Streamlit live task
Live task to generate a streamlit app dashboard
Live task to generate a streamlit app dashboard.
Warning: It is recommended to use code snippets comming from trusted sources.
Here is the general documentation for live task (including how to use the parameters): https://constellab.community/bricks/gws_core/latest/doc/developer-guide/live-task/getting-started/69820653-52e0-41ba-a5f3-4d9d54561779
Here is the documentation of the live task: https://constellab.community/bricks/gws_core/latest/doc/developer-guide/live-task/env-live-task/c6acb3c3-2a7c-44cd-8fb2-ea1beccdbdcc
More information about streamlit: https://streamlit.io
Input
Resource
Output
Streamlit app
Streamlit App
Configuration
code
Code of the streamlit app to run
python_code_param# This is a template for a streamlit live task.
# This generates an app with one dataframe as input. Then the user can select 2 columns to plot a scatter plot.
import plotly.express as px
import streamlit as st
from pandas import DataFrame
# Your Streamlit app code here
st.title("Dashboard example")
# show a table from file_path which is a csv file full width
if sources:
df: DataFrame = sources[0].get_data()
# show the dataframe
st.dataframe(df)
# add a select widget with the columns names with no default value
# set the selectbox side by side
col1, col2 = st.columns(2)
with col1:
x_col = st.selectbox("Select x column", options=df.columns, index=0)
with col2:
y_col = st.selectbox("Select y column", options=df.columns, index=1)
if x_col and y_col:
# Generate a scatter plot with plotly express
fig = px.scatter(df, x=x_col, y=y_col)
st.plotly_chart(fig)