Update app.py

app.py

@@ -2,4 +2,57 @@ import streamlit as st
 import json
 import geopandas as gpd
 import pyproj
-import plotly.graph_objs as go
+import plotly.graph_objs as go
+polygon = gpd.read_file(r"\Downloads\CityBoundaries.shp")
+
+# project geopandas dataframe
+map_df = polygon
+map_df.to_crs(pyproj.CRS.from_epsg(4326), inplace=True)
+
+# reading in the points shapefile
+points = gpd.read_file(r"Downloads\USA_Major_Cities.shp")
+
+# project geopandas dataframe
+points.to_crs(pyproj.CRS.from_epsg(4326), inplace=True)
+
+# define lat, long for ponints
+Lat = points['Lat']
+Long = points['Long']
+
+# leases to geojson
+path = r"C:\Users\project\geojson.json"
+
+map_df.to_file(path, driver = "GeoJSON")
+with open(path) as geofile:
+    j_file = json.load(geofile)
+
+#index geojson
+i=1
+for feature in j_file["features"]:
+    feature ['id'] = str(i).zfill(2)
+    i += 1
+    
+# mapbox token
+mapboxt = 'MapBox Token'
+
+# define layers and plot map
+choro = go.Choroplethmapbox(z=map_df['STFIPS'], locations = map_df.index, colorscale = 'Viridis', geojson = j_file, text = map_df['NAME'], marker_line_width=0.1)
+     # Your choropleth data here
+
+
+scatt = go.Scattermapbox(lat=Lat,lon=Long,mode='markers+text',below='False', marker=dict( size=12, color ='rgb(56, 44, 100)'))
+     # Your scatter data here
+
+layout = go.Layout(title_text ='USA Cities', title_x =0.5, width=950, height=700,mapbox = dict(center= dict(lat=37, lon=-95),accesstoken= mapboxt, zoom=4,style="stamen-terrain"))
+    
+
+# streamlit multiselect widget
+layer1 = st.multiselect('Layer Selection', [choro, scatt], format_func=lambda x: 'Polygon' if x==choro else 'Points')
+
+
+#st.write('Layer 1:', layer1)
+fig = go.Figure(data=layer1, layout=layout)
+
+
+# display streamlit
+st.plotly_chart(fig)