CODEWITHSUNDEEP
pythonpandasseaborn
rachelvsamuel
rachelvsamuel

Reputation: 1711

How do you plot a limited number of bars in pandas or seaborn?

I have a huge dataset with hundreds of cities. I want to make a bar chart with just the 50 most occurring cities.

Here is what I have so far:

base_color = sb.color_palette()[0]
cat_order = planes_df['OriginCityName'].value_counts().index
plt.figure(figsize = [11, 5])
sb.countplot(data = planes_df, x = 'OriginCityName', color = base_color, order = cat_order)
plt.title('# of planes that takeoff from the origin state')
plt.xlabel('Origin States')
plt.ylabel('Number of Planes')
plt.xticks(rotation = 90);

This plots hundreds of cities. How can I just plot the 50 most frequest cities?

bar chart

I know there must be a limiter....

Upvotes: 1

Views: 99

Answers (1)

gosuto
gosuto

Reputation: 5741

You could take the .head() after sorting using .sort_values() and assign that to cat_order:

planes_df['OriginCityName'].value_counts().sort_values().head(50).index

Upvotes: 1

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