Bachir Bachir via Tutor wrote:
> Hi Peter Thank you much for your help its very appreciated ,bellow is an
> example of what i need. The main dataframe ( need to be separated into
> separate dataframes ). The desired dataframes output correctly as i need
> it to be,Thanks much Main dataframendx V_id Average Mean
> Peak 0 1 3 2 51
> 2 2 1 62 3
> 4 1 83 1 2
> 2 74 2 3 3
> 65 3 5 3 46
> 1 1 1 87 2
> 2 5 108 3 5
> 5 99 1 2 5
> 1010 2 5 5 911
> 3 4 3 10 Dataframe-1ndx V_id
> Average Mean Peak 0 1 3 2
> 53 1 2 2 76 1 1
> 1 89 1 2 5 10
> Dataframe-2ndx V_id Averag Mean Peak 1 2
> 2 1 64 2 3 3
> 67 2 2 5 1010 2
> 5 5 9 Dataframe-3ndx V_id Average Mean
> Peak 2 3 4 1 85 3
> 5 3 48 3 5 5
> 911 3 4 3 10 Bachir
I see that you got an answer over at comp.python.pydata where you managed to
get the format a bit more readable ;)
I recommend that you go with Goyo's answer, but instead of the hacky use of
locals()
> >>> locals().update((('dataframe_{}'.format(k), grouper.get_group(k))
> ... for k in grouper.groups))
I recommend that you put the groups into a normal dict
groups = {k: g.get_group(k) for k in g.groups}
and then access the partial data frames with
v_id = 2
groups[v_id]
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