本文整理汇总了Python中common.PostProcess类的典型用法代码示例。如果您正苦于以下问题:Python PostProcess类的具体用法?Python PostProcess怎么用?Python PostProcess使用的例子?那么, 这里精选的类代码示例或许可以为您提供帮助。
在下文中一共展示了PostProcess类的15个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
def main():
mat_file_name = sys.argv[1]
limits_dict, filter = read_limits()
filter.append('SpeedSensor.v')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
# No need to convert values into string that is done in update_metrics_in_report_json
metrics.update({'MaximumSpeed' : {'value': pp.global_max('SpeedSensor.v'), 'unit': 'm/s'}})
cwd = os.getcwd()
os.chdir('..')
update_metrics_in_report_json(metrics)
check_limits_and_add_to_report_json(pp, limits_dict)
os.chdir(cwd)
示例2: main
def main():
mat_file_name = sys.argv[1]
limits_dict, filter = read_limits()
filter.append("SpeedSensor.v")
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
# No need to convert values into string that is done in update_metrics_in_report_json
metrics.update({"MaxSpeed": {"value": pp.global_abs_max("SpeedSensor.v"), "unit": "m/s"}})
cwd = os.getcwd()
os.chdir("..")
update_metrics_in_report_json(metrics)
check_limits_and_add_to_report_json(pp, limits_dict)
os.chdir(cwd)
示例3: read_limits
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print "Given result file does not exist: {0}".format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append("road_Wheel_Load_Both_Sides.vehicleSpeed")
filter.append("road_Wheel_Load_Both_Sides.Accel_20kph")
filter.append("design_v1.EngineHeatPort.T")
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
metrics.update(
{"MaxVehicleSpeed": {"value": pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"), "unit": "kph"}}
)
metrics.update({"Acc20kph": {"value": pp.last_value("road_Wheel_Load_Both_Sides.Accel_20kph"), "unit": "s"}})
metrics.update(
{"EngineTemperature": {"value": pp.last_value("design_v1.EngineHeatPort.T") - 273.15, "unit": "C"}}
)
cwd = os.getcwd()
os.chdir("..")
update_metrics_in_report_json(metrics)
## end of postprocessing part
示例4: read_limits
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print "Given result file does not exist: {0}".format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append("road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed")
filter.append("road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph")
filter.append("design_v1.EngineHeatPort.T")
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
metrics.update(
{
"MaxVehicleSpeed": {
"value": pp.global_abs_max(
"road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed"
),
"unit": "kph",
}
}
)
metrics.update(
{
"Acc20kph": {
示例5: main
def main():
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
raise IOError("Given result file does not exist: {0}".format(sys.argv[1]))
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
bucketCylLength_uri = "Excavator_.bucketCylLength_unit"
filter.append(bucketCylLength_uri)
armCylLength_uri = "Excavator_.armCylLength_unit"
filter.append(armCylLength_uri)
boomCylLength_uri = "Excavator_.boomCylLength_unit"
filter.append(boomCylLength_uri)
boomCylRPressure_uri = "Excavator_.boomCylLPressure_a"
filter.append(boomCylRPressure_uri)
armCylPressure_uri = "Excavator_.armCylPressure_a"
filter.append(armCylPressure_uri)
bucketCylPressure_uri = "Excavator_.bucketCylPressure_a"
filter.append(bucketCylPressure_uri)
arm_ang_vel_uri = "Excavator_.arm_ang_vel"
