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🤝 Merge branch 'dev' into pyecharts-cli-replaces-jupyter-pip
This commit is contained in:
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2
.gitignore
vendored
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@ -8,7 +8,7 @@ __pycache__/
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.idea
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# Distribution / packaging
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||||
.Python
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||||
test/render.html
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test/*.html
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env/
|
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build/
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develop-eggs/
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105
README.md
105
README.md
@ -1,24 +1,28 @@
|
||||
# [pyecharts](https://github.com/pyecharts/pyecharts) [](https://travis-ci.org/pyecharts/pyecharts) [](https://codecov.io/gh/pyecharts/pyecharts) [](https://badge.fury.io/py/pyecharts) [](https://opensource.org/licenses/MIT)
|
||||
# [pyecharts](https://github.com/pyecharts/pyecharts) [](https://travis-ci.org/pyecharts/pyecharts) [](https://codecov.io/gh/pyecharts/pyecharts) [](https://badge.fury.io/py/pyecharts) [](https://opensource.org/licenses/MIT)
|
||||
|
||||
> pyecharts is a library to generate charts using Echarts. It simply provides the interface between Echarts and Python.
|
||||
> pyecharts is a library to generate charts using Echarts. It simply provides the interface of 28+ kinds of charts between Echarts and Python.
|
||||
|
||||
|
||||
## Introduction
|
||||
[Echarts](https://github.com/ecomfe/echarts) is an open source library from Baidu for data visualization in javascript. It has awesome demo pages so I started to look out for an interface library so that I could use it in Python. I ended up with [echarts-python](https://github.com/yufeiminds/echarts-python) on github but it lacks of documentation and was not updated for a while. Just like many other Python projects, I started my own project, pyecharts, referencing echarts-python and another library [pygal](https://github.com/Kozea/pygal).
|
||||
|
||||
## Installation
|
||||
pyecharts works on Python2 and Python3. For more information please refer to [changelog.md](https://github.com/pyecharts/pyecharts/blob/master/changelog.md)
|
||||
### Python Compatibility
|
||||
|
||||
### Jupyter-Notebook
|
||||
Make sure you hava installed jupyter-notebook enviroment if you want to show your charts on notebook.
|
||||
How to install it?
|
||||
```
|
||||
$ pip install notebook
|
||||
pyecharts works on Python2.7 and Python3.4+.
|
||||
|
||||
pyecharts handles all strings and files with unicode encoding and you **MUST** use unicode string on Python 2.
|
||||
|
||||
```python
|
||||
#coding=utf-8
|
||||
from __future__ import unicode_literals
|
||||
```
|
||||
|
||||
### pyecharts
|
||||
|
||||
You can install it via pip
|
||||
```
|
||||
$ pip install pyecharts -U
|
||||
$ pip install pyecharts
|
||||
```
|
||||
|
||||
or clone it and install it
|
||||
@ -30,6 +34,9 @@ $ python setup.py install
|
||||
```
|
||||
|
||||
## Basic Usage
|
||||
|
||||
### Render to Local Html File
|
||||
|
||||
```python
|
||||
from pyecharts import Bar
|
||||
|
||||
@ -42,50 +49,86 @@ bar.add("evaporation", attr, v2, mark_line=["average"], mark_point=["max", "min"
|
||||
bar.render()
|
||||
```
|
||||
|
||||
It will create a file named render.html in the root directory, open file with your borwser.
|
||||
It will create a file named *render.html* in the root directory, open file with your borwser.
|
||||
|
||||
|
||||
|
||||
|
||||
### Export as Images or Pdf
|
||||
|
||||
## Working with pandas & numpy
|
||||
|
||||
[pyecharts-snapshot](https://github.com/pyecharts/pyecharts-snapshot) is a library which renders the output of pyecharts as a png, jpeg, gif image or a pdf file at command line or in your code.
|
||||
|
||||
See more detail at the repositoty.
|
||||
|
||||
## Working with Flask & Django
|
||||
Flask
|
||||
## Platform Support
|
||||
|
||||
pyecharts exposes chart API and template API so that it can work on some common platforms.
|
||||
|
||||
### Work on Jupyter Notebook
|
||||
|
||||
In the Notebook cell ,you can simply call the instance itself to diplay the chart.
|
||||
|
||||
All chart classes in pyecharts implement the `_repr_html_` interface about [IPython Rich Display](http://ipython.readthedocs.io/en/stable/config/integrating.html#rich-display) .
|
||||
|
||||
In the case of online jshost mode,you can also download as some file formats (ipynb/py/html/pdf) and run without jupyter notebook enviromnment.
|
||||
|
||||
|
||||
|
||||
### Integrate With Web Framework
|
||||
|
||||
With the help of pyecharts API,it is easy to integrate pyecharts to your web projects, such as Flask and Django.
|
||||
|
||||
Demo
|
||||
|
||||
|
||||
|
||||
Django
|
||||
## Advance Topics
|
||||
|
||||
|
||||
### Cusom Template FIles and Layout
|
||||
|
||||
* 中文文档
|
||||
* [pyecharts + Flask](https://github.com/pyecharts/pyecharts/blob/master/docs/zh-cn/doc_flask.md)
|
||||
* [pyecharts + Django](https://github.com/pyecharts/pyecharts/blob/master/docs/zh-cn/doc_django.md)
|
||||
* English
|
||||
* [pyecharts + Flask](https://github.com/pyecharts/pyecharts/blob/master/docs/en-us/doc_flask.md)
|
||||
* [pyecharts + Django](https://github.com/pyecharts/pyecharts/blob/master/docs/en-us/doc_django.md)
|
||||
pyecharts exposes engine API so that you can use your own template file and integrate with CSS framework.
|
||||
|
||||
In addition,pyecharts also ships a lot of jinja2 template functions used in template files.
|
||||
|
||||
### Custom Map Library
|
||||
|
||||
All map is hosted by the repository [echarts-china-cities-js](https://github.com/pyecharts/echarts-china-cities-js) and [echarts-countries-js](https://github.com/pyecharts/echarts-countries-js) .
|
||||
|
||||
## Documentation
|
||||
* [中文文档](https://github.com/pyecharts/pyecharts/tree/master/docs/zh-cn)
|
||||
* [English](https://github.com/pyecharts/pyecharts/tree/master/docs/en-us)
|
||||
|
||||
* [中文文档](http://pyecharts.org/#/zh-cn/)
|
||||
* [English Documentation](http://pyecharts.org/#/en-us/)
|
||||
|
||||
## Examples
|
||||
|
||||
All examples is hosted on the repository [pyecharts-users-cases](https://github.com/pyecharts/pyecharts-users-cases) .
