🎨 Python Echarts Plotting Library

Overview

pyecharts logo

pyecharts

Python ❤️ ECharts = pyecharts

Travis Build Status Appveyor Build Status Codecov Package version PyPI - Python Version

PyPI - Format Contributions welcome License

English README

📣 简介

Apache ECharts (incubating) 是一个由百度开源的数据可视化,凭借着良好的交互性,精巧的图表设计,得到了众多开发者的认可。而 Python 是一门富有表达力的语言,很适合用于数据处理。当数据分析遇上数据可视化时,pyecharts 诞生了。

特性

  • 简洁的 API 设计,使用如丝滑般流畅,支持链式调用
  • 囊括了 30+ 种常见图表,应有尽有
  • 支持主流 Notebook 环境,Jupyter Notebook 和 JupyterLab
  • 可轻松集成至 Flask,Sanic,Django 等主流 Web 框架
  • 高度灵活的配置项,可轻松搭配出精美的图表
  • 详细的文档和示例,帮助开发者更快的上手项目
  • 多达 400+ 地图文件,并且支持原生百度地图,为地理数据可视化提供强有力的支持

版本

v0.5.x 和 V1 间不兼容,V1 是一个全新的版本,详见 ISSUE#892ISSUE#1033

V0.5.x

支持 Python2.7,3.4+

经开发团队决定,0.5.x 版本将不再进行维护,0.5.x 版本代码位于 05x 分支,文档位于 05x-docs.pyecharts.org

V1

仅支持 Python3.6+

新版本系列将从 v1.0.0 开始,文档位于 pyecharts.org;示例位于 gallery.pyecharts.org

🔰 安装

pip 安装

# 安装 v1 以上版本
$ pip install pyecharts -U

# 如果需要安装 0.5.11 版本的开发者,可以使用
# pip install pyecharts==0.5.11

源码安装

# 安装 v1 以上版本
$ git clone https://github.com/pyecharts/pyecharts.git
# 如果需要安装 0.5.11 版本,请使用 git clone https://github.com/pyecharts/pyecharts.git -b v05x
$ cd pyecharts
$ pip install -r requirements.txt
$ python setup.py install

📝 使用

本地环境

生成 HTML

from pyecharts.charts import Bar
from pyecharts import options as opts

# V1 版本开始支持链式调用
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()

# 不习惯链式调用的开发者依旧可以单独调用方法
bar = Bar()
bar.add_xaxis(["衬衫", "毛衣", "领带", "裤子", "风衣", "高跟鞋", "袜子"])
bar.add_yaxis("商家A", [114, 55, 27, 101, 125, 27, 105])
bar.add_yaxis("商家B", [57, 134, 137, 129, 145, 60, 49])
bar.set_global_opts(title_opts=opts.TitleOpts(title="某商场销售情况"))
bar.render()

生成图片

from snapshot_selenium import snapshot as driver

from pyecharts import options as opts
from pyecharts.charts import Bar
from pyecharts.render import make_snapshot


def bar_chart() -> Bar:
    c = (
        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])
        .reversal_axis()
        .set_series_opts(label_opts=opts.LabelOpts(position="right"))
        .set_global_opts(title_opts=opts.TitleOpts(title="Bar-测试渲染图片"))
    )
    return c

# 需要安装 snapshot-selenium 或者 snapshot-phantomjs
make_snapshot(driver, bar_chart().render(), "bar.png")

Notebook 环境

Jupyter Notebook

JupyterLab

Web 框架

🔖 Demo

Demo 代码位于 example 文件夹下,欢迎参考 pyecharts 画廊 pyecharts-gallery

bar boxplot effectScatter funnel gague geo geo graph heatmap kline line liquid map bmap parallel pie ploar radar scatter tree treemap wordCloud bar3D line3D sankey scatter3D surface3D themeRiver sunburst overlap grid grid timeline

更多详细文档,请访问

代码质量

单元测试

$ pip install -r test/requirements.txt
$ make

集成测试

使用 Travis CIAppVeyor 持续集成环境。

代码规范

使用 flake8, Codecov 以及 pylint 提升代码质量。

😉 Author

pyecharts 主要由以下几位开发者开发维护

更多贡献者信息可以访问 pyecharts/graphs/contributors

💌 捐赠

开发和维护 pyecharts 花费了我巨大的心力,如果你觉得项目帮助到您,请认真考虑请作者喝一杯咖啡 😄

微信二维码 支付宝二维码
wechat-code alipay-code

如果其他开发者帮助到了您,也可以请他们喝咖啡 捐赠通道

💡 贡献

期待能有更多的开发者参与到 pyecharts 的开发中来,我们会保证尽快 Reivew PR 并且及时回复。但提交 PR 请确保

  1. 通过所有单元测试,如若是新功能,请为其新增单元测试
  2. 遵守开发规范,使用 black 以及 isort 格式化代码($ pip install -r requirements-dev.txt)
  3. 如若需要,请更新相对应的文档

