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Author: yvonnefroehlich

examples/gallery/maps/choropleth_map.py

@@ -19,14 +19,14 @@
 
 provider = "https://naciscdn.org/naturalearth"
 world = gpd.read_file(f"{provider}/50m/cultural/ne_50m_admin_0_countries.zip")
+
+# The dataset contains different attributes, here we focus on the population within
+# the different countries (column "POP_EST").
 world["POP_EST"] *= 1e-6
 
 fig = pygmt.Figure()
 fig.basemap(region=[-19.5, 53, -37.5, 38], projection="M15c", frame="+n")
 
-# The dataset contains different attributes, here we focus on the population within
-# the different countries (column "POP_EST").
-
 # First, we define the colormap to fill the polygons based on the "POP_EST" column.
 pygmt.makecpt(cmap="acton", series=(0, 100), reverse=True)