import plotly.express as px

# Sample data
data = {
'id': ["A", "B", "C", "D", "E", "F", "G"],
'parent': ["", "A", "A", "B", "B", "C", "D"],
'value': [10, 15, 7, 8, 12, 6, 5],
}

# Create a sunburst chart
fig = px.sunburst(data, names='id', parents='parent', values='value')

# Set the chart title
fig.update_layout(title_text="Sunburst Chart")

# Show the chart
fig.show()

# clcoding.com

Question

import plotly.express as px

# Sample data
data = {
    'id': ["A", "B", "C", "D", "E", "F", "G"],
    'parent': ["", "A", "A", "B", "B", "C", "D"],
    'value': [10, 15, 7, 8, 12, 6, 5],
}

# Create a sunburst chart
fig = px.sunburst(data, names='id', parents='parent', values='value')

# Set the chart title
fig.update_layout(title_text="Sunburst Chart")

# Show the chart
fig.show()

# clcoding.com

Accepted Answer

The code snippet imports the plotly.express library as px. The plotly.express library is a high-level API for creating interactive visualizations. It provides an easy way to create a variety of charts and plots.

The code then defines a sample dataset called 'data', which contains three columns: 'id', 'parent', and 'value'. Each row represents a node in a hierarchical structure.

Next, the code uses the px.sunburst() function from the plotly.express library to create a sunburst chart. A sunburst chart is a circular visual representation of a hierarchical structure, similar to a pie chart.

The px.sunburst() function takes the 'data' dataset as input, and specifies the 'names', 'parents', and 'values' columns from the dataset. The 'names' column contains the unique identifiers for each node, the 'parents' column specifies the parent node for each node, and the 'values' column represents the size or value associated with each node.

The code then uses the fig.update_layout() method to set the title of the chart to "Sunburst Chart". This method allows you to customize various aspects of the chart layout, such as the title, axis labels, and color scheme.

Finally, the code uses the fig.show() method to display the chart. This method shows the chart in the output console or in a separate window, depending on the programming environment or IDE being used.

In summary, this code snippet imports the plotly.express library, creates a sample dataset, generates a sunburst chart using the dataset, sets the chart title, and displays the chart.

Code Explainer | Excel

Creating a Sunburst Chart with plotly.express

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