Read specific columns in csv using python

Question

I have a csv file that look like this:

+-----+-----+-----+-----+-----+-----+-----+-----+
| AAA | bbb | ccc | DDD | eee | FFF | GGG | hhh |
+-----+-----+-----+-----+---         


        

Answer 1

I think it will help.

CSV

1997,Ford,E350,"ac, abs, moon",3000.00
1999,Chevy,"Venture ""Extended Edition""","",4900.00
1996,Jeep,Grand Cherokee,"MUST SELL! air, moon roof, loaded",4799.00

code

import csv   

def get_csv(file_name, names=None, usecols=None, mode='r', encoding="utf8",
            quoting=csv.QUOTE_ALL,
            delimiter=',',
            as_obj=False):

    class RowObject:
        def __init__(self, **entries):
            self.__dict__.update(entries)

    with open(file_name, mode=mode, encoding=encoding) as csvfile:
        data_reader = csv.reader(csvfile, quoting=quoting, delimiter=delimiter)
        for row in data_reader:
            if usecols and names:
                q = dict(zip(names, (row[i] for i in usecols)))
                yield q if not as_obj else RowObject(**q)
            elif usecols and not names:
                yield list(row[i] for i in usecols)
            elif names and not usecols:
                q = dict(zip(names, (row[k] for k, i in enumerate(row))))
                yield q if not as_obj else RowObject(**q)
            else:
                yield row

example

filename = "/csv_exe/csv.csv"
vs = get_csv(filename, names=('f1', 'f2', 'f3', 'f4', 'f5'))
for item in vs:
    print(item)

result

{'f1': '1997', 'f4': 'ac, abs, moon', 'f3': 'E350', 'f2': 'Ford', 'f5': '3000.00'}
{'f1': '1999', 'f4': '', 'f3': 'Venture "Extended Edition"', 'f2': 'Chevy', 'f5': '4900.00'}
{'f1': '1996', 'f4': 'MUST SELL! air, moon roof, loaded', 'f3': 'Grand Cherokee', 'f2': 'Jeep', 'f5': '4799.00'}

example2

vs = get_csv(filename, names=('f1', 'f2'), usecols=(0, 4))

result2

{'f1': '1997', 'f2': '3000.00'}
{'f1': '1999', 'f2': '4900.00'}
{'f1': '1996', 'f2': '4799.00'}

example3

vs = get_csv(filename, names=('f1', 'f2'), usecols=(0, 2), as_obj=True)

result3

<__main__.get_csv.<locals>.RowObject object at 0x01408ED0>
<__main__.get_csv.<locals>.RowObject object at 0x01408E90>
<__main__.get_csv.<locals>.RowObject object at 0x01408F10>

for item in vs:
    print(item.f2)

E350
Venture "Extended Edition"
Grand Cheroke