title: python pandas Dataframe with User level inputs
body: <p>I'm Just started learning <code>pandas</code> where i am using <code>Dataframe</code> and data structure for learning , So when i am providing hardcode values for Dictionary and Index the it works fine but i want this to be user input based where user can put the inputs and those vaue can be stored on the Dictionary and based on that it can produce the expected results:</p>
  
  <blockquote>
    <p>The below example code runs good with hardcode values within
    Dictionary &amp; Index ..</p>
  </blockquote>
  
  <pre><code>import pandas as pd
  import numpy as np
  ###########  computation by numpy vectorisation method #######
  purchae_1 = pd.Series({'Name': 'Karn',
                         'Item Purchased': 'Dog Food',
                         'Cost': 22.50})
  
  purchae_2 = pd.Series({'Name': 'Renu',
                         'Item Purchased': 'Kitty Letter',
                         'Cost': 2.50})
  
  purchae_3 = pd.Series({'Name': 'Rigved',
                         'Item Purchased': 'Foot Ball',
                         'Cost': 12.50})
  
  #df = pd.DataFrame([purchae_1,purchae_2,purchae_3], index = ['Store1', 'Store2', 'Store3'])
  df = pd.DataFrame([purchae_1,purchae_2,purchae_3], index = ['Store1', 'Store2', 'Store3'])
  print(df.head())
  
     bash-4.1$ ./pythonDatafram.py
              Cost Item Purchased    Name
      Store1  22.5       Dog Food    Karn
      Store2   2.5   Kitty Letter    Renu
      Store3  12.5      Foot Ball  Rigved
  </code></pre>
  
  <blockquote>
    <p>While in The below example i'm trying to build it in such a way so, it
    will ask for User's input and based on that Dtaframe will be created
    and result can be yeilded but someone its not working properly</p>
  </blockquote>
  
  <pre><code>import pandas as pd
  import numpy as np
  
  User_Name  = input('Name ')
  Item_Purchased = input('Item Purchased ')
  Item_Cost = input('Cost ')
  
  purchae_1 = pd.Series( {'Name ': User_Name,
                          'Item_Purchased ' : Item_Purchased,
                          'Item_Cost ' : Item_Cost})
  
  purchae_2 = pd.Series({'Name ': User_Name,
                         'Item Purchased ': Item_Purchased,
                         'Cost ': Item_Cost})
  
  purchae_3 = pd.Series({'Name ': User_Name,
                         'Item Purchased ': Item_Purchased,
                         'Cost ': Item_Cost})
  
  df = pd.DataFrame([purchae_1,purchae_2,purchae_3], index = ['Store1', 'Store2', 'Store3'])
  print(df.head())
  </code></pre>
  
  <blockquote>
    <p>So, when i executed it , it shows the below results.. please help me to understand what i need to do to make it running for other sequese as well..
    as i have defined the Variable purchase_1, purchase_2 &amp; purchase_3 where it only pics First one and skips the rest...</p>
  </blockquote>
  
  <pre><code>bash-4.1$ ./pythonDatafram.py
  Name Karn
  Item Purchased Dog Food
  Cost 22.50
          Cost  Item Purchased  Item_Cost  Item_Purchased  Name
  Store1    NaN             NaN      22.50        Dog Food  Karn
  Store2  22.50        Dog Food        NaN             NaN  Karn
  Store3  22.50        Dog Food        NaN             NaN  Karn
  bash-4.1$
  </code></pre>