|
||||
|
||||
## Test
|
||||
|
||||
If you work on Python2.7, please install `mock` library manually.
|
||||
### Unit Test
|
||||
|
||||
Run as the following commands.
|
||||
You should install the libraries in the requirements.txt files.
|
||||
|
||||
```shell
|
||||
$ cd test
|
||||
$ nosetests --with-coverage --cover-package pyecharts --cover-package test
|
||||
```
|
||||
pip install -r test\requirements.txt
|
||||
```
|
||||
|
||||
And run with the [nose](https://nose.readthedocs.io/en/latest/) commands.
|
||||
|
||||
```shell
|
||||
$ make
|
||||
```
|
||||
|
||||
### Quality Assurance
|
||||
|
||||
[flake8](http://flake8.pycqa.org/en/latest/index.html) and [pylint](https://www.pylint.org/) are used to improve the quality of code.
|
||||
|
||||
### Continuous Integration
|
||||
|
||||
The project is developed with [Travis CI](https://travis-ci.org/) .
|
||||
|
||||
## Author
|
||||
pyecharts is developed and maintained by chenjiandongx ([chenjiandongx@qq.com](chenjiandongx@qq.com))
|
||||
|
||||
[](https://github.com/chenjiandongx) [](https://github.com/chfw) [](https://github.com/kinegratii)
|
||||
|
||||
## License
|
||||
pyecharts is released under the MIT License. See LICENSE for more information.
|
||||
|
||||
@ -1 +1,26 @@
|
||||
# TODO
|
||||
# pyecharts 文档
|
||||
|
||||
[](https://travis-ci.org/pyecharts/pyecharts) [](https://codecov.io/gh/pyecharts/pyecharts) [](https://badge.fury.io/py/pyecharts) [](https://opensource.org/licenses/MIT)
|
||||
|
||||
|
||||
pyecharts 是一个用于生成 Echarts 图表的类库。Echarts 是百度开源的一个数据可视化 JS 库。用 Echarts 生成的图可视化效果非常棒，pyecharts 是为了与 Python 进行对接，方便在 Python 中直接使用数据生成图。
|
||||
|
||||
**基本使用**
|
||||
|
||||
[渲染图表](zh-cn/prepare) | [图表配置](zh-cn/charts)
|
||||
|
||||
**高级话题**
|
||||
|
||||
[图表 API](zh-cn/api) | [自定义地图](zh-cn/customize_map)
|
||||
|
||||
**平台支持**
|
||||
|
||||
[Jupyter Notebook](zh-cn/jupyter_notebook) | [Flask](zh-cn/flask) | [Django](zh-cn/django) | [web 框架整合](zh-cn/web_integration)
|
||||
|
||||
**其他资源**
|
||||
|
||||
[示例项目](https://github.com/pyecharts/pyecharts-users-cases) | [地图扩展项目](https://github.com/pyecharts/echarts-china-cities-js)
|
||||
|
||||
**项目开发**
|
||||
|
||||
[版本日志](zh-cn/changelog) | [发布日志](zh-cn/release-note/) | [开发团队](zh-cn/team) | [赞助者名单](zh-cn/donors) | [FAQ](zh-cn/faq)
|
||||
|
||||
@ -2,9 +2,11 @@
|
||||
|
||||
# pyecharts
|
||||
|
||||
> pyecharts is a Python Echarts Plotting Library.
|
||||
> A Python Echarts Plotting Library.
|
||||
|
||||
It simply provides the interface between Echarts and Python.
|
||||
* Chart: 28+ kinds of charts
|
||||
* Map: 300+ Chinese cities / 200+ countries and regions
|
||||
* Platforms: Pure Python / Jupyter Notebook / Web Framework
|
||||
|
||||
|
||||
[GitHub](https://github.com/pyecharts/pyecharts/)
|
||||
|
||||
@ -1,5 +1,26 @@
|
||||
# [pyecharts](https://github.com/chenjiandongx/pyecharts)
|
||||
[](https://travis-ci.org/pyecharts/pyecharts) [](https://codecov.io/gh/pyecharts/pyecharts) [](https://badge.fury.io/py/pyecharts) [](https://opensource.org/licenses/MIT)
|
||||
# pyecharts Document
|
||||
|
||||
[](https://travis-ci.org/pyecharts/pyecharts) [](https://codecov.io/gh/pyecharts/pyecharts) [](https://badge.fury.io/py/pyecharts) [](https://opensource.org/licenses/MIT)
|
||||
|
||||
|
||||
[Echarts](https://github.com/ecomfe/echarts) is an open source library from Baidu for data visualization in javascript. It has awesome demo pages so I started to look out for an interface library so that I could use it in Python. I ended up with [echarts-python](https://github.com/yufeiminds/echarts-python) on github but it lacks of documentation and was not updated for a while. Just like many other Python projects, I started my own project, pyecharts, referencing echarts-python and another library [pygal](https://github.com/Kozea/pygal).
|
||||
[Echarts](https://github.com/ecomfe/echarts) is an open source library from Baidu for data visualization in javascript. It has awesome demo pages so I started to look out for an interface library so that I could use it in Python. I ended up with [echarts-python](https://github.com/yufeiminds/echarts-python) on github but it lacks of documentation and was not updated for a while. Just like many other Python projects, I started my own project, pyecharts, referencing echarts-python and another library [pygal](https://github.com/Kozea/pygal).
