jieba分词报错：AttributeError: ‘float’ object has no attribute ‘decode’

最近在做关于新闻报道的研究，利用jieba分词时，程序报错AttributeError: ‘float’ object has no attribute ‘decode’

原始代码

一下仅展示报错部分代码

content_S = []
current_segment = jieba.lcut(content)
if len(current_segment) > 1 and current_segment != '\n':
    content_S.append(current_segment)
contents_clean = []
all_words = []
stopwords_lst = stopwords['stopword'].tolist()

执行代码后

C:\Users\Administrator\Anaconda3\lib\site-packages\jieba_compat.py in strdecode(sentence)
35 if not isinstance(sentence, text_type):
36 try:
—> 37 sentence = sentence.decode(‘utf-8’)
38 except UnicodeDecodeError:
39 sentence = sentence.decode(‘gbk’, ‘ignore’)

AttributeError: ‘float’ object has no attribute ‘decode’
这是因为所需要分词的文本中出现了数字的缘故，此时仅仅需要添加一个异常处理就可以正常进行了。

修改后代码

def drop_words(content):
    """去除停用词"""
    content_S = []
    try:
        global current_segment 
        current_segment = jieba.lcut(content)
    except AttributeError:
        pass
    if len(current_segment) > 1 and current_segment != '\n':  # 换行符
        content_S.append(current_segment)
    contents_clean = []
    all_words = []
    stopwords_lst = stopwords['stopword'].tolist()

因为我也是新手小白，遇到bug的时候第一反应找百度，发现有人也遇到了相同的问题，按照他的解决办法我的程序依然报错，于是只能自己想了……希望可以解决大家的问题。