大 pandas 在列中使用额外的逗号读取 csv

问题描述：

我正在阅读一个基本的 csv 文件，其中的列用逗号与这些列名分隔:

I'm reading a basic csv file where the columns are separated by commas with these column names:

用户名、用户名、正文

然而，body 列是一个可能包含逗号的字符串.显然这会导致一个问题，pandas 抛出一个错误:

However, the body column is a string which may contain commas. Obviously this causes a problem and pandas throws out an error:

CParserError:标记数据时出错.C 错误:第 3 行应为 3 个字段，看到 8 个

有没有办法告诉熊猫忽略特定列中的逗号或解决这个问题的方法?

Is there a way to tell pandas to ignore commas in a specific column or a way to go around this problem?

答

假设我们正在读取名为 comma.csv 的数据框:

Imagine we're reading your dataframe called comma.csv:

userid, username, body
01, n1, 'string1, string2'

您可以做的一件事是指定列中字符串的分隔符:

One thing you can do is to specify the delimiter of the strings in the column with:

df = pd.read_csv('comma.csv', quotechar="'")

在这种情况下，由 ' 分隔的字符串被视为总数，无论其中是否有逗号.

In this case strings delimited by ' are considered as total, no matter commas inside them.