app.py

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

st.set_page_config(layout='wide',page_title='Titre Principale')
df = pd.read_csv('india.csv')

list_of_states = list(df['State'].unique())
list_of_states.insert(0,'Overall India')

st.sidebar.title('india Data Vix')
selected_state = st.sidebar.selectbox('select a state', list_of_states)
primary = st.sidebar.selectbox('Select primary Parameter:', sorted(df.columns[5:]))
secondary = st.sidebar.selectbox('select secondary Parameter:', sorted(df.columns[5:]))

plot = st.sidebar.button('Plot a graph')
if plot:
    st.text('Size represent primary parameter')
    st.text('Color represent secondary parameter')
    if selected_state == 'Overall India':
        #plot for india card
        fig = px.scatter_mapbox(df,lat="Latitude",lon='Longitude',size=primary,color=secondary,zoom=4,size_max=35, mapbox_style ='carto-positron',width=1200,height=700,hover_name="District")
        st.plotly_chart(fig,use_container_width=True)
    else:
        #plot for a state
        state_df = df[df.State == selected_state]
        fig = px.scatter_mapbox(state_df, lat="Latitude",lon="Longitude",size=primary,
                                color=secondary,zoom=4, size_max=35,mapbox_style="carto-positron",
                                width=1200, height=700, hover_name="District")
        st.plotly_chart(fig, use_container_width=True)