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

Use set_index and unstack:

df = df.set_index(['grouping','labels']).unstack().rename_axis(None)
df.columns = df.columns.droplevel()
print(df)

Output:

labels  A    B    C     D
item1   5    1    8  None
item2   3  731  189     9