copy f1 code to app.py

app.py

@@ -1,4 +1,47 @@
 from shiny import App, ui
+import fastf1 as ff1
+import matplotlib.pyplot as plt
+from matplotlib.collections import LineCollection
+from matplotlib import cm
+import numpy as np
+
+
+ff1.Cache.enable_cache('.\cache')
+
+session = ff1.get_session(2023, 'Austria', 'R')
+session.load()
+
+lap = session.laps.pick_fastest()
+tel = lap.get_telemetry()
+
+#converting data to numpy data tables
+x = np.array(tel['X'].values)
+y = np.array(tel['Y'].values)
+
+points = np.array([x, y]).T.reshape(-1, 1, 2)
+segments = np.concatenate([points[:-1], points[1:]], axis=1)
+gear = tel['nGear'].to_numpy().astype(float)
+
+cmap = cm.get_cmap('Paired')
+lc_comp = LineCollection(segments, norm=plt.Normalize(1, cmap.N+1), cmap=cmap)
+lc_comp.set_array(gear)
+lc_comp.set_linewidth(4)
+
+plt.gca().add_collection(lc_comp)
+plt.axis('equal')
+plt.tick_params(labelleft=False, left=False, labelbottom=False, bottom=False)
+
+title = plt.suptitle(
+    f"Fastest Lap Gear Shift Visualization\n"
+    f"{lap['Driver']} - {session.event['EventName']} {session.event.year}"
+)
+
+cbar = plt.colorbar(mappable=lc_comp, label="Gear", boundaries=np.arange(1, 10))
+cbar.set_ticks(np.arange(1.5, 9.5))
+cbar.set_ticklabels(np.arange(1, 9))
+
+
+plt.show()
 
 app_ui = ui.page_fluid(
     ui.input_slider("n", "Choose a number n:", 0, 100, 40),