多直方图上的 Python 更改轴

Question

I have a pandas dataframe df for which I plot a multi-histogram as follow :

df.hist(bins=20)

This give me a result that look like this (Yes this exemple is ugly since there is only one data per histogram, sorry) :

I have a subplot for each numerical column of my dataframe.

Now I want all my histograms to have an X-axis between 0 and 1. I saw that the hist() function take a ax parameter, but I cannot manage to make it work. How is it possible to do that ?

EDIT :

Here is a minmal example :

import pandas as pd
import matplotlib.pyplot as plt

myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]

myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']

df = pd.DataFrame(myArray,columns=myColumns)

print(df)
df.hist(bins=20)

plt.show()

Answer 1

Here is a solution that works, but for sure is not ideal:

import pandas as pd
import matplotlib.pyplot as plt

myArray = [(0,0,0,0,0.5,0,0,0,1),(0,0,0,0,0.5,0,0,0,1)]

myColumns = ['col1','col2','col3','co4','col5','col6','col7','col8','col9']

df = pd.DataFrame(myArray,columns=myColumns)

print(df)
ax = df.hist(bins=20)
for x in ax:
    for y in x:
        y.set_xlim(0,1)

plt.show()