如何删除 DataFrame 中字符串中的特殊字符，如“，”？

Question

我有一个如下所示的数据框类型：pandas.core.frame.DataFrame

newdf = pd.DataFrame([
    [0, "Hello, How are you?", 1],
    ["I wish, we could get it right", 0, 0],
    [0, "Hey there, hope you are doing well", 0]],
    columns=['Mon','Tue','Wed'])



newdf

|Mon                            |   Tue                              |  Wed |
|:------------------------------|:----------------------------------:|-----:| 
| 0                             |   Hello, How are you?              |  1   |
|I wish, we could get it right  | 0                                  |  0   |
|              0                |Hey there, hope you are doing well  |  0   |

我想保存为CSV格式上传到MySQL，但是句子中有带“,”的字符串

我想用“”或“-”替换所有“,”

我试过了

newdf1 = newdf.replace(",","-")

数据框没有变化

请帮助替换 DataFrame 中字符串中的字符。

我之前使用 .replace() 更改单元格的整个元素并且它有效，但现在我想读取字符串内部并执行操作。

Answer 1

您必须首先为子字符串匹配启用正则表达式：

>>> newdf.replace(",", "-", regex=True)
                             Mon                                 Tue  Wed
0                              0                 Hello- How are you?    1
1  I wish- we could get it right                                   0    0
2                              0  Hey there- hope you are doing well    0
>>>

如何删除 DataFrame 中字符串中的特殊字符，如“，”？

How do I remove special character like "," within a string in a DataFrame?

python

string

replace

dataframe

pandas