|
||||
|
||||
**Basic Usage**
|
||||
|
||||
[Chart Render](en-us/prepare) | [Chart Options](en-us/charts)
|
||||
|
||||
**Advance Topics**
|
||||
|
||||
[Chart API](en-us/api) | [Custom Map](en-us/customize_map)
|
||||
|
||||
**Platform Support**
|
||||
|
||||
[Jupyter Notebook](en-us/jupyter_notebook) | [Flask](en-us/flask) | [Django](en-us/django) | [Web Integration](en-us/web_integration)
|
||||
|
||||
**Other Resources**
|
||||
|
||||
[Demo Projects](https://github.com/pyecharts/pyecharts-users-cases) | [Map Extension](https://github.com/pyecharts/echarts-china-cities-js)
|
||||
|
||||
**Development**
|
||||
|
||||
[Changelog](en-us/changelog) | [Release Note](en-us/release-note) | [Team](en-us/team) | [FAQ](en-us/faq)
|
||||
|
||||
@ -1,5 +1,7 @@
|
||||
- [Charts](en-us/doc_charts)
|
||||
- [pyecharts+Flask](en-us/doc_flask)
|
||||
- [pyecharts+Django](en-us/doc_django)
|
||||
- [Web integration](en-us/doc_web_integration)
|
||||
- [API](en-us/doc_api)
|
||||
- [Charts](en-us/charts)
|
||||
- [pyecharts+Flask](en-us/flask)
|
||||
- [pyecharts+Django](en-us/django)
|
||||
- [pyecharts+Flask](en-us/flask)
|
||||
- [pyecharts+Django](en-us/django)
|
||||
- [Web integration](en-us/web_integration)
|
||||
- [API](en-us/api)
|
||||
|
||||
@ -83,7 +83,11 @@ Data type:dict.The config options for a chart。Each chart has its own format an
|
||||
|
||||
**js_dependencies**
|
||||
|
||||
Data type:set.The js filename collections for a chart's dependencies.Every element do not contain the filename extension(.js).E.g `{'echarts.min', 'fujian'}` .
|
||||
*Changed in v0.4*
|
||||
|
||||
Data type:list.The js filename collections for a chart's dependencies.Every element do not contain the filename extension(.js).E.g `{'echarts.min', 'fujian'}` .
|
||||
|
||||
> In previous v0.4, the js_dependencies returns a unordered set.
|
||||
|
||||
|
||||
### Methods
|
||||
@ -245,8 +249,8 @@ Which mode is used is determined by the `PyEchartsConfig.jshost` and `PyEcharts
|
||||
| ---------------------------------------- | ------------ | ----------- | ------------------------- | --------------------- |
|
||||
| `/template/js/echarts` | local | IE | Generate one file locally | Default value |
|
||||
| `'https://chfw.github.io/jupyter-echarts/echarts'` | remote | IE | Generate on file | switch using `online` |
|
||||
| 其他本地模式 (如 `/static/js`) | local | EI | Integrate with Web | |
|
||||
| 其他远程模式（如 `hthttps://cdn.bootcss.com/echarts/3.7.2`） | remote | EI | Use remote JS | |
|
||||
| Other Local Host (E.g. `/static/js`) | local | EL | Integrate with Web | |
|
||||
| Other Remote Host(E.g. `hthttps://cdn.bootcss.com/echarts/3.7.2`) | remote | EL | Use remote JS | |
|
||||
|
||||
Example
|
||||
|
||||
63
docs/en-us/jupyter_notebook.md
Normal file
63
docs/en-us/jupyter_notebook.md
Normal file
@ -0,0 +1,63 @@
|
||||
# pyecharts Document - Jupyter Notebook
|
||||
|
||||
## Overview
|
||||
|
||||
You can show charts and export to some file formats in the Jupyter Notebook.
|
||||
|
||||
## Installation
|
||||
|
||||
When install the *pyecharts* package using the following command, a jupyter nbextension named *echarts/main* will be installed if jupyter exists.Or the nbextension installation will be skipped.
|
||||
|
||||
```shell
|
||||
pip install pyecharts
|
||||
```
|
||||
|
||||
In the development, you can also use the command to install manually jupyter nbextension.
|
||||
|
||||
```shell
|
||||
$ git clone https://github.com/pyecharts/jupyter-echarts.git
|
||||
$ cd jupyter-echarts
|
||||
$ jupyter nbextension install echarts --user
|
||||
```
|
||||
|
||||
You can check the jupyter nbextension using the *list* command.
|
||||
|
||||
```shell
|
||||
$ jupyter nbextension list
|
||||
Known nbextensions:
|
||||
config dir: /Users/jaska/.jupyter/nbconfig
|
||||
notebook section
|
||||
echarts/main enabled
|
||||
- Validating: OK
|
||||
```
|
||||
|
||||
|
||||
|
||||
## Show Charts
|
||||
|
||||
In the Notebook cell ,you can simply call the instance itself to diplay the chart.
|
||||
|
||||
All chart classes in pyecharts implement the `_repr_html_` interface about [IPython Rich Display](http://ipython.readthedocs.io/en/stable/config/integrating.html#rich-display) .
|
||||
|
||||
|
||||
|
||||
## Export Images and Pdf
|
||||
|
||||
You can also download as some file formats (ipynb/py/html/pdf) and run without jupyter notebook enviromnment.
|
||||
|
||||
**Important** ：You must be use remote jshost mode to enable this feature.
|
||||
|
||||
```python
|
||||
from pyecharts import online
|
||||
|
||||
online(host='https://my-site.com')
|
||||
```
|
||||
|
||||
## Demo
|
||||
|
||||
see more detail for [pyecharts-users-cases](https://github.com/pyecharts/pyecharts-users-cases) 。
|
||||
|
||||
## jupyterlab
|
||||
|
||||
[jupyterlab](https://github.com/jupyterlab/jupyterlab) is the next generation for Jupyter Notebook,and this is a very early preview, and is not suitable for general usage yet. We will pay Continuous attention to the development and make adapter with pyecharts.
|
||||
|
||||
27
docs/en-us/team.md
Normal file
27
docs/en-us/team.md
Normal file
@ -0,0 +1,27 @@
|
||||
# Author
|
||||
|
||||
## Development Team
|
||||
|
||||
Home Url: https://github.com/pyecharts
|
||||
|
||||
| Avatar | Username | Role |
|
||||
| ------ | ------ | ------ |
|
||||
|  | [chenjiandongx](https://github.com/chenjiandongx) | Owner |
|
||||
| <img src="https://avatars2.githubusercontent.com/u/4280312?s=60&v=4" width="60px"/> |[chfw](https://github.com/chfw) | Member |
|
||||
|  | [kinegratii](https://github.com/kinegratii) | Member |
|
||||
|
||||
## Contributors
|
||||
|
||||
> Thank you for contributions ！
|
||||
|
||||
| Avatar | Username |
|
||||
| ------ | ------ |
|
||||
| <img src="https://avatars2.githubusercontent.com/u/7701324?s=60&v=4" alt="landpack" width="60px"/> | [landpack](https://github.com/landpack) |
|
||||
| <img src="https://avatars0.githubusercontent.com/u/5152516?s=60&v=4" alt="muxuezi" width="60px"/> | [muxuezi](https://github.com/muxuezi) |
|
||||
| <img src="https://avatars1.githubusercontent.com/u/15723603?s=60&v=4" alt="647-coder" width="60px"/> | [647-coder](https://github.com/647-coder) |
|
||||
| <img src="https://avatars0.githubusercontent.com/u/3361029?s=60&v=4" alt="sd8089730" width="60px"/> | [sd8089730](https://github.com/sd8089730) |
|
||||
| <img src="https://avatars0.githubusercontent.com/u/30370926?s=60&v=4" alt="MiracleXYZ" width="60px"/> | [MiracleXYZ](https://github.com/MiracleXYZ) |
|
||||
| <img src="https://avatars0.githubusercontent.com/u/17876968?s=60&v=4" alt="mowujilun" width="60px"/> | [mowujilun](https://github.com/mowujilun) |
|
||||
| <img src="https://avatars1.githubusercontent.com/u/30023826?s=60&v=4" alt="xbanke" width="60px"/> | [xbanke](https://github.com/xbanke) |
|
||||
| <img src="https://avatars2.githubusercontent.com/u/15907728?s=60&v=4" alt="shkey" width="60px"/> | [shkey](https://github.com/shkey) |
|
||||
| <img src="https://avatars1.githubusercontent.com/u/1425636?s=60&v=4" alt="crispgm" width="60px"/> | [crispgm](https://github.com/crispgm) |
|
||||
BIN
docs/favicon.ico
Normal file
BIN
docs/favicon.ico
Normal file
Binary file not shown.
