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[经验总结] python 相关绘图库总结

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发表于 2018-1-13 16:15:08 | 显示全部楼层 |阅读模式

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本帖最后由 chongzika 于 2018-1-20 16:15 编辑

相关绘图库(备忘):

  • Basemap: Toolkit     module for making geographic basemaps :
  • bokeh: From the website: “Bokeh is a Python     interactive visualization library for large datasets that natively uses     the latest web technologies. Its goal is to provide elegant, concise     construction of novel graphics in the style of Protovis/D3, while delivering     high-performance interactivity over large data to thin clients.”
  • Cartopy: “A library providing cartographic tools for     python.”
  • Ccplot : is an open source command-line program for plotting profile, layer and earth view data sets from CloudSat, CALIPSO and Aqua MODIS products.
  • Chaco: 2-D graphing for static as well as  interactive plots.
  • ChartDirector: Charting for desktops and web  applications. License requires purchase.
  • DISLIN: Scientific data plotting.
  • D3py : is a thin Python wrapper for D3.js.
  • Freeseer: An application, written in  Python, used for recording   conference presentations and other streaming video.
  • gmt: Python package for     making Generic Mapping Tools (GMT) plots.
  • GracePlot: A line plot     plotting package designed for interactive sessions.
  • Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising meteorological and oceanographic data sets.
  • MayaVi: Scripted and     interactive 3-D plotting.
  • MkMov: Make a movie from a netCDF file with a single command.
  • Mplleafletis a Python library that converts a matplotlib plot into a webpage containing a pannable, zoomable Leaflet map.
  • ParaView: Analysis and visualization package for     very large datasets.
  • Plotly: “Plotly is a     complete suite of data visualization and collaboration tools for engineers     and data scientists.”
  • pv_atmos: “Python scripting for scientific     visualization software ParaView. Applied to atmospheric netCDF data.”
  • PyNGL: Python NCAR Graphics Library package.配合PyNIO
  • PyWPS is a WPS implementation written in the Python language. The current version is  4.0.0.
  • pyWRF  is designed to read, process, and plot data from the Weather Research and Forecasting model.
  • Seaborn: “Seaborn is a Python     visualization library based on matplotlib. It provides a high-level     interface for drawing attractive statistical graphics.”
  • VAPOR: “Visualization and Analysis Platform for     Ocean, Atmosphere, and Solar Researchers.” An interactive 3-D     visualization tool with Python integration.
  • VisAD: McIDAS-V is built on VisAD. While  VisAD is written in Java, Python accessibility is provided via Jython.
  • VisTrails: Visualization  tool that provides workflow management that tracks the provenance of the     visualization and data.
  • VPython: Easy-to-use 3-D visualization and     animation environment.
  • WxMAP2: Create weather maps from numerical     weather prediction models. Based on GrADS.
  • WRF-python A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.
参考:PYAOS EARTHPY

tool.txt

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发表于 2018-1-13 16:18:19 | 显示全部楼层
我也写了一个
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 楼主| 发表于 2018-1-15 16:29:28 | 显示全部楼层
欢迎大家来补充
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发表于 2018-1-18 09:45:41 | 显示全部楼层
谢谢楼主分享
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发表于 2018-1-18 09:51:09 | 显示全部楼层
不错,挺全的,可惜我这机器怎么就启动不了python
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新浪微博达人勋

发表于 2018-10-23 13:15:05 | 显示全部楼层
顶一个,很齐全~~~~只是不知道plotly如何绘制气象中带有地图投影的等值线、风流场、斜纹图等图片
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发表于 2019-7-5 15:54:45 | 显示全部楼层
谢谢楼主分享
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