Code Editor for app.py

import streamlit as st
import pandas as pd
import plotly.express as px
import numpy as np

# Create sample data
dates = pd.date_range(start='2023-01-01', end='2023-12-31', freq='D')
injection_points = ['Point A', 'Point B', 'Point C']
data = []

for point in injection_points:
    for date in dates:
        value = np.random.normal(100, 10)  # Random value with some noise
        data.append({
            'CHEM_DATE': date,
            'INJECTION_POINT': point,
            'Indicator': value
        })

df = pd.DataFrame(data)

# Streamlit app
st.title('Chemical Injection Analysis')

# Sidebar for filtering
selected_indicator = 'Indicator'

# Create the line plot
fig = px.line(df, 
              x="CHEM_DATE", 
              y=selected_indicator, 
              color="INJECTION_POINT",
              title=f"{selected_indicator} en fonction du temps",
              labels={"CHEM_DATE": "Date", selected_indicator: "Valeur"},
              template="plotly_dark")

# Display the plot
st.plotly_chart(fig, use_container_width=True)