This community-built FAQ covers the “Review” exercise from the lesson “Learn Seaborn Introduction”.
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This exercise can be found in the following Codecademy content:
Data Science
Data Visualization in Python
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While playing around with the review code, I tried to Barplot the responses by age category and hue by gender.
import codecademylib3_seaborn
import pandas as pd
from matplotlib import pyplot as plt
import seaborn as sns
df = pd.read_csv("survey.csv")
sns.barplot(data=df, x='Age Range', y='Response', hue="Gender")
plt.show()
The result does what it’s supposed to to, however, the age groups on the x-axis start with the oldest and become younger with each tick, which is rather unintuitive. If I wanted to have this displayed inversely, what would be the proper way to proceed?
Thanks in advance! 
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We can use order parameter to set a specific order for the bars.
sortedlabels = sorted(df['Age Range'].unique())
sns.barplot(data=df, x='Age Range', y='Response', hue="Gender", order=sortedlabels)
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