ENH: add track markers from MV API and expose session info

docs/changelog/v3.1.x.rst

@@ -6,6 +6,14 @@ What's new in v3.1.0
 New Features
 ^^^^^^^^^^^^
 
+- Added additional circuit information that includes the location of corners,
+  marshal lights, marshal sectors and the rotation of the track map. This
+  data is available through :func:`fastf1.core.Session.get_circuit_info`. Also
+  check out the new examples that show how to annotate your plots using this
+  data.
+  A huge thank you to @multiviewer (https://multiviewer.app/) for providing
+  this information through MultiViewer's API.
+
 - "SessionInfo" data from the F1 livetiming API is now available through
   :attr:`fastf1.core.Session.session_info`
 

docs/circuit_info.rst

@@ -0,0 +1,8 @@
+.. _circuit_info:
+
+Circuit Information
+===================
+
+.. autoclass:: fastf1.mvapi.CircuitInfo
+  :members:
+

docs/core.rst

@@ -53,6 +53,13 @@
       :show-inheritance:
 
 
+  CircuitInfo
+  +++++++++++
+
+    .. autoclass:: fastf1.mvapi.data.CircuitInfo
+      :members:
+      :autosummary:
+
 
   Exceptions
   **********

docs/index.rst

@@ -135,6 +135,7 @@ Contents
    events
    api
    ergast
+   circuit_info
    utils
    plotting
    livetiming

examples/plot_annotate_corners.py

@@ -0,0 +1,112 @@
+"""Draw a track map with numbered corners
+=========================================
+
+Use the position data of a single lap to draw a track map.
+Then annotate the map with corner numbers.
+"""
+##############################################################################
+# Import FastF1 and load the data. Use the telemetry from the fastest for the
+# track map. (You could also use any other lap instead.)
+
+import fastf1
+
+import matplotlib.pyplot as plt
+import numpy as np
+
+
+session = fastf1.get_session(2023, 'Silverstone', 'Q')
+session.load()
+
+lap = session.laps.pick_fastest()
+pos = lap.get_pos_data()
+
+circuit_info = session.get_circuit_info()
+
+
+##############################################################################
+# Define a helper function for rotating points around the origin of the
+# coordinate system.
+#
+# The matrix ``[[cos, sin], [-sin, cos]]`` is called a rotation matrix.
+#
+# By matrix multiplication of the rotation matrix with a vector [x, y], a new
+# rotated vector [x_rot, y_rot] is obtained.
+# (See also: https://en.wikipedia.org/wiki/Rotation_matrix)
+
+def rotate(xy, *, angle):
+    rot_mat = np.array([[np.cos(angle), np.sin(angle)],
+                        [-np.sin(angle), np.cos(angle)]])
+    return np.matmul(xy, rot_mat)
+
+
+##############################################################################
+# Get the coordinates of the track map from the telemetry of the lap and
+# rotate the coordinates using the rotation from ``circuit_info`` so that
+# the track map is oriented correctly. After that, plot the rotated track map.
+
+# Get an array of shape [n, 2] where n is the number of points and the second
+# axis is x and y.
+track = pos.loc[:, ('X', 'Y')].to_numpy()
+
+# Convert the rotation angle from degrees to radian.
+track_angle = circuit_info.rotation / 180 * np.pi
+
+# Rotate and plot the track map.
+rotated_track = rotate(track, angle=track_angle)
+plt.plot(rotated_track[:, 0], rotated_track[:, 1])
+
+# sphinx_gallery_defer_figures
+
+
+##############################################################################
+# Finally, the corner markers are plotted. To plot the numbers next to the
+# track, an offset vector that points straight up is defined. This offset
+# vector is then rotated by the angle that is given for each corner marker.
+# A line and circular bubble are drawn and the corner marker text is printed
+# inside the bubble.
+
+offset_vector = [500, 0]  # offset length is chosen arbitrarily to 'look good'
+
+# Iterate over all corners.
+for _, corner in circuit_info.corners.iterrows():
+    # Create a string from corner number and letter
+    txt = f"{corner['Number']}{corner['Letter']}"
+
+    # Convert the angle from degrees to radian.
+    offset_angle = corner['Angle'] / 180 * np.pi
+
+    # Rotate the offset vector so that it points sideways from the track.
+    offset_x, offset_y = rotate(offset_vector, angle=offset_angle)
+
+    # Add the offset to the position of the corner
+    text_x = corner['X'] + offset_x
+    text_y = corner['Y'] + offset_y
+
+    # Rotate the text position equivalently to the rest of the track map
+    text_x, text_y = rotate([text_x, text_y], angle=track_angle)
+
+    # Rotate the center of the corner equivalently to the rest of the track map
+    track_x, track_y = rotate([corner['X'], corner['Y']], angle=track_angle)
+
+    # Draw a circle next to the track.
+    plt.scatter(text_x, text_y, color='grey', s=140)
+
+    # Draw a line from the track to this circle.
+    plt.plot([track_x, text_x], [track_y, text_y], color='grey')
+
+    # Finally, print the corner number inside the circle.
+    plt.text(text_x, text_y, txt,
+             va='center_baseline', ha='center', size='small', color='white')
+
+# sphinx_gallery_defer_figures
+
+
+##############################################################################
+# Add a title, remove tick labels to clean up the plot, set equal axis ratio,
+# so that the track is not distorted and show the plot.
+
+plt.title(session.event['Location'])
+plt.xticks([])
+plt.yticks([])
+plt.axis('equal')
+plt.show()

