import csv
company = {}
with open('TechCrunchcontinentalUSA1.csv', 'r') as f:
    f_csv = csv.DictReader(f)
    for row in f_csv:
       print(row['company'], row['raisedAmt'])

  
>>> text = """\
... LifeLock 6850000
... LifeLock 6000000
... LifeLock 25000000
... MyCityFaces 50000
... Flypaper 3000000
... Infusionsoft 9000000
... gAuto 250000
... ChosenList.com 140000
... ChosenList.com 233750
... Digg 8500000
... Digg 2800000
... Facebook 500000
... Facebook 12700000
... Facebook 27500000
... Facebook 300000000
... Facebook 40000000
... Facebook 15000000
... Facebook 100000000"""
>>> 
>>> total_sums = {}
>>> for i in text.splitlines():
...     company, money_text = i.split()
...     money = int(money_text)
...     if company in total_sums:
...         total_sums[company] += money
...     else:
...         total_sums[company] = money
... 
>>> for i, j in total_sums.items():
...     print(i, j)
... 
LifeLock 37850000
MyCityFaces 50000
Flypaper 3000000
Infusionsoft 9000000
gAuto 250000
ChosenList.com 373750
Digg 11300000
Facebook 495700000
>>> 
>>> top_companies = sorted(total_sums.items(), key=lambda i: i[1], reverse=True)
>>> top_five = top_companies[:5]
>>> for i, j in top_five:
...     print(i, j)
... 
Facebook 495700000
LifeLock 37850000
Digg 11300000
Infusionsoft 9000000
Flypaper 3000000
>>>

 import csv
lst_1 = {}
total_sums = {}
with open('TechCrunchcontinentalUSA.csv', 'r') as f:
    f_csv = csv.DictReader(f)
    for row in f_csv:
       money = int(row['raisedAmt'])
       companies = row['company']
       if companies in total_sums:
            total_sums[companies] += money
       else:
            total_sums[companies] = money
for comp, summa in total_sums.items():
     print(comp, summa)