Python: Set interval step of x-Axis dates

Question

I have a.csv file of data of following form

Date	Company 1	Company 2	...	Company n
01.01.2021	100	20	...	123
02.01.2021	50	1	...	455
...	...	...	...	...
8.11.2021	20	23	...	122

My aim is to choose company x in a Combobox and finally plot it as a graph with

• x-axis = Date

and

• y-axis the values of company x in the column of the.csv-file

In the first step I've a problem with the scale of the x-axis values. My aim is a monthly stepwide but with the code:

import pandas as pd
import matplotlib.pyplot as plt    

df = pd.read_csv('file.csv')
df.set_index('Date')

ax = plt.plot(df['Date'], df['Company 1'])
#ax.xaxis.set_major_locator(mdates.MonthLocator(interval=1))
plt.show()

I get the result The x-values overwrite eachother!

I've tried some solution here but the additional line:

ax.xaxis.set_major_locator(mdates.MonthLocator(interval=1)) 

gives me the following error:

AttributeError: 'list' object has no attribute 'xaxis' 

Answer 1

Try this

df = pd.read_csv('file.csv',) 
names = ['Company 1']
features = df[names]
features.index = df['Date']
axs = features.plot(subplots=True)
cursor = MultiCursor(axs[1].get_figure().canvas, axs)
plt.show()