Adding Percentages to Plotly Sunburst Plot Hover Tooltip – plotly.express

Are you tired of boring sunburst plots that lack essential information? Do you want to take your data visualization to the next level? Look no further! In this article, we’ll show you how to add percentages to Plotly sunburst plot hover tooltips using plotly.express. By the end of this tutorial, you’ll be able to create stunning sunburst plots that provide valuable insights to your audience.

What are Sunburst Plots?

Sunburst plots are a type of hierarchical visualization that displays categorical data as a sequence of concentric circles. Each circle represents a level of hierarchy, and the size of each segment corresponds to the proportion of the parent category. Sunburst plots are perfect for showing how different categories contribute to a whole.

Why Add Percentages to Hover Tooltips?

While sunburst plots are excellent for showing hierarchical data, they can be limited in terms of providing detailed information. By adding percentages to hover tooltips, you can provide your audience with a more comprehensive understanding of the data. Imagine being able to hover over a segment and see the exact percentage contribution to the parent category – it’s a game-changer!

Getting Started with Plotly.express

Before we dive into adding percentages to hover tooltips, let’s cover the basics of creating a sunburst plot using plotly.express.

import pandas as pd
import plotly.express as px

# Create a sample dataset
data = {'category': ['A', 'A', 'B', 'B', 'C', 'C'],
        'subcategory': ['A1', 'A2', 'B1', 'B2', 'C1', 'C2'],
        'value': [10, 20, 30, 40, 50, 60]}

df = pd.DataFrame(data)

# Create a sunburst plot
fig = px.sunburst(df, names='category', parents='subcategory', values='value')

# Show the plot
fig.show()

This code creates a simple sunburst plot with three categories (A, B, and C) and their corresponding subcategories. The `values` parameter specifies the values to be plotted.

Adding Percentages to Hover Tooltips

Now, let’s add percentages to the hover tooltips. We’ll need to calculate the percentages and then customize the hover template.

import pandas as pd
import plotly.express as px

# Create a sample dataset
data = {'category': ['A', 'A', 'B', 'B', 'C', 'C'],
        'subcategory': ['A1', 'A2', 'B1', 'B2', 'C1', 'C2'],
        'value': [10, 20, 30, 40, 50, 60]}

df = pd.DataFrame(data)

# Calculate percentages
df['percentage'] = (df['value'] / df.groupby('category')['value'].transform('sum')) * 100

# Create a sunburst plot
fig = px.sunburst(df, names='subcategory', parents='category', values='value')

# Customize hover template
hover_template = '%{label}
'+
                  'Value: %{value}
'+
                  'Percentage: %{customdata[0]:.2f}%'

fig.update_traces(hovertemplate=hover_template, customdata=df[['percentage']])

# Show the plot
fig.show()

In this code, we first calculate the percentages by dividing each value by the sum of the values in its category and multiplying by 100. We then create the sunburst plot as before. The key step is to customize the hover template using the `update_traces` method. We specify the `hovertemplate` parameter, which defines the format of the hover tooltip. In this case, we include the label, value, and percentage. The `customdata` parameter is used to pass the calculated percentages to the hover tooltip.

Customizing the Hover Tooltip

The hover tooltip can be further customized to include additional information or to change the formatting. For example, you can add the category name to the tooltip or display the percentage with two decimal places.

hover_template = '%{label}
'+
                  'Category: %{parent}
'+
                  'Value: %{value}
'+
                  'Percentage: %{customdata[0]:.2f}%'

In this example, we add the category name to the tooltip using `%{parent}`. We also format the percentage with two decimal places using `:.2f`.

Tips and Tricks

Here are some additional tips and tricks to enhance your sunburst plots:

• Use a consistent color scheme to differentiate between categories.

• Experiment with different hover template formats to find the one that works best for your data.

• Consider adding additional information to the hover tooltip, such as the number of observations or the standard deviation.

• Use Plotly’s built-in themes to change the appearance of your plot.

Conclusion

Adding percentages to Plotly sunburst plot hover tooltips is a simple yet effective way to provide more context to your audience. By following the steps outlined in this article, you can create stunning sunburst plots that showcase your data in a clear and concise manner. Remember to experiment with different hover template formats and customization options to make your plot truly unique.

Keyword	Description
plotly.express	A high-level interface for creating interactive plots with Plotly.
sunburst plot	A type of hierarchical visualization that displays categorical data as a sequence of concentric circles.
hover tooltip	A small box that appears when the user hovers over a segment in the sunburst plot, providing additional information.

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