Pandas: Group by Single Column Entries So have this table above. I'm trying to aggregate the occupations such that the table results in:

I've tried using df.groupby(['Occupation']) but I get an error.
All I know is that my final step would be to set the index to &quot;Occupation&quot;. But I still don't know how to group via entries in the single Occupation column here.
Also, what type of table would the final table be name/called?
I know it's not called a mutiindex table because there is only one index that the results are being grouped by.
Your issue might occur if you didn't tell that the second row in the table should also be considered a header line.
To address this, try to reset the header at the beginning.
import pandas as pd

df = pd.read_csv('YOUR/FILE/DIRECOTRY.csv', skiprows=1) // ignore the 2nd row (0-indexed)
df.rename(columns={0:'Index'}, inplace=True) // optional
df.groupby(['Occupation'])