A plot to visualise the score for a Tweet with various properties in loklak's PriorityKaizen harvester

priority_kaizen_score.py

import numpy
from matplotlib import pyplot
from mpl_toolkits.mplot3d import Axes3D
from matplotlib import cm

x = numpy.arange(0, 30, 0.1)
y = numpy.arange(0, 30, 0.1)

x, y = numpy.meshgrid(x, y)

z = x * 5 + y

Z = z / (z + 10 * numpy.exp(-0.01 * z))

plot = pyplot.figure()
ax = Axes3D(plot)

surf = ax.plot_surface(x, y, Z, cmap=cm.coolwarm)
ax.set_xlabel("Retweets")
ax.set_ylabel("Favourites")
ax.set_zlabel("Score")
ax.set_title("Score vs. Retweets and Favourites")
pyplot.show()