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https://github.com/repnot/gauge-demo
A Streamlit demo application for the streamviz Python package publicly available and distributed via the Python Package Index.
https://github.com/repnot/gauge-demo
data-visualization plotly python streamlit
Last synced: about 15 hours ago
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A Streamlit demo application for the streamviz Python package publicly available and distributed via the Python Package Index.
- Host: GitHub
- URL: https://github.com/repnot/gauge-demo
- Owner: REPNOT
- Created: 2023-10-20T02:27:44.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-04-04T05:44:43.000Z (7 months ago)
- Last Synced: 2024-04-04T06:36:31.529Z (7 months ago)
- Topics: data-visualization, plotly, python, streamlit
- Language: Python
- Homepage: https://stream-gauge.streamlit.app/
- Size: 77.4 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Plotly Indicator Gauge Demo App
[](https://stream-gauge.streamlit.app/)
A Streamlit demonstration application for
the streamviz package publicly
available and distributed via the Python Package Index.
The streamviz package helps developers quickly incorporate
Plotly gauge indicator visualizations
into their projects with the help of preset parameters. This application provides multiple demonstrations
and interactive examples to help users become familiar with streamviz. Additional information about
the application, including source code, dependencies, tools used for development, and parameters, can
be found in the documentation
section the site.
# Introduction Demo
Each of the tabs below provide different examples utilizing the gauge function using different parameters to customize the visualization.
Exapnding the tabs will reveal different input features used to interact with each demo, while also displaying and executing the code required to
produce the gauge visualization.
# Dashboard Application Demo
This dashboard application combines multiple [Plotly](https://plotly.com/python/) indicator gauge visualization's with several [Streamlit](https://streamlit.io/) components
to present Annual Supply & Disposition of Electricity report data collected from the [U.S. Energy Information Administration's](https://www.eia.gov/)
website using thier publicly available [API](https://www.eia.gov/opendata/). The data used in this application is available
for download in a JSON format on the [documentation](https://stream-gauge.streamlit.app/Documentation) page of this site.
# Interactive Demo
This page provides a demonstration that allows viewers to directly interact with the gauge visualization, while also providing
a group of settings that can be used to customize the visualization.
# Automated Demo
This application utilizes random number generators and the
st.run
feature to produce effects comparable to a live data stream and is intended to showcase
Streamlit's capabilities. The application can be
stopped at any time by pressing the stop button located at the bottom of the page. Once stopped, the
random number generators can only be restarted by refreshing the browser or by backing out of the page and
then re-entering.
# [Documentation](https://stream-gauge.streamlit.app/Documentation)
This page contains source code, JSON files for datasets used in the dashbaord demonstration,
and additional documentation related to content presented throughout the application. Visitors are welcomed to view, download, and utilize the files at their descretion.
### Software & Tools Used
| Product | Link |
| -------------------- | ------------------------------------------------------------- |
| Github Codespaces | https://github.com/features/codespaces |
| Github Repositories | https://github.com/ |
| Microsoft VS Code | https://code.visualstudio.com/ |
| Techsmith Camtasia | https://www.techsmith.com/video-editor.html |
| git | https://git-scm.com/ |
| Streamlit Workspaces | https://share.streamlit.io/ |
| Typedown 1.2.18.0 | https://apps.microsoft.com/detail/9P8TCW4H2HB4?hl=en-us&gl=US |
### Dependencies
| Library | Language | Link |
| --------- | -------- | ------------------------------------------------------------------ |
| Streamlit | Python | https://github.com/streamlit/streamlit |
| Plotly | Python | https://github.com/plotly/plotly.py |
| pandas | Python | https://github.com/pandas-dev/pandas |
### Function Parameters
| Name | Data Type | Short Desc | Options |
| -------------------------------- | ---------------- | ------------------------------------ | ----------------------------- |
| gVal | "integer, float" | gauge Value (required) | |
| gTitle | string | gauge Title (default '') | |
| gMode | string | gauge Mode (default gauge+number) | "gauge+number, gauge, number" |
| gSize | String | gauge Size (default FULL) | "SML, MED, LRG, FULL, CUST" |
| grLow | "integer, float" | Low gauge Range (default 0.30) | |
| grMid | "integer, float" | Middle gauge Range (default 0.70) | |
| gcLow | string | Low gauge Color (default #FF1708) | |
| gcMid | string | Middle gauge Color (default #FF9400) | |
| gcHigh | string | High gauge Color (default #1B8720) | |
| sFix | string | gauge Value Suffix (default 0.0) | % |
| gTheme | string | Gauge theme color (default Black) | |