Writing With Python's Built-in .csv Module
Solution 1:
You cannot read and write the same file.
source = open("PALTemplateData.csv","rb")
reader = csv.reader(source , dialect)
target = open("AnotherFile.csv","wb")
writer = csv.writer(target , dialect)
The normal approach to ALL file manipulation is to create a modified COPY of the original file. Don't try to update files in place. It's just a bad plan.
Edit
In the lines
source = open("PALTemplateData.csv","rb")
target = open("AnotherFile.csv","wb")
The "rb" and "wb" are absolutely required. Every time you ignore those, you open the file for reading in the wrong format.
You must use "rb" to read a .CSV file. There is no choice with Python 2.x. With Python 3.x, you can omit this, but use "r" explicitly to make it clear.
You must use "wb" to write a .CSV file. There is no choice with Python 2.x. With Python 3.x, you must use "w".
Edit
It appears you are using Python3. You'll need to drop the "b" from "rb" and "wb".
Read this: http://docs.python.org/3.0/library/functions.html#open
Solution 2:
Opening csv files as binary is just wrong. CSV are normal text files so You need to open them with
source = open("PALTemplateData.csv","r")
target = open("AnotherFile.csv","w")
The error
_csv.Error: iterator should return strings, not bytes (did you open the file in text mode?)
comes because You are opening them in binary mode.
When I was opening excel csv's with python, I used something like:
try: # checking if file exists
f = csv.reader(open(filepath, "r", encoding="cp1250"), delimiter=";", quotechar='"')
except IOError:
f = []
for record in f:
# do something with record
and it worked rather fast (I was opening two about 10MB each csv files, though I did this with python 2.6, not the 3.0 version).
There are few working modules for working with excel csv files from within python - pyExcelerator is one of them.
Solution 3:
the problem is you're trying to write to the same file you're reading from. write to a different file and then rename it after deleting the original.
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