import scipy.io
import numpy as np



mat = scipy.io.loadmat('C:/Users/OBELAB_JH_DESKTOP/Documents/GitHub/Data_AnalysisTool/ActivationMap/brainmodel.mat')

for i in mat:
    if '__' not in i and 'readme' not in i:
          np.savetxt(("file.csv"),mat[i],delimiter=',')
          
311e6f8499f23c4f7f119b923b73aa946b00fb4c
<mask token>

<mask token>
for i in mat:
    if '__' not in i and 'readme' not in i:
        np.savetxt('file.csv', mat[i], delimiter=',')

<mask token>
mat = scipy.io.loadmat(
    'C:/Users/OBELAB_JH_DESKTOP/Documents/GitHub/Data_AnalysisTool/ActivationMap/brainmodel.mat'
    )
for i in mat:
    if '__' not in i and 'readme' not in i:
        np.savetxt('file.csv', mat[i], delimiter=',')

import scipy.io
import numpy as np
mat = scipy.io.loadmat(
    'C:/Users/OBELAB_JH_DESKTOP/Documents/GitHub/Data_AnalysisTool/ActivationMap/brainmodel.mat'
    )
for i in mat:
    if '__' not in i and 'readme' not in i:
        np.savetxt('file.csv', mat[i], delimiter=',')

import scipy.io
import numpy as np



mat = scipy.io.loadmat('C:/Users/OBELAB_JH_DESKTOP/Documents/GitHub/Data_AnalysisTool/ActivationMap/brainmodel.mat')

for i in mat:
    if '__' not in i and 'readme' not in i:
          np.savetxt(("file.csv"),mat[i],delimiter=',')
          