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. Problem; Solution. The right backend. With pyplot.rcParams; With matplotlib.use; Problem. The full script is published. Mac doesn’t have a preinstalled package manager, but there are a couple of popular package managers you can install. For Python 3.5 with Macports, execute this command in a terminal: sudo port install py35 - numpy py35 - scipy py35 - matplotlib py35 - ipython + notebook py35 - pandas py35 - sympy py35 - nose. The Windows installers (.exe) and wheels (.whl) on the download page do not contain test data or example code. If you want to try the many demos that come in the matplotlib source distribution, download the.tar.gz file and look in the examples subdirectory. Mac doesn’t have a preinstalled package manager, but there are a couple of popular package managers you can install. For Python 3.5 with Macports, execute this command in a terminal: sudo port install py35 - numpy py35 - scipy py35 - matplotlib py35 - ipython + notebook py35 - pandas py35 - sympy py35 - nose. This book is about Matplotlib, a Python package for 2D plotting that generates production quality graphs. Its variety of output formats, several chart types, and capability to run either interactively (from Python or IPython consoles) and non-interactively (useful, for example, when included into web applications), makes Matplotlib suitable for use in many different situations.
Download Source Code ffmpeg-snapshot.tar.bz2
More releases
More releases
If you find FFmpeg useful, you are welcome to contribute by donating. More downloading options
Get packages & executable files
FFmpeg only provides source code. Below are some links that provide it already compiled and ready to go.
Linux Packages
Linux Static Builds
Windows EXE Files
macOS
Get the Sources
You can retrieve the source code through Git by using the command:
Cannot access Git or wish to speed up the cloning and reduce the bandwidth usage?
FFmpeg has always been a very experimental and developer-driven project. It is a key component in many multimedia projects and has new features added constantly. Development branch snapshots work really well 99% of the time so people are not afraid to use them.
Git Repositories
Since FFmpeg is developed with Git, multiple repositories from developers and groups of developers are available.
Clone URL | Description |
---|---|
Main FFmpeg Git repository | |
https://git.ffmpeg.org/ffmpeg-web | Main ffmpeg.org website repository |
https://git.ffmpeg.org/fateserver | fate.ffmpeg.org server software repository |
Mirrors | |
Mirror of the main repository | |
Mirror of the website repository | |
Mirror of the FATE server repository |
Releases
Approximately every 6 months the FFmpeg project makes a new major release. Between major releases point releases will appear that add important bug fixes but no new features. Note that these releases are intended for distributors and system integrators. Users that wish to compile from source themselves are strongly encouraged to consider using the development branch (see above), this is the only version on which FFmpeg developers actively work. The release branches only cherry pick selected changes from the development branch, which therefore receives much more and much faster bug fixes such as additional features and security patches.
Matplotlib Download Mac Os
FFmpeg 4.3.1 '4:3'
4.3.1 was released on 2020-07-11. It is the latest stable FFmpeg release from the 4.3 release branch, which was cut from master on 2020-06-08.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 4.2.4 'Ada'
4.2.4 was released on 2020-07-09. It is the latest stable FFmpeg release from the 4.2 release branch, which was cut from master on 2019-07-21.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 4.1.6 'al-Khwarizmi'
4.1.6 was released on 2020-07-05. It is the latest stable FFmpeg release from the 4.1 release branch, which was cut from master on 2018-11-02.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 4.0.6 'Wu'
4.0.6 was released on 2020-07-03. It is the latest stable FFmpeg release from the 4.0 release branch, which was cut from master on 2018-04-16.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 3.4.8 'Cantor'
3.4.8 was released on 2020-07-04. It is the latest stable FFmpeg release from the 3.4 release branch, which was cut from master on 2017-10-11.
