System in Analysis

The complete example code is available here.
The mechanical powertrain to be studied is the one described in the 1 - Simple Powertrain example.
We want to export the computed time variables to some files in order to save and analyze them afterward.

Time Variables Export

After running the simulation, we can export the time variables of each rotating object in the powertrain with:

powertrain.export_time_variables(folder_path = 'data')

See Powertrain.export_time_variables for more details on method parameters.
and write the name of the folder in which to save the files, 'data' in this case. In that folder gearpy saves a file for each rotating object in the powertrain, and it uses the name of the rotating object to name the file.
We can open and analyze these file with pandas, which is a dependency of gearpy, so it is already installed:

import os
import pandas as pd

motor_data = pd.read_csv(os.path.join('data', 'motor.csv'))

print(motor_data.head(11).to_string())

    time (sec)  angular position (rad)  angular speed (rad/s)  angular acceleration (rad/s^2)  torque (Nm)  driving torque (Nm)  load torque (Nm)  pwm
0          0.0                0.000000               0.000000                      608.727069     0.007142             0.010000          0.002858    1
1          0.5              152.181767             304.363535                      443.582951     0.005205             0.008062          0.002858    1
2          1.0              415.259272             526.155010                      323.241473     0.003793             0.006650          0.002858    1
3          1.5              759.147146             687.775747                      235.547939     0.002764             0.005621          0.002858    1
4          2.0             1161.922004             805.549716                      171.645151     0.002014             0.004872          0.002858    1
5          2.5             1607.608149             891.372292                      125.078819     0.001468             0.004325          0.002858    1
6          3.0             2084.564000             953.911701                       91.145662     0.001069             0.003927          0.002858    1
7          3.5             2584.306266             999.484532                       66.418373     0.000779             0.003637          0.002858    1
8          4.0             3100.653125            1032.693719                       48.399454     0.000568             0.003426          0.002858    1
9          4.5             3629.099848            1056.893446                       35.268964     0.000414             0.003272          0.002858    1
10         5.0             4166.363812            1074.527928                       25.700699     0.000302             0.003159          0.002858    1

We have printed only the first eleven rows of the file.
We can see that there is a column for each available time variable and each row is a simulated time step.