Unpivot in pandas using a column that have mutiple value columns

Question

So i have a dataframe frame like this

index	type_of_product	dt_of_product	value_of_product	size_of_product
1	A	01/02/22	23.1	1
1	B	01/03/22	23.2	2
1	C	01/04/22	23.3	2

And i need to unpivot the colum type_of_product with the values of dt_of_product, value_of_product and size_of_product

I tryed to use
pd.pivot(df, index = "index", column = "type_of_product", values = ["dt_of_product","value_of_product","size_of_product"]

and want to get this desire output

index	A_dt_of_product	B_dt_of_product	C_dt_of_product	A_value_of_product	B_value_of_product	C_value_of_product	A_size_of_product	B_size_of_product	C_size_of_product
1	01/02/22	01/03/22	01/04/22	23.1	23.2	23.3	1	2	2

Is there a way to do this in pandas with one pivot or do i have to do 3 pivots and merges all on them?

Asked By: Gabriel Padilha

||

Source

Answer 1

Try:

df = (
    df.set_index(["index", "type_of_product"])
    .unstack(level=1)
    .swaplevel(axis=1)
)
df.columns = map("_".join, df.columns)
print(df.reset_index().to_markdown(index=False))

Prints:

index	A_dt_of_product	B_dt_of_product	C_dt_of_product	A_value_of_product	B_value_of_product	C_value_of_product	A_size_of_product	B_size_of_product	C_size_of_product
1	01/02/22	01/03/22	01/04/22	23.1	23.2	23.3	1	2	2

Answered By: Andrej Kesely

Answer 2

You could try set_index with unstack

s = df.set_index(['index','type_of_product']).unstack().sort_index(level=1,axis=1)
s.columns = s.columns.map('{0[1]}_{0[0]}'.format)
s
Out[30]: 
      A_dt_of_product  A_size_of_product  ...  C_size_of_product C_value_of_product
index                                     ...                                      
1            01/02/22                  1  ...                  2               23.3
[1 rows x 9 columns]

Answered By: BENY

Answer 3

You can do:

df = df.pivot(index='index', 
              values=['dt_of_product', 'value_of_product', 'size_of_product'], 
              columns = ['type_of_product'])
df.columns = df.columns.swaplevel(0).map('_'.join)

Answered By: SomeDude

Unpivot in pandas using a column that have mutiple value columns

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