Displaying of values on barchart

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Happy的楠姐
Happy的楠姐 2020-12-15 13:47

I\'ve found a couple of similar postings to this topic. But they wasn\'t helpful for me.

I\'m relatively new to Python and Seaborn.

This is my Code:

1条回答
  •  不思量自难忘°
    2020-12-15 14:50

    Loop through the patches and annotate the bars.

    import seaborn as sns
    import matplotlib.pyplot as plt
    %matplotlib inline
    
    x_axis = ["A", "B","C","D","E","F"]
    y_axis = [78.5, 79.6, 81.6, 75.4, 78.3, 79.6]
    
    plt.ylabel('Accuracy')
    plt.title('Accuracy of Classifier')
    
    g=sns.barplot(x_axis, y_axis, color="red")
    ax=g
    #annotate axis = seaborn axis
    for p in ax.patches:
                 ax.annotate("%.2f" % p.get_height(), (p.get_x() + p.get_width() / 2., p.get_height()),
                     ha='center', va='center', fontsize=11, color='gray', xytext=(0, 20),
                     textcoords='offset points')
    _ = g.set_ylim(0,120) #To make space for the annotations
    

    Output:

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