Instructions within and the concept of the Matplotlib backend. Process, governed by the matplotlibrc configuration file which contains Sure you understand Matplotlib's configuration This will give you additional information about which backends Matplotlib is Python - c "from pylab import * set_loglevel('debug') plot() show()" Open up a UNIX shell or a DOS command prompt and run, for Rather than working interactively from a python shell or an integratedĭevelopment environment such as IDLE which add additionalĬomplexities. If not, the best way to test your install is by running a script, The first thing to try is a clean install and see if Matplotlib compiled fine, but nothing shows up when I use it # Matplotlib compiled fine, but nothing shows up when I use it See Setting up Matplotlib for development. That any DLLs that you copy into the source tree will be packaged too. If you are building your own Matplotlib wheels (or sdists) on Windows, note Thisįile will be particularly useful to those packaging Matplotlib. Optional libraries that Matplotlib ships with are installed, and so on. For example, which default backend to use, whether some of the We provide a mplsetup.cfg file which you can use to customize the build If you would like to build from a tarball, grab the latest tar.gz release May result in your build producing unexpected behavior and/or causing Proceed with caution because these instructions The following instructions in this section are for very custom The easiest way to get the latest development version to start contributing Required to build matplotlib from source. They should be selected by default under the "Optional" subheading, but are Windows SDK compatible with your version of Windows are selected and installed. Selected, and that the latest MSVC, "C++ CMake tools for Windows," and a Will need xcode on Windows, you will need Visual Studio 2015 or later.įor those using Visual Studio, make sure "Desktop development with C++" is Should be installed using your distribution's package manager on macOS, you Typically, on Linux, you will need gcc, which Yourself, it is not difficult to build Matplotlib from source.įirst you need to install the Dependencies.Ī C compiler is required. Running the latest source code, or just like to build everything If you are interested in contributing to Matplotlib development, In the meantime, I've removed this code and will have to get it back when I use conda, or simply find another way to initialize Anaconda on demand, only in the Terminal instances I want to use it.Python -m pip install \ -upgrade \ -pre \ -index-url \ -extra-index-url \ matplotlib Please let me know on Twitter if you find out how to make this initialization faster. Others may see this in M1, M1 Pro, M1 Max, M1 Ultra, and M2 chips and the incoming M2 Pro, M2 Max, and M2 Ultra. So the issue seems independent of specific chips but may be an Apple-Silicon-only problem. In my case, it's not the M1 Pro but the M1 Max. This issue also happens with Miniforge on Macbooks, as seen in this GitHub issue titled Slow zsh startup on MacBook Pro 14-inch (M1 Pro). "/Users/nono/anaconda3/etc/profile.d/conda.sh"Įxport PATH="/Users/nono/anaconda3/bin:$PATH" _conda_setup="$('/Users/nono/anaconda3/bin/conda' 'shell.zsh' 'hook' 2> /dev/null)" !! Contents within this block are managed by 'conda init' !! Here's my initialization code, auto-generated by Anaconda. I'm used to hitting CMD + N for a new window or CMT + T for a new tab and starting to type immediately.īut this issue breaks my workflow and keeps me hanging for a few seconds per new window (!). When I start a new Terminal window, I see how a Python process takes up to 5–10 seconds to finalize before the Terminal becomes responsive. I've used it on my former Intel and M1 Macs, but it was just recently that I migrated my code to a new M1 Max Apple Silicon Mac. I've had conda's initialization code in my.
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