Carto-RSE / pp_viz.py
Ilyas KHIAT
cartographie
b7289c6
raw
history blame
1.44 kB
import streamlit as st
import pandas as pd
import numpy as np
import re
import altair as alt
from session import get_partie_prenante
import os
from streamlit_vertical_slider import vertical_slider
def display_viz():
st.header("Viz")
st.title("Visualisation des parties prenantes")
partie_prenante = get_partie_prenante()
alphabet = [ pp[0] for pp in partie_prenante]
pouvoir = [ 50 for _ in range(len(partie_prenante))]
df = pd.DataFrame({'partie_prenante': partie_prenante, 'pouvoir': pouvoir, 'code couleur': partie_prenante})
st.write(df)
c = (
alt.Chart(df)
.mark_circle(size=300)
.encode(x="partie_prenante", y=alt.Y("pouvoir",scale=alt.Scale(domain=[0,100])), color="code couleur")
)
number_of_sliders = len(partie_prenante)
st.write("Modifiez le pouvoir des parties prenantes en utilisant les sliders ci-dessous")
bar = st.columns(number_of_sliders)
for i in range(number_of_sliders):
with bar[i]:
df["pouvoir"][i] = vertical_slider(
label=partie_prenante[i],
height=100,
key=partie_prenante[i],
default_value=50,
thumb_color= "orange", #Optional - Defaults to Streamlit Red
step=1,
min_value=0,
max_value=100,
value_always_visible=False,
)
st.altair_chart(c, use_container_width=True)