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renders the output of pyecharts as png, jpeg, gif, svg, eps, pdf and raw base64

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pyecharts-snapshot

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News - 16.04.2019

Since 0.2.0, NO LONGER, phantomjs is required! NO LONGER, it supports python 2.7

BUT, the capability to render pyecharts in a script has been merged into pyecharts 1.0.0. And the dependency on phantomjs has been sprawn as: snapshot-phantomjs .

If you love to use 'snapshot' command line, please continue to use this project.

Introduction

pyecharts-snapshot renders the output of pyecharts/echarts.js as a png, jpeg, gif, eps, svg image, raw base64 encoding or a pdf file at command line.

Usage

Get png:

$ snapshot render.html

And you will get:

https://raw.githubusercontent.com/pyecharts/pyecharts-snapshot/master/images/demo.png

Get pdf:

$ snapshot render.html pdf

And you will get:

https://raw.githubusercontent.com/pyecharts/pyecharts-snapshot/master/images/demo_in_pdf.png

And here the code to generate it

Get svg:

$ snapshot render.html svg

Please be aware that render.html should have configure echarts to do svg rendering. This library, being stupid, does not make canvas rendered image as svg rendered. Here is an example svg file.

Usage details

Command line options:

$ snapshot output.html [png|jpeg|gif|svg|pdf] [delay] [pixel ratio]

where:

delay tells pyecharts-snapshot to take a snapshot after some time measured in seconds. It is needed only when your snapshot is partial because the chart animation takes long than 1.5 second(default). pixel ratio tells pyecharts-snapshot to use a different pixel ratio when generate the image. It defaults to 2.

Programmatical usage is simple:

...
somechart.render(path='cool_snapshot.png')  # delay=1, pixel_ratio=3) 1 second delay, 3 as pixel ratio

where delay as an optional parameter can be given to specify delay_in_seconds.

Coffee

Please buy me a coffee if you think this library helped.

Installation

You can install pyecharts-snapshot via pip:

$ pip install pyecharts-snapshot

or clone it and install it:

$ git clone https://github.com/pyecharts/pyecharts-snapshot.git
$ cd pyecharts-snapshot
$ python setup.py install

And you need to do:

$ pyppeteer-install

Note

pyppeteer-install is recommended but optional. Your first ever run of snapshot command will invoke pyppeteer-install. This command will download Chrominium, about 100MB

Test status

Fully tested on 3.6, 3.7 and 3.8-dev.

Constraints

Only one image at a time. No 3D image support

Design Considerations

  1. Ghost.Py: very hard to install on my own. Dropped

Maintenance Instructions

  1. install pyecharts-snapshot
  2. make demo
  3. take screenshots of grid.pdf and snapshot.pdf in examples folder