python可视化库可以大致分为几类：

基于matplotlib的可视化库基于JS的可视化库基于上述两者或其他组合功能的库

Artist的属性

alpha : 透明度，值在0到1之间，0为完全透明，1为完全不透明 animated : 布尔值，在绘制动画效果时使用 axes : 此Artist对象所在的Axes对象，可能为None clip_box : 对象的裁剪框 clip_on : 是否裁剪 clip_path : 裁剪的路径 contains : 判断指定点是否在对象上的函数 figure : 所在的Figure对象，可能为None label : 文本标签 picker : 控制Artist对象选取 transform : 控制偏移旋转 visible : 是否可见 zorder : 控制绘图顺序

速查

python-graph-gallery

unidata Examples of GEMPAK Analysis and Display Capabilities

国内首款-数据可视化参考手册：专业绘图必备

Visualising CMIP data

oceanpython

domain : plot-wrf-domains-in-google-earth

PyEarthScience

earthpy seaborn PyNGL CATEGORY Basemap

MatplotlibClass

sea-py

总结

Getting Started with Sphinx-Gallery

A-D

altair : Declarative statistical visualization library for Python

Basemap earthquake earth

Bokeh is an interactive visualization library that targets modern web browsers for presentation.一个用于做浏览器端交互可视化的库，实现分析师与数据的交互。[^Interactive] ipynb

bqplot is a Grammar of Graphics-based interactive plotting framework for the Jupyter notebook

cartopy cartopy-tutorial jupyter climate06

ccplot: CloudSat, CALIPSO and Aqua MODIS products[^SAT]

CDAT is a powerful and complete front-end to a rich set of visual-data exploration and analysis capabilities well suited for data analysis problems.[^3D]

cis : modis [^SAT]

CHIMPLOT [^MODEL]

D3Py :a plottling library for python, based on D3

datamaps : Customizable SVG map visualizations for the web in a single Javascript file using D3.js [^MAP]

E-H

Echarts : BaiDu [^Interactive]

folium ipynb ipynb2[^MAP]

The Flight Path Tool (FPT) is a comprehensive, interactive, geographical display that brings together all of the weather products available on ADDS. It runs as a desktop application on your computer for maximum performance. [^java]

Geoplotlib is a python toolbox for visualizing geographical data and making maps[^MAP]

ggplot

gmap : is a plugin for Jupyter for embedding Google Maps in your notebooks. It is designed as a data visualization tool.[^MAP]

gmtpython

gmplotPlotting data on google maps, the easy (stupid) way.[^MAP]

geopandas [^MAP]

Highcharts makes it easy for developers to set up interactive charts in their web pages [^Interactive]

I-L

igraph

iris

M-O

Mayavi : 3D scientific data visualization and plotting in Python[^3D]

matplot官方教學

mapbox[^MAP]

Metpy[^MODEL]

MkMov : make a movie from a NetCDF file or stitch together a series of *.png files. [^MODEL]

mplleaflet [^MAP] SHOW

networkx

P

plotly官方教学[^Interactive] ipynb

pyecharts是基于百度echarts的一个开源项目，也是我目前接触到的最容易实现交互可视化的工具，相比bokeh和plotly，pyecharts的语法更简单，实现效果更佳出众。

pygal : sexy python charting

pyqtgraph

paraview pv_atmos for paraview Cloud-resolving simulation over Germany using ICON HighRes

**plotnine

PyNGL NCL [^MODEL]

PyNCplot for WRF trajectory [^MODEL]

PyWPS is a WPS implementation written in the Python language. The current version is 4.0.0.

pyWRFis designed to read, process, and plot data from the Weather Research and Forecasting model. [^MODEL]

PyGEOMET : Python GUI of Earth Observations and Model Evaluation Toolkit like ncview

Q-S

seaborn官方教学 SatPy

T-V

VisPy is a high-performance interactive 2D/3D data visualization library leveraging the computational power of modern Graphics Processing Units (GPUs) through the OpenGL library to display very large datasets.

vincent no more updates

VPython: Easy-to-use 3-D visualization and animation environment[^3D]

Vapor-python guide[^3D]

W-Z

WRF-Python [^MODEL] Xarray [^MODEL] —-

others

常用绘图、图片处理、截图工具

Color

ColormapTransformations —- [^MAP]: 地图可视化 [^Interactive]: 交互式 [^3D]: 3D [^SAT]: SATELLITE [^MODEL]: MODEL 模式 [^java]: by java —-

output

save-multiple-plots-to-one-pdf-file

'''
Save multiple plots to one pdf file¶
Many image file formats can only have one image per file, but some formats support multi-page files. Currently only the pdf backend has support for this. To make a multi-page pdf file, first initialize the file:
'''
from matplotlib.backends.backend_pdf import PdfPages
pp = PdfPages('multipage.pdf')
#You can give the PdfPages object to savefig(), but you have to specify the format:

plt.savefig(pp, format='pdf')
#An easier way is to call PdfPages.savefig:

pp.savefig()
#Finally, the multipage pdf object has to be closed:

pp.close()