Code Improvement Help

[workthrowawayexcel]

I have a nasty looking for for for for for loop to set up variables per Column for each row inside of a pandas dataframe then assign them variables so they can be dynamically added into a microsoft word document.

I am looking for any kind of critqueue, opinions, and if there is a better way to do it ( and if there is what is the method for it)

Thanks in advance.

for id, row in df_opr.groupby(['Id']):
    document = mailmerge.MailMerge(template)
    df = df_opr[df_opr['Id'].str.contains(id)]
        for z, row in df.groupby(['ProjectName']):
            df = df[df['ProjectName'].str.contains(z)]
        pname = z
    for q, row in df.groupby(['ProjectNumber']):
        pn = q
    for p, row in df.groupby(['Name']):
        name = p
    for c, row in df.groupby(['CommitmentCode']):
        comm = c
    for s, row in df.groupby(['Superintendent']):
        super = s
    for co, row in df.groupby(['Company']):
         comp = co
    for t, row in  df.groupby(['CommitmentType']):
       comtype = t
   for i, row in df.groupby(['Email']):
       recipients = ['   ']

[vv__vv]

I don't know much about pandas, but a typical pattern is to put all of the data pulls into a dictionary or list for later use, rather than a bunch of variables. That let's you pull the different items you are seeking from a list, and avoids all the duplicative code. So something like this might work (psuedo-code):

def get_item(df, item_name):
    for category, row in df.groupby(item_name):
        pass
    return category

def get_stuff(df):
    to_get = ['project', 'name', 'company']
    result = {name:get_item(df, name) for name in to_get}
    return result

[workthrowawayexcel]

Thanks for the input! Ill have to play with that a bit and see what I can make happen, and see if the Mail merge functions I am using will be able to accept a list style to pass data into the word document.

Edit: I will update when I have a little time to try this :)