Plotting gridded data with cartopy using NorthPolarStereo. Ask Question Asked 10 months ago. Active 10 months ago. Viewed 113 times 0. I'm moving from Basemap to Cartopy and want to plot data for the Arctic Ocean that covers the pole. I've decided to use the NorthPolarStereo() projection and am happy to use either pcolormesh or contourf. ...
Cartopy makes use of the powerful PROJ.4, numpy and shapely libraries and includes a programatic interface built on top of Matplotlib for the creation of publication quality maps.
Plotting maps with cartopy and iris. Here are some notes for making maps using cartopy and iris. As with many things, it's easy to make simple maps, ... Plotting gridded data . This is where iris comes in. So, starting again, let's get set up, and load some data : # -*- coding: utf-8 -*-
Cartopy is a diverse map library. Allowing for various projections and coordinate systems, it supports a wide range of possible use cases from ecological tracking to business intelligence. Its integration with Matplotlib, however, stands out as an incredible data analysis tool.
Thanks to the simplicity of the cartopy interface, in many cases the hardest part of producing such visualisations is getting hold of the data in the first place. To address this, a Python package, Iris, has been created to make loading and saving data from a variety of gridded datasets easier. Some of the following examples make use of the ...
In this tutorial, we are going to introduce one more python map plotting library named cartopy . Canopy is a map plotting library in python which is based on matplotlib for plotting. It uses PROJ.4, numpy and shapely for handling data conversions between cartographic projection and handling shape files. Cartopy can be very useful to generate a ...
Cartopy also handles Shapely objects well, but it uses a different system for CRS. To plot this data with CartoPy , we'll first need to project it into a new CRS. We'll use a CRS defined within CartoPy and use the GeoPandas to_crs method to make the transformation.
Plot Data This is the interesting part. Here the steps are varied depending on what kind of datais being plotted. Cartopy contains several helper functions for plotting different kinds of data , and they all are attributesof the GeoAxesobject.
To recap, we can't use my standard PlateCarree map projection, because in dealing with population density, we want an Equal-Area projection. The Australian Bureau of Statistics (ABS) used Albers_Conic_Equal_Area for their data grid.. To show the difference, I plot the world in Plate Carree, then get the ABS TGeoTIFF file, extract and print the projection details, and plot the world in that ...
From the Cartopy Documentation The core concept is that the projection of your axes is independent of the coordinate system your data is defined in. The projection argument is used when creating plots and determines the projection of the resulting plot (i.e. what the plot looks like).