|
After Width: | Height: | Size: 4.2 KiB |
@ -8,14 +8,14 @@
|
||||
<meta name="description" content="Description">
|
||||
<meta name="viewport" content="width=device-width, user-scalable=no, initial-scale=1.0, maximum-scale=1.0, minimum-scale=1.0">
|
||||
<link rel="stylesheet" href="//unpkg.com/docsify/lib/themes/vue.css">
|
||||
<link rel="icon" href="favicon.ico">
|
||||
</head>
|
||||
|
||||
<body>
|
||||
<nav>
|
||||
<a href="#/">Home</a>
|
||||
<a href="#/">主页</a>
|
||||
<a href="#/zh-cn/">中文</a>
|
||||
<a href="#/en-us/">EN</a>
|
||||
<a href="#/release-note/">release</a>
|
||||
<a href="#/en-us/">English</a>
|
||||
</nav>
|
||||
<div id="app"></div>
|
||||
<script>
|
||||
@ -29,9 +29,7 @@
|
||||
auto2top: true,
|
||||
search: {
|
||||
maxAge: 86400000,
|
||||
paths: ['/zh-cn/', '/en-us/', '/release-note/'],
|
||||
placeholder: {
|
||||
'/': '全文搜索',
|
||||
'/zh-cn/': '全文搜索',
|
||||
'/release-note/': '全文搜索',
|
||||
'/en-us/': 'Search',
|
||||
|
||||
@ -1 +0,0 @@
|
||||
# TODO
|
||||
@ -1,2 +0,0 @@
|
||||
- [changelog](release-note/changelog)
|
||||
- [v0.3.0](release-note/v030)
|
||||
@ -1,5 +1,26 @@
|
||||
# [pyecharts](https://github.com/chenjiandongx/pyecharts)
|
||||
[](https://travis-ci.org/pyecharts/pyecharts) [](https://codecov.io/gh/pyecharts/pyecharts) [](https://badge.fury.io/py/pyecharts) [](https://opensource.org/licenses/MIT)
|
||||
# pyecharts 文档
|
||||
|
||||
[](https://travis-ci.org/pyecharts/pyecharts) [](https://codecov.io/gh/pyecharts/pyecharts) [](https://badge.fury.io/py/pyecharts) [](https://opensource.org/licenses/MIT)
|
||||
|
||||
|
||||
pyecharts 是一个用于生成 Echarts 图表的类库。Echarts 是百度开源的一个数据可视化 JS 库。用 Echarts 生成的图可视化效果非常棒，为了与 Python 进行对接，方便在 Python 中直接使用数据生成图，我写了这个项目。
|
||||
pyecharts 是一个用于生成 Echarts 图表的类库。Echarts 是百度开源的一个数据可视化 JS 库。用 Echarts 生成的图可视化效果非常棒，pyecharts 是为了与 Python 进行对接，方便在 Python 中直接使用数据生成图。
|
||||
|
||||
**基本使用**
|
||||
|
||||
[渲染图表](zh-cn/prepare) | [图表配置](zh-cn/charts)
|
||||
|
||||
**高级话题**
|
||||
|
||||
[图表 API](zh-cn/api) | [自定义地图](zh-cn/customize_map)
|
||||
|
||||
**平台支持**
|
||||
|
||||
[Jupyter Notebook](zh-cn/jupyter_notebook) | [Flask](zh-cn/flask) | [Django](zh-cn/django) | [web 框架整合](zh-cn/web_integration)
|
||||
|
||||
**其他资源**
|
||||
|
||||
[示例项目](https://github.com/pyecharts/pyecharts-users-cases) | [地图扩展项目](https://github.com/pyecharts/echarts-china-cities-js)
|
||||
|
||||
**项目开发**
|
||||
|
||||
[版本日志](zh-cn/changelog) | [发布日志](zh-cn/release-note/) | [开发团队](zh-cn/team) | [FAQ](zh-cn/faq)
|
||||
|
||||
@ -1,9 +1,9 @@
|
||||
- [快速开始](zh-cn/doc_prepare)
|
||||
- [图表详情](zh-cn/doc_charts)
|
||||
- [地图自定义](zh-cn/doc_customize_map)
|
||||
- [画廊](zh-cn/doc_gallery)
|
||||
- [pyecharts+Flask](zh-cn/doc_flask)
|
||||
- [pyecharts+Django](zh-cn/doc_django)
|
||||
- [Web整合](zh-cn/doc_web_integration)
|
||||
- [API](zh-cn/doc_api)
|
||||
- [FAQ](zh-cn/doc_faq)
|
||||
- [快速开始](zh-cn/prepare)
|
||||
- [图表详情](zh-cn/charts)
|
||||
- [地图自定义](zh-cn/customize_map)
|
||||
- [pyecharts+Flask](zh-cn/flask)
|
||||
- [pyecharts+Django](zh-cn/django)
|
||||
- [Web 整合](zh-cn/web_integration)
|
||||
- [艺术展](zh-cn/gallery)
|
||||
- [API](zh-cn/api)
|
||||
- [FAQ](zh-cn/faq)
|
||||
@ -39,24 +39,10 @@ js 文件仓库路径。可以设置本地或者远程地址。所有的远程
|
||||
也可以使用 `pyecharts.online()` 函数设置此选项。
|
||||
为了保持兼容性， jshost 并不是必须使用 '/' 等分隔符作为结尾。
|
||||
|
||||
注意的是，在 Jupyter Notebook 环境中，当使用
|
||||
|
||||
**force_js_embed**
|
||||
|
||||
是否强制采用内部嵌入方式渲染js文件标签， `echarts_js_dependencies` 模板函数受此影响，具体可参考该函数。
|
||||
|
||||
### 配置方法
|
||||
|
||||
类 `PyEchartsConfig` 拥有一些在实际运行过程中访问配置的方法。
|
||||
|
||||
**get_current_jshost_for_script**
|
||||
|
||||
获取纯 Python 环境下 jshost 的值。
|
||||
|
||||
**get_current_jshost_for_jupyter**
|
||||
|
||||
获取 Jupyter Notebook 环境中 jshost 的值。当 jshost 没有设置或者为本地路径时，返回路径将替换为 Jupyter Notebook nbextension 中的路径。
|
||||
|
||||
## 图表类
|
||||
|
||||
图表类是 pyecharts 库中最为核心的内容，每一个类代表了 [Echarts](http://echarts.baidu.com/) 中一个图表类型。下表显示了这些图表的继承体系。
|
||||
@ -81,11 +67,13 @@ js 文件仓库路径。可以设置本地或者远程地址。所有的远程
|
