From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson

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Mapping

Mapping - Python Tutorial

From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson

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Mapping

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Very often, we have to display and use data that is geolocated for which essentially we have actual physical locations, either in the form of latitudes and longitudes, or just geographical references like city names, states, countries, etc. There are various ways of doing this and different applications for which these things are useful. So we're going to look at specific examples now. One of the simplest versions of this is a heat map. So this corresponds essentially to data that is stored as a numerical matrix, so just rows and columns as usual, but with the peculiarity that each cell in this matrix essentially corresponds to an actual specific latitude and longitude. So you can think of these essentially laying a grid on the ground, and then each cell of this grid essentially corresponds to a value corresponding to that specific location. For each value of this matrix gets displayed as a color according to some color range, some color bar definitions. So here we have an example. In…

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