included code and requirements, next step is to make a button that can toggle between busses and trams

main.py

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+from google.transit import gtfs_realtime_pb2
+import requests
+import pandas as pd
+import numpy as np
+
+from bokeh.layouts import column
+from bokeh.palettes import brewer
+from bokeh.plotting import figure, curdoc
+from bokeh.models import GeoJSONDataSource, Button, HoverTool, LinearColorMapper, LabelSet, ColumnDataSource
+from bokeh.tile_providers import get_provider #, Vendors
+from bokeh.transform import factor_cmap
+import time
+
+def lonlattowebmercator(df, lon="LON", lat="LAT"):
+    k = 6378137
+    df["x"] = df[lon] * (k * np.pi/180.0)
+    df["y"] = np.log(np.tan((90+df[lat]) * np.pi/360.0)) * k
+    return df
+
+def getPositions():
+    ## Get the live locations of the vehicles
+    feed = gtfs_realtime_pb2.FeedMessage()
+    response = requests.get('http://gtfs.ovapi.nl/nl/vehiclePositions.pb')
+    feed.ParseFromString(response.content)
+    vehicle_positions = []
+
+    for entity in feed.entity:
+        entry = [entity.vehicle.vehicle.label, int(entity.vehicle.trip.route_id), float(entity.vehicle.position.latitude), float(entity.vehicle.position.longitude)]
+        vehicle_positions.append(entry)
+    df_vehiclePositions = pd.DataFrame(vehicle_positions, columns=["vehicle_label", "route_id", "latitude", "longitude"])
+    df_vehiclePositions = df_vehiclePositions[df_vehiclePositions["longitude"]!=0]
+    df_vehiclePositions = lonlattowebmercator(df_vehiclePositions, lon="longitude", lat="latitude")
+    return(df_vehiclePositions)
+
+def update():
+    df_vehiclePositions = getPositions()
+    df_routes = pd.read_csv("gtfs-data/routes.txt")
+
+    ## Merge tables
+    df = df_vehiclePositions.merge(df_routes, on="route_id", how="right")
+    df = df[(df["route_type"]==1) | (df["route_type"]==2) | (df["route_type"]==3)]
+    print(df["longitude"])
+    Source.stream(df, rollover=len(df["longitude"]))
+    labels = LabelSet(x='x',y='y',x_offset=5,y_offset=5,source=Source,render_mode='canvas')
+   
+
+## Get initial values
+df_vehiclePositions = getPositions()
+df_routes = pd.read_csv("gtfs-data/routes.txt")
+
+## Merge tables
+df = df_vehiclePositions.merge(df_routes, on="route_id", how="right")
+Source = ColumnDataSource(df)
+
+## Plot
+## Initialize our plot figure
+x_range,y_range=([400000,700000], [6500000, 7500000])
+OSM = get_provider('OSM')
+p = figure(title="A gtfs feed",x_range=x_range, y_range=y_range, x_axis_type='mercator',y_axis_type='mercator',sizing_mode='stretch_both',plot_width=1500,plot_height=1000)
+p.add_tile(OSM)
+my_hover=HoverTool()
+my_hover.tooltips=[('route_id','@route_id'),('Type','@route_type'),('Route','@route_long_name')]
+p.add_tools(my_hover)
+
+p.circle('x', 'y', source=Source)
+curdoc().add_root(p)
+curdoc().add_periodic_callback(update,1000)
+p.legend.location = "top_left"

requirements.txt

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+attrs==22.1.0
+bokeh==2.4.3
+certifi==2022.6.15
+charset-normalizer==2.1.0
+click==8.1.3
+click-plugins==1.1.1
+cligj==0.7.2
+Fiona==1.8.21
+gtfs-realtime-bindings==0.0.7
+idna==3.3
+Jinja2==3.1.2
+MarkupSafe==2.1.1
+munch==2.5.0
+numpy==1.23.1
+packaging==21.3
+pandas==1.4.3
+Pillow==9.2.0
+protobuf==3.20.1
+pyparsing==3.0.9
+pyproj==3.3.1
+python-dateutil==2.8.2
+pytz==2022.1
+PyYAML==6.0
+requests==2.28.1
+Shapely==1.8.2
+six==1.16.0
+tornado==6.2
+typing_extensions==4.3.0
+urllib3==1.26.11