||||
|
||||
**width**
|
||||
|
||||
数字类型(number)或字符串(str)。图表容器 div 的宽度，以 px 为单位。
|
||||
数字类型(number)或字符串(str)。图表容器 div 的宽度，接收一个有效 css 长度形式的字符串；如果是数字，以 px 为单位。
|
||||
|
||||
**height**
|
||||
|
||||
数字类型(number)或字符串(str)。图表容器 div 的高度，以 px 为单位。
|
||||
数字类型(number)或字符串(str)。图表容器 div 的高度，接收一个有效 css 长度形式的字符串；如果是数字，以 px 为单位。
|
||||
|
||||
> chart_id、width、height 三个属性均支持可写。
|
||||
|
||||
**options**
|
||||
|
||||
@ -93,9 +81,9 @@ js 文件仓库路径。可以设置本地或者远程地址。所有的远程
|
||||
|
||||
**js_dependencies**
|
||||
|
||||
集合类型(set)，js 依赖文件名称列表，元素不包含文件后缀(.js)，如 `{'echarts.min', 'fujian'}` 。
|
||||
|
||||
列表类型(list)，js 依赖文件名称列表，元素不包含文件后缀(.js)，如 `{'echarts.min', 'fujian'}` 。
|
||||
|
||||
> 从v0.4开始，pyecharts 重写了 `js_dependencies` 的生成逻辑，目前返回的是有序、元素唯一的列表对象。另外还可以通过 `pyecharts.utils.merge_js_dependencies` 函数合并若干个图表的 js 依赖文件。
|
||||
|
||||
### 方法
|
||||
|
||||
@ -259,9 +247,9 @@ pyecharts 内置的引擎提供了一些模板函数，这些函数通常接收
|
||||
| 取值 | 本地/远程 | script 模式 | 使用场景 | 备注 |
|
||||
| ---------------------------------------- | ----- | ---------------------- | ------------- | ------------------ |
|
||||
| `/template/js/echarts` | 本地 | 内嵌 | 本地生成单一文件，直接移植 | 此为默认是设置 |
|
||||
| `'https://chfw.github.io/jupyter-echarts/echarts'` | 远程 | 内嵌 | 生成单一文件 | 使用 `online` 可切换到此项 |
|
||||
| `'https://pyecharts.github.io/jupyter-echarts/echarts'` | 远程 | 内嵌 | 生成单一文件 | 使用 `online` 可切换到此项 |
|
||||
| 其他本地模式 (如 `/static/js`) | 本地 | 外链，可以通过force_embed改成内嵌 | 可用于web框架整合 | |
|
||||
| 其他远程模式（如 `hthttps://cdn.bootcss.com/echarts/3.7.2`） | 远程 | 外链 | | 使用外部js，需依赖网络 |
|
||||
| 其他远程模式（如 `hthttps://cdn.bootcss.com/echarts/3.7.2`） | 远程 | 外链 | 使用外部js，需依赖网络 | |
|
||||
|
||||
|
||||
例子
|
||||
@ -1,19 +1,18 @@
|
||||
# version log
|
||||
# 版本日志
|
||||
|
||||
* ### version 0.4.0 (development)
|
||||
|
||||
* ### version 0.4.0 (echarts-3-8-5 branch)
|
||||
#### Updated
|
||||
|
||||
* 更新 jupyter-echarts 至 1.4.0: echarts 3.6.2 -> 3.8.5, echarts-gl 1.0.0-b4 -> 1.0.0-b6, echarts-liquidfill 1.0.5 -> 1.1.1, echarts-wordcloud 1.1.0 -> 1.1.2
|
||||
|
||||
* ### version 0.3.2（dev）
|
||||
|
||||
#### Updated
|
||||
* 更新 jupyter-echarts 至 1.3.6: [台湾地图补了市，县，岛](https://github.com/pyecharts/pyecharts/pull/316), [重庆地图补了开州区](https://github.com/pyecharts/pyecharts/pull/317)
|
||||
* 地图更新：[台湾地图补了市，县，岛](https://github.com/pyecharts/pyecharts/pull/316), [重庆地图补了开州区](https://github.com/pyecharts/pyecharts/pull/317)
|
||||
* 示例移到新的代码仓库 [pyecharts-users-cases](https://github.com/pyecharts/pyecharts-users-cases)
|
||||
* 优化图表API，图表 js_dependencies 属性返回有序列表
|
||||
* 图表 chart_id 支持可设置
|
||||
* 优化部分代码逻辑
|
||||
|
||||
#### Fixed
|
||||
|
||||
* [issue#322](https://github.com/pyecharts/pyecharts/issues/322) 修复在 timeline 中不能设置多个 legend 的 bug
|
||||
|
||||
* ### version 0.3.1 - 2017.12.13（Current）
|
||||
@ -3561,7 +3561,7 @@ style = Style(
|
||||
width=1100,
|
||||
height=600,
|
||||
background_color='#404a59'
|
||||
}
|
||||
)
|
||||
# style,init_style 会返回类初始化的风格配置字典
|
||||
geo = Geo("全国主要城市空气质量", "data from pm2.5", **style.init_style)
|
||||
```
|
||||
@ -3575,7 +3575,7 @@ pie_style = style.add(
|
||||
label_pos="center",
|
||||
is_label_show=True,
|
||||
label_text_color=None
|
||||
}
|
||||
)
|
||||
pie.add("", ["剧情", ""], [25, 75], center=[10, 30], **pie_style)
|
||||
pie.add("", ["奇幻", ""], [24, 76], center=[30, 30], **pie_style)
|
||||
pie.add("", ["爱情", ""], [14, 86], center=[50, 30], **pie_style)
|
||||
@ -3587,4 +3587,4 @@ pie.add("", ["惊悚", ""], [11, 89], center=[70, 30], **pie_style)
|
||||
|
||||
* 欢迎提交 ISSUE 和 PR
|
||||
* 如有想单独讨论的话可以使用邮箱 -> chenjiandongx@qq.com
|
||||
* 关注 [changelog.md](https://github.com/pyecharts/pyecharts/blob/master/changelog.md)
|
||||
* 关注 [changelog.md](https://github.com/pyecharts/pyecharts/blob/master/changelog.md)
|
||||
@ -1,21 +0,0 @@
|
||||
> FAQ 篇：本文档主要介绍一些常见问题及解决方案
|
||||
|
||||
### Q:克隆项目到本地后 template/js 文件夹为空，没有 js 文件？
|
||||
|
||||
A: 请按照 README.md 中介绍的，使用 `git clone --recursive https://github.com/chenjiandongx/pyecharts.git`。因为 template/js 实际上是一个 git submodule，不递归克隆的话会遗漏该模块的内容。
