Skip to main content

A Streamlit component for rendering donut metrics/visuals

Project description

Streamlit Donut

streamlit-donut is a Streamlit component for rendering customizable donut charts. This package allows you to easily create visually appealing donut charts in your Streamlit applications.

Installation

You can install the package using pip:

pip install streamlit-donut

Usage

Here is an example of how to use the st_donut function in your Streamlit application:

import streamlit as st
from streamlit_donut import st_donut

# Example usage
progress = st.slider("Progress", -100, 100, 10)
size = 200
text_size = 24

st_donut(
    label="Site Completion",
    value=progress,
    outOf=100,
    units="%",
    size=size,
    value_text_color="purple",
    text_size=text_size,
    background_stroke_width=30,
    arc_stroke_width=40,
    direction="clockwise",
    delta="-10%",
    rounded=True,
    label_visibility=True,
    hide_background=True,
)

Parameters

  • label (str): The label for the donut chart.
  • value (float): The current value to be displayed on the donut chart.
  • outOf (float, optional): The maximum value of the donut chart. Default is 100.
  • units (str, optional): The units to be displayed next to the value. Default is an empty string.
  • delta (Optional[str], optional): The delta value to be displayed below the main value. Default is None.
  • space (int, optional): The vertical space between the main value and the delta value. Default is 30.
  • size (int, optional): The size of the donut chart. Default is 180.
  • direction (Literal["clockwise", "anticlockwise"], optional): The direction of the donut chart. Default is "clockwise".
  • text_size (int, optional): The font size of the main value. Default is 50.
  • delta_text_size (int, optional): The font size of the delta value. Default is 18.
  • value_text_color (Optional[str], optional): The color of the main value text. Default is None.
  • arc_bg_color (Optional[str], optional): The background color of the arc. Default is None.
  • background_stroke_width (int, optional): The stroke width of the background circle. Default is 19.
  • arc_stroke_width (Optional[int], optional): The stroke width of the arc. Default is None.
  • rounded (bool, optional): Whether the arc should have rounded edges. Default is True.
  • label_visibility (bool, optional): Whether the label should be visible. Default is True.
  • hide_background (bool, optional): Whether the background circle should be hidden. Default is False.

License

This project is licensed under the Apache License 2.0.

Contributing

Contributions are welcome! Please open an issue or submit a pull request on GitHub.

Acknowledgements

Inspired by this CodePen example.

Author Benson Nderitu (bent25066@gmail.com)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

streamlit_donut-0.1.1.tar.gz (7.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

streamlit_donut-0.1.1-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file streamlit_donut-0.1.1.tar.gz.

File metadata

  • Download URL: streamlit_donut-0.1.1.tar.gz
  • Upload date:
  • Size: 7.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.3

File hashes

Hashes for streamlit_donut-0.1.1.tar.gz
Algorithm Hash digest
SHA256 24c5c62ff15983b47e45a5144915a6024f81e81cff6e67bae602abbb7c34819f
MD5 4cd2c4241b1f5f951d6e5e068d480777
BLAKE2b-256 1852b5f6e5908fe135f30cf0354125746a74cbadb5d355ab61ac9dfafded05ca

See more details on using hashes here.

File details

Details for the file streamlit_donut-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_donut-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 ea4f8d6500fc2c5686aff121be6280d1e8e424786d2c329d5282a94ce68c45f6
MD5 27a15a4549fc9244e8c0d1e73261ff5f
BLAKE2b-256 67e8a5229935fa99e2a4f1e2042bb43cc101241f6f4ecd806f4fd56a262edaad

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page