我有这段文字:
due to previous assess c6c587469 and 4ec0f198
nearest and with fill station in the citi
becaus of our satisfact in the d4a29a already
averaging my thoughts on e977f33588f react to
我想删除所有“字母和数字”字词
在输出中，我想要
due to previous assess and
nearest and with fill station in the citi
becaus of our satisfact in the already
averaging my thoughts on react to
我试过了，但是不行。
df_colum = df_colum.str.replace('[^A-Za-z0-9\s]+', '')
任何正则表达式专家？
谢谢
请您参考如下方法:
尝试使用这个正则表达式:
df_colum = df_colum.str.replace('\w*\d\w*', '')
