Update backup.app.py

backup.app.py

@@ -1,16 +1,35 @@
 import streamlit as st
 import pandas as pd
 import plotly.express as px
+import plotly.graph_objects as go
+import base64
+
+# Function to create a download link
+def create_download_link(file_path, link_title):
+    with open(file_path, 'rb') as file:
+        csv_data = file.read()
+    b64 = base64.b64encode(csv_data).decode()
+    return f'<a href="data:file/csv;base64,{b64}" download="{link_title}.csv">{link_title}</a>'
 
 # Function to plot the map
 def plot_map(data):
-    fig = px.choropleth(data, locations='State', locationmode="USA-states", color='Revenue',
-                        scope="usa", title="Top Corporations by State in the United States",
-                        hover_name='Corporation', hover_data=['Revenue'])
+    fig = px.choropleth(locations=data['State'], locationmode="USA-states", scope="usa")
+    grouped_data = data.groupby('State')
+    for state, group in grouped_data:
+        top_corp = group.nlargest(1, 'Revenue')
+        text_label = f"{top_corp['Corporation'].iloc[0]} - ${top_corp['Revenue'].iloc[0]}B"
+        lon = group['Longitude'].mean()
+        lat = group['Latitude'].mean()
+        fig.add_trace(go.Scattergeo(
+            lon=[lon],
+            lat=[lat],
+            text=text_label,
+            mode='text',
+        ))
+    fig.update_layout(title="Top Corporation by State in the United States")
     return fig
 
-# Streamlit app
-st.title('Top Corporations by State in the United States')
+st.title('Top Corporation by State in the United States 🏢')
 
 # Upload CSV
 uploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True, type="csv")
@@ -18,14 +37,16 @@ uploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=Tru
 # Display map button
 display_map_button = st.button('Display Map of CSV Data 🗺️')
 
-# If button is clicked, use uploaded files to generate maps or use the default CSV file
 if display_map_button:
     if uploaded_files:
         for uploaded_file in uploaded_files:
             data = pd.read_csv(uploaded_file)
-            st.write(f"Map for {uploaded_file.name}")
+            st.write(f"Map for {uploaded_file.name} 🌐")
             st.plotly_chart(plot_map(data))
     else:
-        # Use the default CSV file if no files are uploaded
-        data = pd.read_csv('corporations_data.csv')
-        st.plotly_chart(plot_map(data))
+        st.write("Please upload a CSV file to proceed. 📑")
+
+# Download link for the CSV file
+csv_file_path = 'top_corporation_per_state.csv'
+download_link = create_download_link(csv_file_path, "Top Corporations by State")
+st.markdown(download_link, unsafe_allow_html=True)