函数调用和plt不能画出图

Question

……………………

class yy:
    def weibo_lda(self):
        #text = self.result()
        dictionary = Dictionary(text)
        corpus = [dictionary.doc2bow(tmp) for tmp in text]
        return dictionary, corpus

    def choose_topic(self):
        dictionary, corpus = self.weibo_lda()
        texts = text
        for i in range(1,6):
            print('目前的topic个数:{}'.format(i))
            print('目前的数据量:{}'.format(len(texts)))
            temp = 'lda_{}_{}'.format(i,len(texts))
            tmp = gensim.models.ldamodel.LdaModel(corpus, num_topics=i, id2word=dictionary, passes=20)
            file_path = './{}.model'.format(temp)
            tmp.save(file_path)
            print('------------------')

    def perplexity_visible_model(self, topic_num, data_num):
        # texts = self.fenci_data()
        _, corpus = self.weibo_lda()
        x_list = []
        y_list = []
        for i in range(1,topic_num):
            model_name = './lda_{}_{}.model'.format(i, data_num)
            try:
                lda = gensim.models.ldamodel.LdaModel.load(model_name)
                perplexity = lda.log_perplexity(corpus)
                print(perplexity)
                x_list.append(i)
                y_list.append(perplexity)
            except Exception as e:
                print(e)
        plt.xlabel('num topics')
        plt.ylabel('perplexity score')
        plt.legend(('perplexity_values'), loc='best')
        plt.show()

if __name__=='__main__':
    t = yy()
    t.perplexity_visible_model(1,6)

运行这段代码时为什么def choose_topic(self):不执行，且plt画出的图是空白的

若 t.perplexity_visible_model(1,6)改为t.perplexity_visible_model(‘topic_num’, ‘data_num’)则报错：
TypeError: 'str' object cannot be interpreted as an integer

t.perplexity_visible_model()则报错：
TypeError: perplexity_visible_model() missing 2 required positional arguments: 'topic_num' and 'data_num'

请指教该如何修改

Answer 1

def choose_topic(self):不执行是因为没有调用这个方法
perplexity_visible_model这个方法定义是def perplexity_visible_model(self, topic_num, data_num)，看起来topic_num,和data_num应该是两个数字，你改成t.perplexity_visible_model(‘topic_num’, ‘data_num’)，调用传的参数是字符串是不对的
画的图空白是因为没有传数据，40行的上面加plt.plot(x_list,y_list)
另外由于for i in range(1,topic_num)，如果topic_num是1的话，i的取值范围是i>=1 and i<1是不会进入for循环的