what's the problem??????

[נתי שטרן]

CODE:

for nii in os.listdir("c:/users/administrator/desktop/nii"):

    from nilearn import plotting
    from nilearn import datasets
    atlas = datasets.fetch_atlas_msdl()
    # Loading atlas image stored in 'maps'
    atlas_filename = "C:/Users/Administrator/Desktop/64/64/2mm/maps.nii.gz"
    # Loading atlas data stored in 'labels'
    labels = pd.read_csv(
"C:/Users/Administrator/Desktop/64/64/labels_64_dictionary.csv")
    a=labels.to_dict()
    b=a["Difumo_names"]
    from nilearn.maskers import NiftiMapsMasker
    masker = NiftiMapsMasker(maps_img=atlas_filename, standardize=True,
                            memory='nilearn_cache', verbose=5)

    time_series = masker.fit_transform("c:/users/administrator/desktop/nii/"
+nii)
    try:
        from sklearn.covariance import GraphicalLassoCV
    except ImportError:
        # for Scitkit-Learn < v0.20.0
        from sklearn.covariance import GraphLassoCV as GraphicalLassoCV

    estimator = GraphicalLassoCV()
    estimator.fit(time_series)
# Display the covariancec
    aas={}
    jsa=0
    for i in estimator.covariance_:
        r=list(a["Difumo_names"].values())[jsa]
        jsa=jsa+1
        a=dict()


        for x in range(64):
            g=list(a["Difumo_names"].values())[x]

    print(aas)
    t=   nilearn.plotting.plot_img(estimator.covariance_, labels=list(a[
"Difumo_names"].values()),
                        figure=(9, 7), vmax=1, vmin=-1,
                        title='Covariance')# The covariance can be found at
estimator.covariance_

# The covariance can be found at estimator.covariance_
    t2=  nilearn.plotting.plot_matrix(estimator.covariance_, labels=list(a[
"Difumo_names"].values()),
                        figure=(9, 7), vmax=1, vmin=-1,
                        title='Covariance')



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