根据单元格内容组合来自不同行的数据并基于单元格值创建新列 pandas 和 python

Question

I have data in csv file where in every row there's a name, a fruit and amount related to the fruit. What i want is to combine the data from different rows to a single row where all amounts for fruits related to a certain name is under one row.

I have trouble finding a proper way of reading all the data from the fruit column and converting those fruit values to individual rows.

Also the null values has to be converted to zero (but that might be quite easy to do).

I'm using python and pandas dataframe, but i'm quite new to coding and pandas so i'm not that familiar doing this.

So this an example of the data I have.

name, fruit,     amount
Mike, Banana,    2
Mike, Kiwi,      3
Anna, Apple,     10
Anna, Banana,    20
Anna, Pineapple, 40
Bert, Pineapple, 100

And this is the format i want it to be:

name, Banana, Kiwi, Apple, Pineapple
Mike, 2,      3,    0,     0
Anna, 20,     0,    10,    40
Bert, 0,      0,    0,     100

Answer 1

Try to use pivot table when you want to reshape a dataframe.

df.pivot(index='name', columns='fruit', values='amount')