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How to Make Countplot or barplot with Seaborn Catplot?

  • Last Updated : 25 Nov, 2020

In Python, we can normally plot barcharts for numerical variables. But when it comes to the case of categorical variables then we cannot normally plot the count for each category. Here comes Seaborn Catplot in the picture. It allows you to plot the count of each category for non-numerical/categorical variables.

Creating the Countplot 

Countplot gives a graphical visual for the count of observations in each category using bars. This cannot be used for quantitative variables. It can be created by passing the count value to the kind parameter.

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Example: Let’s take an example of a titanic dataset.



Python3




# import libraries
import matplotlib.pyplot as plt
import seaborn as sns
  
# setting background style
sns.set_style('darkgrid')
  
# import dataset
data = sns.load_dataset('titanic')
data.head()

Output:

Example 1: Creating the countplot

Python3




# plot for count of passengers belonging
# to each gender
sns.catplot(x='sex', kind='count', data=data)
plt.xlabel("Gender")
plt.ylabel("Count")

Output:

Example 2: Creating the grouped countplot



Python3




# Grouped Countplot/Barplot
# Count of passengers who survived
# or didn't of each gender
sns.catplot(x='sex', hue='survived',
            kind='count', data=data)
  
plt.xlabel("Gender")
plt.ylabel("Count")

Output:

Example 3: Creating the horizontal countplot

Python3




# Plotting horizontally
sns.catplot(y='sex', hue='survived'
            kind='count', data=data)
  
plt.xlabel("Count")
plt.ylabel("Gender")

Output:




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