October 2018
Beginner to intermediate
676 pages
18h 30m
English
Content preview from Matplotlib 3.0 Cookbook
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How to do it...
The following are the steps involved in plotting our map:
- Define the figure and axes with a PlateCarree projection:
plt.figure(figsize=(12, 6))ax = plt.axes(projection=ccrs.PlateCarree())
- Set the background image and coastlines as follows:
ax.stock_img()ax.coastlines()
- Download the required shapefile from the Natural Earth data website:
shp_fn = shpreader.natural_earth(resolution='10m', category='cultural', name='populated_places')
- Get specific coordinates for each of the locations, as shown here:
xy = [pt.coords[0] for pt in shpreader.Reader(shp_fn).geometries()]
- Unzip the coordinates using the following command:
x, y = zip(*xy)
- Plots these points using a scatter plot:
ax.scatter(x,y, transform=ccrs.Geodetic()) ...
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