grouping by column and then doing a boxplot by the index in pandas

Question

I have a large dataframe which I would like to group by some column and examine graphically the distribution per group using a boxplot. I found that `df.boxplot()` will do it for each column of the dataframe and put it in one plot, just as I need. The problem is that after a groupby operation, my data is all in one column with the group labels in the index , so i can't call boxplot on the result. here is an example: ``` df = DataFrame({'a':rand(10),'b':[x%2 for x in range(10)]}) df a b 0 0.273548 0 1 0.378765 1 2 0.190848 0 3 0.646606 1 4 0.562591 0 5 0.409250 1 6 0.637074 0 7 0.946864 1 8 0.203656 0 9 0.276929 1 ``` Now I want to group by column b and boxplot the distribution of both groups in one boxplot. How can I do that?

Accepted Answer

You can use the `by` argument of `boxplot`. Is that what you are looking for?

```
df.boxplot(column='a', by='b')
```

grouping by column and then doing a boxplot by the index in pandas

Solution

Problem