Set erase to False to add lines without first removing any previously added lines. You may exclude some horizontal sections from filling using where. Typical examples are maps that show election results. You can download this data. I suspect this might be something to do with ffmpeg defaults.
Don't forget to share and follow! To map data values to colors we can take advantage of Matplotlib's. Also, make sure you , follow me on and add me on so that you don't miss out on any useful posts! Tagged with: python,, matplotlib,, animation,, and drawing. I will provide links to all the data I used in this visualisation, but by all means use your own and make a completely different map. To learn more, see our. If there is no data for a country it is colored in a light grey instead. Next for convenience we create a variable for the function Normalize which we then use when setting the PatchCollections facecolor. Note that this definition implies that an isolated True value between two False values in where will not result in filling.
You can do this with a PatchCollection, and set the colors according to the number of floors using a cmap. Hence it behaves the same as the with axes. This is not the behaviour with Agg. Unlike other properties such as linewidth and colors, hatching can only be specified for the collection as a whole, not separately for each member. You should now have a map looking a bit like this. Worse than I started with. On the other hand, the maximum number of floors is 100, so all buildings with a hundred floors would plot very dark, and between 0 and 100 the polygons would plot darker and darker as the number of floors increased.
This ended up giving me a final image size of 8. Then we create a Basemap instance setting the , that is used by the National Geographic Society for world maps. Note: You should already know how to work with Matplotlib. To get a list of country iso codes we can use the package as shown below. Add this suggestion to a batch that can be applied as a single commit. This suggestion is invalid because no changes were made to the code. Now we just need to define how the map is to be displayed and we have our basic map.
Only one suggestion per line can be applied in a batch. This list may include a heterogeneous assortment of different patch types. Such a polygon cannot describe the above semantics close to the intersection. If same letter repeats, it increases the density of hatching of that pattern. Must be subclassed to be usable.
They are displayed as v positions a sequence of numerical values or a 1D numpy array. If offsets and transOffset are not None, then offsets are transformed by transOffset and applied after the segments have been transformed to display coordinates. Applying suggestions on deleted lines is not supported. Obviously the area will be different if you chose a different place and the colours will vary too if you changed those. The options are crude, low, intermediate, high or full. The use of is optional. Returns: All other keyword arguments are passed on to.
As well a being the best Python package for drawing plots, also has impressive primitive drawing capablities. A quadrilateral mesh consists of a grid of vertices. If any of edgecolors, facecolors, linewidths, antialiaseds are None, they default to their matplotlib. The patch by looks good to me on a first read. Then we add another axis object for the map legend, placing it above that horizontal span, add the description of the map at the bottom and save the file.
It is also useful by itself for showing a colormap. Both of these except a tuple as you can be animating multiple different artists. It accepts a tuple of the bottom left hand corner, followed by a width and a height. There is one more thing that we should do however. Suggestions cannot be applied from pending reviews. It allows you to spot trends in areas and visually recognise groups in your data as well as being a fantastic method of communicating your results to people.
Since the World Bank dataset also lists regions that are not countries, like North America or Africa we want to filter out these non-country regions. Output I initially wanted to be able to export in two formats, one as an H. I'm not sure how to fix this yet, but I thought that might be illuminating. If any of edgecolors, facecolors, linewidths, antialiaseds are None, they default to their matplotlib. Add a colorbar, this makes it at lot easier to interpret the colours of the map and relate them to a number. We can do this using shapefiles.
First go to and you will be presented with a world map. The use of is optional. I downloaded the Admin 0 - Countries with lakes from and simplified it a bit with the following command: ogr2ogr -simplify. Without initialising off screen, blitting causes a bit of an artifact. But for now, a video is the best way.