Python相关绘图库

• 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.
  

• matplotlib: 2-D line, contour, and image plots.
  

• 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.