我们也非常欢迎开发者能为 pyecharts 提供更多的示例,共同来完善文档,文档项目位于 pyecharts/website

📃 License

MIT ©chenjiandongx

Owner
pyecharts
pyecharts dev team
pyecharts
Interactive Data Visualization in the browser, from Python

Bokeh is an interactive visualization library for modern web browsers. It provides elegant, concise construction of versatile graphics, and affords hi

Bokeh 17.1k Dec 31, 2022
Colormaps for astronomers

cmastro: colormaps for astronomers 🔭 This package contains custom colormaps that have been used in various astronomical applications, similar to cmoc

Adrian Price-Whelan 12 Oct 11, 2022
Visualizations for machine learning datasets

Introduction The facets project contains two visualizations for understanding and analyzing machine learning datasets: Facets Overview and Facets Dive

PAIR code 7.1k Jan 07, 2023
A Python wrapper of Neighbor Retrieval Visualizer (NeRV)

PyNeRV A Python wrapper of the dimensionality reduction algorithm Neighbor Retrieval Visualizer (NeRV) Compile Set up the paths in Makefile then make.

2 Aug 29, 2021
paintable GitHub contribute table

githeart paintable github contribute table how to use: Functions key color select 1,2,3,4,5 clear c drawing mode mode on turn off e print paint matrix

Bahadır Araz 27 Nov 24, 2022
An intuitive library to add plotting functionality to scikit-learn objects.

Welcome to Scikit-plot Single line functions for detailed visualizations The quickest and easiest way to go from analysis... ...to this. Scikit-plot i

Reiichiro Nakano 2.3k Dec 31, 2022
High performance, editable, stylable datagrids in jupyter and jupyterlab

An ipywidgets wrapper of regular-table for Jupyter. Examples Two Billion Rows Notebook Click Events Notebook Edit Events Notebook Styling Notebook Pan

J.P. Morgan Chase 75 Dec 15, 2022
Create a table with row explanations, column headers, using matplotlib

Create a table with row explanations, column headers, using matplotlib. Intended usage was a small table containing a custom heatmap.

4 Aug 14, 2022
HW 02 for CS40 - matplotlib practice

HW 02 for CS40 - matplotlib practice project instructions https://github.com/mikeizbicki/cmc-csci040/tree/2021fall/hw_02 Drake Lyric Analysis Bar Char

13 Oct 27, 2021
A simple code for plotting figure, colorbar, and cropping with python

Python Plotting Tools This repository provides a python code to generate figures (e.g., curves and barcharts) that can be used in the paper to show th

Guanying Chen 134 Jan 02, 2023
An open-source tool for visual and modular block programing in python

PyFlow PyFlow is an open-source tool for modular visual programing in python ! Although for now the tool is in Beta and features are coming in bit by

1.1k Jan 06, 2023
Data Visualizer Web-Application

Viz-It Data Visualizer Web-Application If I ask you where most of the data wrangler looses their time ? It is Data Overview and EDA. Presenting "Viz-I

Sagnik Roy 17 Nov 20, 2022
By default, networkx has problems with drawing self-loops in graphs.

By default, networkx has problems with drawing self-loops in graphs. It makes it hard to draw a graph with self-loops or to make a nicely looking chord diagram. This repository provides some code to

Vladimir Shitov 5 Jan 06, 2022
Plot, scatter plots and histograms in the terminal using braille dots

Plot, scatter plots and histograms in the terminal using braille dots, with (almost) no dependancies. Plot with color or make complex figures - similar to a very small sibling to matplotlib. Or use t

Tammo Ippen 207 Dec 30, 2022
Realtime Web Apps and Dashboards for Python and R

H2O Wave Realtime Web Apps and Dashboards for Python and R New! R Language API Build and control Wave dashboards using R! New! Easily integrate AI/ML

H2O.ai 3.4k Jan 06, 2023
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

100 pandas puzzles Puzzles notebook Solutions notebook Inspired by 100 Numpy exerises, here are 100* short puzzles for testing your knowledge of panda

Alex Riley 1.9k Jan 08, 2023
A Jupyter - Leaflet.js bridge

ipyleaflet A Jupyter / Leaflet bridge enabling interactive maps in the Jupyter notebook. Usage Selecting a basemap for a leaflet map: Loading a geojso

Jupyter Widgets 1.3k Dec 27, 2022
Some problems of SSLC ( High School ) before outputs and after outputs

Some problems of SSLC ( High School ) before outputs and after outputs 1] A Python program and its output (output1) while running the program is given

Fayas Noushad 3 Dec 01, 2021
Functions for easily making publication-quality figures with matplotlib.

Data-viz utils 📈 Functions for data visualization in matplotlib 📚 API Can be installed using pip install dvu and then imported with import dvu. You

Chandan Singh 16 Sep 15, 2022
Python script to generate a visualization of various sorting algorithms, image or video.

sorting_algo_visualizer Python script to generate a visualization of various sorting algorithms, image or video.

146 Nov 12, 2022