How to group pandas dataframe rows by column value?
How do I group the rows of a pandas dataframe by column value?
Suppose we have a data frame called df:
A B C
1 1a 1b
1 1c 1d
1 1e 1f
2 2a 2b
2 2c 2d
3 3a 3b
3 3c 3d
I would like to use groupby to create the following:
1: {[1a, 1b],
[1c, 1d],
[1e, 1f]}
2: {[2a,2b],
[2c, 2d]}
3: {[3a,3b],
[3c. 3d]}
I understand .loc is an option. But this is super slow for an ultra-large dataset that I am working on. This is why I thought turning it into a dictionary of lists might be better.
Thank.
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