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-0.1.2.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-0.1.2-py3-none-any.whl (8.5 kB view details)

Uploaded Python 3

File details

Details for the file streamlit_donut-0.1.2.tar.gz.

File metadata

  • Download URL: streamlit_donut-0.1.2.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-0.1.2.tar.gz
Algorithm Hash digest
SHA256 ddd0fb2c5e47aa5fb77f91f0fb70e8fb3085d42cb9065dfe349eb4c922da5b1a
MD5 1c9db2397e17e89dde7aca1e103343f9
BLAKE2b-256 6938e1cdc802348175149a5c1cb6ff55f3d01541a31e52e4a8804b1d5438db24

See more details on using hashes here.

File details

Details for the file streamlit_donut-0.1.2-py3-none-any.whl.

File metadata

File hashes

Hashes for streamlit_donut-0.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 720dfc30722291da401cfa10c3417b0c6d4d22f36c561feead1ac2ddd310e35d
MD5 8c9ce2ff903787694e42131eedaeaea6
BLAKE2b-256 ed0483bf5fe5bd56ca272dfbd6a5154bc422117ad8ef9e1b5ccc73eed797e797

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