pyecharts | 🎨 Python Echarts Plotting Library | Chart library

by pyecharts Python Version: 2.0.5 License: MIT

X-Ray Key Features Code Snippets(4)Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pyecharts Summary

pyecharts is a Python library typically used in User Interface, Chart applications. pyecharts has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install pyecharts' or download it from GitHub, PyPI.

🎨 Python Echarts Plotting Library

Support

Quality

Security

License

Reuse

Support

pyecharts has a medium active ecosystem.

It has 13622 star(s) with 2788 fork(s). There are 381 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 5 open issues and 1727 have been closed. On average issues are closed in 10 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyecharts is 2.0.5

Quality

pyecharts has 0 bugs and 0 code smells.

Security

pyecharts has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyecharts code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyecharts is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pyecharts releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

pyecharts saves you 4334 person hours of effort in developing the same functionality from scratch.

It has 9193 lines of code, 454 functions and 127 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyecharts and discovered the below as its top functions. This is intended to give you an instant insight into pyecharts implemented functionality, and help decide if they suit your requirements.

Add a series
Encode image to base64
Create mask image variable
Add javascript functions
Add y axis to plot
Append color to options
Add a new schema
Add a new chart to the chart
Add a new tree item
Set collapsed interval
Add data to chart
Add a schema to the plot
Add a data pair
Add a chart to the chart
Add yaxis legend
Add y axis to chart
Add a new edge to the graph
Add a series to the chart
Add a legend
Set global options
Add a new node to the graph
Add a schema
Add a y axis to the chart
Add y axis
Add a tree item
Add a y axis

Get all kandi verified functions for this library.

pyecharts Key Features

No Key Features are available at this moment for pyecharts.

pyecharts Examples and Code Snippets

Flask 中使用 pyecharts,定时增量更新图表

HTML

Lines of Code : 104

License : No License

Copy




    
    Awesome-pyecharts
    
    



    
    



from random import randrange

from flask.json import jsonify
from flask import Flask, render_template

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


app = Flask(__nam

Step 4: 编写 flask 和 pyecharts 代码渲染图表

HTML

Lines of Code : 39

License : No License

Copy

sunhailindeMacBook-Pro:pyecharts_flask sunhailin$ tree -L 1
.
├── app.py
└── templates

from random import randrange

from flask import Flask, render_template

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


app = Flask(__nam

Flask 中使用 pyecharts,Flask 模板渲染,Step 2: 渲染图表

HTML

Lines of Code : 37

License : No License

Copy

chenjiandongx@DESKTOP-E83NUHA:/mnt/d/Python/pyecharts-flask-demo$ tree -L 1
.
├── server.py
└── templates

from flask import Flask
from jinja2 import Markup, Environment, FileSystemLoader
from pyecharts.globals import CurrentConfig

# 关于 CurrentConfi

pandas dataframe convert to xyz data to use for pyecharts

Python

Lines of Code : 12

License : Strong Copyleft (CC BY-SA 4.0)

Copy

df['y'] = 0

data = df[['Date', 'y', 'School1']].values.tolist()

print(data)

[['2021/3/1', 0, 853], ['2021/3/2', 0, 165], ['2021/3/3', 0, 469], ['2021/3/4', 0, 857], ['2021/3/5', 0, 326], ['2021/3/6', 0, 802], ['2

Community Discussions

Trending Discussions on pyecharts

pandas dataframe convert to xyz data to use for pyecharts

ModuleNotFoundError: No module named 'pyecharts'

QUESTION

pandas dataframe convert to xyz data to use for pyecharts

Asked 2021-May-03 at 10:21

I'm tring to use pyecharts to draw a 3D-BARS diagram, the data structure like as follows came from a csv file.

...

ANSWER

Answered 2021-May-03 at 09:39

According to bar3d(), data is represented by a two-dimension array. For school1, I think you can do something like

Source https://stackoverflow.com/questions/67363944

QUESTION

ModuleNotFoundError: No module named 'pyecharts'

Asked 2020-Oct-21 at 21:12

I do not understand while running the example code from pyecharts, it is still giving me module not found error.

ModuleNotFoundError Traceback (most recent call last) in ----> 1 from pyecharts.charts import Bar 2 from pyecharts import options as opts 3 4 bar = ( 5 Bar()

ModuleNotFoundError: No module named 'pyecharts'

...

ANSWER

Answered 2020-Oct-21 at 20:39

Did you tried to install missing library? https://pypi.org/project/pyecharts/

Source https://stackoverflow.com/questions/64471373

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyecharts

You can install using 'pip install pyecharts' or download it from GitHub, PyPI.
You can use pyecharts like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: