Pandas - Reading different sets of data in 1 csv file

Question

My CSV File: (Between Monday, Tuesday and Wednesday are empty cell blocks)

Monday          Tuesday         Wednesday
Items   Price   Items   Price   Items   Price
Mon     1       Tues    1       Wed     1
Mon2    2       Tues2   2       Wed2    2

How can I read a specific table?

The outcome that I want:

df['Monday']
>>
Items   Price
Mon     1
Mon2    2

df['Tuesday']['Items'].values()
>>
['Tues', 'Tues2']

Is this possible?

Answer 1

If you are using.read_csv of pandas you can specify the column header

 #exemple file 2 lines of headers:
 df=pd.read_csv('filename', header=[0, 1])

Source: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html