what's the problem??????

[נתי שטרן]

I want to set dict

בתאריך יום ד׳, 13 ביולי 2022, 20:47, מאת נתי שטרן ‏<nsh531 at gmail.com>:

> 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')
>
>
>
> --
> <https://netanel.ml>
>