如何解决错误TypeError：列表索引必须是整数或切片，而不是python中的str

Question

根据上一个问题，我更改了代码，但仍然无法正常工作。click here

我有一个python脚本，可以读取文本并应用预处理功能以进行分析。问题是我想计算单词的出现频率，但是系统崩溃并显示以下错误。

file“ F：\ AIenv \ textAnalysis \ setup.py”，第219行，位于tag_and_save中file.write（word +“ /” + tag +“（frequency =” + freq_tagged_data [word] +“）\ n”）

TypeError：列表索引必须是整数或切片，而不是str

def get_freq(tagged):
    freq_dist = {}
    freqs = FreqDist(tagged)
    freq_dist = [(word, freq) for word ,freq in freqs.items()]
    # print(freq_dist)
    return freq_dist

def tag_and_save(tagger,text,path):
    clt = clean_text(text)
    tagged_data = tagger.tag(clt)
    tagged_data = sorted(tagged_data,key=operator.itemgetter(1))
    freq_tagged_data = get_freq(tagged_data)
    file = open(path,"w",encoding = "UTF8")
    for word,tag in tagged_data:
        file.write(word+"/"+tag+" (frequency="+ freq_tagged_data[word] +")\n")
    file.close()

如果我尝试将单词转换为int（）

def tag_and_save(tagger,text,path):
    clt = clean_text(text)
    tagged_data = tagger.tag(clt)
    tagged_data = sorted(tagged_data,key=operator.itemgetter(1)) 
    freq_tagged_data = get_freq(tagged_data)
    file = open(path,"w",encoding = "UTF8")
    for word,tag in tagged_data:
        file.write(word+"/"+tag+" (frequency="+ freq_tagged_data[int(word)] +")\n")
    file.close()

它显示以下错误：

file“ F：\ AIenv \ textAnalysis \ setup.py”，第219行，位于tag_and_save中file.write（word +“ /” + tag +“（frequency =” + freq_tagged_data [int（word）] +“）\ n”）ValueError：的文字无效以10为底的int（）：''

预期的输出必须是这样的：

（'***** / DTNN'）3

Answer 1

def get_freq(tagged):
    # freq_dist is dict
    freq_dist = {}
    freqs = FreqDist(tagged)
    # freq_dist is list now
    freq_dist = [(word, freq) for word ,freq in freqs.items()]
    return freq_dist

您有几种选择来初始化字典：

dict理解
def get_freq(tagged):
    freqs = FreqDist(tagged)
    return {word: freq for word ,freq in freqs.items()}

[update()方法

有关详细信息，请参见update()文档。

def get_freq(tagged):
    freq_dist = {}
    freqs = FreqDist(tagged)
    freq_dist.update([(word, freq) for word ,freq in freqs.items()])
    return freq_dist

[dict构造函数

def get_freq(tagged):
    freqs = FreqDist(tagged)
    # freq_dist is list now
    return dict([(word, freq) for word ,freq in freqs.items()])