Question

我正在尝试不同的接近方式：https://www.kaggle.com/aaron7sun/stocknews 下面的代码给出了这个错误：“ValueError：（'系列的真值是不明确的。使用a.empty，a.bool（），a.item（），a.any（）或a.all（）。 '，你在索引0'发生了''“

    import panda as pd
from bs4 import BeautifulSoup             
import re
import nltk
nltk.download()
from nltk.corpus import stopwords 
data = pd.read_csv("/Users/s7c/Documents/Untitled Folder/Combined_News_DJIA.csv/Combined_News_DJIA.csv") 
data.info()

def news_to_words(reddit_news):
    # 1. Remove HTML
    newstxt = BeautifulSoup(reddit_news).get_text() 
    #remove non-letters
    ltrs = re.sub("[^a-zA-Z]", ' ', newstxt)
    #convert to lower case/split into individual words
    wrd = ltrs.lower().split()
    #In Python, searching a set is much faster than searching
    #   a list, so convert the stop words to a set
    st = set(stopwords.words("english"))                  
    #Remove stop words
    meaningful_words = [w for w in wrd if not w in st]   
    #Join the words back into one string separated by space, 
    # and return the result.
    return(" ".join( meaningful_words)) 

train = data[data['Date'] < '2015-01-01']
test = data[data['Date'] > '2014-12-31']

#method of combining all headlines
train_comb=train.iloc[:,2:27].apply(lambda row: ''.join(str(row.values)), axis=1)
test_comb=test.iloc[:,2:27].apply(lambda row: ''.join(str(row.values)), axis=1)

new_train_comb = []
for i in range(0, len(train_comb)):
     new_train_comb.append(news_to_words(train_comb))

当我尝试迭代函数时出现错误... 任何帮助非常感谢

Answer 1

愚蠢的错误。我忘记了train_comb系列的迭代因子

new_train_comb = []
for i in range(0, len(train_comb.index)):
     new_train_comb.append(news_to_words(train_comb[i]))

自然语言编程

1 个答案: