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Dash Callback Cheat Sheet

Dash Callback Cheat Sheet

Key Concepts:

  • Reactivity: Callbacks automatically trigger whenever an input value changes.
  • Declarative definition: You clearly define relationships between inputs and outputs.
  • Component IDs: Uniquely identify each component in your layout.
  • Component properties: Specify which part of a component to update (e.g., value, figure).
  • Input/Output combinations: Connect related inputs to update relevant outputs.
  • State storage: Use State to persist data between callback executions (e.g., dropdown selections).
  • Chained callbacks: Use output of one callback as input to another for complex interactions.

Key Points:

  • Trigger: Callbacks are triggered by changes in Input component properties, not State.
  • Structure: A callback must have at least one Input and one Output, but State is optional.
  • Function Arguments: All Inputs and States must be represented as arguments within the callback function.
  • Return Value: The callback function returns data to the specified Output component property.

Additional Considerations:

  • Dataframe Modifications: Always create a copy of the dataframe before modifying it within a callback to avoid unintended side effects.
  • Unique Outputs: Each Output component/property pair can only be set by a single callback.
  • Conditional Updates:
    • To prevent output updates, raise a PreventUpdate exception.
    • To update only specific outputs, return Dash.no_update for those that should remain unchanged.
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@app.callback(
    Output("my-graph", "figure"),  # Output
    Input("dropdown", "value"),   # Input
    State("memory-store", "data"), # State (optional)
)
def update_graph(dropdown_value, stored_data):
    # Process input, update data, generate output
    df_copy = stored_data.copy()  # Make a copy of the dataframe
    df_copy = df_copy[df_copy["category"] == dropdown_value]
    figure = create_figure(df_copy)
    return figure

Tips:

  • Use meaningful component IDs for better readability.
  • Keep callback functions concise and focused on specific updates.
  • Test your callbacks thoroughly with different input values.
  • Refer to the official Dash documentation for advanced features and examples: https://dash.plotly.com/

Additional Resources:

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