SNS Countplot with Only the Max Displayed

In this tutorial, we will discuss how to create a countplot in Seaborn that displays only the maximum count on the y-axis.

Seaborn Countplot

Seaborn is a Python data visualization library that provides a high-level interface for creating informative and attractive statistical graphics. Seaborn is built on top of matplotlib and integrates closely with pandas data structures.

Seaborn's countplot function is used to show the counts of observations in each categorical bin using bars. It is essentially a barplot where the bars represent the count of unique values in a categorical variable.

Displaying Only the Max Count in Seaborn Countplot

By default, Seaborn's countplot function displays the count of observations on the y-axis. However, you may only want to display the maximum count on the y-axis to make the plot more concise and visually appealing. To achieve this, we can use the following code:

import seaborn as sns

# Load data
tips = sns.load_dataset("tips")

# Create countplot
ax = sns.countplot(x="day", data=tips)

# Get the maximum count
max_count = tips["day"].value_counts().max()

# Set y-axis limit to only the maximum count
ax.set_ylim([0, max_count])

In this code, we load the tips dataset from Seaborn and create a countplot of the categorical variable "day". We then get the maximum count for this variable using the value_counts() function and set the y-axis limit to only display up to this maximum count using set_ylim().

Conclusion

In this tutorial, we discussed how to create a countplot in Seaborn that only displays the maximum count on the y-axis. Seaborn's countplot function is a powerful tool for visualizing categorical data, and by modifying its display options, we can create more concise and informative plots.