Pivot a pandas DataFrame to be the correct format: `DataError: No numeric types to aggregate`

Question

Here is a pandas DataFrame I would like to manipulate:

import pandas as pd

data = {\"grouping\": [\"item1\", \"item1\", \"item1\", \"item2\", \"item2\", \"         


        

Answer 1

Try:

In [1]: import pandas as pd
   ...: 
   ...: data = {"grouping": ["item1", "item1", "item1", "item2", "item2", "item2", "item2"],
   ...:         "labels": ["A", "B", "C", "A", "B", "C", "D"],
   ...:         "count": [5, 1, 8, 3, 731, 189, 9]}
   ...: 
In [2]: df = pd.DataFrame(data)
In [3]: df.pivot_table(index="grouping",columns="labels")

Out[3]: 
             count              
    labels       A    B    C   D
    grouping                    
    item1        5    1    8 NaN
    item2        3  731  189   9