python - Pandas Dataframe - find sums in column B across each label in column A -

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We say that we have the following data: 

  ... col1 col2 col3 I want to use Python Panda to find duplicate entries (in column 1) and add them on column 2 basis. .  
 In Python I will do something like:  
  l = [('A', 1), ('A', 2), ('B', 3 )] D: [i [0]] = i [1] and: d [i [0]] = d [i [i [i] 0]]] + I [1] print (d)  
 
 then the result will be: 
 
  {'A': 3, 'B': 3 }  
 
 What is the purpose of using pandals to do the same thing?

Use: 

  in [2]: import pandas In [2]: df = pandas.DataFrame ({"col1": ["a", "a", "b"], "cola 2": [1,2,3]}) [3]: df .groupby ("col1") Sum () out [3]: col2 in Col1 a 3 b 3 [4]: ​​df .groupby ("col1"). Sum () Reset_index () Out [4]: ​​col1 col2 one 3 1b3 [2 row x 2 column]

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