Tracking Attention Scores over Time

Category: Python Libraries For Data Science

Tags: attention, Line plot, Seaborn, visualization

Using the ‘attention’ dataset from Seaborn, create a line plot showcasing scores over time for each attention group.

Example Output:

You can use the sns.lineplot function, and the attention dataset can be loaded using sns.load_dataset('attention').

import seaborn as sns
import matplotlib.pyplot as plt

def plot_attention_scores():
    attention_data = sns.load_dataset('attention')
    sns.lineplot(x='solutions', y='score', hue='attention', data=attention_data)
    plt.title('Attention Scores over Time')
    plt.show()

plot_attention_scores()

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Tracking Attention Scores over Time

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