def get_trip_stop_time_data(self, trip_I, day_start_ut):
to_select = "<STR_LIT>" + str(day_start_ut) + "<STR_LIT>"<EOL>str_to_run = "<STR_LIT>" + to_select + """<STR_LIT>"""<EOL>str_to_run = str_to_run.format(trip_I=trip_I)<EOL>return pd.read_sql_query(str_to_run, self.conn)<EOL>
Obtain from the (standard) GTFS database, trip stop data
(departure time in ut, lat, lon, seq, shape_break) as a pandas DataFrame

Some filtering could be applied here, if only e.g. departure times
corresponding within some time interval should be considered.

Parameters
----------
trip_I : int
    integer index of the trip
day_start_ut : int
    the start time of the day in unix time (seconds)

Returns
-------
df: pandas.DataFrame
    df has the following columns
    'departure_time_ut, lat, lon, seq, shape_break'