We can use rcParams["ytick.labelright"]
(default False) and rcParams["ytick.right"]
(default False) and rcParams["ytick.labelleft"]
(default True) and rcParams["ytick.left"]
(default True) to control where on the axes ticks and their labels appear.
These properties can also be set in the .matplotlib/matplotlibrc
.
import matplotlib.pyplot as plt
import numpy as np
plt.rcParams['ytick.right'] = plt.rcParams['ytick.labelright'] = True
plt.rcParams['ytick.left'] = plt.rcParams['ytick.labelleft'] = False
x = np.arange(10)
fig, (ax0, ax1) = plt.subplots(2, 1, sharex=True, figsize=(6, 6))
ax0.plot(x)
ax0.yaxis.tick_left()
# use default parameter in rcParams, not calling tick_right()
ax1.plot(x)
plt.show()