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RangeLinePlot

RangeLinePlot is a Dash component library.

RangeLinePlot integrates with Plotly.js to create interactive line plots with a draggable range selector. The component allows users to highlight a selected range on the x- or y-axis and dynamically adjust it through drag-and-drop functionality.

Demonstration


Features

  • Interactive Range Selection: Highlight a range on the x- or y-axis and adjust it interactively.
  • Customizable Styles: Modify line, boundary, and gray zone styles to match your design.
  • Dash Integration: Fully compatible with Python Dash applications.

Installation

Install the component from PyPI using pip:

pip install dash-rangelineplot

Usage

from dash import Dash, html
from rangelineplot import Rangelineplot

app = Dash(__name__)

app.layout = html.Div([
    Rangelineplot(
        id="example-plot",
        data={
            "x": list(range(10)),
            "y": [x ** 2 for x in range(10)],
        },
        range=[2, 6],  # Initial range
        axisType="x",  # Range applies to x-axis
    )
])

if __name__ == "__main__":
    app.run_server(debug=True)

Props

Prop Type Default Value Description
id string None Unique identifier for the component.
data dict {"x": [], "y": []} Input data as two arrays: x and y. Must have equal lengths.
range list[number] None Initial range [start, end] for the selected axis.
axisType string 'x' Specifies the axis for the range ('x' or 'y').
lineStyle dict {color: '#1f77b4', width: 2} Plotly line style for the main data trace.
grayZoneStyle dict {fillcolor: 'rgba(200,200,200,0.5)'} Fill style for gray zones outside the selected range.
boundaryStyle dict {color: 'transparent', width: 20} Line style for the draggable boundary lines.

Development

Install Dependencies

If you’re contributing to the development of this component, install the necessary dependencies:

npm install
pip install -r requirements.txt

Build the Component

After making changes to the React component, rebuild the bundle:

npm run build
python usage.py

The resulting files will be placed in the rangelineplot/ directory for use in the Python wrapper.

License

This project is licensed under the MIT License.

Metadata

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