Delete blank rows from CSV?

Delete empty row from .csv file using python

    import csv
  ...


 with open('demo004.csv') as input, open('demo005.csv', 'w', newline='') as output:
     writer = csv.writer(output)
     for row in csv.reader(input):
         if any(field.strip() for field in row):
             writer.writerow(row)

Thankyou

Surprised that nobody here mentioned pandas. Here is a possible solution.

import pandas as pd
df = pd.read_csv('input.csv')
df.to_csv('output.csv', index=False)

Use the csv module:

import csv
...

with open(in_fnam, newline='') as in_file:
    with open(out_fnam, 'w', newline='') as out_file:
        writer = csv.writer(out_file)
        for row in csv.reader(in_file):
            if row:
                writer.writerow(row)

If you also need to remove rows where all of the fields are empty, change the if row: line to:

if any(row):

And if you also want to treat fields that consist of only whitespace as empty you can replace it with:

if any(field.strip() for field in row):

---

_{Note that in Python 2.x and earlier, the csv module expected binary files, and so you'd need to open your files with e 'b' flag. In 3.x, doing this will result in an error.}

You have to open a second file, write all non blank lines to it, delete the original file and rename the second file to the original name.

EDIT: a real blank line will be like '\n':

for line in f1.readlines():
    if line.strip() == '':
        continue
    f2.write(line)

a line with all blank fields would look like ',,,,,\n'. If you consider this a blank line:

for line in f1.readlines():
    if ''.join(line.split(',')).strip() == '':
        continue
    f2.write(line)

openning, closing, deleting and renaming the files is left as an exercise for you. (hint: import os, help(open), help(os.rename), help(os.unlink))

EDIT2: Laurence Gonsalves brought to my attention that a valid csv file could have blank lines embedded in quoted csv fields, like 1, 'this\n\nis tricky',123.45. In this case the csv module will take care of that for you. I'm sorry Laurence, your answer deserved to be accepted. The csv module will also address the concerns about a line like "","",""\n.