Pandas column values to columns?

Question

I\'ve seen a few variations on the theme of exploding a column/series into multiple columns of a Pandas dataframe, but I\'ve been trying to do something and not really succe

Answer 1

There are a few ways:

using .pivot_table:

>>> df.pivot_table(values='val', index=df.index, columns='key', aggfunc='first')
key      bar     baz      foo
id                           
2    bananas  apples  oranges
3      kiwis     NaN   grapes

using .pivot:

>>> df.pivot(index=df.index, columns='key')['val']
key      bar     baz      foo
id                           
2    bananas  apples  oranges
3      kiwis     NaN   grapes

using .groupby followed by .unstack:

>>> df.reset_index().groupby(['id', 'key'])['val'].aggregate('first').unstack()
key      bar     baz      foo
id                           
2    bananas  apples  oranges
3      kiwis     NaN   grapes