Just came across a minor annoyance in the ax.eventplot() API. Currently if you pass color= this overrides the colors= kwarg, and instead of setting a single color for each row of event markers, it has the effect of setting a repeating color sequence for the markers within every row.

Hopefully this example illustrates what I'm talking about:

import numpy as np
from matplotlib import pyplot as plt

np.random.seed(0)
data1 = np.random.random([20])
data2 = np.random.random([10])
data = [data1, data2]

fig, (ax1, ax2) = plt.subplots(1, 2, sharex=True, sharey=True)

# expected
ax1.eventplot(data, colors=['r', 'b'])

# 'color' overrides 'colors'
ax2.eventplot(data, colors=['r', 'b'], color=['c', 'm'])

plt.show()

It took me an embarrassingly long time to figure out that I needed to pass colors rather than color in order to set the color for each row.