old_contents: import pandas as pd
  import matplotlib.pyplot as plt
  
  
  #
  # TODO: Load up the Seeds Dataset into a Dataframe
  # It's located at 'Datasets/wheat.data'
  # 
  # .. your code here ..
  
  wheat_dataset=pd.read_csv('/Users/ADB3HAMADL/Desktop/Anaconda_Packages/DAT210x-master/Module3/Datasets/wheat.data',index_col = 0)
  #
  # TODO: Drop the 'id' feature
  # 
  # .. your code here ..
  
  
  #
  # TODO: Compute the correlation matrix of your dataframe
  # 
  # .. your code here ..
  
  wheat_dataset=wheat_dataset.corr() #creating the correlation matrix for our dataframe
  #
  # TODO: Graph the correlation matrix using imshow or matshow
  # 
  # .. your code here ..
  plt.imshow(wheat_dataset.corr(), cmap=plt.cm.Blues, interpolation='nearest')
  plt.colorbar()
  tick_marks = [i for i in range(len(wheat_dataset.columns))]
  plt.xticks(tick_marks, wheat_dataset.columns, rotation='vertical')
  plt.yticks(tick_marks, wheat_dataset.columns)
  
  plt.show()
  
  
  print(wheat_dataset.corr()) #printing the correlation matrix for our dataframe
new_contents: '''
  author: Lama Hamadeh
  '''
  
  import pandas as pd
  import matplotlib.pyplot as plt
  
  
  #
  # TODO: Load up the Seeds Dataset into a Dataframe
  # It's located at 'Datasets/wheat.data'
  # 
  # .. your code here ..
  
  wheat_dataset=pd.read_csv('/Users/ADB3HAMADL/Desktop/Anaconda_Packages/DAT210x-master/Module3/Datasets/wheat.data',index_col = 0)
  #
  # TODO: Drop the 'id' feature
  # 
  # .. your code here ..
  
  
  #
  # TODO: Compute the correlation matrix of your dataframe
  # 
  # .. your code here ..
  
  wheat_dataset=wheat_dataset.corr() #creating the correlation matrix for our dataframe
  #
  # TODO: Graph the correlation matrix using imshow or matshow
  # 
  # .. your code here ..
  plt.imshow(wheat_dataset.corr(), cmap=plt.cm.Blues, interpolation='nearest')
  plt.colorbar()
  tick_marks = [i for i in range(len(wheat_dataset.columns))]
  plt.xticks(tick_marks, wheat_dataset.columns, rotation='vertical')
  plt.yticks(tick_marks, wheat_dataset.columns)
  
  plt.show()
  
  
  print(wheat_dataset.corr()) #printing the correlation matrix for our dataframe
  
subject: Update assignment6.py