AttributeError：“float”对象没有属性“lower”

我面临这个属性错误，并且我陷入了如何处理浮点值（如果它们出现在推文中）的问题。流式推文必须小写并标记化，因此我使用了 split 函数。

有人可以帮我解决这个问题，有任何解决方法或解决方案吗？

这是error我正在…

AttributeError                            Traceback (most recent call last)
<ipython-input-28-fa278f6c3171> in <module>()
      1 stop_words = []
----> 2 negfeats = [(word_feats(x for x in p_test.SentimentText[f].lower().split() if x not in stop_words), 'neg') for f in l]
      3 posfeats = [(word_feats(x for x in p_test.SentimentText[f].lower().split() if x not in stop_words), 'pos') for f in p]
      4 
      5 trainfeats = negfeats+ posfeats

AttributeError: 'float' object has no attribute 'lower'

这是我的代码

p_test = pd.read_csv('TrainSA.csv')

stop_words = [ ]

def word_feats(words):

    return dict([(word, True) for word in words])


l = [ ]

for f in range(len(p_test)):

    if p_test.Sentiment[f] == 0:

        l.append(f)



p = [ ]

for f in range(len(p_test)):

    if p_test.Sentiment[f] == 1:

        p.append(f) 




negfeats = [(word_feats(x for x in p_test.SentimentText[f].lower().split() if x not in stop_words), 'neg') for f in l]

posfeats = [(word_feats(x for x in p_test.SentimentText[f].lower().split() if x not in stop_words), 'pos') for f in p]


trainfeats = negfeats+ posfeats

print len(trainfeats)


import random 

random.shuffle(trainfeats)

print(len(trainfeats))




p_train = pd.read_csv('TrainSA.csv')


l_t = []

for f in range(len(p_train)):

    if p_train.Sentiment[f] == 0:

        l_t.append(f)


p_t = []

for f in range(len(p_train)):

    if p_train.Sentiment[f] == 1:

        p_t.append(f)        

print len(l_t)

print len(p_t)

我尝试了很多方法，但仍然无法让他们使用 lower 和 split 功能。

谢谢@迪克·克尼普。是的，它是 Pandas CSV 阅读器。你的建议奏效了。 以下是通过指定字段数据类型为我工作的Python代码， （在本例中为它的字符串）

p_test = pd.read_csv('TrainSA.csv')
p_test.SentimentText=p_test.SentimentText.astype(str)