Try, Except / If 语句组合 - 缺少结果

Question

我正在将一个大学列表与其他 12 个列表进行比较，查找模糊字符串匹配并将所有结果写入 csv。我没有对一个大列表进行模糊字符串匹配，因为我需要知道匹配来自哪个列表。列表示例：

data = [[1-00000, "MIT"], [1-00001, "Stanford"] ,...]

Data1 = ['MASSACHUSETTS INSTITUTE OF TECHNOLOGY (MIT)'], ['STANFORD UNIVERSITY'],...

在 Whosebug 的帮助下，我得到了：

for uni in data:
    hit = process.extractOne(str(uni[1]), data10, scorer = fuzz.token_set_ratio, score_cutoff = 90)
    try:
        if float(hit[1]) >= 94:
            with open(filename, mode='a', newline="") as csv_file:
                fieldnames = ['bwbnr', 'uni_name', 'match', 'points']
                writer = csv.DictWriter(csv_file, fieldnames=fieldnames, delimiter=';')
                writer.writerow({'bwbnr': str(uni[0]), 'uni_name': str(uni[1]), 'match': str(hit), 'points': 10})

    except:
        hit1 = process.extractOne(str(uni[1]), data11, scorer = fuzz.token_set_ratio, score_cutoff = 90)
        try:
            if float(hit1[1]) >= 94:
                with open(filename, mode='a', newline="") as csv_file:
                      fieldnames = ['bwbnr', 'uni_name', 'match', 'points']
                      writer = csv.DictWriter(csv_file, fieldnames=fieldnames, delimiter=';')
                      writer.writerow({'bwbnr': str(uni[0]), 'uni_name': str(uni[1]), 'match': str(hit), 'points': 5})

在 12 个列表中往下看，直到最后一个列表除外，其中我包括那些分数低于 94 并以 "not found":

结尾的列表

    except:
        hit12 = process.extractOne(str(uni[1]), data9, scorer = fuzz.token_set_ratio)
        try:
            if float(hit12[1]) < 94:
                with open(filename, mode='a', newline="") as csv_file:
                       fieldnames = ['bwbnr', 'uni_name', 'match', 'points']
                       writer = csv.DictWriter(csv_file, fieldnames=fieldnames, delimiter=';')
                       writer.writerow({'bwbnr': str(uni[0]), 'uni_name': str(uni[1]), 'match': str(hit), 'points': 3})
        except:
            with open(filename, mode='a', newline="") as csv_file:
                  fieldnames = ['bwbnr', 'uni_name', 'match', 'points']
                  writer = csv.DictWriter(csv_file, fieldnames=fieldnames, delimiter=';')
                  writer.writerow({'bwbnr': str(uni[0]), 'uni_name': str(uni[1]), 'match': str(hit), 'points': 3})

但是，我只返回了 2854 个结果，而不是原始列表中的 3175 个结果（所有这些都需要检查并写入新的 csv）。

当我将所有列表放在一起并执行 extractOne 时，我确实得到了 3175 个结果：

scored_testdata = []
for uni in data:
     hit = process.extractOne(str(uni[1]), big_list, scorer = fuzzy.token_set_ratio, score_cutoff = 90)
     scored_testdata.append(hit)
print(len(scored_testdata))

我在这里错过了什么？我感觉 process.extractOne 中返回 "None" 的结果由于某种原因被丢弃了。任何帮助将不胜感激。

可以找到完整代码here。

Answer 1

最后的 try-except 应该是检查所有列表并在没有 score_cutoff 的情况下执行 extractBest：

except:
    hit12 = process.extractOne(str(uni[1]), big_list, scorer = fuzz.token_set_ratio)
    with open(filename, mode='a', newline="") as csv_file:
           fieldnames = ['bwbnr', 'uni_name', 'match', 'confidence', 'points']
           writer = csv.DictWriter(csv_file, fieldnames=fieldnames, delimiter=';')
           writer.writerow({'bwbnr': str(uni[0]), 'uni_name': str(uni[1]), 'match': "CHECK AGAIN " + str(hit12[0]), 'confidence': str(hit12[1]), 'points': 3})

Try, Except / If 语句组合 - 缺少结果

Try, Except / If Statement Combination - Missing results

python

python-3.x

csv

exception-handling

fuzzywuzzy