如何读取以“”开头和结尾的列的 csv

Question

我的 CSV 具有以下结构：

h1, h2, h3, h4 
"v1","v2","v3","v4,v5,v6" 
"a1","a2","a3","a4,a5,a6" 
"s1","s2","s3","s4,s5,s6"

标题名称之间有空格，用逗号分隔，但有些列内部有逗号，这就是为什么每列都用引号覆盖的原因

我跑步：

df= pd.read_csv('path/test.csv', delimiter=',', quotechar='"')

但它又回来了

            h1          h2  h3  h4 
0   "v1","v2","v3","v4,v5,v6"   NaN NaN NaN 
1   "a1","a2","a3","a4,a5,a6"   NaN NaN NaN 
2   "s1","s2","s3","s4,s5,s6"   NaN NaN NaN 

而不是：

   h1   h2   h3        h4 
0  v1   v2   v3  v4,v5,v6 
1  a1   a2   a3  a4,a5,a6 
2  s1   s2   s3  s4,s5,s6   

我做错了什么？

Answer 1

让我帮助您正确阅读此 CSV。问题是 pandas 需要正确处理 逗号分隔符 和 带引号的字符串。

def read_csv_method(file_path):
    try:
        df = pd.read_csv(file_path,
                        skipinitialspace=True,
                        quotechar='"',
                        quoting=csv.QUOTE_MINIMAL)
        return df
    except Exception as e:
        print(f"Error in method 2: {e}")
        return None