如何使用正则表达式替换替换特殊字符？

Question

我正在尝试使用正则表达式替换将“\”替换为 \ 但没有得到正确的解决方案。想要删除即将出现的双引号。你能帮我看看怎么做吗？

示例：

"\""warfarin was discontinued 3 days ago and xarelto was started when the INR was 2.7, and now the INR is 5.8, should Xarelto be continued or stopped?"

结果：

\"warfarin was discontinued 3 days ago and xarelto was started when the INR was 2.7, and now the INR is 5.8, should Xarelto be continued or stopped?"

Answer 1

这是否解决了您的问题？

re.sub(r'"\"', r'\', text)

Answer 2

尝试以下解决方案：

df = spark.createDataFrame([
    (1, '"\""warfarin was discontinued 3 days ago and xarelto was started when the INR was 2.7, and now the INR is 5.8, should Xarelto be continued or stopped?"')
], ("ID","textVal"))

import pandas as pd
from  pyspark.sql.functions import regexp_replace, col
pd.set_option('max_colwidth', 200)

df2 = df.withColumn('textVal', regexp_replace(col('textVal'), '\"\\\"', '\\')) 
df2.toPandas()


ID  textVal
0   1   \"warfarin was discontinued 3 days ago and xarelto was started when the INR was 2.7, and now the INR is 5.8, should Xarelto be continued or stopped?"

希望对您有所帮助！

如何使用正则表达式替换替换特殊字符？

how to use regex replace to replace special character?

regex

regular-language

dataframe

pyspark