old_contents: import pandas as pd
  import matplotlib.pyplot as plt
  import matplotlib
  
  # 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: Create a slice of your dataframe (call it s1)
  # that only includes the 'area' and 'perimeter' features
  # 
  # .. your code here ..
  
  slice_1=wheat_dataset.loc[:,['area','perimeter']]
  print(slice_1)
  
  
  
  	
  #slice_1= wheat_dataset[['area', 'perimeter']] 
  
  #
  # TODO: Create another slice of your dataframe (call it s2)
  # that only includes the 'groove' and 'asymmetry' features
  # 
  # .. your code here ..
  
  
  slice_2=wheat_dataset.loc[:,['groove','asymmetry']]
  print(slice_2)
  
  
  #
  # TODO: Create a histogram plot using the first slice,
  # and another histogram plot using the second slice.
  # Be sure to set alpha=0.75
  # 
  # .. your code here ..
  
  
  slice_1.plot.hist(alpha=0.75)
  slice_2.plot.hist(alpha=0.75)
  plt.show()
  
  
new_contents: '''
  author: Lama Hamadeh
  '''
  
  
  import pandas as pd
  import matplotlib.pyplot as plt
  import matplotlib
  
  # 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: Create a slice of your dataframe (call it s1)
  # that only includes the 'area' and 'perimeter' features
  # 
  # .. your code here ..
  
  slice_1=wheat_dataset.loc[:,['area','perimeter']]
  print(slice_1)
  
  
  
  	
  #slice_1= wheat_dataset[['area', 'perimeter']] 
  
  #
  # TODO: Create another slice of your dataframe (call it s2)
  # that only includes the 'groove' and 'asymmetry' features
  # 
  # .. your code here ..
  
  
  slice_2=wheat_dataset.loc[:,['groove','asymmetry']]
  print(slice_2)
  
  
  #
  # TODO: Create a histogram plot using the first slice,
  # and another histogram plot using the second slice.
  # Be sure to set alpha=0.75
  # 
  # .. your code here ..
  
  
  slice_1.plot.hist(alpha=0.75)
  slice_2.plot.hist(alpha=0.75)
  plt.show()
  
  
subject: Update assignment1.py