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Wednesday, January 16, 2019

Remove Carriage Return from CSV Using Python

To remove carriage return from CSV using Pandas follow below steps.

import re
import io
import pandas as pd
import numpy as np

write_header = True
with open('c:/abc.csv', 'r' ,encoding='iso-8859-1') as src:
    data =
    df = pd.read_csv(io.StringIO(re.sub('"\s*\n','"',data)), chunksize=1000)   
    for chunk in df:
        chunk = chunk.replace('(?!(([^"]*"){2})*[^"]*$),', '', regex=True)
        clean_chunk = pd.DataFrame(chunk.replace({r'\r\n': ''}, regex=True))
        for col in clean_chunk.columns:
            if clean_chunk[col].dtype == np.object_:
                clean_chunk[col] = clean_chunk[col].str.replace('\n','')
        clean_chunk.to_csv('c:/clean_abc.csv', sep = ",", index=False, mode='a', encoding='iso-8859-1',quotechar='"',
                      quoting=csv.QUOTE_NONNUMERIC,header=write_header )
        write_header = False # Header is marked as False, so that for all chunks we should have just one header in csv
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