I am trying to analyze some german accounting data. I don't know if it's only a german thing but many companies in Germany have more than 12 month per fiscal year.
In my case i have a column for year and for "month" where the range in this column is 1-15.
Does anyone have some advice for me how to handle this properly in pandas for a timeseries analysis? I can't convert it to datetime for obvious reasons.
Edit: It's complicated when i want to make a bar chart of some values based on year and month. For normal datetime i see no problem. For this special thing I would combine year and period as a string and use it for plotting.
I was just wondering if there is a better solution or if pandas ist aware of this speciality.