All Projects → apachecn → Matplotlib Doc Zh

apachecn / Matplotlib Doc Zh

Licence: other
📖 [译] Matplotlib 用户指南

Programming Languages

python
139335 projects - #7 most used programming language

Projects that are alternatives of or similar to Matplotlib Doc Zh

Edaviz
edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
Stars: ✭ 220 (+23.6%)
Mutual labels:  data-analysis, data-visualization, matplotlib
Python Novice Inflammation
Programming with Python
Stars: ✭ 199 (+11.8%)
Mutual labels:  data-analysis, data-visualization, matplotlib
Cmasher
Scientific colormaps for making accessible, informative and 'cmashing' plots
Stars: ✭ 149 (-16.29%)
Mutual labels:  data-visualization, matplotlib
Data Science Portfolio
A Portfolio of my Data Science Projects
Stars: ✭ 149 (-16.29%)
Mutual labels:  data-analysis, data-visualization
Sourced Ce
source{d} Community Edition (CE)
Stars: ✭ 153 (-14.04%)
Mutual labels:  data-analysis, data-visualization
Matplotplusplus
Matplot++: A C++ Graphics Library for Data Visualization 📊🗾
Stars: ✭ 2,433 (+1266.85%)
Mutual labels:  data-analysis, data-visualization
Data Analysis
主要是爬虫与数据分析项目总结,外加建模与机器学习,模型的评估。
Stars: ✭ 142 (-20.22%)
Mutual labels:  data-analysis, matplotlib
Dabestr
Data Analysis with Bootstrap Estimation in R
Stars: ✭ 169 (-5.06%)
Mutual labels:  data-analysis, data-visualization
Datasist
A Python library for easy data analysis, visualization, exploration and modeling
Stars: ✭ 123 (-30.9%)
Mutual labels:  data-analysis, data-visualization
Data Science Resources
👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (-3.93%)
Mutual labels:  data-analysis, data-visualization
Etl unicorn
数据可视化, 数据挖掘, 数据处理 ETL
Stars: ✭ 156 (-12.36%)
Mutual labels:  data-analysis, data-visualization
Visualize ml
Python package for consolidated and extensive Univariate,Bivariate Data Analysis and Visualization catering to both categorical and continuous datasets.
Stars: ✭ 160 (-10.11%)
Mutual labels:  data-analysis, matplotlib
Dtale Desktop
Build a data visualization dashboard with simple snippets of python code
Stars: ✭ 128 (-28.09%)
Mutual labels:  data-analysis, data-visualization
Awesome Scientific Python
A curated list of awesome scientific Python resources
Stars: ✭ 127 (-28.65%)
Mutual labels:  data-analysis, data-visualization
Aachartkit Swift
📈📊📱💻🖥️An elegant modern declarative data visualization chart framework for iOS, iPadOS and macOS. Extremely powerful, supports line, spline, area, areaspline, column, bar, pie, scatter, angular gauges, arearange, areasplinerange, columnrange, bubble, box plot, error bars, funnel, waterfall and polar chart types. 极其精美而又强大的跨平台数据可视化图表框架,支持柱状图、条形图、…
Stars: ✭ 1,962 (+1002.25%)
Mutual labels:  data-analysis, data-visualization
Data Science For Marketing Analytics
Achieve your marketing goals with the data analytics power of Python
Stars: ✭ 127 (-28.65%)
Mutual labels:  data-visualization, matplotlib
Ml Workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Stars: ✭ 2,337 (+1212.92%)
Mutual labels:  data-analysis, data-visualization
Countly Sdk Web
Countly Product Analytics SDK for websites and web applications
Stars: ✭ 165 (-7.3%)
Mutual labels:  data-analysis, data-visualization
Dat8
General Assembly's 2015 Data Science course in Washington, DC
Stars: ✭ 1,516 (+751.69%)
Mutual labels:  data-analysis, data-visualization
Pbpython
Code, Notebooks and Examples from Practical Business Python
Stars: ✭ 1,724 (+868.54%)
Mutual labels:  data-analysis, data-visualization

Matplotlib 用户指南

来源:User's Guide

译者:飞龙

协议:CC BY-NC-SA 4.0

下载

Docker

docker pull apachecn0/matplotlib-doc-zh
docker run -tid -p <port>:80 apachecn0/matplotlib-doc-zh
# 访问 http://localhost:{port} 查看文档

PYPI

pip install matplotlib-doc-zh
matplotlib-doc-zh <port>
# 访问 http://localhost:{port} 查看文档

NPM

npm install -g matplotlib-doc-zh
matplotlib-doc-zh <port>
# 访问 http://localhost:{port} 查看文档

赞助我

Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].