I realize that there is a way to add a column using 'awk'.
But I'm not so familiar with this alternative, so I though I'd ask whether there's a way to add a column to a tab-delimited text file using Python?
Specifically, here's the scenario I need to add a column in:
I have data in the following format (I realize looking at it that the format may not be so clear, but the phone, email, and website correspond to different columns):
name    phone   email   website
D G Albright M.S.           
Lannister G. Cersei M.A.T., CEP 111-222-3333    cersei@got.com  www.got.com
Argle D. Bargle Ed.M.           
Sam D. Man Ed.M.    000-000-1111    dman123@gmail.com   www.daManWithThePlan.com
Sam D. Man Ed.M.            
Sam D. Man Ed.M.    111-222-333     dman123@gmail.com   www.daManWithThePlan.com
D G Bamf M.S.           
Amy Tramy Lamy Ph.D.    
And I'm writing a parser for the first column. I want to add the 'area of practice', in this case an ex would be 'CEP', to a new column entitled 'area'. I iterate through the file, and use the pop function to separate out the area from the rest of the first column. Then I add this to a list, which just dies in the function because it's not added to the spreadsheet.
Here's my script:
def parse_ieca_gc(s):  
    ### HANDLE NAME ELEMENT ######
    degrees = ['M.A.T.','Ph.D.','MA','J.D.',
               'Ed.M.', 'M.A.', 'M.B.A.', 
               'Ed.S.', 'M.Div.', 'M.Ed.', 
               'RN', 'B.S.Ed.', 'M.D.', 'M.S.']
    degrees_list = []
    # check whether the name string has 
    # an area of practice by 
    # checking if there's a comma separator
    if ',' in s['name']:
        # separate area of practice from name 
        # and degree and bind this to var 'area'
        split_area_nmdeg = s['name'].split(',')
        area = split_area_nmdeg.pop()
        # Split the name and deg by spaces. 
        # If there's a deg, it will match with one 
        # of elements and will be stored deg list.
        # The deg is removed name_deg list 
        # and all that's left is the name.
        split_name_deg = re.split('\s',split_area_nmdeg[0])
        for word in split_name_deg:
            for deg in degrees:
                if deg == word:
                    degrees_list.append(split_name_deg.pop())
                name = ' '.join(split_name_deg)
Expected output
name    phone   email   website    area   degrees
D G Albright                                                                      M.A.          
Lannister G. Cersei 111-222-3333    cersei@got.com  www.got.com    CEP    M.A.T.
Argle D. Bargle                                                             Ed.M.           
Sam D. Man  000-000-1111    dman123@gmail.com   www.daManWithThePlan.com   Ed.M.
Sam D. Man                                                                        Ed.M.         
Sam D. Man  111-222-333     dman123@gmail.com   www.daManWithThePlan.com      Ed.M.
D G Bamf                                                                          M.S.          
Amy Tramy Lamy                                                                   Ph.D.  
This code is also not working:
fieldnames = ['name','degrees','area','phone','email','website']
with open('ieca_first_col_fake_text.txt','r') as input:
    with open('new_col_dict.txt','w') as output:
        dict_writer = csv.DictWriter(output, fieldnames, delimiter = '\t')
        dict_reader = csv.DictReader(input, delimiter = '\t')
        #dict_writer.writeheader(fieldnames)
        for row in dict_reader:
            print row
            dict_writer.writerow(fieldnames)
            dict_writer.writerow(row)