my name is Patrick and i'm a PHD-Student from Germany. I try to combine the musculoskeletal sim OpenSim with a Finite Elemente Analysis software to design optimized orthosis. Both software has a Python API. Unfortunately, i didn't get OpenSim to run properly. I can call different OpenSim functions from the C++/Python Wrapper. But the provided Full Body Model from Apoorva Rajagopal et al. doesn't work, even if i update the outdated syntax Python 2 to 3. It even starts and i get different results, but it stucks on several positions during calculation. The very first problem is, that it obviously finds no vtp (e. g. [warning] Couldn't find file 'r_patella.vtp'.) Don't know why. Next, the validitionPlots_emg_walk.py doesn't plot anything. And the validationPlots_id_walk.py is completly broken. I would be really grateful if someone could send me a working gait project or at least something workable from the femular downwards.
I use PyCharm and the Conda library:
Here is the Error Code that i got.
Code: Select all
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\interpDFrame.py:41: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`
dfInterp[colName] = colInterp
Traceback (most recent call last):
File "G:\2_Projekte\DFG_Orthese\MORtheses\SimulationDataAndSetupFiles-4.0\Python\runAll.py", line 6, in <module>
exec(open('validationPlots_emg_walk.py').read())
File "<string>", line 40, in <module>
File "C:\ProgramData\Anaconda3\envs\MORtheses\lib\site-packages\pandas\core\frame.py", line 3767, in __getitem__
indexer = self.columns._get_indexer_strict(key, "columns")[1]
File "C:\ProgramData\Anaconda3\envs\MORtheses\lib\site-packages\pandas\core\indexes\base.py", line 5877, in _get_indexer_strict
self._raise_if_missing(keyarr, indexer, axis_name)
File "C:\ProgramData\Anaconda3\envs\MORtheses\lib\site-packages\pandas\core\indexes\base.py", line 5938, in _raise_if_missing
raise KeyError(f"None of [{key}] are in the [{axis_name}]")
KeyError: "None of [Index(['glmax1_r/activation', 'glmax2_r/activation', 'glmax3_r/activation'], dtype='object')] are in the [columns]"Thank you in advance.
Patrick