I have a large dataset in Matlab that I want to convert into a data frame in Python. The dataset is a 1*17 struct (one for each participant in an experiment). Each participant also has a struct with many variables that I am keen to analyze. So I am looking for a solution that helps me do this.
For Python, I found this documentation quite useful: https://docs.scipy.org/doc/scipy/reference/generated/scipy.io.loadmat.html
Using this information I have loaded the .mat file into python with the following code:
from scipy.io import loadmat matlabData = loadmat(r"LPS_IMU_Struct060621_Done.mat") data = matlabData['LPS_Struct'] data.dtype # Which return this information: # dtype([('Name', 'O'), ('Table', 'O'), ('Array', 'O'), ('Time', 'O'), ('IMU_Number', 'O'), ('Cutted_Array', 'O'), ('ArrayRotated', 'O'), ('RunIndex', 'O'), ('Run_New_Index', 'O'), ('ArrayRotatedMoved', 'O'), ('IMU_Table', 'O')])
But I don’t understand what I should do next. A helpful resource I found was this youtube video. But it doesn’t seem to work in my case because I a many structs for each person. Is there a way to solve this problem?
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