How to set log scale minor ticks on xaxis for all relplot subplots after using .set

Question

import pandas as pd
import seaborn as sns

tips = sns.load_dataset("tips")
tips['total_bill']=tips.total_bill*10**(tips.index/60+2)

sns.set(font_scale=2)
g=sns.relplot(data=tips,height=5, x="total_bill", y="tip", hue="day", col="time")
g.set(xscale='log')

According to different params (font_scale,height,etc), there might be some minor ticker for each 1/10 or not on the plt.

How to make sure all minor tickers for each 1/10 be shown in all subplots?

like this:

Answer 1

• Similar to this answer, except iterate through each axes.
• This answer explains that seaborn .set() turns the ticks off by default, uses its darkgrid style, which modifies the matplotlib rc parameters, and sets the xtick.bottom and ytick.left parameters to False, however the options in the answer do not resolve the issue.
• sns.set may be removed in future releases.
• Tested in python 3.10, pandas 1.4.2, matplotlib 3.5.1, seaborn 0.11.2

import matplotlib.ticker as mticker
import seaborn as sns
import numpy as np

sns.set(font_scale=2)
g = sns.relplot(data=tips, height=5, x="total_bill", y="tip", hue="day", col="time")
g.set(xscale='log')

# iterate through each axes
for ax in g.axes.flat:
    ax.grid(True, which="both", axis='x', ls="--")
    locmin = mticker.LogLocator(base=10, subs=np.arange(0.1,1,0.1), numticks=10)  
    ax.xaxis.set_minor_locator(locmin)

With sns.set(font_scale=2, style='ticks')

• See seaborn: Controlling figure aesthetics

sns.set(font_scale=2, style='ticks') # or sns.set_theme(...)
g = sns.relplot(data=tips, height=5, x="total_bill", y="tip", hue="day", col="time")
g.set(xscale='log')

for ax in g.axes.flat:
    locmin = mticker.LogLocator(base=10, subs=np.arange(0.1, 1, 0.1), numticks=10)  
    ax.xaxis.set_minor_locator(locmin)

Without Using .set