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 required for plotting the map:
- Load the temperature file to be used for plotting the map as follows:
netCDF_temp = Dataset('temperature_annual_1deg.nc')
- Extract the longitude and latitude coordinates, and the corresponding temperature in Celsius, for all the points to be plotted on the map:
lat = netCDF_temp.variables['lat'][:]lon = netCDF_temp.variables['lon'][:]temp = netCDF_temp.variables['t_an'][0,0,:,:]
- Add cyclic points to temperature and longitude to remove the white vertical line, which otherwise shows up on the plot:
temp_cyc, lon_cyc = add_cyclic_point(temp, coord=lon)
- Define the figure and axes with the Robinson projection:
plt.figure(figsize=(12,6))ax = plt.subplot(111, projection=ccrs.Robinson()) ...
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