Comments (2)
Looks like you want to get the number of rows of nested frames in column data2
?
f.data2.size
(you should actually do f.data2.size()
is getting the sizes of the series in each group, which are all 1's.
What you need to do is:
>>> df = (
... df1
... >> nest_join(df2)
... >> rename(data2=f._y_joined)
... >> group_by(f.x)
... >> mutate(ct=f.data2.transform(lambda x: nrow(x.iloc[0])))
... >> ungroup()
... )
>>> df
x data1 data2 ct
<int64> <object> <object> <int64>
0 1 <DF 1x2> <DF 1x1> 1
1 2 <DF 1x2> <DF 1x1> 1
2 3 <DF 1x2> <DF 0x1> 0
3 4 <DF 1x2> <DF 0x1> 0
Explanation on mutate(ct=f.data2.transform(lambda x: nrow(x.iloc[0])))
:
f.data2
is the column with the nested frames, and it is evaluated as aSeriesGroupBy
object, since the entire frame is grouped.transform()
is to transform the nested frames into their corresponding # rowslambda x: nrow(x.iloc[0]))
is to get the # rows of the nested frames in each group in thatf.data2
column. Note thatx
is aSeries
object with the nested frame as the only element. However, the index of the object is from0
to3
in each group, we can't usex[0]
directly to get the element, instead, we needx.iloc[0]
.
from datar.
Thanks a lot for the explanation!
from datar.
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