May 10, 2023 · I am trying to create a map overview using cartopy, but for some reason cannot figure out how to plot the names of the countries shown on the map. My function looks like this: # Define the latitude and longitude ranges for the Southwest Indian Ocean basin. lat_range = [-40, 0] lon_range = [-340, -260]

Using python3 and cartopy, having this code: import matplotlib.pyplot as plt import cartopy import cartopy.io.shapereader as shpreader import cartopy.crs as ccrs ax = plt.axes(projection=ccrs.

The first approach was to load the shapefile in using cartopy.feature and plot it, which can be seen in the following code snippet. This worked as expected, and plotted every road line contained within the shapefile: Second Approach | Plot Specific Attribute.

Apr 25, 2021 · In order to display shapefile data in Cartopy, we can first use the cartopy.io.shapereader package to read the shape data and then convert the geometry we want to display to a cartopy.feature.ShapelyFeature.

These examples demonstrate how to quickly add longitude and latitude gridlines and tick labels on a non-rectangular projection. As you can see on the first example, longitude labels may be drawn on left and right sides, and latitude labels may be drawn on bottom and top sides.

To setup a Cartopy plot we’ll need to create a matplotlib figure and add a subplot to it. Cartopy also requires us to specify a map projection, for this example we’ll use the PlateCarree projection.

Nov 22, 2019 · In this tutorial you will learn how to use Cartopy to: Plot GFS surface temperature data on a map; Mask out land surfaces to plot a map of sea surface temperature and ice-cover from the GFS; Plot a regional map of surface temperature with US states; Use the transform function to plot GFS data on a different map projection

Dec 26, 2023 · I have a map I have made using python, matplotlib, cartopy and shapely. It has a coast, county borders, lakes and rivers. I also shade in districts, in the form of polygons, on the map in order to present data on it. I export it as an svg file.

To label a country with Python Cartopy, you’ll need to follow these steps: import cartopy.crs as ccrs. import cartopy.feature as cfeature. In this example, we use ax.text to place a label at longitude -119 and latitude 47, which corresponds to a location within the United States.

Jan 8, 2014 · Using basemap I used to add my custom boundary shapefile like this: map = Basemap (..) map.readshapefile (file.shp, 'attribute', drawbounds=True) How can I do the same using cartopy? I tried this: ...