|
||||
|
||||
### Q:pyecharts 是否支持 jupyterlab?
|
||||
|
||||
A: 暂不支持。 jupyterlab应该是下一代 jupyter notebook 的雏形。欢迎大家提交相关 PR。
|
||||
|
||||
### Q:怎么设置 echarts 主题？
|
||||
|
||||
A: 主题功能暂时不支持。
|
||||
|
||||
### Q:如何设置 tooltip 的 formatter 选项为回调函数？
|
||||
|
||||
A: 目前暂时无法支持。因为暂无法将 python 函数通过 json 转换对应的 js 函数。
|
||||
|
||||
### Q:为什么安装后还是无法 import Bar,Line 等图形
|
||||
|
||||
A:请检查是否将测试文件命名为 pyecharts.py，如若是请重命名该文件。
|
||||
36
docs/zh-cn/donors.md
Normal file
36
docs/zh-cn/donors.md
Normal file
@ -0,0 +1,36 @@
|
||||
## 赞助者名单
|
||||
|
||||
> 感谢大家对 pyecharts 项目的慷慨捐赠！下面是名单，排名不分先后！
|
||||
|
||||
* https://github.com/liuhui9312
|
||||
* https://github.com/sssdjj
|
||||
* https://github.com/rubinliudongpo
|
||||
* https://github.com/xixihhhhh
|
||||
* https://github.com/levylll
|
||||
* https://github.com/AlexanderLiuzm
|
||||
* https://github.com/ywq111
|
||||
* https://github.com/jihu9
|
||||
* https://github.com/zhangyudong0215
|
||||
* https://github.com/terrylim1986
|
||||
* https://github.com/Zurzark
|
||||
* https://github.com/sunhailin-Leo
|
||||
* https://github.com/pythoninessence
|
||||
* https://github.com/yueguangguang
|
||||
* https://github.com/rovedream
|
||||
* https://github.com/dhlic
|
||||
* https://github.com/hust100
|
||||
* https://github.com/babybear1992
|
||||
* https://github.com/giserpan
|
||||
* https://github.com/Andor-Z
|
||||
* https://github.com/virgilliu
|
||||
* https://github.com/VencentCheung
|
||||
* https://github.com/zhangyi7456
|
||||
* https://github.com/Kunwuwu
|
||||
* https://github.com/landidu
|
||||
* https://github.com/tonychenxinyue
|
||||
* https://github.com/danyubaoqi
|
||||
* https://github.com/Rayww
|
||||
* https://github.com/Koooooo-7
|
||||
* https://github.com/morgengu
|
||||
* https://github.com/cmcc11
|
||||
|
||||
64
docs/zh-cn/faq.md
Normal file
64
docs/zh-cn/faq.md
Normal file
@ -0,0 +1,64 @@
|
||||
> FAQ 篇：本文档主要介绍一些常见问题及解决方案
|
||||
|
||||
**Q:jupyter 绘画大量图后，图表无法显示，并提示 temporarily stop sending output ？**
|
||||
|
||||
A:jupyter-notebook console output 具体提示信息如下：
|
||||
|
||||
```
|
||||
IOPub data rate exceeded.
|
||||
The notebook server will temporarily stop sending output
|
||||
to the client in order to avoid crashing it.
|
||||
To change this limit, set the config variable
|
||||
`--NotebookApp.iopub_data_rate_limit`.
|
||||
```
|
||||
|
||||
根据以上的提示，需要修改找到配置文件（通常为 jupyter_notebook_config.py），并修改 iopub_data_rate_limit 为更大的数值。
