How To Install Pycairo Installer

1/3/2018by
How To Install Pycairo Installers

Python bindings for the Cairo graphics library. Conda Files Labels Badges. License: LGPL 2.1, MPL 1.1; Home: Installers. Conda install. Linux-64 v1.13.3; win-32 v1.13.3; osx-64 v1.13.3; win-64 v1.13.3. To install this package with conda run: conda install -c conda-forge pycairo. Pycairo is a set of Python bindings for the cairo graphics library. Conda Files Labels. Info: This package contains files in non-standard labels. Conda install. Osx-64 v1.10.0. To install this package with conda run one of the following: conda install -c vgauthier pycairo conda install -c vgauthier/label/py3k pycairo. We provide a setup.cfg file which you can use to customize the build process. For example, which default backend to use, whether some of the optional libraries that Matplotlib ships with are installed, and so on. This file will be particularly useful to those packaging Matplotlib. If you have installed prerequisites to nonstandard.

Bsnl Wimax Hacking Tricks 2015. $ npm install canvas Unless previously installed you'll need Cairo. For system-specific installation view the. Log ( ' ' ); Non-Standard API node-canvas extends the canvas API to provide interfacing with node, for example streaming PNG data, converting to a Buffer instance, etc. Among the interfacing API, in some cases the drawing API has been extended for SSJS image manipulation / creation usage, however keep in mind these additions may fail to render properly within browsers.

Image#src=Buffer node-canvas adds Image#src=Buffer support, allowing you to read images from disc, redis, etc and apply them via ctx.drawImage(). Below we draw scaled down squid png by reading it from the disk with node's I/O. } ); Currently only sync streaming is supported, however we plan on supporting async streaming as well (of course:) ). Until then the Canvas#toBuffer(callback) alternative is async utilizing eio_custom(). Canvas#jpegStream() and Canvas#syncJPEGStream() You can likewise create a JPEGStream by calling canvas.jpegStream() with some optional parameters; functionality is otherwise identical to pngStream(). See examples/crop.js for an example. Note: At the moment, jpegStream() is the same as syncJPEGStream(), both are synchronous.

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