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Convenience wrappers for the standard library csv module.
pip install csvy==0.1.5
Basic context wrappers for stardard library csv.read and csv.write methods.
B
The writer returns a straight up csv.writer object:
import csvy
with csvy.writer('csvpath.csv') as csvfile:
csvfile.writerow([1, 2, 3, 4])
The reader returns a proxy object that behaves a bit differently. You must
call the iter method that yield an enumerator:
import csvy
with csvy.reader('csvpath.csv') as csvfile:
for index, row in csvfile.iter():
print(f"{index}: {row}")
If a header row is detected, the row object will be a namedtuple based
on the values of the header line:
"""
src.csv:
A,B,C,column D
1,2,3,4
5,6,7,8
"""
import csvy
with csvy.reader('src.csv') as csvfile:
for index, row in csvfile.iter():
print(row.a)
print(row.column_d)
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