With matplotlib.use; Problem. The full script is published here. To run the script I installed only matplotlib and numpy packages, so the environment on all 3 systems (Windows, Linux, Mac OS) should be the same. Just in case, here they are. You could just install the Python 2.6 version of Matplotlib, assuming that Python2.6 is included with Lion (py2.5 & 2.6 are included with Mac OS 10.6 'Snow Leopard' - try typing python2.6 to find out if that version is installed.). On MacPorts you do this via something like: sudo port install py26-matplotlib. Is the standard mac python and since it doesn't have matplotlib you should always start your script with the one installed with ports. If python yourscript.py works then change the #! To: #!/usr/bin/env python Or put the full path to the python interpreter that has the matplotlib installed in its library. Matplotlib has a variety of modules available for import. To begin this course, we will be using the pyplot module, which is typically imported under the alias plt. The full command for importing this is below: import matplotlib.pyplot as plt.
In this tutorial, we will learn about installing matplotlib on different operating systems like windows and mac os, we will also have a brief look at how to work with matplotlib in jupyter notebook.
In order to start working with matplotlib, we need to make sure it’s installed first on our system. There are various ways to install matplotlib depending on the software you are working with. Let’s have a look at how to start working with matplotlib on different systems:
You can install matplotlib with pip on windows with the following statement:
If you are using matplotlib on a code editor like Sublime Text, you can verify the installation of matplotlib:
You can install matplotlib with pip on macos with the following statement:
If you are working with juypter notebook, then you can simply import matplotlib in it because it comes pre-installed with the jupyter notebook. The import statement looks like this:
You can use the anaconda distribution as well for installing matplotlib as you don’t have to manually install matplotlib with Anaconda since is it already featured inside the distribution.
Anaconda supports a number of libraries inside Python since it’s a world’s popular data science platform.
Once Matplotlib is installed on your system, you can verify the installation through checking the import option in jupyter or your current code editor by simple entering: