Grouped bar plot on the x-axis-CodePudding

I have a problem. I would like to print a grouped bar plot (with seaborn or matplotlib). When I run the below snippet code I got

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

d = {'type': ['House', 'Boat', 'Bus', 'Bus', 'Boat'], 'room': ['private', 'public', 'public', 'private', 'nothing']}
df = pd.DataFrame(data=d)
print(df)

[OUT]

    type     room
0  House  private
1   Boat   public
2    Bus   public
3    Bus  private
4   Boat  nothing

g = sns.catplot(
    data=df, kind="bar",
    x='type', y=df.groupby(['type']).count(), hue="room",
    palette="dark", alpha=.6, height=6
)
g.despine(left=True)
g.set_axis_labels("", "Counts")
g.legend.set_title("")

[OUT]
ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

What I want

CodePudding user response：

Looks like this would do the trick:

pd.crosstab(df['type'],df['room']).plot.bar(stacked=True)