It would be good to benchmark draw times for 1M scatterplot points in matplotlib. This equates to 250k LMA sources plotted in four panels, which is a high-end number for ten minutes of data from a thunderstorm.
Also benchmark manual colormapping via a subset of data into 256 equal chunks and then plotting with a 256 individual calls to plt.plot instead of plt.scatter.
It would be good to benchmark draw times for 1M scatterplot points in matplotlib. This equates to 250k LMA sources plotted in four panels, which is a high-end number for ten minutes of data from a thunderstorm.
Also benchmark manual colormapping via a subset of data into 256 equal chunks and then plotting with a 256 individual calls to
plt.plot
instead ofplt.scatter
.