✨ panel-precision-slider¶
A versatile slider with fine-tuned control, adjustable precision, and direct text input for exact values.
Features¶
- Toggle Between Slider and Input: Switch between a slider and a direct input field for value selection.
- Adjustable Step Size: Show or hide the step size adjustment slider to control the precision of the value.
- Customizable Icons: Use toggle icons to enhance the user interface for swapping views and showing steps.
Pin your version!¶
This project is in its early stages, so if you find a version that suits your needs, it’s recommended to pin your version, as updates may introduce changes.
Installation¶
Install it via pip
:
Usage¶
Development¶
For a simple setup use uv
:
uv venv
source .venv/bin/activate # on linux. Similar commands for windows and osx
uv pip install -e .[dev]
pre-commit run install
pytest tests
For the full Github Actions setup use pixi:
This repository is based on copier-template-panel-extension (you can create your own Panel extension with it)!
The PrecisionSlider
is a custom Panel component that provides a synchronized slider and input field for selecting numerical values with adjustable precision. Users can toggle between a slider and a direct input field, as well as show or hide the step size adjustment.
Basic Example¶
import panel as pn
from panel_precision_slider import PrecisionSlider
pn.extension()
# Instantiate the PrecisionSlider
precision_slider = PrecisionSlider(
value=5,
min=0,
max=10,
step=0.1,
show_step=True,
swap=False
)
# Display the slider
precision_slider
Integrating with Other Panel Components¶
You can integrate PrecisionSlider
with other Panel widgets and layouts to build interactive dashboards.
import panel as pn
import numpy as np
import holoviews as hv
from panel_precision_slider import PrecisionSlider
hv.extension('bokeh')
pn.extension()
def sine_wave(frequency):
x = np.linspace(0, 10, 500)
y = np.sin(2 * np.pi * frequency * x)
return hv.Curve((x, y), 'x', 'sin(2πfx)')
precision_slider = PrecisionSlider(name="Select Value", value=2.5, min=0, max=5, step=0.05)
sine_plot = pn.bind(sine_wave, precision_slider.param.value)
layout = pn.Column(
"### Precision Slider Example",
precision_slider,
sine_plot
)
layout.servable()
Note: copier
will show Conflict
for files with manual changes during an update. This is normal. As long as there are no merge conflict markers, all patches applied cleanly.
❤️ Contributing¶
Contributions are welcome! Please follow these steps to contribute:
- Fork the repository.
- Create a new branch:
git checkout -b feature/YourFeature
. - Make your changes and commit them:
git commit -m 'Add some feature'
. - Push to the branch:
git push origin feature/YourFeature
. - Open a pull request.
Please ensure your code adheres to the project's coding standards and passes all tests.