filter.append(arm_ang_vel_uri)
max_Y_uri = "Excavator_.yDistance"
filter.append(max_Y_uri)
max_reach_uri = "Excavator_.xDistance"
filter.append(max_reach_uri)
State_uri = "operator_Full.State_1"
filter.append(State_uri)
tip_uri = "Excavator_.tipping_torque"
filter.append(tip_uri)
deflection_uri = "Excavator_.yDistance"
filter.append(deflection_uri)
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
max_p_time = pp.global_max_time(boomCylRPressure_uri)
max_v_time = pp.global_max_time(arm_ang_vel_uri)
# max_p_time = pp.global_max_time(armCylPressure_uri)
# max_p_time = pp.global_max_time(bucketCylPressure_uri)
print "Maximum pressure obtained at : {0}".format(max_p_time)
print "Max tip torque : {0}".format(pp.global_abs_max(tip_uri))
y_deflection = pp.get_data_by_index(deflection_uri, 0) - pp.last_value(deflection_uri)
metrics = {}
metrics.update(
{
"bucketCylLength_unit": {"value": pp.get_data_by_time(bucketCylLength_uri, max_p_time)[0], "unit": "m"},
"boomCylLength_unit": {"value": pp.get_data_by_time(boomCylLength_uri, max_p_time)[0], "unit": "m"},
"armCylLength_unit": {"value": pp.get_data_by_time(armCylLength_uri, max_p_time)[0], "unit": "m"},
"bucketCylPressure": {"value": pp.global_abs_max(bucketCylPressure_uri) * 0.00001, "unit": "bar"},
"boomCylRPressure": {"value": pp.global_abs_max(boomCylRPressure_uri) * 0.00001, "unit": "bar"},
"armCylPressure": {"value": pp.global_abs_max(armCylPressure_uri) * 0.00001, "unit": "bar"},
"tipTorque": {"value": pp.global_abs_max(tip_uri), "unit": "N-m"},
"y_deflection": {"value": y_deflection, "unit": "m"},
#'swing_speed': {'value': pp.last_value(swing_uri), 'unit':'rad/s'},
}
)
cwd = os.getcwd()
os.chdir("..")
# print 'Plot saved to : {0}'.format(pp.save_as_svg(vehicle_speed,
# pp.global_abs_max(vehicle_speed),
# 'VehicleSpeed',
# 'max(FTP_Driver.driver_bus.vehicle_speed)',
# 'kph'))
dur = 100
pp.store_data_to_csv(bucketCylLength_uri, "{0}.csv".format(bucketCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(armCylLength_uri, "{0}.csv".format(armCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(boomCylLength_uri, "{0}.csv".format(boomCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(boomCylRPressure_uri, "{0}.csv".format(boomCylRPressure_uri), 0, 0.1, dur)
pp.store_data_to_csv(arm_ang_vel_uri, "{0}.csv".format(arm_ang_vel_uri), 0, 0.1, dur)
pp.store_data_to_csv(max_Y_uri, "{0}.csv".format(max_Y_uri), 0, 0.1, dur)
pp.store_data_to_csv(max_reach_uri, "{0}.csv".format(max_reach_uri), 0, 0.1, dur)
pp.store_data_to_csv(State_uri, "{0}.csv".format(State_uri), 0, 0.1, dur)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
update_metrics_in_report_json(metrics)
## end of Second limit part
os.chdir(cwd)
示例6: main
def main():
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
raise IOError('Given result file does not exist: {0}'.format(sys.argv[1]))
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
bucketCylLength_uri = 'Excavator_.bucketCylLength_unit'
filter.append(bucketCylLength_uri)
armCylLength_uri = 'Excavator_.armCylLength_unit'
filter.append(armCylLength_uri)
boomCylLength_uri = 'Excavator_.boomCylLength_unit'
filter.append(boomCylLength_uri)
boomCylRPressure_uri = 'Excavator_.boomCylLPressure_a'
filter.append(boomCylRPressure_uri)
armCylPressure_uri = 'Excavator_.armCylPressure_a'
filter.append(armCylPressure_uri)
bucketCylPressure_uri = 'Excavator_.bucketCylPressure_a'
filter.append(bucketCylPressure_uri)
