separator = "-" * 80
# which subject to work on?
subid = "sub005"
# work on results from this subject:
########################################
print (separator)
print ("Project-Zeta: use times series to study ds105 dataset")
print (separator)
print ("Focus on %s for the analysis" % subid)
print (separator)
sub = sc.subject(subid)
# get image files of this subject:
sub_img = sub.run_img_result
# get data for those figures
print ("Get data from images...")
sub_data = {}
for key, img in sub_img.iteritems():
sub_data[key] = img.get_data()
print ("Complete!")
print (separator)
brain1 = sub_data["sub005_run001"]
x1 = copy.deepcopy(sub_data)
maskedDict, volDict = msk.generateMaskedBrain(x1)
slice_number = 32
# separator:
separator = "-" * 70
# work on subject 1
####################
print(separator)
print("Project-Zeta: use linear regression to study ds105 dataset")
print(separator)
print("Focus on Sub001 for the analysis")
print(separator)
sub1 = sc.subject("sub001")
# get image files for subject 1
sub1_img = sub1.run_img_result
# report keys of all images:
print("import sub001 images")
print(separator)
print("These images are imported:")
img_key = sub1_img.keys()
img_key.sort()
for i in img_key:
print(i)
print(separator)