|
||||
|
||||
```
|
||||
## (bytes/sec) Maximum rate at which messages can be sent on iopub before they
|
||||
# are limited.
|
||||
c.NotebookApp.iopub_data_rate_limit = 10000000
|
||||
```
|
||||
|
||||
**Q:在 Jupyter Notebook 使用 download-as 导出 ipynb/png/pdf 等文件后，图表无法显示？**
|
||||
|
||||
A:由于使用 download-as 后，便脱离了 Jupyter Notebook 的环境，无法引用其内的相关 js 文件，因此应当使用在线模式，引用来自 [jupyter-echarts](https://github.com/pyecharts/jupyter-echarts) 或其他有效的远程 js 库。
|
||||
|
||||
```python
|
||||
from pyecharts import online
|
||||
|
||||
online()
|
||||
```
|
||||
|
||||
**Q:克隆项目到本地后 template/js 文件夹为空，没有 js 文件？**
|
||||
|
||||
A: pyecharts 项目使用了 submodule 特性，template/js 引用了另一个仓库的代码。
|
||||
|
||||
这时应当使用下面的命令更新 submodule 模块内容。
|
||||
|
||||
```
|
||||
git submodule update
|
||||
```
|
||||
|
||||
或者删除原有代码后，使用 `git clone --recursive https://github.com/pyecharts/pyecharts.git` 重新克隆代码。
|
||||
|
||||
**Q:pyecharts 是否支持 jupyterlab?**
|
||||
|
||||
A: 暂不支持。 jupyterlab 应该是下一代 jupyter notebook 的雏形。欢迎大家提交相关 PR。
|
||||
|
||||
**Q:怎么设置 echarts 主题？**
|
||||
|
||||
A: 主题功能暂时不支持。
|
||||
|
||||
**Q:如何设置 tooltip 的 formatter 选项为回调函数？**
|
||||
|
||||
A: 目前暂时无法支持。因为暂无法将 python 函数通过 json 转换对应的 js 函数。
|
||||
|
||||
**Q:为什么安装后还是无法 import Bar,Line 等图形**
|
||||
|
||||
A:请检查是否将测试文件命名为 pyecharts.py，如若是请重命名该文件。
|
||||
|
||||
**Q:使用 pyinstaller 的单文件模式打包后无法加载 js 等静态文件？**
|
||||
|
||||
A:目前 pyecharts 暂时未开放这部分的API，没有考虑到打包后的资源文件路径的兼容问题。建议使用文件夹/多文件模式。
|
||||
如果确实需要使用单文件模式，可参考 [《Python打包工具》](https://kinegratii.github.io/2016/04/23/python-package/) 这篇文章了解相关原理后进行源码修改。
|
||||
@ -15,6 +15,7 @@ polar.render()
|
||||
```
|
||||
|
||||
|
||||
|
||||
用极坐标系画出一朵小花
|
||||
```python
|
||||
import math
|
||||
@ -43,8 +44,8 @@ for i in range(361):
|
||||
r = math.sin(2 * t) * math.cos(2 * t)
|
||||
data.append([r, i])
|
||||
polar = Polar("极坐标系示例", width=1200, height=600)
|
||||
polar.add("Color-Flower", data, start_angle=0, symbol=None, axis_range=[0, None],
|
||||
area_color="#f71f24", area_opacity=0.6)
|
||||
polar.add("Color-Flower", data, start_angle=0, symbol=None,
|
||||
axis_range=[0, None], area_color="#f71f24", area_opacity=0.6)
|
||||
polar.render()
|
||||
```
|
||||
|
||||
@ -99,9 +100,9 @@ for i in range(5):
|
||||
r = math.pow(math.e, 0.003 * alpha)
|
||||
data.append([r, theta])
|
||||
polar = Polar("极坐标系示例")
|
||||
polar.add("", data, symbol_size=0, symbol='circle', start_angle=-25, is_radiusaxis_show=False,
|
||||
area_color="#f3c5b3", area_opacity=0.5, is_angleaxis_show=False)
|
||||
polar.add("", data, symbol_size=0, symbol='circle', start_angle=-25,
|
||||
is_radiusaxis_show=False, area_color="#f3c5b3",
|
||||
area_opacity=0.5, is_angleaxis_show=False)
|
||||
polar.render()
|
||||
```
|
||||
|
||||
|
||||
61
docs/zh-cn/jupyter_notebook.md
Normal file
61
docs/zh-cn/jupyter_notebook.md
Normal file
@ -0,0 +1,61 @@
|
||||
# pyecharts 文档 - Jupyter Notebook
|
||||
|
||||
## 概述
|
||||
|
||||
pyecharts 支持在 Jupyter Notebook 环境中显示渲染图表以及导出其他形式的文件。
|
||||
|
||||
## 安装
|
||||
|
||||
在使用以下的命令安装 pyecharts ，如果系统检查有 Jupyter Notebook 环境，将默认的 echarts.min 等文件自动安装到 Jupyter notebook 插件/扩展；否则将跳过这一步骤。
|
||||
|
||||
```shell
|
||||
pip install pyecharts
|
||||
```
|
||||
|
||||
在之后的开发中也可以使用下列的命令自行安装。
|
||||
|
||||
```shell
|
||||
$ git clone https://github.com/pyecharts/jupyter-echarts.git
|
||||
$ cd jupyter-echarts
|
||||
$ jupyter nbextension install echarts --user
|
||||
```
|
||||
|
||||
无论使用何种方式，均可通过以下的命令测试是否安装成功。
|
||||
|
||||
```shell
|
||||
$ jupyter nbextension list
|
||||
Known nbextensions:
|
||||
config dir: /Users/jaska/.jupyter/nbconfig
|
||||
notebook section
|
||||
echarts/main enabled
|
||||
- Validating: OK
|
||||
```
|
||||
|
||||
|
||||
|
||||
## 显示图表
|
||||
|
||||
在 Cell 中，可以直接调用实例本身实例来显示图表，目前所有的类已经实现了 [IPython Rich Display](http://ipython.readthedocs.io/en/stable/config/integrating.html#rich-display) 的 `_repr_html_` 方法。
|
||||
|
||||
|
||||
|
||||
## 导出功能
|
||||
|
||||
可以使用 Notebook 默认的 "download as" 导出其他形式的文件，比如 ipynb或者图片。
|
||||
|
||||
**重要** ：由于导出后的文件脱离了原有 Jupyter Notebook 环境，为了能够完整的显示图表，应当使用远程 jshost 库。
|
||||
|
||||
```python
|
||||
from pyecharts import online
|
||||
|
||||
online(host='https://my-site.com')
|
||||
```
|
||||
|
||||
## 示例
|
||||
|
||||
参见 [pyecharts示例](https://github.com/pyecharts/pyecharts-users-cases) 。
|
||||
|
||||
## jupyterlab
|
||||
|
||||
[jupyterlab](https://github.com/jupyterlab/jupyterlab) 是下一代 Jupyter Notebook ，目前尚处于发展的雏形之中。我们将进一步关注项目发展，尽可能第一时间实现 pyecharts 的适配，敬请期待。
|
||||
|
||||
@ -94,7 +94,7 @@ online()
|
||||
...
