How to split a DataFrame on each different value in a column?

Question

Below is an example DataFrame.

      0      1     2     3          4
0   0.0  13.00  4.50  30.0   0.0,13.0
1   0.0  13.00  4.75  30.0   0.0,13.0
2   0.0  13.00           


        

Answer 1

I will use GroupBy.__iter__:

d = dict(df.groupby(df['0'].diff().ne(0).cumsum()).__iter__())
#d = dict(df.groupby(df[0].diff().ne(0).cumsum()).__iter__())

---

Note that if there are repeated non-consecutive values ​​different groups will be created, if you only use groupby(0) they will be grouped in the same group