I am trying to make a visualization with logarithmic ticks on all sides of the box.
import numpy as np
import matplotlib.pyplot as plt
x = np.logspace(2, 5, 5)
y = 0.5*x**(-1/2)
y2 = 0.01*x**(-1/2)
y3 = 0.05*x**(-1/3)
fig, ax = plt.subplots()
ax.plot(x, y, 'o-', label="One")
ax.plot(x, y2, '*-', label="Two")
ax.plot(x, y3, '--', label="Three")
ax.set(
xlabel='Input',
xlim=(1e2, 1e5),
xscale='log',
ylabel='Output',
ylim=(1e-5, 1e-1),
yscale='log',
)
ax.tick_params(top=True, right=True) # <-- This didn't work how I expected.
ax.legend(loc='lower left');
I would like the associated minor tick marks on the top and right spine.
Any advice on how to make that happen?
>Solution :
Use the which parameter of Axes.tick_params:
ax.tick_params(which='both', top=True, right=True)
Output:
