Create app.py

app.py

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+import streamlit as st
+import numpy as np
+import pandas as pd
+import seaborn as sn
+import matplotlib.pyplot as plt
+import plotly.express as px
+
+st.set_option('deprecation.showPyplotGlobalUse', False)
+st.set_page_config(layout='wide')
+
+df = pd.read_csv('india.csv')
+
+list_of_states = list(df['State'].unique())
+list_of_states.insert(0, 'Overall India')
+
+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 Graph')
+
+if plot:
+    st.text('Size represents Primary Parameter')
+    st.text('Color represents Secondary Parameter')
+
+    if selected_state == 'Overall India':
+        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:
+        state_df = df[df.State == selected_state]
+        fig = px.scatter_mapbox(state_df,lat='Latitude',lon='Longitude',
+                                size=primary,color=secondary,zoom=6,size_max=35,
+                                mapbox_style='carto-positron', width=1200,height=700,hover_name='District')
+        st.plotly_chart(fig,use_container_width=True)