pipeline_layout.md

Customize Pipeline Layout

This guide addresses how to customize the visual layout of the Panel Pipeline UI.

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A Pipeline object has the following components that you can customize to display in any configuration.

• layout: The overall layout of the header and stage.

• header: The navigation components and network diagram.

• title: The name of the current stage.

• network: A network diagram representing the pipeline.

• stage: The contents of the current pipeline stage.

• buttons: All navigation buttons and selectors.

• prev_button: The button to go to the previous stage.

• prev_selector: The selector widget to select between previous branching stages.

• next_button: The button to go to the previous stage

• next_selector: The selector widget to select the next branching stages.

For instance, let's rearrange the layout of a simple non-linear pipeline. For a walk-through of this type of pipeline, refer to the Create a Non-Linear Pipeline How-to Guide.

First, let's create the stages and add them to a pipeline:

import param
import panel as pn
pn.extension() # for notebook

class Input(param.Parameterized):

    value1 = param.Integer(default=2, bounds=(0,10))
    value2 = param.Integer(default=3, bounds=(0,10))

    def panel(self):
        return pn.Column(self.param.value1, self.param.value2)

class Multiply(Input):

    value1 = param.Integer()
    value2 = param.Integer()
    operator = param.String(default='*')

    def panel(self):
        return pn.pane.Markdown(f'# {self.value1} * {self.value2}')

    @param.output('result')
    def output(self):
        return self.value1 * self.value2

class Add(Input):

    value1 = param.Integer()
    value2 = param.Integer()
    operator = param.String(default='+')

    def panel(self):
        return pn.pane.Markdown(f'# {self.value1} + {self.value2}')

    @param.output('result')
    def output(self):
        return self.value1 + self.value2

class Result(Input):

    value1 = param.Integer()
    value2 = param.Integer()
    operator = param.String(default='')
    result = param.Integer(default=0)

    def panel(self):
        return pn.pane.Markdown(f'# {self.value1} {self.operator} {self.value2} = {self.result}')

dag = pn.pipeline.Pipeline()

dag.add_stage('Input', Input)
dag.add_stage('Multiply', Multiply)
dag.add_stage('Add', Add)
dag.add_stage('Result', Result)

dag.define_graph({'Input': ('Multiply', 'Add'), 'Multiply': 'Result', 'Add': 'Result'})

Now we can use any of the layout components to arrange the UI:

pn.Column(
    dag.title,
    pn.Row(dag.buttons, pn.layout.HSpacer(), dag.stage),
    dag.network
)

Related Resources

• The How to > Create a Non-Linear Pipeline guide contains a walk-through of the type of pipeline used on the current page.