arm_ang_vel_uri = 'Excavator_.arm_ang_vel'
filter.append(arm_ang_vel_uri)
max_Y_uri = 'Excavator_.yDistance'
filter.append(max_Y_uri)
max_reach_uri = 'Excavator_.xDistance'
filter.append(max_reach_uri)
State_uri = 'operator_Full.State_1'
filter.append(State_uri)
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
max_p_time = pp.global_max_time(boomCylRPressure_uri)
max_v_time = pp.global_max_time(arm_ang_vel_uri)
#max_p_time = pp.global_max_time(armCylPressure_uri)
#max_p_time = pp.global_max_time(bucketCylPressure_uri)
print 'Maximum pressure obtained at : {0}'.format(max_p_time)
print 'Maximum velocity obtained at : {0}'.format(max_v_time)
print 'Maximum Reach obtained at : {0}'.format(pp.global_max_time(max_reach_uri))
print 'Max reach is : {0}'.format(pp.global_max(max_reach_uri))
time = pp.get_time(State_uri,2)
print 'First entry of State 2 at : {0}'.format(time)
index = pp.get_index_from_time(time)
print 'first entry of state2 index : {0}'.format(index)
time2 = pp.get_time(State_uri, 4)
print 'Exit of state 2 at : {0}'.format(time2)
index2 = pp.get_index_from_time(time2)
print 'Exit of state 2 index : {0}'.format(index2)
time3 = pp.get_time(State_uri,2,1e-4,1e-4,index2+1)
print '2nd entry of state 2 : {0}'.format(time3)
index3 = pp.get_index_from_time(time3)
print 'index of second entry of state 2 : {0}'.format(index3)
dt = pp.delta_t(index, index3)
print 'Cycle Time : {0}'.format(dt)
initTime = pp.get_index_from_time(1)
armPressure = pp.get_local_max(armCylPressure_uri,initTime,-1)*0.00001
print 'arm Pressure : {0}'.format(armPressure)
metrics = {}
metrics.update({'bucketCylLength_unit': {'value': pp.get_data_by_time(bucketCylLength_uri, max_p_time)[0], 'unit': 'm'},
'boomCylLength_unit': {'value': pp.get_data_by_time(boomCylLength_uri, max_p_time)[0], 'unit': 'm'},
'armCylLength_unit': {'value': pp.get_data_by_time(armCylLength_uri, max_p_time)[0], 'unit': 'm'},
'bucketCylPressure': {'value': pp.global_abs_max(bucketCylPressure_uri)*0.00001, 'unit': 'bar'},
'boomCylRPressure': {'value': pp.global_abs_max(boomCylRPressure_uri)*0.00001, 'unit': 'bar'},
'armCylPressure': {'value': armPressure, 'unit': 'bar'},
'arm_angVel' : {'value': pp.global_abs_max(arm_ang_vel_uri), 'unit':'rads/s'},
'max_reach':{'value':pp.global_max(max_reach_uri),'unit':'m'},
'max_high_reach' : {'value': pp.global_max(max_Y_uri), 'unit':'m'},
'max_low_reach': {'value': pp.global_min(max_Y_uri), 'unit':'m'},
'cycle_time': {'value': dt, 'unit':'s'},
#'swing_speed': {'value': pp.last_value(swing_uri), 'unit':'rad/s'},
})
cwd = os.getcwd()
os.chdir('..')
# print 'Plot saved to : {0}'.format(pp.save_as_svg(vehicle_speed,
# pp.global_abs_max(vehicle_speed),
# 'VehicleSpeed',
# 'max(FTP_Driver.driver_bus.vehicle_speed)',
# 'kph'))
dur = 100
pp.store_data_to_csv(bucketCylLength_uri, '{0}.csv'.format(bucketCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(armCylLength_uri, '{0}.csv'.format(armCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(boomCylLength_uri, '{0}.csv'.format(boomCylLength_uri), 0, 0.1, dur)
pp.store_data_to_csv(boomCylRPressure_uri, '{0}.csv'.format(boomCylRPressure_uri), 0, 0.1, dur)
pp.store_data_to_csv(arm_ang_vel_uri, '{0}.csv'.format(arm_ang_vel_uri), 0, 0.1, dur)
pp.store_data_to_csv(max_Y_uri, '{0}.csv'.format(max_Y_uri), 0, 0.1, dur)
pp.store_data_to_csv(max_reach_uri, '{0}.csv'.format(max_reach_uri), 0, 0.1, dur)
#.........这里部分代码省略.........
