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I have a data that contains suicides, year by year and country by country and more. I grouped them by age and country but by doing that i think country and age are becoming indexes and that is why I cant use them on barplot. Here is the code.

spe = df.groupby(['country','age']).sum().sort_values(by='suicides_no').xs(level='age',
                                                                          key='15-24 years')
sns.barplot(x = 'country', y = 'suicides_no',data = spe)
matplotlib.pyplot.xticks(rotation=90)

I get this error:

ValueError: Could not interpret input 'country'

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2 Answers 2

Reset to default
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You can turn indicies back into columns spe = spe.reset_index()

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If you are plotting just one group of age as your spe indicates, you can just do:

(df[df['age']=='15-24 years'].groupby('country', as_index=False)
     .sort_values('suicides_no')
     .plot.bar(x='country', y='suicides_no')
)
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