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, With Anaconda 2019.07’s newer Anaconda metapackage, conda update -all will make the metapackage go to the custom version in order to update other specs.Ĭonda update -all will only update the selected environment.Python -m pip install \ -upgrade \ -pre \ -index-url \ -extra-index-url \ matplotlib conda update -all may not be able to make everything the latest versions because you may have conflicting constraints in your environment. If any packages are orphaned by an update, they are removed. In doing so, it drops all the version constraints from the history and tries to make everything as new as it can. This updates all packages in the current environment to the latest version. See all of the available Anaconda versions.Ĭonda update -all will unpin everything. As of conda 4.7, when a package loses its connection to the set of specs that have been requested in the past, it gets removed. conda install anaconda=VERSION-NUMBER may remove packages if the new metapackage that is replacing your old one has removed packages. The “custom” version is lower in version ordering than any actual release number. There is a special “custom” version of the Anaconda metapackage that has all the package dependencies, but none of them are constrained. That metapackage represents a pinned state that has undergone testing as a collection. The below content provides more details about what is happening when you update Anaconda.Ĭonda install anaconda=VERSION-NUMBER grabs the specific release of the Anaconda metapackage for example, conda install anaconda=2022.05.
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