_csv.Error: 字段大于字段限制 (131072) [英] _csv.Error: field larger than field limit (131072)

问题描述

我有一个读取 csv 文件的脚本，其中包含非常大的字段:

I have a script reading in a csv file with very huge fields:

# example from http://docs.python.org/3.3/library/csv.html?highlight=csv%20dictreader#examples
import csv
with open('some.csv', newline='') as f:
    reader = csv.reader(f)
    for row in reader:
        print(row)

但是，这会在某些 csv 文件上引发以下错误:

However, this throws the following error on some csv files:

_csv.Error: field larger than field limit (131072)

如何分析具有巨大字段的 csv 文件?由于需要在后续步骤中分析数据，因此不能选择跳过具有巨大字段的行.

How can I analyze csv files with huge fields? Skipping the lines with huge fields is not an option as the data needs to be analyzed in subsequent steps.

推荐答案

csv文件可能包含非常大的字段，因此增加field_size_limit:

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 适用于 Python 2.x 和 3.x.sys.maxint 仅适用于 Python 2.x (SO:what-is-sys-maxint-in-python-3)

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)

正如 Geoff 所指出的，上面的代码可能会导致以下错误:OverflowError: Python int too large to convert to C long.为了避免这种情况，您可以使用以下快速而肮脏的代码(它应该适用于使用 Python 2 和 Python 3 的每个系统):

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:
        maxInt = int(maxInt/10)

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