- How To Download Matplotlib For Python Macros
- Download Matplotlib For Python 3.5
- How To Install Matplotlib Python
![How To Download Matplotlib For Python Mac How To Download Matplotlib For Python Mac](/uploads/1/3/3/2/133277272/965622827.png)
Matplotlib mac free download. Matplotlib Matplotlib is a python library for making publication quality plots using a syntax familiar to MATLA.
- These downloadable files require little configuration, work on almost all setups, and provide all the commonly used scientific python tools. Anaconda works on Windows, Mac, and Linux, provides over 1,500 Python/R packages, and is used by over 15 million people. Anaconda is best suited to beginning users; it provides a large collection of.
- 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 where py26.
I’ve got a weird problem with one of my Python scripts. It creates a chart with animation, and this animation works fine on Windows and Linux, but on Mac OS it just doesn’t show up. Here’s a video demonstration:
If video doesn’t play in your browser, you can download it here
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:
I’ve tried other simple plot animation samples (for instance, the ones from matplotlib documentation), and all of them work fine on Mac OS, so there has to be something wrong with my particular script. However, the fact that this very same script works on Windows and Linux confused me a lot. As a side note, you might have noticed that animation speed is different between Windows and Linux (the latter is faster), and I’ve no idea what could be the reason of that either, though it’s not so important here.
I’ve also tested my script on 3 other Macs with different Mac OS and Python versions installed, just to make sure that it’s not my environment who messes things up, but it was the same on all of them - no animation showing up.
After submitting a question at Stack Overflow and also at matplotlib forum, I thought about reading the documentation (classic).
The right backend
There I soon enough discovered the backends section. That helped me to google some more ideas, for instance this answer shown what’s needed to make animation from my script work in Jupyter notebook - just a single line in the very beginning of the script:
And then animation started to work. Okay, so what backend does Jupyter uses in this case then:
It returned
TkAgg
- so that’s what can show animations in my script! Now I only need to set the same backend in my standalone script.By the way, if you are curious, without
%matplotlib Tk
Jupyter reports module://ipykernel.pylab.backend_inline
value for backend.With pyplot.rcParams
Using the same print statement, I’ve discovered what backend is used by default when running my script in terminal:
MacOSX
. Right then, so this backend is incapable to run my animation for some reason. But since I now know the backend that is capable, I’ve set it like this:But even though it reported a new backend in the output, the animation still wasn’t showing up:
So setting the backend via
plt.rcParams['backend']
isn’t supported? That’s a bit unexpected, as according to the documentation, it should be.With matplotlib.use
Anyway, after some more googling I’ve found this answer, and that was what finally worked:
Now my script runs and shows the animation. It also prints the following warning to the output:
…which is due to the fact that default Tcl/Tk on Mac OS is outdated (
8.5
at the moment), and if you (like me) are getting Python from Homebrew, then it won’t be trivial to link it with the latest version of Tcl/Tk. But for now it works as it is, so it’s all good for the time being.[17.09.2020] Update: Fixed script
As it was pointed out in the bugreport, the
line
is added anew to the plot each time inside animate()
function, instead of modifying existing line, and that’s what was causing the chart to go all rainbowy.After fixing the script like this:
I now get the following result even with default
MacOSX
backend:If video doesn’t play in your browser, you can download it here
Almost good, except for this horizontal line (by the way, it’s not present with
TkAgg
backend). Setting blit=False
gets rid of this line, and also causes the animation to play considerably slower (but that’s not really a problem).Matplotlib and its dependencies are available as wheel packages for macOS,Windows and Linux distributions:
If this command results in Matplotlib being compiled from source andthere's trouble with the compilation, you can add
--prefer-binary
toselect the newest version of Matplotlib for which there is aprecompiled wheel for your OS and Python.Note
How To Download Matplotlib For Python Macros
The following backends work out of the box: Agg, ps, pdf, svg
Python is typically shipped with tk bindings which are used byTkAgg.
For support of other GUI frameworks, LaTeX rendering, savinganimations and a larger selection of file formats, you need toinstall additional dependencies.
Although not required, we suggest also installing
IPython
forinteractive use. To easily install a complete Scientific Pythonstack, see Scientific Python Distributions below.![How to install matplotlib mac How to install matplotlib mac](/uploads/1/3/3/2/133277272/149165072.jpg)
The wheels (
*.whl
) on the PyPI download page do not contain test dataor example code.Download Matplotlib For Python 3.5
If you want to try the many demos that come in the Matplotlib sourcedistribution, download the
*.tar.gz
file and look in theexamples
subdirectory.To run the test suite:
How To Install Matplotlib Python
- extract the
lib/matplotlib/tests
orlib/mpl_toolkits/tests
directories from the source distribution. - install test dependencies: pytest,MiKTeX, GhostScript, ffmpeg, avconv, ImageMagick, and Inkscape.
- run
python-mpytest
.