The default Python Windows installer is 32 bits and this is what I will use in this article. I think the Python installer does that automatically for you. The Homebrew-based package also apparently brings pip with it for additional installations. I have installed all the packages mentionned above. And what does the w at the end of python mean? This should successfully build and instal the library.
Installing Mayavi was no laughing matter, but it did work in the end, particularly with the help of. I have no idea what to do now. This means you can set them if your toolchain is prefixed. I use both in the course of my job and teaching. But reading through the documentation, there are multiple ways to install the scipy stack and I want to know what the differences are.
Two widely used package managers are Homebrew, and MacPorts. I am not sure if installing matplotlib is what I need to do, but it was the link given in my textbook I am self studying, so there's no one I can ask. The only thing I can recommend is starting over, or maybe going with one of the all-in-one installers for scientific Python. I assume this means both methods install the pre-built binary packages from pip in the form of wheels. So, for you Mac users out there, and you know who you are, here is the site that can help you experience the wonderful scientific computing opportunities that Pylab can offer you! Copy the failed buid lines beginning with gcc, then paste them on the commandline. While Matlab has a single application plus many toolkits to install, the Pythonic solution has no less than Python + Numby + Scipy + Matplotlib to get things rolling. In the end, there is no perfect solution but as long as you knowingly decide for one, you're unlikely to run into issues.
There is also an interactive mode in which you can plot functions. Dependencies Matplotlib requires a large number of dependencies: LaTeXand GhostScript for rendering text with LaTeX. I ended up having to activate the virtualenv where matplotlib was installed and running the Homebrew update from there. Update: These instructions are over a year old, though they may still work for you. Installing MatplotLib If you want to do this a little more hands on, it's not much more difficult.
WinPython is an option for windows users. This will most likely fail. You can read more about Python environment in the. In a terminal window, navigate to the image library directory. Note The following backends work out of the box: Agg, ps, pdf, svg and TkAgg. If you are on Linux, you might prefer to use your package manager. See for more details on the optional Matplotlib backends and the capabilities they provide.
Start the installer and select Customize installation. So, make sure the script has! PyLab was designed with the interactive Python interpreter in mind, and therefore many of its functions are short and require minimal typing. As mentioned, I am not sure if my understanding is correct and I have not been able to find any answers, so any insights or confirmations would be appreciated. After that, you run make and make install. If the version is 2. Following , my first step was to install virtualenv, which allowed me to isolate the subsequent packages in case I later wanted to install a different, potentially conflicting set of packages. Make sure that it says! If not using pkg-config in particular on Windows , you may need to set the include path to the FreeType, libpng, and zlib headers and link path to the FreeType, libpng, and zlib libraries explicitly, if they are not in standard locations.
To easily install a complete Scientific Python stack, see Scientific Python Distributions below. By default, if you close your Terminal, the environment is deactivated. X's pip - but one implicitly, the other explicitly. Matplotlib is packaged for almost every major Linux distribution. Python extensions should be compiled with the same compiler, see e.
Head over to and download the installer. And the first package to install is a tool to manage multiple sets of packages. More info on that here:. This is useful if you want, for example, to experiment with the development version of Python or some other library, while keeping the stable versions separate. This file will be particularly useful to those packaging Matplotlib.