy you are installing, as not every version is compatible with the latest version of matplotlib binaries. The advantage in this is that you can even compile your particular versions of matplotlib or any library to have the latest features, even if they are not provided by authors.

The suggested way of installing free or commercial Python scientific distributions is as easy as following the steps provided on the project's website.

If you just want to start using matplotlib and don't want to be bothered with Python versions and dependencies, you may want to consider using the Enthought Python Distribution (EPD). EPD contains prepackaged libraries required to work with matplotlib and all the required dependencies (SciPy, NumPy, IPython, and more).

As usual, we download Windows installer (*.exe) that will install all the code we need to start using matplotlib and all recipes from this book.

There is also a free scientific project Python(x,y) (http://python-xy.github.io) for Windows 32-bit system that contains all dependencies resolved, and is an easy (and free!) way of installing matplotlib on Windows. Since Python(x,y) is compatible with Python modules installers, it can be easily extended with other Python libraries. No Python installation should be present on the system before installing Python(x,y).

Let me shortly explain how we would install matplotlib using precompiled Python, NumPy, SciPy, and matplotlib binaries:

Note that many examples are not included in the Windows installer. If you want to try the demos, download the matplotlib source and look in the examples subdirectory.