如何使用 Pandas (Python) 对行进行分组并对列中的数字求和

Question

Please help, I don't know how to code.

I want to group the Column name 'Measure type' into 4 types:

• Price
• Volume
• Protein
• Butterfat

And after that, I want to sum value in each column name: 'Price', 'Volume', 'Protein' and 'Butterfat'

In the last step, I want to remove the NaN value or maybe can replace NaN with 0?, I don't know please help.

please open the example image in the URL below.

Thank you

Example in URL

Answer 1

If you want to programme something, you should start learning it. This platform is made to help with certain problems. Every helper wants to see that you have at least tried it before asking. Then, but only then, you should ask.

Here's a little hint.

import pandas as pd

l = [[1, 2, 3,], [1, None, 4], [2, 1, 3], [1, 2, 2]]

df = pd.DataFrame(l, columns=["a", "b", "c"])

df.groupby(by=["a"], dropna=True).sum()

Output:

    b   c
a       
1   4.0 9
2   1.0 3