I've been visualising some data using the pyplot fill function, and whilst
overlapping polygons do mix their colours and allow for any overlaps to be
apparent, I thought that perhaps this would look much better in a heatmap
format to better show high levels of change in the same areas.
I've tested this using the histogram2d function in numpy using various
online examples, and whilst experiments with random data looked nice enough,
each set of results data is basically a series of 0's and 1's: In a heatmap
using the same code, this results in an incredibly long (since there's about
65000 results) heatmap that's only a pixel or two in height. Also, I can't
seem to use the tools to zoom in and navigate around this, which is pretty
much a requirement given the large number of data rows.
Does anyone know if there's a way to convert a series of polygon objects
into a decent looking heatmap? Any help is appreciated!
Get latest updates about Open Source Projects, Conferences and News.