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总的来说，我是 Python 和数据科学的新手。我正在尝试处理一些 LDA 可视化，但由于某种原因，我不断收到以下错误。任何帮助将不胜感激！

类型错误：需要一个整数（获取类型 str）

import os
LDAvis_data_filepath = os.path.join('./ldavis_prepared_'+str(number_topics))
# # this is a bit time consuming - make the if statement True
# # if you want to execute visualization prep yourself
if 1 == 1:
    LDAvis_prepared = sklearn_lda.prepare(lda, count_data, count_vectorizer)
with open(LDAvis_data_filepath, 'wb', 'utf-8') as f:
        pickle.dump(LDAvis_prepared, f)
        #load the pre-prepared pyLDAvis data from disk
with open(LDAvis_data_filepath,'rb', 'utf-8') as f:
    pickle.dump(LDAvis_prepared, f)
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-110-4459335c1578> in <module>
----> 1 with open(LDAvis_data_filepath, 'wb', 'utf-8') as f:
      2         pickle.dump(LDAvis_prepared, f)
      3         # load the pre-prepared pyLDAvis data from disk
      4 with open(LDAvis_data_filepath,'rb', 'utf-8') as f:
      5     pickle.dump(LDAvis_prepared, f)

TypeError: an integer is required (got type str)
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1 回答 1

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编码是 的第四个参数open，而不是第三个。看文档两分钟就会告诉你这一点。你的第二个pickle电话应该几乎肯定是load，不是dump。

with open(LDAvis_data_filepath, 'wb', encoding='utf-8') as f:
    pickle.dump(LDAvis_prepared, f)
    #load the pre-prepared pyLDAvis data from disk
with open(LDAvis_data_filepath, 'rb', encoding='utf-8') as f:
    pickle.load(LDAvis_prepared, f)
于 2021-03-17T04:12:13.307 回答