[英]TypeError: an integer is required (got type str) LDAvis
I am new to Python and Data Science in general.我是 Python 和数据科学的新手。 I am trying to work on some LDA visualizations, but for some reason I keep getting the following error.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。 Any help would be greatly appreciated!任何帮助将不胜感激!
Type Error: an integer is required (got type str)类型错误:需要 integer(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)
The encoding is the 4th parameter to open
, not the 3rd.编码是open
的第四个参数,而不是第三个。 Two minutes looking at the documentation would have told you that.看文档两分钟就会告诉你这一点。 And your second pickle
call should almost certainly be load
, not dump
.而且您的第二个pickle
调用几乎可以肯定是load
,而不是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)
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