![]() LAKES feature - Adds big lakes of the world.We can change it's color and opacity as well. LAND feature - Adds land on top of world map.We can change a coastline color, style, etc. ![]() COASTLINE feature - Adds coastline around all continents.The list of features available through cartopy is available from the cartopy.feature module. We are then adding features by calling method add_feature() on-axis object passing it feature object available from the cartopy.feature module. 3.1 Adding Coastline, Land, Lakes, Borders, Ocean, Rivers and States Features to Map ¶īelow we are first creating a map with projection as Mercator. Till we only had added coastline features to our maps. We'll now explore further adding more futures to our map plots. We'll start by loading necessary libraries for our plotting purpose. We'll be using various datasets available from kaggle for our map examples. The main plus point of cartopy is its object-oriented projection system which lets us plot maps with points, lines polygons, etc using one projection and then can easily let us transfer it to another projection system.Īs a part of this tutorial, we'll explore the API of cartopy in order to generate various maps. If you want a high publication chart for your research paper and looking for plotting library with various projections available then cartopy is for you. Cartopy can be very useful to generate a high-quality static map chart that has high publication quality. It uses PROJ.4, numpy and shapely for handling data conversions between cartographic projection and handling shape files. Canopy is a map plotting library in python which is based on matplotlib for plotting. In this tutorial, we are going to introduce one more python map plotting library named cartopy. We have already covered tutorials on creating maps using geopandas, holoviews and bqplot. Python has a list of libraries (geopandas, bokeh, holoviews, plotly, bqplot, etc) which provides functionalities to plot different types of maps like scatter maps, choropleth map, bubble map, etc. For this purpose, we need a trustworthy and reliable plotting library that can be used for plotting maps from a different perspective. ![]() Many data analysis tasks nowadays involve working with geo spatial data and plot it on maps to get useful insights. Connection Map depicting Flights from Brazil to Other Countries Scatter Bubble Map depicting Starbucks Store Count Per US States Scatter Map of Starbucks Locations on Earth Using Latitude & Longitude Box to Show a Particular Area of Map
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