64ba867342
* add support with google map(GMap) * add support with leaflet map(LMap); * fix blank * add api in class Base for echarts stats extension * support multiple calendar (#2414) * support multiple calendar * Fix PrettyTable class not expose parameters (#2416) * Fix/grid and table (#2419) fix grid chart_id not working and format table.py * update version to 2.0.9 * fix: issue#2421 (#2422) fix: issue#2421 * Fix grid index (#2426) fix some bugs in Grid component * 更新 MarkPointOpts、MarkPointItemOpts 以及 LabelOpts (#2427) * update README.md * [hotfix]fix page missing css_libs * fix workflows * fix workflows * update engine.py * FIX enable changing locale (#2442) * FIX enable changing locale * FIX add locale two more templates * FIX add tests and defaultLocale * FIX add tests and defaultLocale * FIX add locale render in HTML test --------- Co-authored-by: Feiko Ritsema <fritsema@netflix.com> * update line.py and update workflows * update python-app.yml --------- Co-authored-by: sunhailin <sunhailin@jtexpress.com> Co-authored-by: jiangyang <jiangyangcreate@gmail.com> Co-authored-by: GokoRuri <1249736473@qq.com> Co-authored-by: Feiko <feiko.ritsema@hotmail.com> Co-authored-by: Feiko Ritsema <fritsema@netflix.com>
pyecharts
Python ❤️ ECharts = pyecharts
📣 Introduction
Apache ECharts is easy-to-use, highly interactive and highly performant javascript visualization library under Apache license. Since its first public release in 2013, it now dominates over 74% of Chinese web front-end market. Yet Python is an expressive language and is loved by data science community. Combining the strength of both technologies, pyecharts is born.
✨ Feature highlights
- Simple API, Sleek and method chaining
- Support 30 + popular charts
- Support data science tools: Jupyter Notebook, JupyterLab, nteract, marimo
- Integrate with Flask，Django at ease
- Easy to use and highly configurable
- Detailed documentation and examples.
- More than 400+ geomaps assets for geograpic information processing
⏳ Version
v0.5.x is not compatible with V1, which is a completely new version, see ISSUE#892, ISSUE#1033. pyecharts/issues/1033).
V0.5.x
Support for Python 2.7, 3.4+
At the discretion of the development team, version 0.5.x will no longer be maintained. Version 0.5.x code is located in the 05x branch and documentation is located at 05x-docs.pyecharts.org.
V1
Python 3.7+ only
The new version series will start with v1.0.0, documented at pyecharts.org; examples at gallery.pyecharts.org
V2
Python 3.7+ only
The new version is based on Echarts 5.4.1+ for rendering, and the documentation and examples are in the same location as V1.
🔰 Installation
pip install
$ pip install pyecharts
Install from source
$ git clone https://github.com/pyecharts/pyecharts.git
$ cd pyecharts
$ pip install -r requirements.txt
$ python setup.py install
📝 Usage
Local computer
HTML
from pyecharts.charts import Bar
from pyecharts import options as opts
bar = (
Bar()
.add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
.add_yaxis("商家A", [114, 55, 27, 101, 125, 27, 105])
.add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49])
.set_global_opts(title_opts=opts.TitleOpts(title="某商场销售情况"))
)
bar.render()
image
from pyecharts.render import make_snapshot
# needs to configure selenium
make_snapshot(bar.render(), "bar.png")
Notebook
Jupyter Notebook
JupyterLab
Web framework
🔖 Demo
For more documentation, please visit
⛏ Software development
Unit tests
$ pip install -r test/requirements.txt
$ make
Team development
Travis CI and AppVeyor is place for continuous integration.
Coding styles
flake8, Codecov and pylint are used
😉 Author
pyecharts are co-maintained by:
For more contributors, please visit pyecharts/graphs/contributors
💌 Donation
To develop and maintain pyecharts, it took me a lot of overnights. If you think pyecharts has helped you, please consider buying me a coffee:
Please also buy the other maintainer a coffee if you think their work helped you too donation details
📃 License
MIT ©chenjiandongx