TypeError: an integer is required (got type str) LDAvis

Question

I am new to Python and Data Science in general. I am trying to work on some LDA visualizations, but for some reason I keep getting the following error. Any help would be greatly appreciated!

Type Error: an integer is required (got type 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)

score 0 · Answer 1 · answered Mar 17 '21 at 04:12

The encoding is the 4th parameter to open, not the 3rd. Two minutes looking at the documentation would have told you that. And your second pickle call should almost certainly be load, not 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)

TypeError: an integer is required (got type str) LDAvis

1 Answers1