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@jrivero
Forked from palewire/csv_splitter.py
Created July 15, 2011 20:33
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A Python CSV splitter
import os
def split(filehandler, delimiter=',', row_limit=10000,
output_name_template='output_%s.csv', output_path='.', keep_headers=True):
"""
Splits a CSV file into multiple pieces.
A quick bastardization of the Python CSV library.
Arguments:
`row_limit`: The number of rows you want in each output file. 10,000 by default.
`output_name_template`: A %s-style template for the numbered output files.
`output_path`: Where to stick the output files.
`keep_headers`: Whether or not to print the headers in each output file.
Example usage:
>> from toolbox import csv_splitter;
>> csv_splitter.split(open('/home/ben/input.csv', 'r'));
"""
import csv
reader = csv.reader(filehandler, delimiter=delimiter)
current_piece = 1
current_out_path = os.path.join(
output_path,
output_name_template % current_piece
)
current_out_writer = csv.writer(open(current_out_path, 'w'), delimiter=delimiter)
current_limit = row_limit
if keep_headers:
headers = reader.next()
current_out_writer.writerow(headers)
for i, row in enumerate(reader):
if i + 1 > current_limit:
current_piece += 1
current_limit = row_limit * current_piece
current_out_path = os.path.join(
output_path,
output_name_template % current_piece
)
current_out_writer = csv.writer(open(current_out_path, 'w'), delimiter=delimiter)
if keep_headers:
current_out_writer.writerow(headers)
current_out_writer.writerow(row)
@gregjotau
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Adding a working solution, python3 and with encoding.

`import os

def split(filehandler, delimiter=',', row_limit=8500,
output_name_template='output_%s.csv', output_path='.', keep_headers=True):
"""
Splits a CSV file into multiple pieces.

A quick bastardization of the Python CSV library.

Arguments:

    `row_limit`: The number of rows you want in each output file. 10,000 by default.
    `output_name_template`: A %s-style template for the numbered output files.
    `output_path`: Where to stick the output files.
    `keep_headers`: Whether or not to print the headers in each output file.

Example usage:

    >> from toolbox import csv_splitter;
    >> csv_splitter.split(open('/home/ben/input.csv', 'r'));

"""
import csv
reader = csv.reader(filehandler, delimiter=delimiter)
current_piece = 1
current_out_path = os.path.join(
    output_path,
    output_name_template % current_piece
)
current_out_writer = csv.writer(open(current_out_path, 'w',encoding='utf-8'), delimiter=delimiter)
current_limit = row_limit
if keep_headers:
    headers = next(reader)
    current_out_writer.writerow(headers)
for i, row in enumerate(reader):
    if i + 1 > current_limit:
        current_piece += 1
        current_limit = row_limit * current_piece
        current_out_path = os.path.join(
            output_path,
            output_name_template % current_piece
        )
        current_out_writer = csv.writer(open(current_out_path, 'w',encoding='utf-8'), delimiter=delimiter)
        if keep_headers:
            current_out_writer.writerow(headers)
    current_out_writer.writerow(row)

split(open('test.csv','r',encoding='utf-8'))`

@alternateaccounts
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Thanks for the starting point! Was able to make a single file CSV split by column program after looking at your code. https://github.com/APAHRoot/HelpfulHopeful

Hopefully it works for other people too!

This is amazing and is exactly what I was looking for. Thank you so much.

@jrivero
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Author

jrivero commented Jul 24, 2020

Thanks for the starting point! Was able to make a single file CSV split by column program after looking at your code. https://github.com/APAHRoot/HelpfulHopeful
Hopefully it works for other people too!

This is amazing and is exactly what I was looking for. Thank you so much.

@alternateaccounts You can test this tool with your 4.5gb file?

https://github.com/BurntSushi/xsv

Thank you by the mention in your project

@TheOther-Guy
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I am sorry about this, I am new to the field, but where I should specify the file I want to split into smaller files? at which part of the code?

@LulaSvob
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@sqinghua
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sqinghua commented Oct 12, 2021

add newline=‘’ in open() to avoid blank row

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