examples/plot_annotate_speed_trace.py

@@ -0,0 +1,67 @@
+"""Plot speed traces with corner annotations
+============================================
+
+Plot the speed over the course of a lap and add annotations to mark corners.
+"""
+
+
+import matplotlib.pyplot as plt
+
+import fastf1.plotting
+
+
+# enable some matplotlib patches for plotting timedelta values and load
+# FastF1's default color scheme
+fastf1.plotting.setup_mpl(misc_mpl_mods=False)
+
+# load a session and its telemetry data
+session = fastf1.get_session(2021, 'Spanish Grand Prix', 'Q')
+session.load()
+
+##############################################################################
+# First, we select the fastest lap and get the car telemetry data for this
+# lap.
+
+fastest_lap = session.laps.pick_fastest()
+car_data = fastest_lap.get_car_data().add_distance()
+
+##############################################################################
+# Next, load the circuit info that includes the information about the location
+# of the corners.
+
+circuit_info = session.get_circuit_info()
+
+##############################################################################
+# Finally, we create a plot and plot the speed trace as well as the corner
+# markers.
+
+team_color = fastf1.plotting.team_color(fastest_lap['Team'])
+
+fig, ax = plt.subplots()
+ax.plot(car_data['Distance'], car_data['Speed'],
+        color=team_color, label=fastest_lap['Driver'])
+
+# Draw vertical dotted lines at each corner that range from slightly below the
+# minimum speed to slightly above the maximum speed.
+v_min = car_data['Speed'].min()
+v_max = car_data['Speed'].max()
+ax.vlines(x=circuit_info.corners['Distance'], ymin=v_min-20, ymax=v_max+20,
+          linestyles='dotted', colors='grey')
+
+# Plot the corner number just below each vertical line.
+# For corners that are very close together, the text may overlap. A more
+# complicated approach would be necessary to reliably prevent this.
+for _, corner in circuit_info.corners.iterrows():
+    txt = f"{corner['Number']}{corner['Letter']}"
+    ax.text(corner['Distance'], v_min-30, txt,
+            va='center_baseline', ha='center', size='small')
+
+ax.set_xlabel('Distance in m')
+ax.set_ylabel('Speed in km/h')
+ax.legend()
+
+# Manually adjust the y-axis limits to include the corner numbers, because
+# Matplotlib does not automatically account for text that was manually added.
+ax.set_ylim([v_min - 40, v_max + 20])
+
+plt.show()

fastf1/core.py

@@ -52,6 +52,7 @@
 import fastf1
 from fastf1 import _api as api
 from fastf1 import ergast
+from fastf1.mvapi import get_circuit_info, CircuitInfo
 from fastf1.logger import get_logger, soft_exceptions
 from fastf1.utils import to_timedelta
 
@@ -2157,6 +2158,25 @@ def get_driver(self, identifier) -> "DriverResult":
             raise ValueError(f"Invalid driver identifier '{identifier}'")
         return self.results[mask].iloc[0]
 
+    def get_circuit_info(self) -> Optional[CircuitInfo]:
+        """Returns additional information about the circuit that hosts this
+        event.
+
+        This information includes the location of corners, marshal lights,
+        marshal sectors and the rotation of the track map. Note that the data
+        is manually created and therefore not highly accurate, but it is useful
+        for annotating data visualizations.
+
+        See :class:`~fastf1.mvapi.CircuitInfo` for detailed information.
+        """
+        circuit_key = self.session_info['Meeting']['Circuit']['Key']
+        circuit_info = get_circuit_info(year=self.event.year,
+                                        circuit_key=circuit_key)
+        circuit_info.add_marker_distance(
+            reference_lap=self.laps.pick_fastest()
+        )
+        return circuit_info
+
     def _calculate_t0_date(self, car_data, pos_data):
         """Calculate the date timestamp at which data for this session is starting.
 

fastf1/mvapi/__init__.py

@@ -0,0 +1 @@
+from fastf1.mvapi.data import get_circuit_info, CircuitInfo  # noqa F401

fastf1/mvapi/api.py

@@ -0,0 +1,32 @@
+import requests.exceptions
+
+from typing import Optional
+
+from fastf1.mvapi.internals import _logger
+from fastf1.req import Cache
+from fastf1.version import __version__
+
+
+PROTO = "https"
+HOST = "api.multiviewer.app"
+HEADERS = {'User-Agent': f'FastF1/{__version__}'}
+
+
+def _make_url(path: str):
+    return f"{PROTO}://{HOST}{path}"
+
+
+def get_circuit(*, year: int, circuit_key: int) -> Optional[dict]:
+    """:meta private:
+    Request circuit data from the MultiViewer API and return the JSON
+    response."""
+    url = _make_url(f"/api/v1/circuits/{circuit_key}/{year}")
+    response = Cache.requests_get(url, headers=HEADERS)
+    if response.status_code != 200:
+        _logger.debug(f"[{response.status_code}] {response.content.decode()}")
+        return None
+
+    try:
+        return response.json()
+    except requests.exceptions.JSONDecodeError:
+        return None