I have to create a plot on which ticks
and labels
are specifically defined; an example of reproducible plot is given below:
import matplotlib.pyplot as plt
import seaborn as sns
plt.style.use('seaborn-v0_8')
fig, ax = plt.subplots(figsize=(4, 4))
ticks = [0.00, 0.25, 0.50, 0.75, 1.00]
ax.set_xticks(ticks)
ax.set_xticklabels(ticks, weight='bold', size=8)
ax.set_yticks(ticks)
ax.set_yticklabels(ticks, weight='bold', size=8)
plt.show()
As ticks
and labels
are exactly the same of both axes, is there a way to set them as a single command ? Something mixing both xticks
and yticks
?
You can use a function.
import matplotlib.pyplot as plt
plt.style.use('seaborn-v0_8')
def set_ticks_and_labels(ax, t, **kwargs):
ax.set_xticks(t)
ax.set_xticklabels(t, **kwargs)
ax.set_yticks(t)
ax.set_yticklabels(t, **kwargs)
fig, ax = plt.subplots(figsize=(4, 4))
ticks = [0.00, 0.25, 0.50, 0.75, 1.00]
set_ticks_and_labels(ax, ticks, weight='bold', size=8)
plt.show()