new_contents: import numpy as np
  import matplotlib.pyplot as plt
  import nibabel as nib
  
  def pull3D(vector):
  	img = nib.load('bold.nii')
  	data = img.get_data()
  	Three_D_Data = []
  	for i in range(0, len(vector)):
  		if vector[i] == 1:
  			Three_D_Data.append(data[:, :, :, i])
  	return Three_D_Data
  
  def ShowCortex(ListOf3dImages):
  	for image in ListOf3dImages:
  		zDimension = np.shape(image)[2]
  		for i in range(0, zDimension):
  			plt.imshow(image[:, :, i], cmap = "gray")
  			plt.show()
  
  # You'll have to guess the Z value from the images show in the previous function
  def generateEvenlySpacedZpoints(zValue):
  	return np.linspace(start = 0, stop = zValue, num = zValue)
  
subject: Create ObtainData.py