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
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