![Download Matplotlib Mac Download Matplotlib Mac](/uploads/1/1/9/8/119870925/686155989.jpg)
It includes the following library versions:
Download bzip2 tarballPGP signature
How To Install Matplotlib Mac
ChangelogRelease Notes
FFmpeg 3.2.15 'Hypatia'
3.2.15 was released on 2020-07-02. It is the latest stable FFmpeg release from the 3.2 release branch, which was cut from master on 2016-10-26.
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
FFmpeg 2.8.17 'Feynman'
2.8.17 was released on 2020-07-07. It is the latest stable FFmpeg release from the 2.8 release branch, which was cut from master on 2015-09-05. Amongst lots of other changes, it includes all changes from ffmpeg-mt, libav master of 2015-08-28, libav 11 as of 2015-08-28.
Python Matplotlib Download
It includes the following library versions:
Download bzip2 tarballPGP signature
ChangelogRelease Notes
Old Releases
Matplotlib Install
Older versions are available at the Old Releases page.
转 Install Python, NumPy, SciPy, and matplotlib on Mac OS X
A bit ago a friend and I both had fresh Mac OS X Lion installs so I helped him set up his computers with a scientific Python setup and did mine at the same time. These instructions are for Lion but should work on Snow Leopard or Mountain Lion without much trouble. On Snow Leopard you won’t install Xcode via the App Store, you’ll have to download it from Apple. After I’d helped my friend I found this blog post describing a procedure pretty much the same as below. Update: If doing all the stuff below doesn’t seem like your cup of tea, it’s also possible to install Python, NumPy, SciPy, and matplotlib using double-click binary installers (resulting in a much less flexible installation), see this post to learn how. You will need Apple’s developer tools in order to compile Python and the other installs. On Lion you can install Xcode from the App Store, on Snow Leopard you’ll have to get an older Xcode from developer.apple.com. I use the Xcode editor because I like its syntax highlighting, code completion, and organizer. However, I use hardly any of its features and unless you’re an iOS or Mac developer you probably won’t either. If you prefer another editor it’s possible to get only the libraries and compilers that you need with the Command Line Tools for Xcode. (You’ll need a free Apple ID.) (See also http://www.kennethreitz.com/xcode-gcc-and-homebrew.html.) Homebrew is an excellent package manager for Mac OS X that can install a large number of packages. To install it simply launch a terminal and enter Homebrew installs things to /usr/local/ so you don’t need sudo permissions. To add Homebrew installed executables and Python scripts to your path you’ll want to add the following line to your .profile (or .bash_profile ) file:Normal executables go in /usr/local/bin/ and Python scripts installed by Homebrew go in/usr/local/share/python/ .See https://github.com/mxcl/homebrew/wiki/The-brew-command or type brew help or man brew for more info on Homebrew. Sure cuts a lot 2 mac download launcher.Now that you’ve got Homebrew installing Python is simple: Homebrew will install a couple of packages required by Python and then Python itself. Don’t be surprised if this takes a couple minutes. Important: You should close your terminal and open a fresh one right now so that it has the updated PATH from the previous section. Car mechanic simulator dlc download. Otherwise you run the risk of executing the wrong scripts during the rest of these instructions. At this point you should be able to get a fresh terminal and type and see Homebrew is for installing system packages and tools; for managing Python add-ons we wantpip. Luckily easy_install, another Python package manager is installed by Homebrew and we can use it to install pip: Use pip to install NumPy: This should install NumPy 1.6.1 (as of Feb. 2012). We need gfortran to compile SciPy but it is not included with the other Xcode tools. Luckily, Homebrew can help us out again: When that’s done it’s a cinch to install SciPy: This should install SciPy 0.10. To install matplotlib we need to revisit Homebrew one more time: And the usual pip command: This should install matplotlib 1.2.0. If it doesn’t you can try installing from the matplotlib development repo: Congratulations! You should now have the basics of a scientific Python installation that’s easy to manage and upgrade using Homebrew and pip. Fire up Python and make sure things worked. The following should work in Python with no errors: Enjoy! |
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