• Pycairo, including this documentation, is licensed under the LGPL-2.1-only OR MPL-1.1. The Pycairo bindings are designed to match the cairo C API as closely as possible, and to deviate only in cases which are clearly better implemented in a more ‘Pythonic’ way. Pip install pycairo Installing Pycairo requires cairo including its headers.
• The Pycairo bindings are designed to match the cairo C API as closely as possible, and to deviate only in cases which are clearly better implemented in a more ‘Pythonic’ way. Pip install pycairo Installing Pycairo requires cairo including its headers.

1. How To Install Pycairo Install Free
2. How To Install Pycairo Installer
3. How To Install Pycairo
4. How To Install Pycairo Install In Windows
5. How To Install Pycairo Install In Windows 10
6. How To Install Pycairo Install Kit
7. How To Install Pycairo Install Pc

To install PyCairo in your home directory you need to first install it's dependancies, Pixman and Cairo.

To do that, you can use our Install Software From Source guide.

I've managed to install it in a test user's home like that:

1. Open an SSH session to the server. If you don't know how this guide will help you.

2. Download and uncompress the source code

3. Export some usefull variables

4. Install libffi (This step is optional on a CentOS 6 machine)

5. Install glib (This step is optional on a CentOS 6 machine)

6. Install pixman

7. Install cairo

8. Install py2cairo

UPDATE: Replace the requirements.txt with this: References: Videos: V1 Windows 10 -Option 1.

The waf utility places the pycairo module to ~/lib/python2.7/site-packages/cairo/, which is not in the python path by default.

Depending on how you are going to use it (in a script or a mod_wsgi application for example) you might need to make some changes to your PYTHONPATH according to our Fixing ImportError Exceptions guide.

If you are going to use PyCairo to your apache/mod_wsgi server, you will also need to add the LD_LIBRARY_PATH variable you've exported on step 3 to your apache/mod_wsgi start script ~/webapps/your-app/apache2/bin/start as described in our Depending on Non-Standard Libraries and Headers Causes Errors guide.

If you are going to use PyCairo from an interactive python shell, then you will need to export the LD_LIBRARY_PATH from your ~/.bashrc file.

In order to complete this guide, I've just set my PYTHONPATH just before firing up a python interpreter to import the module:

Released:

Animation engine for explanatory math videos

Project description

Manim is an animation engine for explanatory math videos. It's used to create precise animations programmatically, as seen in the videos at 3Blue1Brown.

Installation

Manim runs on Python 3.7. You can install it from PyPI via pip:

System requirements are cairo, ffmpeg, sox, latex (optional, if you want to use LaTeX).

You can now use it via the manim command. For example:

For more options, take a look at the Using manim sections further below.

Directly

If you want to hack on manimlib itself, clone this repository and in that directory execute:

Directly (Windows)

1. Install FFmpeg.

2. Install Cairo. For most users, pycairo‑1.18.0‑cp37‑cp37m‑win32.whl will do fine.

3. Install a LaTeX distribution. MiKTeX is recommended.

4. Install SoX.

5. Install the remaining Python packages. Make sure that pycairo1.17.1 is changed to pycairo1.18.0 in requirements.txt.

Anaconda Install

• Install sox and latex as above.
• Create a conda environment using conda env create -f environment.yml
• WINDOWS ONLY Install pyreadline via pip install pyreadline.

Using virtualenv and virtualenvwrapper

After installing virtualenv and virtualenvwrapper

Using Docker

Since it's a bit tricky to get all the dependencies set up just right, there is a Dockerfile and Compose file provided in this repo as well as a premade image on Docker Hub. The Dockerfile contains instructions on how to build a manim image, while the Compose file contains instructions on how to run the image.

The prebuilt container image has manim repository included.INPUT_PATH is where the container looks for scene files. You must set the INPUT_PATHenvironment variable to the absolute path containing your scene file and theOUTPUT_PATH environment variable to the directory where you want media to be written.

1. Render an animation:

The command needs to be run as root if your username is not in the docker group.

You can replace example.scenes.py with any relative path from your INPUT_PATH.

After running the output will say files ready at /tmp/output/, which refers to path inside the container. Your OUTPUT_PATH is bind mounted to this /tmp/output so any changes made by the container to /tmp/output will be mirrored on your OUTPUT_PATH. /media/ will be created in OUTPUT_PATH.

-p won't work as manim would look for video player in the container system, which it does not have.

How To Install Pycairo Install Free

The first time you execute the above command, Docker will pull the image from Docker Hub and cache it. Any subsequent runs until the image is evicted will use the cached image.Note that the image doesn't have any development tools installed and can't preview animations. Its purpose is building and testing only.

Using manim

Try running the following:

The -p flag in the command above is for previewing, meaning the video file will automatically open when it is done rendering. The -l flag is for a faster rendering at a lower quality.

Some other useful flags include:

• -s to skip to the end and just show the final frame.
• -n <number> to skip ahead to the n'th animation of a scene.
• -f to show the file in finder (for OSX).

Set MEDIA_DIR environment variable to specify where the image and animation files will be written.

Look through the old_projects folder to see the code for previous 3b1b videos. Note, however, that developments are often made to the library without considering backwards compatibility with those old projects. To run an old project with a guarantee that it will work, you will have to go back to the commit which completed that project.

How To Install Pycairo Installer

While developing a scene, the -sp flags are helpful to just see what things look like at the end without having to generate the full animation. It can also be helpful to use the -n flag to skip over some number of animations.

Documentation

Documentation is in progress at eulertour.com/docs.

Walkthrough

Todd Zimmerman put together a tutorial on getting started with manim, which has been updated to run on Python 3.7.

Contributing

Is always welcome. In particular, there is a dire need for tests and documentation.

License

All files in the directory from_3b1b, which by and large generate the visuals for 3b1b videos, are copyright 3Blue1Brown.

The general purpose animation code found in the remainder of the repository, on the other hand, is under the MIT license.

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0.1.11

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How To Install Pycairo

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How To Install Pycairo Install In Windows

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