Why use Pythons regularization re When findall extracts the desired feature data in Excel, it gets a null value?

The phenomenon and background of the problem

I use pandas Read a EXCEL（ by xlsx Format , The EXCEL It's from txt Imported ）, And USES the re.findall Regularization wants to get the data , But you always get a null value [].

Problem related code , Do not paste screenshots

wdi=pd.read_excel(r"wdisp.xlsx",engine="openpyxl")
wyj_c=re.findall(r"1/\d+",str(wdi))
print(' result ：',wyj_c)

Operation results and error reporting contents

result ： []

My solution ideas and tried methods

I tried to EXCEL Manually enter... In '1/1000' as well as ' What I want 1/1000', You can get this after running '1/1000', It shows that the code can obtain character type or numeric data , But the values with the same characteristics in the original data can not be extracted .

What I want to achieve

It is hoped that the extracted features are ‘1/’ The data of

df Not directly supported re, Suggest using

df.str.contains() This lookup contains characters df.str.findall() This value finds the corresponding character