python之如何从函数的结果中删除 None

对不起，我还是解决不了这个None的问题。我正在使用 NMF 算法来获取语料库的主题，然后尝试检索每个主题所附的文档。但没有人能阻止我!当我尝试检索文档时出现错误

脚本:

import pandas 
import numpy as np 
import pandas as pd 
from sklearn.decomposition import NMF 
from sklearn.feature_extraction.text import TfidfVectorizer 
 
def display_topics(model, feature_names, n_top_words): 
    for topic_idx, topic in enumerate(model.components_): 
        print "Topic %d:" % (topic_idx) 
        print " ".join([feature_names[i] for i in topic.argsort()[:-n_top_words - 1:-1]])   
 
text = pandas.read_csv('pretraitement_virgile.csv', encoding = 'utf-8') 
good_text = text['phrase'] 
bad_text = text['raw_phrase'] 
bad_text_list = bad_text.values.tolist() 
good_text_list = good_text.values.tolist() 
 
tfidf_vectorizer = TfidfVectorizer() 
tfidf = tfidf_vectorizer.fit_transform(good_text_list) 
tfidf_feature_names = tfidf_vectorizer.get_feature_names() 
 
topics_number = 3 
 
# Run NMF 
nmf = NMF(n_components=topics_number, random_state=1, alpha=.1, l1_ratio=.5, init='nndsvd').fit(tfidf) 
document_topics = nmf.fit_transform(tfidf) 
 
n_top_words = 10 
print 'NMF topics' 
topics = display_topics(nmf, tfidf_feature_names, n_top_words) 
print topics 
 
print  
 
print 'Documents per topic' 
for topic in range(len(topics)):  
    if topic == None: 
        pass 
    else: 
        print("Topic {}:".format(topic)) 
        docs = np.argsort(document_topics[:, topic])[::-1] 
        for mail in docs[:3]: 
            bad_text_list_n = " ".join(bad_text_list[mail].split(",")[:2]) 
            print (" ".join(good_text_list[mail].split(",")[:2]) + ',' + bad_text_list_n) 

我试图设置一个忽略名称的条件，但它不起作用。我仍然有同样的错误。

Topic 0:

order cancel delivery date not want store always well ahead

Topic 1:

product not broken only package arrived received color color delivered

Topic 2:

product not return site store receipt order available in advance

None

Documents par topic

Traceback (most recent call last): File "NMF.py", line 49, in for topic in range(len(topics)):

TypeError: object of type 'NoneType' has no len()

我需要这个结果:

Topic 0:

order cancel delivery date not want store always well ahead

Topic 1:

product not broken only package arrived received color color delivered

Topic 2:

product not return site store receipt order available in advance

Documents par topic

Topic 0:

text text text

text text text

text text text

Topic 1:

text text text

text text text

text text text

Topic 2:

text text text

text text text

text text text

一些(愚蠢的)数据示例:

phrase,raw_phrase 
delicious fruit mango, the mango is a delicious fruit 
important object computer, the computer is an important object 
popular banana fruit, banana is a popular fruit 
pen important thing, pen is an important thing 
purple grape, the grape is purple 
phone world object, the phone is a worldwide object 

请您参考如下方法:

您的过程 display_topics 不返回任何内容，但您将它的结果分配给变量 topics，然后将其设置为 Null。而且您不能遍历 Null 对象。