示例7: len
if __name__ == '__main__':
if len(sys.argv) > 1:
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('road_Wheel_Load_Both_Sides.vehicleSpeed')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
#pressure_variable_name = [var_name for var_name in filter if var_name.endswith('hot_fluid_out.p')][0]
metrics = {}
metrics.update({'VehicleSpeed': {'value': pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"), 'unit': 'kph'}})
#metrics.update({'EngineAirPressure': {'value': pp.last_value(pressure_variable_name), 'unit': 'Pascal'}})
cwd = os.getcwd()
os.chdir('..')
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part
os.chdir(cwd)
示例8: len
import os
from common import PostProcess, update_metrics_in_report_json, read_limits, check_limits_and_add_to_report_json
if __name__ == '__main__':
if len(sys.argv) > 1:
try:
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
limits_dict, filter = read_limits()
filter.append('SpeedSensor.v')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
# No need to convert values into string that is done in update_metrics_in_report_json
metrics.update({'Velocity' : {'value': pp.global_abs_max('SpeedSensor.v'), 'unit': 'm/s'}})
cwd = os.getcwd()
os.chdir('..')
update_metrics_in_report_json(metrics)
check_limits_and_add_to_report_json(pp, limits_dict)
os.chdir(cwd)
except Exception as err:
print err.message
if os.name == 'nt':
import win32api
示例9: read_limits
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('road_Wheel_Load_Both_Sides.vehicleSpeed')
filter.append('road_Wheel_Load_Both_Sides.Accel_20kph')
filter.append('road_Wheel_Load_Both_Sides.Accel_40kph')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
#pressure_variable_name = [var_name for var_name in filter if var_name.endswith('hot_fluid_out.p')][0]
metrics = {}
metrics.update({'VehicleSpeed': {'value': pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"), 'unit': 'kph'}})
metrics.update({'Acc20kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.Accel_20kph'), 'unit': 's'}})
metrics.update({'Acc40kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.Accel_40kph'), 'unit': 's'}})
#metrics.update({'EngineAirPressure': {'value': pp.last_value(pressure_variable_name), 'unit': 'Pascal'}})
cwd = os.getcwd()
os.chdir('..')
print 'Plot saved to : {0}'.format(pp.save_as_svg('road_Wheel_Load_Both_Sides.vehicleSpeed',
pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"),
'VehicleSpeed',
'max(road_Wheel_Load_Both_Sides.vehicleSpeed)',
'km/h'))
print 'Plot saved to : {0}'.format(pp.save_as_svg('road_Wheel_Load_Both_Sides.Accel_20kph',
示例10: read_limits
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed')
filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph')
filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_40kph')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
#pressure_variable_name = [var_name for var_name in filter if var_name.endswith('hot_fluid_out.p')][0]
metrics = {}
metrics.update({'VehicleSpeed': {'value': pp.global_abs_max("road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed"), 'unit': 'kph'}})
metrics.update({'Acc20kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph'), 'unit': 's'}})
metrics.update({'Acc40kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_40kph'), 'unit': 's'}})
#metrics.update({'EngineAirPressure': {'value': pp.last_value(pressure_variable_name), 'unit': 'Pascal'}})
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part
示例11: len
import os
from common import PostProcess, update_metrics_in_report_json, read_limits, check_limits_and_add_to_report_json
if __name__ == '__main__':
if len(sys.argv) > 1:
try:
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
limits_dict, filter = read_limits()
filter.append('VoltageSensor.v')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
# No need to convert values into string that is done in update_metrics_in_report_json
metrics.update({'VoltageOverInductor' : {'value': pp.global_max('VoltageSensor.v'), 'unit': 'V'}})
cwd = os.getcwd()
os.chdir('..')
