I want to set dict
בתאריך יום ד׳, 13 ביולי 2022, 20:47, מאת נתי שטרן <nsh...@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>
>
--
https://mail.python.org/mailman/listinfo/python-list
