Csv Writer Not Closing File

Csv Writer Not Closing File

im reading a csv file and then writing a new one:

import csv

with open('thefile.csv', 'rb') as f:
  data = list(csv.reader(f))

import collections
counter = collections.defaultdict(int)
for row in data:
    counter[row[11]] += 1

writer = csv.writer(open('/pythonwork/thefile_subset1.csv', 'w'))
for row in data:
    if counter[row[11]] >= 500:
       writer.writerow(row)

for some reason i cannot get the csv.writer to close the file. when i open the file it opens it as READ ONLY because it says that is still open.

how do i close thefile_subset1.csv after i am done with it?

5 Answers

with open('/pythonwork/thefile_subset1.csv', 'w') as outfile:
    writer = csv.writer(outfile)
    for row in data:
        if counter[row[11]] >= 500:
           writer.writerow(row)

You can break out the open command into its own variable, so that you can close it later.

f = open('/pythonwork/thefile_subset1.csv', 'w')
writer = csv.writer(f)
f.close()

csv.writer throws a ValueError if you try to write to a closed file.

2

close the file, not the csv writer. To do this, you'll need to open the file first before instantiating your writer rather than keeping it all in one line.

import csv
import collections

with open('thefile.csv', 'rb') as f:
    data = list(csv.reader(f))

counter = collections.defaultdict(int)
for row in data:
    counter[row[11]] += 1

f.close()  # good idea to close if you're done with it

fSubset = open('/pythonwork/thefile_subset1.csv', 'w')
writer = csv.writer(fSubset)
for row in data:
    if counter[row[11]] >= 500:
        writer.writerow(row)

fSubset.close()

Also, I would suggest keeping your imports at the top of the script and closing the first file when you're done with it.

2

Force the writer to clean up:

del writer
7

Look at the difference:

with open('thefile.csv', 'rb') as f:
    data = list(csv.reader(f))

vs:

writer = csv.writer(open('/pythonwork/thefile_subset1.csv', 'w'))
1

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David Miller
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David Miller

David Miller brings 15 years of experience in global economics, personal finance strategy, and market dynamics. He specializes in turning complex economic trends into actionable insights for everyday readers.