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How to Annotate Pandas Bar Plots with Numerical Values?

Mary-Kate Olsen
Release: 2024-12-08 06:04:21
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How to Annotate Pandas Bar Plots with Numerical Values?

Annotate Pandas Bar Plotting with Numerical Values

To annotate bars in a Pandas bar plot with numerical values, follow these general guidelines:

Obtain Values from Data:

Access numerical values directly from the underlying DataFrame:

df = pd.DataFrame({'A': [0.440922, 0.588242],
                    'B': [0.911800, 0.797366]},
                   index=['value1', 'value2'])
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Iterate Over Patches:

Loop through the individual bar patches:

for p in ax.patches:
    value = p.get_height()
    annotation_x = p.get_x() + (p.get_width() / 2)
    annotation_y = value + (value / 2) # Adjust this for vertical alignment
    ax.annotate(str(value), (annotation_x, annotation_y), ...)
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Format Annotations:

Customize the annotation text to suit your needs, such as rounding values to a specific precision:

value = round(value, 2)
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Set Offsets:

Refine the position of annotations by adjusting offsets:

annotation_x += p.get_width() * 0.01 # Horizontal offset
annotation_y += value * 0.01         # Vertical offset
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