|
||||
```
|
||||
|
||||
这样，所有的脚本会从 http://pyecharts.github.io/jupyter-echarts/echarts 下载。如果你连不上 Github, 你可以先把 https://github.com/pyecharts/jupyter-echarts 克隆一下。然后在你自己的服务器上，把整个 echarts 挂上去。
|
||||
这样，所有的脚本会从 https://pyecharts.github.io/jupyter-echarts/echarts 下载。如果你连不上 Github, 你可以先把 https://github.com/pyecharts/jupyter-echarts 克隆一下。然后在你自己的服务器上，把整个 echarts 挂上去。
|
||||
|
||||
下面我简单示范一下
|
||||
|
||||
4
docs/zh-cn/release-note/README.md
Normal file
4
docs/zh-cn/release-note/README.md
Normal file
@ -0,0 +1,4 @@
|
||||
# 版本日志
|
||||
|
||||
- [v0.4.0](zh-cn/release-note/v040)
|
||||
- [v0.3.0](zh-cn/release-note/v030)
|
||||
2
docs/zh-cn/release-note/_sidebar.md
Normal file
2
docs/zh-cn/release-note/_sidebar.md
Normal file
@ -0,0 +1,2 @@
|
||||
- [v0.4.0](zh-cn/release-note/v040)
|
||||
- [v0.3.0](zh-cn/release-note/v030)
|
||||
@ -124,8 +124,3 @@ pyecharts 已经开放内部的 jinja2 模板引擎相关接口，因此从理
|
||||
- 移除 `pyecharts.template.JINJA2_EVN` 对象。
|
||||
- 移除 `pyecharts.constants.CONFIGURATION` 。
|
||||
|
||||
|
||||
|
||||
|
||||
- 在 Django 框架中使用 jinja2 https://docs.djangoproject.com/en/1.11/topics/templates/#django.template.backends.jinja2.Jinja2
|
||||
- 在 Flask 使用自定义模板引擎 http://flask.pocoo.org/docs/0.12/api/#flask.Flask.jinja_environment
|
||||
17
docs/zh-cn/release-note/v040.md
Normal file
17
docs/zh-cn/release-note/v040.md
Normal file
@ -0,0 +1,17 @@
|
||||
# pyecharts V0.4.0 发布日志
|
||||
|
||||
pyecharts V0.4.0 发布，这是一个重大更新的版本。
|
||||
|
||||
## 1 echarts 升级到 4.0，支持 svg 渲染方式
|
||||
|
||||
## 2 全面重构地图加载，支持自定义地图库
|
||||
|
||||
## 3 新增 pyecharts_cli 命令行工具
|
||||
|
||||
## 4 优化图表 API
|
||||
|
||||
## 5 恢复 online 函数的使用
|
||||
|
||||
## 6 jshost 不再支持图表对象级别设置
|
||||
|
||||
## 7 修正若干个 bug
|
||||
27
docs/zh-cn/team.md
Normal file
27
docs/zh-cn/team.md
Normal file
@ -0,0 +1,27 @@
|
||||
# 作者
|
||||
|
||||
## 开发团队
|
||||
|
||||
主页： https://github.com/pyecharts
|
||||
|
||||
| 头像 | 用户 | 角色 |
|
||||
| ------ | ------ | ------ |
|
||||
|  | [chenjiandongx](https://github.com/chenjiandongx) | Owner |
|
||||
| <img src="https://avatars2.githubusercontent.com/u/4280312?s=60&v=4" width="60px"/> |[chfw](https://github.com/chfw) | Member |
|
||||
|  | [kinegratii](https://github.com/kinegratii) | Member |
|
||||
|
||||
## 贡献者
|
||||
|
||||
> 感谢以下童鞋的贡献！
|
||||
|
||||
| 头像 | 用户 |
|
||||
| ------ | ------ |
|
||||
| <img src="https://avatars2.githubusercontent.com/u/7701324?s=60&v=4" alt="landpack" width="60px"/> | [landpack](https://github.com/landpack) |
|
||||
| <img src="https://avatars0.githubusercontent.com/u/5152516?s=60&v=4" alt="muxuezi" width="60px"/> | [muxuezi](https://github.com/muxuezi) |
|
||||
| <img src="https://avatars1.githubusercontent.com/u/15723603?s=60&v=4" alt="647-coder" width="60px"/> | [647-coder](https://github.com/647-coder) |
|
||||
| <img src="https://avatars0.githubusercontent.com/u/3361029?s=60&v=4" alt="sd8089730" width="60px"/> | [sd8089730](https://github.com/sd8089730) |
|
||||
| <img src="https://avatars0.githubusercontent.com/u/30370926?s=60&v=4" alt="MiracleXYZ" width="60px"/> | [MiracleXYZ](https://github.com/MiracleXYZ) |
|
||||
| <img src="https://avatars0.githubusercontent.com/u/17876968?s=60&v=4" alt="mowujilun" width="60px"/> | [mowujilun](https://github.com/mowujilun) |
|
||||
| <img src="https://avatars1.githubusercontent.com/u/30023826?s=60&v=4" alt="xbanke" width="60px"/> | [xbanke](https://github.com/xbanke) |
|
||||
| <img src="https://avatars2.githubusercontent.com/u/15907728?s=60&v=4" alt="shkey" width="60px"/> | [shkey](https://github.com/shkey) |
|
||||
| <img src="https://avatars1.githubusercontent.com/u/1425636?s=60&v=4" alt="crispgm" width="60px"/> | [crispgm](https://github.com/crispgm) |
|
||||
2
make.bat
Normal file
2
make.bat
Normal file
@ -0,0 +1,2 @@
|
||||
cd test
|
||||
nosetests --with-coverage --cover-package pyecharts --cover-package test && cd .. && flake8 --exclude docs --builtins=unicode,xrange,long
|
||||
@ -18,6 +18,7 @@ class Line(Chart):
|
||||
|
||||
def __add(self, name, x_axis, y_axis,
|
||||
is_symbol_show=True,
|
||||
symbol_size=4,
|
||||
is_smooth=False,
|
||||
is_stack=False,
|
||||
is_step=False,
|
||||
@ -62,6 +63,7 @@ class Line(Chart):
|
||||
"type": "line",
|
||||
"name": name,
|
||||
"symbol": chart['symbol'],
|
||||
"symbolSize": symbol_size,
|
||||
"smooth": is_smooth,
|
||||
"step": is_step,
|
||||
"stack": is_stack,
|
||||
|
||||
@ -32,13 +32,12 @@ def test_line_user_define_markpoint():
|
||||
def test_line_user_define_marks():
|
||||
line = Line("折线图示例")
|
||||
line.add("商家A", CLOTHES, clothes_v1,
|
||||
mark_point=["average", "max", "min"],
|
||||
mark_point=["average", "max", "min"], symbol_size=50,
|
||||
mark_point_symbol='diamond', mark_point_textcolor='#40ff27')
|
||||
line.add("商家B", CLOTHES, clothes_v2,
|
||||
mark_point=["average", "max", "min"],
|
||||
mark_point_symbol='arrow', mark_point_symbolsize=40)
|
||||
line.show_config()
|
||||
line.render()
|
||||
assert '"symbolSize":50' not in line._repr_html_()
|
||||
|
||||
|
||||
def test_line_negative_value():
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user