Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error **_csv.Error: field larger than field limit (131072)** **in python**. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

Table of Contents

## How _csv.Error: field larger than field limit (131072) Error Occurs?

Today I get the following error **_csv.Error: field larger than field limit (131072)** **in python**.

## How To Solve _csv.Error: field larger than field limit (131072) Error ?

**How To Solve _csv.Error: field larger than field limit (131072) Error ?**To Solve _csv.Error: field larger than field limit (131072) Error

`sys.maxsize`

works for Python 2.x and 3.x.`sys.maxint`

would only work with Python 2.x (SO: what-is-sys-maxint-in-python-3)**_csv.Error: field larger than field limit (131072)**To Solve _csv.Error: field larger than field limit (131072) Error

`sys.maxsize`

works for Python 2.x and 3.x.`sys.maxint`

would only work with Python 2.x (SO: what-is-sys-maxint-in-python-3)

## Solution 1

The csv file might contain very huge fields, therefore increase the `field_size_limit`

:

import sys import csv csv.field_size_limit(sys.maxsize)

`sys.maxsize`

works for Python 2.x and 3.x. `sys.maxint`

would only work with Python 2.x (SO: what-is-sys-maxint-in-python-3)

### Update

As Geoff pointed out, the code above might result in the following error: `OverflowError: Python int too large to convert to C long`

. To circumvent this, you could use the following *quick and dirty* code (which should work on every system with Python 2 and Python 3):

import sys import csv maxInt = sys.maxsize while True: # decrease the maxInt value by factor 10 # as long as the OverflowError occurs. try: csv.field_size_limit(maxInt) break except OverflowError:

## Solution 2

This could be because your CSV file has embedded single or double quotes. If your CSV file is tab-delimited try opening it as:

c = csv.reader(f, delimiter='\t', quoting=csv.QUOTE_NONE)

**Summery**

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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