http://scitools.org.uk/iris/docs/latest/userguide/index.html
Iris seeks to provide a powerful, easy to use, and community-driven Python library for analysing and visualising #meteorological and #oceanographic data sets.
With Iris you can:
Use a single #API to work on your data, irrespective of its original format.
Read and write (CF-)netCDF, GRIB, and PP files.
Easily produce graphs and maps via integration with #matplotlib and #cartopy.
http://scitools.org.uk/cartopy/docs/latest/index.html
Cartopy is a Python package designed to make drawing maps for data analysis and visualisation as easy as possible.
#Cartopy makes use of the powerful #PROJ.4, #numpy and #shapely libraries and has a simple and intuitive drawing interface to #matplotlib for creating publication quality maps.
Some of the key features of cartopy are:
object oriented projection definitions
point, line, vector, polygon and image transformations between projections
integration to expose advanced mapping in matplotlib with a simple and intuitive interface
powerful vector data handling by integrating shapefile reading with Shapely capabilities