Create app.py

app.py

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+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)