I'm struggling to make do some data wrangling on a pandas dataframe. I've been stuck on this problem for 2 days now.
I've got a dataframe that looks like this:
['a','e']
['b','f']
['c','g']
['d','h']
['a','i']
['b','j']
['c','k']
['d','l']
And I need to turn it into looking like this
['a',['e','i']]
['b',['f','j']]
['c',['g','k']]
['d',['h','l']]
So basically pivoting the original dataframe around the first column and then creating a list of strings from the second column.
thanks
You could use groupy/agg
:
import pandas as pd
data = [['a','e'], ['b','f'], ['c','g'], ['d','h'], ['a','i'], ['b','j'],
['c','k'], ['d','l']]
df = pd.DataFrame(data, columns=['first', 'second'])
print(df.groupby(['first']).agg(lambda x: x.tolist()))
yields
second
first
a [e, i]
b [f, j]
c [g, k]
d [h, l]
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