Group dataframe and get sum AND count?

Question

I have a dataframe that looks like this:

              Company Name              Organisation Name  Amount
10118  Vifor Pharma UK Ltd  Welsh Assoc for Gastro         


        

Answer 1

If you have lots of columns and only one is different you could do:

In[1]: grouper = df.groupby('Company Name')
In[2]: res = grouper.count()
In[3]: res['Amount'] = grouper.Amount.sum()
In[4]: res
Out[4]:
                      Organisation Name   Amount
Company Name                                   
Vifor Pharma UK Ltd                  5  4207.93

Note you can then rename the Organisation Name column as you wish.