Python TypeError:应为字符串或字节，如对象的

我在python中使用FuzzyWzzy运行此代码，它返回以下错误：

TypeError: ('expected string or bytes-like object', 'occurred at index CONCAT')

有没有一个快速简单的方法来避免这个错误？我的文件包含一些Int，比如阿伯丁街142号。我想这就是错误代码的来源

    import pandas as pd
    from fuzzywuzzy import fuzz
    from fuzzywuzzy import process
    import csv
    import os


    #DEFINE AND CONFIGURE
    FULL_MATCHING_THRESHOLD = 80
    PARTIAL_MATCHING_THRESHOLD = 100
    SORT_MATCHING_THRESHOLD = 100
    TOKEN_MATCHING_THRESHOLD = 100
    MAX_MATCHES=1

    #READ THE CURRENT DATABASE
    companies_db = "C://Users//Dell/Desktop//Fuzzy_reconcile//TEST_DUP.csv"
    pwd = os.getcwd()
    os.chdir(os.path.dirname(companies_db))
    current_db_dataframe = pd.read_csv(os.path.basename(companies_db),skiprows=1,index_col=False, names=['CONCAT'])
    os.chdir(pwd)

    def find_matches(matchThis):
        rows = current_db_dataframe['CONCAT'].values.tolist();
        rows.remove(matchThis)
        matches= process.extractBests(matchThis,rows,scorer=fuzz.ratio,score_cutoff=FULL_MATCHING_THRESHOLD,limit=MAX_MATCHES)
        if len(matches)==0:
            matches= process.extractBests(matchThis,rows,scorer=fuzz.partial_ratio,score_cutoff=PARTIAL_MATCHING_THRESHOLD,limit=MAX_MATCHES);
            if len(matches)==0:
                matches= process.extractBests(matchThis,rows,scorer=fuzz.token_set_ratio,score_cutoff=TOKEN_MATCHING_THRESHOLD,limit=MAX_MATCHES);
                if len(matches)==0:
                    matches= process.extractBests(matchThis,rows,scorer=fuzz.token_sort_ratio,score_cutoff=SORT_MATCHING_THRESHOLD,limit=MAX_MATCHES);

        return matches[0][0] if len(matches)>0 else None


    fn_find_matches = lambda x: find_matches(x)
    current_db_dataframe['Duplicate']=current_db_dataframe.applymap(fn_find_matches)

    current_db_dataframe.to_csv("results.csv")

错误消息：

---

您可以按照正则表达式删除字符串的字符

number=re.sub("[^a-zA-Z]",  # Search for all non-letters
       " ",                 # Replace all non-letters with spaces
       str(string))

---

请在问题中包含完整的错误回溯。请参阅更新我希望保留字符串匹配的所有数字这将仅从字符串返回数字

number=re.sub("[^a-zA-Z]",  # Search for all non-letters
       " ",                 # Replace all non-letters with spaces
       str(string))