Codes
sns.catplot()
Notes
Box plot to display data distribution and outliers across categories.
Status
Done
sns.catplot() is a flexible function in Seaborn that allows you to visualize categorical data in multiple ways. It combines various plot types under a single interface, making it easy to compare and explore data distributions.
General Syntax
sns.catplot(
data,
x=None,
y=None,
hue=None,
col=None,
row=None,
kind='strip',
height=5,
aspect=1,
order=None,
hue_order=None,
col_order=None,
row_order=None,
palette=None,
margin_titles=False,
legend_out=True,
sharex=True,
sharey=True,
dodge=True
)All Supported Plot Types with kind
Sn | kind | Description |
1 | strip | Scatterplot for categorical data, with optional jitter. |
2 | swarm | Non-overlapping scatterplot. |
3 | box | Box plot showing medians, quartiles, and outliers. |
4 | violin | Combines box plot with KDE for distribution visualization. |
5 | boxen | Enhanced box plot optimized for large datasets. |
6 | bar | Bar plot showing the mean and confidence interval. |
7 | point | Point plot showing means with confidence intervals, connected by lines. |
8 | count | Bar plot of counts for each category (no y variable required). |
3. Dataset Setup
We will use the tips dataset for all examples.
import seaborn as sns
import matplotlib.pyplot as plt
# Load the dataset
data = sns.load_dataset('tips')
data.head()The tips dataset includes:
- sex: Gender of the customer.
- smoker: Smoking status.
- day: Day of the week.
- time: Meal type (Lunch/Dinner).
- size: Party size.
- total_bill and tip: Bill and tip amounts.
total_bill | tip | sex | smoker | day | time | size | |
0 | 16.99 | 1.01 | Female | No | Sun | Dinner | 2 |
1 | 10.34 | 1.66 | Male | No | Sun | Dinner | 3 |
2 | 21.01 | 3.50 | Male | No | Sun | Dinner | 3 |
3 | 23.68 | 3.31 | Male | No | Sun | Dinner | 2 |
4 | 24.59 | 3.61 | Female | No | Sun | Dinner | 4 |
1. kind='strip'
sns.catplot(data=data,
x='day',
y='total_bill',
kind='strip',
jitter=True)
plt.title("Strip Plot of Total Bill by Day")
plt.show()
2. kind='swarm'
sns.catplot(data=data,
x='day',
y='total_bill',
kind='swarm',
hue='sex')
plt.title("Swarm Plot of Total Bill by Day with Hue")
plt.show()
3. kind='box'
sns.catplot(data=data,
x='day',
y='total_bill',
kind='box',
hue='smoker')
plt.title("Box Plot of Total Bill by Day")
plt.show()
if we want to remove the outlier from the chat, we use the fliersize=0 as shown below
sns.catplot(data=data,
x='day',
y='total_bill',
kind='box',
hue='smoker',
fliersize=0)
plt.title("Box Plot of Total Bill by Day")
plt.show()
4. kind='violin'
sns.catplot(data=data,
x='day',
y='total_bill',
kind='violin',
hue='smoker',
split=True)
plt.title("Violin Plot of Total Bill by Day")
plt.show()
5. kind='boxen'
sns.catplot(data=data,
x='day',
y='total_bill',
kind='boxen')
plt.title("Boxen Plot of Total Bill by Day")
plt.show(
6. kind='bar'
sns.catplot(data=data,
x='day',
y='total_bill',
kind='bar',
hue='time',
errorbar='sd')
plt.title("Bar Plot of Total Bill by Day")
plt.show()
7. kind='point'
sns.catplot(data=data,
x='day',
y='total_bill',
kind='point',
hue='time')
plt.title("Point Plot of Total Bill by Day")
plt.show()
8. kind='count'
sns.catplot(data=data,
x='day',
kind='count',
hue='sex')
plt.title("Count Plot of Days with Hue")
plt.show()
e. order and hue_order
Example: Custom order for day and smoker hue.
sns.catplot(
data=data,
x='day',
y='total_bill',
hue='smoker',
kind='bar',
order=['Sat', 'Sun', 'Thur', 'Fri'],
hue_order=['Yes', 'No']
)
plt.show()
f. palette
Example: Apply a custom color palette.
sns.catplot(data=data,
x='day',
y='total_bill',
kind='bar',
hue='smoker',
palette='coolwarm')
plt.show()
g. height and aspect
Example: Adjust the size of the plot.
sns.catplot(data=data,
x='day',
y='total_bill',
kind='bar',
height=6,
aspect=1.5)
plt.show()
h. margin_titles
Example: Place facet titles in margins.
sns.catplot(data=data,
x='day',
y='total_bill',
col='sex',
kind='bar',
margin_titles=True)
plt.show()
i. legend_out
Example: Keep the legend inside the plot.
sns.catplot(data=data,
x='day',
y='total_bill',
kind='violin',
hue='smoker',
legend_out=False)
plt.show()
j. sharex and sharey
Example: Allow different y-axis scales for each subplot.
sns.catplot(data=data,
x='day',
y='total_bill',
col='time',
kind='bar',
sharey=False)
plt.show()
k. dodge
Example: Separate hue categories for visibility.
sns.catplot(data=data,
x='day',
y='total_bill',
hue='sex',
kind='swarm',
dodge=True)
plt.show()
5. Final Practice Example
Combine multiple parameters:
sns.catplot(
data=data,
x='day',
y='total_bill',
hue='smoker',
col='sex',
row='time',
kind='bar',
height=6,
aspect=1.2,
palette='muted',
margin_titles=True,
sharey=False
)
plt.show()