类型错误：NoneType是unsubscriptable - IF语句

Question

我试图找到学校名称模糊字符串匹配，并打印了一定的成绩（10，5，3）到CSV根据什么列表每次最接近的匹配是从哪里来的。

data = [["MIT"], ["Stanford"], ...]

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

到目前为止，我曾尝试：

1 for uni in data:
2    hit = process.extractOne(str(uni[0]), data1, scorer = fuzz.token_set_ratio, score_cutoff = 90)
3    if float(hit[1]) < 100:
4       print("not found")
5    else:
        print("Closest match for " + str(uni[0]) + " is " + str(hit[0]) " + "score: 10")

在这一点上，我得到了3行TypeError: NoneType is unsubscriptable

我检查我的变量的类型：

print(type(hit)) #I was getting tuple now NoneType...
print(len(hit))  # Was getting 2 now unsubscriptable
print(float(hit[1])) # 100

当我明白这个错误出现在当一个变量是不是类型人认为它是。任何想法如何解决这个问题？非常感谢

由于@inthevortex，我才得以完成的代码如下：

for uni in data:
hit = process.extractOne(str(uni[0]), 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[0]), 'match': str(hit), 'points': 10})

except:
    hit1 = process.extractOne(str(uni[0]), 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[0]), 'match': str(hit1), 'points': 5})

......等等......直到最后除了。

Answer 1

由于@inthevortex我完成使用尝试 - 除了方法的代码：

for uni in data:
hit = process.extractOne(str(uni[0]), 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[0]), 'match': str(hit), 'points': 10})

except:
hit1 = process.extractOne(str(uni[0]), 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[0]), 'match': str(hit1), 'points': 5})

一路到最后的名单我想和再次尝试 - 除了比较，！