Description:

csvy 0.1.5

csvy
Basic context wrappers for stardard library csv.read and csv.write methods.
Writer Example
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])

Reader Example
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)

License

For personal and professional use. You cannot resell or redistribute these repositories in their original state.

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