continue
offset = day.df_test_flight_history["arrival_airport_timezone_offset"][
f_id]
if offset > 0:
offset_str = "+" + str(offset)
else:
offset_str = str(offset)
gate_str = flighthistoryevents.get_estimated_gate_arrival_string(
row["data_updated"])
if gate_str:
day.df_test_flight_history["estimated_gate_arrival"][f_id] = parse(
gate_str + offset_str)
runway_str = flighthistoryevents.get_estimated_runway_arrival_string(
row["data_updated"])
if runway_str:
day.df_test_flight_history["estimated_runway_arrival"][
f_id] = parse(runway_str + offset_str)
for i, row in day.df_test_flight_history.iterrows():
day.df_predictions["actual_runway_arrival"][
i] = bu.get_estimated_arrival(row, "runway", day.cutoff_time)
day.df_predictions["actual_gate_arrival"][
i] = bu.get_estimated_arrival(row, "gate", day.cutoff_time)
return day.df_predictions
if __name__ == "__main__":
process_test_set_scaffold.process_test_set(
process_day, "estimated_arrival_benchmark.csv")
converters={"date_time_recorded": tu.parse_datetime_format6})
df_fhe = df_fhe.sort("date_time_recorded")
for i, row in df_fhe.iterrows():
f_id = row["flight_history_id"]
if f_id not in day.df_test_flight_history.index:
continue
if type(row["data_updated"]) != str:
continue
offset = day.df_test_flight_history["arrival_airport_timezone_offset"][f_id]
if offset>0:
offset_str = "+" + str(offset)
else:
offset_str = str(offset)
gate_str = flighthistoryevents.get_estimated_gate_arrival_string(row["data_updated"])
if gate_str:
day.df_test_flight_history["estimated_gate_arrival"][f_id] = parse(gate_str+offset_str)
runway_str = flighthistoryevents.get_estimated_runway_arrival_string(row["data_updated"])
if runway_str:
day.df_test_flight_history["estimated_runway_arrival"][f_id] = parse(runway_str+offset_str)
for i, row in day.df_test_flight_history.iterrows():
day.df_predictions["actual_runway_arrival"][i] = get_estimated_arrival(row, "runway", day.midnight_time)
day.df_predictions["actual_gate_arrival"][i] = get_estimated_arrival(row, "gate", day.midnight_time)
return day.df_predictions
if __name__=="__main__":
process_test_set_scaffold.process_test_set(process_day,
"only_estimated_arrival_benchmark.csv")
from geflight.benchmark import utilities as bu
from geflight.benchmark import process_test_set_scaffold
def process_day(day):
for i, row in day.df_test_flight_history.iterrows():
day.df_predictions["actual_runway_arrival"][
i] = bu.get_scheduled_arrival(row, "runway", day.cutoff_time)
day.df_predictions["actual_gate_arrival"][
i] = bu.get_scheduled_arrival(row, "gate", day.cutoff_time)
return day.df_predictions
if __name__ == "__main__":
process_test_set_scaffold.process_test_set(
process_day, "scheduled_arrival_benchmark.csv")
from geflight.benchmark import process_test_set_scaffold
def process_day(day):
for i in day.df_predictions.index:
day.df_predictions["actual_runway_arrival"] = day.cutoff_time
day.df_predictions["actual_gate_arrival"] = day.cutoff_time
return day.df_predictions
if __name__ == "__main__":
process_test_set_scaffold.process_test_set(process_day, "cutoff_benchmark.csv")
from geflight.benchmark import utilities as bu
from geflight.benchmark import process_test_set_scaffold
def process_day(day):
for i, row in day.df_test_flight_history.iterrows():
day.df_predictions["actual_runway_arrival"][i] = bu.get_scheduled_arrival(row, "runway", day.cutoff_time)
day.df_predictions["actual_gate_arrival"][i] = bu.get_scheduled_arrival(row, "gate", day.cutoff_time)
return day.df_predictions
if __name__=="__main__":
process_test_set_scaffold.process_test_set(process_day,
"scheduled_arrival_benchmark.csv")
