add laptimes

app.py

@@ -82,12 +82,14 @@ app_ui = ui.page_fluid(
                 ui.column(
                     6,
                     ui.output_plot("gear_1"),
-                    ui.output_text("fastest_driver_1")
+                    ui.output_text("fastest_driver_1"),
+                    ui.output_text("laptime_1")
                 ),
                 ui.column(
                     6,
                     ui.output_plot("gear_2"),
-                    ui.output_text("fastest_driver_2")
+                    ui.output_text("fastest_driver_2"),
+                    ui.output_text("laptime_2")
                 )
             ),
         ),
@@ -140,7 +142,8 @@ def server(input, output, session):
             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)
-            return segments, gear, driver
+            lap_time = lap['LapTime']
+            return segments, gear, driver, lap_time
 
         except Exception:
             ui.notification_show("Data not available. Select another track or driver.", duration=10, type = 'error')
@@ -169,7 +172,8 @@ def server(input, output, session):
             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)
-            return segments, gear, driver
+            lap_time = lap['LapTime']
+            return segments, gear, driver, lap_time
 
         except Exception:
             ui.notification_show("Data not available. Select another track or driver.", duration=10, type = 'error')
@@ -177,22 +181,50 @@ def server(input, output, session):
     @output
     @render.text
     def fastest_driver_1():
-        segments, gear, driver = get_data_1()
+        segments, gear, driver, lap_time = get_data_1()
         #print(f"The driver of the fastest lap this session is: {driver}")
         return f"Graph shows the fastest lap of: {driver}"
     
     @output
     @render.text
     def fastest_driver_2():
-        segments, gear, driver = get_data_2()
+        segments, gear, driver, lap_time = get_data_2()
         #print(f"The driver of the fastest lap this session is: {driver}")
         return f"Graph shows the fastest lap of: {driver}"
+    
+    @output
+    @render.text
+    def laptime_1():
+        segments, gear, driver, lap_time = get_data_1()
+        delta_str= str(lap_time)
+        # Split the time delta string to extract hours, minutes, and seconds
+        time_parts = delta_str.split(" ")[-1].split(":")
+        hours, minutes, seconds = map(float, time_parts)
+
+        # Convert the extracted values to the desired format
+        formatted_time = "{:02d}:{:06.3f}".format(int(hours * 60 + minutes), seconds)
+
+        return f"The lap time is: {formatted_time}"
+    
+    @output
+    @render.text
+    def laptime_2():
+        segments, gear, driver, lap_time = get_data_2()
+        delta_str= str(lap_time)
+        # Split the time delta string to extract hours, minutes, and seconds
+        time_parts = delta_str.split(" ")[-1].split(":")
+        hours, minutes, seconds = map(float, time_parts)
+
+        # Convert the extracted values to the desired format
+        formatted_time = "{:02d}:{:06.3f}".format(int(hours * 60 + minutes), seconds)
+
+        return f"The lap time is: {formatted_time}"
 
     @output
     @render.plot
     def gear_1():
         try:
-            segments, gear, driver = get_data_1()
+            segments, gear, driver, lap_time = get_data_1()
             
             cmap = cm.get_cmap('Paired')
             lc_comp = LineCollection(segments, norm=plt.Normalize(1, cmap.N+1), cmap=cmap)
@@ -216,7 +248,7 @@ def server(input, output, session):
     @render.plot
     def gear_2():
         try:
-            segments, gear, driver = get_data_2()
+            segments, gear, driver, lap_time = get_data_2()
             
             cmap = cm.get_cmap('Paired')
             lc_comp = LineCollection(segments, norm=plt.Normalize(1, cmap.N+1), cmap=cmap)

cache/fastf1_http_cache.sqlite

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e42b17a02523d5d41be6dc5a492b5c5b4b0fec7cf167e2d1f2af55c975f1bfae
+oid sha256:558bbd011d53b4981749e5e03426fc7a107d27f757f2d43c9730b22fd0660360
 size 287285248

f1.py

@@ -3,11 +3,12 @@ import matplotlib.pyplot as plt
 from matplotlib.collections import LineCollection
 from matplotlib import cm
 import numpy as np
+import pandas as pd
 
 
 ff1.Cache.enable_cache('.\cache')
 
-session = ff1.get_session(2023, 'Hungary', 'R')
+session = ff1.get_session(2023, 'Austria', 'R')
 session.load()
 
 lap = session.laps.pick_fastest()
@@ -40,4 +41,19 @@ cbar.set_ticks(np.arange(1.5, 9.5))
 cbar.set_ticklabels(np.arange(1, 9))
 
 
-plt.show()
+plt.show()
+
+lap_time = lap['LapTime']
+
+def format_timedelta(td):
+    delta_str= str(td)
+    # Split the time delta string to extract hours, minutes, and seconds
+    time_parts = delta_str.split(" ")[-1].split(":")
+    hours, minutes, seconds = map(float, time_parts)
+
+    # Convert the extracted values to the desired format
+    formatted_time = "{:02d}:{:06.3f}".format(int(hours * 60 + minutes), seconds)
+
+    return f"The lap time is: {formatted_time}"
+
+print(format_timedelta(lap_time))