设置具有双y轴的绘图的纵横比

Question

我想设置一个具有双y轴的图的长宽比，但是到目前为止仍处于figsize级别，有人可以使用更多axes实现的其他方法来帮助实现吗？就像使用set_sapect或plt.gca(subplot_kw={'adjustable':'datalim','aspect':'equal'})一样，只需开始使用Python学习可视化。下面是一个玩具样本。如果答案还附带我和其他初学者的说明，以了解其内幕内容，那就太好了。

import pandas as pd
import numpy as np
import matplotlib
import matplotlib.pyplot as plt; plt.rcdefaults()

# data preparation
np.random.seed(0)
df = pd.DataFrame(np.random.randint(0,200,size=(100, 2)), columns=['col_1','col_2'])
df['group_l1'] = ['A']*50 + ['B']*50
df['group_l2'] = ['x']*25 + ['y']*25 +   ['x']*25 + ['y']*25

# naive benchmark plot
fig, ax = plt.subplots()
ax.plot(df['col_1'])
plt.show()

# ~ 1, single plot
# ~~ 2） two series of data (dual y axis)
fig, ax = plt.subplots()

ax.plot(df.loc[df['group_l1'].isin(['A'])]['col_1'])
ax.set_aspect(1) 

ax2 = ax.twinx()
ax2.plot(df.loc[df['group_l1'].isin(['A'])]['col_2'],'r')
ax2.set_aspect(1) 

plt.show()

# this won't work anymore, why? maybe because the two y-axis have different limits so python will get confused to set 
# a single ratio of two different y units to the same x unit

# a simple workaround in this case
fig, ax = plt.subplots(figsize=(5,5)) # or any other ratio you want.

ax.plot(df.loc[df['group_l1'].isin(['A'])]['col_1'])

ax2 = ax.twinx()
ax2.plot(df.loc[df['group_l1'].isin(['A'])]['col_2'],'r')

plt.show()