Visualizing Seaborn Multiline Plot with Hue
Creating a multiline plot with Seaborn and specifying the hue involves utilizing the hue
parameter within the lineplot
function to add another dimension to the visualization.
The code snippet demonstrated below, a multiline plot depicting FMRI dataset that contains observations from a functional magnetic resonance imaging (FMRI) study. It includes columns such as ‘timepoint’, representing different time points during the study, ‘signal’, indicating the recorded FMRI signal intensity, and ‘region’, specifying the brain region being observed.
The ci
parameter is set to None
, implying that no confidence intervals will be displayed on the plot.
import seaborn as sns
import matplotlib.pyplot as plt
data = sns.load_dataset('fmri')
sns.lineplot(data=data, x='timepoint', y='signal', hue='region',ci=None)
plt.xlabel('Timepoint')
plt.ylabel('Signal')
plt.title('FMRI Signal Over Time by Region')
plt.show()
Output:
How To Create A Multiline Plot Using Seaborn?
Data visualization is a crucial component of data analysis, and plotting is one of the best ways to visualize data. The Python data visualization package Seaborn offers a high-level interface for making visually appealing and educational statistics visuals. The multiline plot, which lets you see numerous lines on one plot and makes it simple to compare and contrast various data sets, is one of Seaborn’s most helpful visualizations.
In this post, we will explore How To Create A Multiline Plot Using Seaborn using examples and step-by-step directions.
How To Create A Multiline Plot Using Seaborn?
- What is a Multiline Plot?
- Visualizing Multiline Plot Using Seaborn lineplot()
- Visualizing Seaborn Multiline Plot with Hue
- Customizing Seaborn Multiline Plot
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