How to divide Dataframes to list of Dataframes based on values in columns, but without changing any structures

Asked Aug 07 '19 at 13:09

Active Aug 07 '19 at 14:47

Viewed 40 times

I saw a few similar question but I didn't find a case like this. It is my first time using pandas DataFrame.

I have DataFrame:

    A    B    C
0   0    1    2
1   0    1    3
2   0    2    4
3   1    1    4
4   1    1    3

and i would like to divide this Data Frame into list of DataFrames based on columns A and B, so I would like to have a 3 three DataFrames in result, like this:

    A    B    C
0   0    1    2
1   0    1    3

    A    B    C
2   0    2    4

    A    B    C
3   1    1    4
4   1    1    3

Could you write me how to do it please(with explanation)?

edited Aug 07 '19 at 14:47

Zophai

asked Aug 07 '19 at 13:09

Janek Podwysocki

what have you tried so far? what's the logic for splitting your dataframe like that? – Yuca Aug 07 '19 at 13:11
1

Use `d = dict(tuple(df.groupby(['A','B'])))` – jezrael Aug 07 '19 at 13:11
Please check solution and if still some problem, let me know. – jezrael Aug 07 '19 at 13:15
thx, this is what i was looking for – Janek Podwysocki Aug 07 '19 at 14:48

How to divide Dataframes to list of Dataframes based on values in columns, but without changing any structures

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