update_metrics_in_report_json(metrics)
check_limits_and_add_to_report_json(pp, limits_dict)
os.chdir(cwd)
except Exception as err:
print err.message
if os.name == 'nt':
import win32api
示例12: read_limits
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed')
filter.append('driver_Land_Profile.ModelicaModel_Driver_Land_Profile.driver_control.error_current.y')
filter.append('driver_Land_Profile.ModelicaModel_Driver_Land_Profile.driver_control.error_current.u2')
#filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_40kph')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
t = pp.time
# Liters of fuel used per 100km
volume_var_name = [var_name for var_name in filter if var_name.endswith('tank.V')][0]
volume = pp.data_array(volume_var_name)
fuel_used = (volume[0] - volume[-1])*1000
distance_covered_m = pp.integrate('driver_Land_Profile.ModelicaModel_Driver_Land_Profile.driver_control.error_current.u2')
if distance_covered_m != 0:
fuel_consumption = fuel_used/(distance_covered_m*1000*100)
else:
fuel_consumption = -1
#vehicle_speed_SI = pp.data_array('driver_Land_Profile.ModelicaModel_Driver_Land_Profile.driver_control.error_current.u2')
# Deviation from requested speed
e = pp.data_array('driver_Land_Profile.ModelicaModel_Driver_Land_Profile.driver_control.error_current.y')
示例13: len
import os
from common import PostProcess, update_metrics_in_report_json, read_limits, check_limits_and_add_to_report_json
if __name__ == '__main__':
if len(sys.argv) > 1:
try:
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
limits_dict, filter = read_limits()
filter.append('VoltageSensor.v')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
# No need to convert values into string that is done in update_metrics_in_report_json
metrics.update({'VoltageOverInductor' : {'value': pp.global_max('VoltageSensor.v'), 'unit': 'Volt'}})
metrics.update({'VoltageOverInductor10' : {'value': pp.global_max('VoltageSensor.v') * 10, 'unit': 'deciVolt'}})
metrics.update({'VoltageOverInductor100' : {'value': pp.global_max('VoltageSensor.v') * 100, 'unit': 'centiVolt'}})
cwd = os.getcwd()
os.chdir('..')
update_metrics_in_report_json(metrics)
check_limits_and_add_to_report_json(pp, limits_dict)
os.chdir(cwd)
except Exception as err:
print err.message
if os.name == 'nt':
示例14: read_limits
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print "Given result file does not exist: {0}".format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append("road_Wheel_Load_Both_Sides.vehicleSpeed")
filter.append("road_Wheel_Load_Both_Sides.Accel_20kph")
filter.append("road_Wheel_Load_Both_Sides.Accel_40kph")
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
# pressure_variable_name = [var_name for var_name in filter if var_name.endswith('hot_fluid_out.p')][0]
metrics = {}
metrics.update(
{"VehicleSpeed": {"value": pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"), "unit": "kph"}}
)
metrics.update({"Acc20kph": {"value": pp.last_value("road_Wheel_Load_Both_Sides.Accel_20kph"), "unit": "s"}})
metrics.update({"Acc40kph": {"value": pp.last_value("road_Wheel_Load_Both_Sides.Accel_40kph"), "unit": "s"}})
# metrics.update({'EngineAirPressure': {'value': pp.last_value(pressure_variable_name), 'unit': 'Pascal'}})
cwd = os.getcwd()
os.chdir("..")
print "Plot saved to : {0}".format(
pp.save_as_svg(
"road_Wheel_Load_Both_Sides.vehicleSpeed",
pp.global_abs_max("road_Wheel_Load_Both_Sides.vehicleSpeed"),
示例15: read_limits
mat_file_name = sys.argv[1]
if not os.path.exists(mat_file_name):
print 'Given result file does not exist: {0}'.format(sys.argv[1])
os._exit(3)
## First limit part
limit_dict, filter = read_limits()
## End of first limit part
## Post processing part
filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed')
filter.append('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph')
filter.append('design_v1.EngineHeatPort.T')
# loads results with the filtered out variables (and 'time' which is default)
pp = PostProcess(mat_file_name, filter)
metrics = {}
metrics.update({'MaxVehicleSpeed': {'value': pp.global_abs_max("road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.vehicleSpeed"), 'unit': 'kph'}})
metrics.update({'Acc20kph': {'value': pp.last_value('road_Wheel_Load_Both_Sides.ModelicaModel_road_Wheel_Load_Both_Sides.Accel_20kph'), 'unit': 's'}})
metrics.update({'EngineTemperature': {'value': pp.last_value('design_v1.EngineHeatPort.T') - 273.15, 'unit': 'C'}})
update_metrics_in_report_json(metrics)
## end of postprocessing part
## Second limit part
check_limits_and_add_to_report_json(pp, limit_dict)
## end of Second limit part