Question

我正在尝试将Python中的csv文件读入pandas数据框，但是在一列中使用了额外的逗号，因为它有一个范围

我有一个逗号分隔的csv，包含13列数据，但其中一列是一系列值，并使用额外的逗号。标题如下：

"A","B","C","D","E","F","G","H","I","J","K","L","M"

但每行数据中的值如下所示：

"A",B,B,"C","D","E","F","G","H",I,"J",K,L,M

我正在尝试将其读入Python中的Pandas数据帧，但由于不一致，它会将元组视为两列。我将如何更改csv以便更容易解析？

Answer 1

您可以执行以下操作：

def fixed_lines(filename):
    with open(filename) as f:
        reader = csv.reader(f)
        next(reader)       # skip header(optional)
        for row in reader:
            yield row[:1] + [row[1] + ',' + row[2]] + row[3:]

pd.DataFrame(fixed_lines('filename.csv'))

修改CSV标头以匹配值

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