LambertConformal ( central_longitude = cLon, central_latitude = cLat ) # Second subplot ax2 = plt. latN = 70 latS = 30.2 lonW = - 10 lonE = 50 cLat = ( latN + latS ) / 2 cLon = ( lonW + lonE ) / 2 projLccEur = ccrs. set_title ( 'New York and Vicinity' ) # Set the domain for defining the second plot region.

subplot ( 2, 1, 1, projection = projLccNY ) ax. figure ( figsize = ( 30, 24 ) ) # Notice we need a bigger 'canvas' so these two maps will be of a decent size # First subplot ax = plt. set_title ( 'New York and Vicinity lower resolution' ) add_feature ( state_borders, linestyle = 'solid', edgecolor = 'black' ) ax. NaturalEarthFeature ( category = 'cultural', name = 'admin_1_states_provinces_lakes', scale = resolution, facecolor = 'none', ) ax. NaturalEarthFeature ( 'physical', 'lakes', scale = resolution, edgecolor = 'face', facecolor = cfeature. NaturalEarthFeature ( 'physical', 'ocean', scale = resolution, edgecolor = 'face', facecolor = cfeature. NaturalEarthFeature ( 'physical', 'land', scale = resolution, edgecolor = 'face', facecolor = cfeature. resolution = '110m' land_mask = cfeature. Lower resolution shapefiles (50m, 110m) can be # used by using the cfeature.NaturalEarthFeature method as illustrated below. set_extent (( lonW, lonE, latS, latN ), crs = projPC ) # The features with names such as cfeature.LAND, cfeature.OCEAN, are higher-resolution (10m) # shapefiles from the Naturalearth repository. subplot ( 1, 1, 1, projection = projLccNY ) ax. figure ( figsize = ( 15, 10 )) ax = plt. Installing and Managing Python with Condaįormatted Text in the Notebook with MarkdownĪnnotations, Colorbars, and Advanced Layoutsįig = plt.

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