seaborn/matplotlib: showing different tick ranges in one plot-CodePudding

I created a Boxplot like this:

f, ax = plt.subplots(figsize=(15,7))
sns.despine(bottom=True, left=True)

sns.boxplot(x=x)
ax.set(xlim=(0, 120))
ax.grid(linestyle='-', axis="x")
ax.xaxis.set_major_locator(ticker.MultipleLocator(24))
ax.set_axisbelow(True)
plt.show()

Which look like this:

Like i already marked in the Picture, i want a different xtick range for a specific part in the graph. So until the value of 24 the ticker should be ticker.MultipleLocator(8) and then it should continue with ticker.MultipleLocator(24).

CodePudding user response：

Since multiple locators cannot be mixed, there is a way to create and combine scales for each.

import matplotlib.pyplot as plt
import seaborn as sns
import numpy as np

tips = sns.load_dataset("tips")
fig, ax = plt.subplots(figsize=(15,7))
sns.despine(bottom=True, left=True)

g = sns.boxplot(x=tips['total_bill'])
ax.set(xlim=(0, 120))
ax.grid(linestyle='-', axis="x")

tickA = np.arange(0,24,8)
tickB = np.arange(24,120,24)
new_ticks = np.concatenate([tickA, tickB])
ax.set_xticks(new_ticks)

ax.set_axisbelow(True)

plt.show()