How to rescale the y-axis of a boxplot in python

Question

I have a boxplot below (using seaborn) where the "box" part is too squashed. How do I change the scale along the y-axis so that the boxplot is more presentable (ie. the "box" part is too squashed) but still keeping all the outliers in the plot?

Many thanks.

Answer 1

You could set the axis after the plot:

import seaborn as sns

df = sns.load_dataset('iris')
a = sns.boxplot(y=df["sepal_length"])
a.set(ylim=(0,10))

Additionally, you could try dropping outliers from the plot passing showfliers = False in boxplot .

Answer 2

You can do two things here.

• Make the plot bigger
• Change the range of the y-axis

Since you want to keep the outliers, rescaling the y-axis may not be that effective. You haven't given any data or code examples. So I'll just add a way to make your figure bigger.

# this script makes the figure bigger and rescale the y-axis
ax = plt.figure(figsize=(20,15))
ax = sns.boxplot(x="day", y="total_bill", data=tips)
ax.set_ylim(0,100)