问题
My categorical variable case_satus takes on four unique values. I have data from 2014 to 2016. I would like to plot the distribution of case_status grouped by year. I try to this using:
df.groupby('year').case_status.value_counts().plot.barh()
And I get the following plot:
What I would like to have is a nicer represenation. For example where I have one color for each year, and all the "DENIED" would stand next to each other.
I think it can be achieved since the groupby object is a multi-index, but I don't understand it well enough to create the plot I want.
The solution is:
df.groupby('year').case_status.value_counts().unstack(0).plot.barh()
and results in
回答1:
I think you need add unstack for DataFrame:
df.groupby('year').case_status.value_counts().unstack().plot.barh()
Also is possible change level:
df.groupby('year').case_status.value_counts().unstack(0).plot.barh()
来源：https://stackoverflow.com/questions/48238305/bar-plot-with-groupby