Custom Plotly visualizations for Streamlit
Project description
streamViz
Custom Plotly visualizations for Streamlit
Installation
Open a terminal and run:
$ pip install streamviz
Demonstration App
Dependencies
Library | Language | Link |
---|---|---|
Streamlit | Python | https://github.com/streamlit/streamlit |
Plotly | Python | https://github.com/plotly/plotly.py |
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) |
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
streamviz-4.0.tar.gz
(5.6 kB
view hashes)
Built Distribution
Close
Hashes for streamviz-4.0-py2.py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 686cb18443039a95e04a10a0aa3f550fe653f93d469443a3db0005627b897756 |
|
MD5 | f14205112f82c2be379654a36ae12784 |
|
BLAKE2b-256 | 0dce5fd70acfa1977b58418a39f4d50018db8bc561f9f5906c3b1626fbcbd838 |