Edit timestamped gaze positions =============================== Whatever eye data comes from a file on disk or from a live stream, timestamped gaze positions are required before to go further. ![Timestamped gaze positions](../../img/timestamped_gaze_positions.png) ## Import timestamped gaze positions from CSV file It is possible to load timestamped gaze positions from a [Pandas DataFrame](https://pandas.pydata.org/docs/getting_started/intro_tutorials/01_table_oriented.html#min-tut-01-tableoriented) object which can be loaded from a CSV file. ```python from argaze import GazeFeatures import pandas # Load gaze positions from a CSV file into Panda Dataframe dataframe = pandas.read_csv('gaze_positions.csv', delimiter=",", low_memory=False) # Convert Panda dataframe into timestamped gaze positions precising the use of each specific column labels ts_gaze_positions = GazeFeatures.TimeStampedGazePositions.from_dataframe(dataframe, timestamp = 'Recording timestamp [ms]', x = 'Gaze point X [px]', y = 'Gaze point Y [px]') # Iterate over timestamped gaze positions for timestamped_gaze_position in ts_gaze_positions: # Do something with each timestamped gaze position ... ``` ## Edit timestamped gaze positions from live stream When gaze positions comes from a real time input, gaze position can be edited thanks to [GazePosition](../../argaze.md/#argaze.GazeFeatures.GazePosition) class. Besides, timestamps can be edited from the incoming data stream or, if not available, they can be edited thanks to the python [time package](https://docs.python.org/3/library/time.html). ``` python from argaze import GazeFeatures # Assuming to be inside the function where timestamp_µs, gaze_x and gaze_y values are catched ... # Define a timestamped gaze position converting microsecond timestamp into second timestamp timestamped_gaze_position = GazeFeatures.GazePosition((gaze_x, gaze_y), timestamp=timestamp_µs * 1e-6) # Do something with each timestamped gaze position ... ``` ``` python from argaze import GazeFeatures import time # Init timestamp start_time = time.time() # Assuming to be inside the function where only gaze_x and gaze_y values are catched (no timestamp) ... # Define a timestamped gaze position with millisecond timestamp timestamped_gaze_position = GazeFeatures.GazePosition((gaze_x, gaze_y), timestamp=int((time.time() - start_time) * 1e3)) # Do something with each timestamped gaze position ... ``` !!! warning "Free time unit" Timestamps can either be integer or float, second, millisecond or what ever you need. The only concern is that all time values used in further configurations have to be all the same unit. Now we have timestamped gaze positions at expected format, let's see how to analyze them.