Aligning KDE and Strip Plot: Step-by-Step Examples
To align a KDE plot with a strip plot in seaborn, the sns.kdeplot() function is used for the KDE plot and the sns.stripplot() function is used for the strip plot.
Example 1: Overlapping KDE with Strip Plot on the Same Axes
In this basic approach:
- We use Seaborn’s
stripplotto show individual sepal lengths per species, with jitter for clarity. - Then, we loop through each species and overlay KDE plots for each distribution.
This code visualizes the `sepal_length` distribution for different `species` in the iris dataset using a combined strip plot and KDE plot. The strip plot shows individual data points with some jitter for clarity, while the KDE plot overlays a smoothed density estimate for each species. This combination provides both detailed individual data points and an overall distribution view.
import seaborn as sns
import matplotlib.pyplot as plt
data = sns.load_dataset("iris")
fig, ax = plt.subplots(figsize=(8, 6))
# Plot a strip plot
sns.stripplot(x="species", y="sepal_length", data=data, ax=ax, jitter=True, color="blue", alpha=0.6)
# Plot a KDE plot for each species
species = data['species'].unique()
for sp in species:
subset = data[data['species'] == sp]
sns.kdeplot(subset['sepal_length'], ax=ax, label=sp, fill=True, alpha=0.4)
plt.show()
Output:
Example 2: Strip Plot and KDE Plot with Shared Y-Axis
This code visualizes the total_bill distribution across different days in the tips dataset using a combined strip plot and KDE plot.
- The strip plot displays individual data points with some jitter for clarity on ax1,
- while the KDE plot overlays smoothed density estimates for each day on ax2, which shares the same y-axis.
This combination allows for a detailed view of individual data points and their overall density distribution on the same plot.
import seaborn as sns
import matplotlib.pyplot as plt
data = sns.load_dataset("tips")
fig, ax1 = plt.subplots(figsize=(8, 6))
# Plot a strip plot
sns.stripplot(x="day", y="total_bill", data=data, ax=ax1, jitter=True, color="blue", alpha=0.6)
# Create a twin axis sharing the same y-axis
ax2 = ax1.twinx()
# Plot a KDE plot on the twin axis
days = data['day'].unique()
for day in days:
subset = data[data['day'] == day]
sns.kdeplot(subset['total_bill'], ax=ax2, label=day, fill=True, alpha=0.4)
plt.show()
Output:
Strip Plot and KDE Plot with Shared Y-Axis
Example 3: Customizing Colors and Styles in Kde Plot With Strip Plot
In this example, we will customize the colors and styles of the KDE and strip plots to make the visualization more appealing and informative.
- Strip Plot: Uses the
paletteparameter to apply a custom color palette andedgecolorandlinewidthto outline the data points. - KDE Plot: Customizes the line style and width using
linestyleandlinewidth. - Customization: Adds a title, labels, and a legend for better readability.
import seaborn as sns
import matplotlib.pyplot as plt
iris = sns.load_dataset("iris")
# Create a strip plot with custom colors
sns.stripplot(x="species", y="sepal_length", data=iris, jitter=True, palette="Set2", edgecolor="black", linewidth=1)
# Overlay KDE plots with custom styles
for species in iris['species'].unique():
subset = iris[iris['species'] == species]
sns.kdeplot(subset['sepal_length'], label=species, bw_adjust=0.5, linestyle="--", linewidth=2)
plt.title("Customized Sepal Length Distribution by Species")
plt.xlabel("Species")
plt.ylabel("Sepal Length")
plt.legend(title='Species')
plt.show()
Output:
Customizing Colors and Styles in Kde Plot With Strip Plot
How To Align Kde Plot With Strip Plot In Seaborn?
A high-level interface for creating attractive and informative statistical graphics is offered by a powerful python library Seaborn. One of the most common tasks in data visualization is aligning different types of plots in one graph to gain insights into the data.
In this article, we will understand and implement how to align a KDE (Kernel Density Estimate) plot with a strip plot in seaborn.
Table of Content
- Understanding KDE Plots and Strip Plots
- Aligning KDE and Strip Plot: Step-by-Step Examples
- Example 1: Overlapping KDE with Strip Plot on the Same Axes
- Example 2: Strip Plot and KDE Plot with Shared Y-Axis
- Example 3: Customizing Colors and Styles in Kde Plot With Strip Plot