old_contents: import pandas as pd
  import matplotlib.pyplot as plt
  import matplotlib
  from pandas.tools.plotting import parallel_coordinates
  
  # Look pretty...
  matplotlib.style.use('ggplot')
  
  
  #
  # 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)
  #print(wheat_dataset)
  #
  # TODO: Drop the 'id', 'area', and 'perimeter' feature
  # 
  # .. your code here .
  
  #New_wheat_dataset=wheat_dataset.drop(wheat_dataset.columns[[0,1]], axis=1) #deleting columns by indeices
  '''
  wheat_dataset.set_index('id', inplace=True)
  
  wheat_dataset = wheat_dataset.rename_axis(None)
  
  
  New_wheat_dataset=wheat_dataset.drop(['area', 'perimeter'], axis=1) #deleting columns by labels
  
  print(New_wheat_dataset)
  '''
  New_wheat_dataset=wheat_dataset.drop(['area', 'perimeter'], axis=1) #deleting columns by labels
  #
  # TODO: Plot a parallel coordinates chart grouped by
  # the 'wheat_type' feature. Be sure to set the optional
  # display parameter alpha to 0.4
  # 
  # .. your code here ..
  
  
  # Load up SKLearn's Iris Dataset into a Pandas Dataframe
  data = load_iris()
  
  # Parallel Coordinates Start Here:
  plt.figure()
  parallel_coordinates(New_wheat_dataset, 'wheat_type',alpha= 0.4)
  plt.show()
  
  
  
new_contents: import pandas as pd
  import matplotlib.pyplot as plt
  import matplotlib
  from pandas.tools.plotting import parallel_coordinates
  
  # Look pretty...
  matplotlib.style.use('ggplot')
  
  
  #
  # 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)
  #print(wheat_dataset)
  #
  # TODO: Drop the 'id', 'area', and 'perimeter' feature
  # 
  # .. your code here .
  
  wheat_dataset = wheat_dataset.reset_index(drop=True)
  
  New_wheat_dataset=wheat_dataset.drop(['area', 'perimeter'], axis=1) #deleting columns by labels
  
  #New_wheat_dataset=wheat_dataset.drop(wheat_dataset.columns[[0,1]], axis=1) #deleting columns by indeices
  #
  # TODO: Plot a parallel coordinates chart grouped by
  # the 'wheat_type' feature. Be sure to set the optional
  # display parameter alpha to 0.4
  # 
  # .. your code here ..
  
  
  # Load up SKLearn's Iris Dataset into a Pandas Dataframe
  data = load_iris()
  
  # Parallel Coordinates Start Here:
  plt.figure()
  parallel_coordinates(New_wheat_dataset, 'wheat_type',alpha= 0.4)
  plt.show()
  
  
  
subject: Update assignment4.py