pyLDAvisでのunicodeエラー

Question

前提・実現したいこと

ほかの個所はエラーが出ないのですが、ここだけユニコードエラーが出ます。
コードや入力データはすべてUTF-8で書いています。

発生している問題・エラーメッセージ

UnicodeEncodeError                        Traceback (most recent call last)
<ipython-input-250-7607677e8b6c> in <module>
      2 import pyLDAvis.sklearn
      3 pyLDAvis.enable_notebook()
----> 4 panel = pyLDAvis.sklearn.prepare(lda, X_tfidf, tv, mds='tsne')
      5 panel

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\pyLDAvis\sklearn.py in prepare(lda_model, dtm, vectorizer, **kwargs)
     93     """
     94     opts = fp.merge(_extract_data(lda_model, dtm, vectorizer), kwargs)
---> 95     return pyLDAvis.prepare(**opts)

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\pyLDAvis\_prepare.py in prepare(topic_term_dists, doc_topic_dists, doc_lengths, vocab, term_frequency, R, lambda_step, mds, n_jobs, plot_opts, sort_topics)
    396    term_frequency = np.sum(term_topic_freq, axis=0)
    397 
--> 398    topic_info         = _topic_info(topic_term_dists, topic_proportion, term_frequency, term_topic_freq, vocab, lambda_step, R, n_jobs)
    399    token_table        = _token_table(topic_info, term_topic_freq, vocab, term_frequency)
    400    topic_coordinates = _topic_coordinates(mds, topic_term_dists, topic_proportion)

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\pyLDAvis\_prepare.py in _topic_info(topic_term_dists, topic_proportion, term_frequency, term_topic_freq, vocab, lambda_step, R, n_jobs)
    252                            'Category': 'Topic%d' % new_topic_id})
    253 
--> 254    top_terms = pd.concat(Parallel(n_jobs=n_jobs)(delayed(_find_relevance_chunks)(log_ttd, log_lift, R, ls) \
    255                                                  for ls in _job_chunks(lambda_seq, n_jobs)))
    256    topic_dfs = map(topic_top_term_df, enumerate(top_terms.T.iterrows(), 1))

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\parallel.py in __call__(self, iterable)
    952 
    953         if not self._managed_backend:
--> 954             n_jobs = self._initialize_backend()
    955         else:
    956             n_jobs = self._effective_n_jobs()

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\parallel.py in _initialize_backend(self)
    719         """Build a process or thread pool and return the number of workers"""
    720         try:
--> 721             n_jobs = self._backend.configure(n_jobs=self.n_jobs, parallel=self,
    722                                              **self._backend_args)
    723             if self.timeout is not None and not self._backend.supports_timeout:

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\_parallel_backends.py in configure(self, n_jobs, parallel, prefer, require, idle_worker_timeout, **memmappingexecutor_args)
    490                 SequentialBackend(nesting_level=self.nesting_level))
    491 
--> 492         self._workers = get_memmapping_executor(
    493             n_jobs, timeout=idle_worker_timeout,
    494             env=self._prepare_worker_env(n_jobs=n_jobs),

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\executor.py in get_memmapping_executor(n_jobs, **kwargs)
     18 
     19 def get_memmapping_executor(n_jobs, **kwargs):
---> 20     return MemmappingExecutor.get_memmapping_executor(n_jobs, **kwargs)
     21 
     22 

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\executor.py in get_memmapping_executor(cls, n_jobs, timeout, initializer, initargs, env, temp_folder, context_id, **backend_args)
     40         _executor_args = executor_args
     41 
---> 42         manager = TemporaryResourcesManager(temp_folder)
     43 
     44         # reducers access the temporary folder in which to store temporary

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\_memmapping_reducer.py in __init__(self, temp_folder_root, context_id)
    529             # exposes exposes too many low-level details.
    530             context_id = uuid4().hex
--> 531         self.set_current_context(context_id)
    532 
    533     def set_current_context(self, context_id):

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\_memmapping_reducer.py in set_current_context(self, context_id)
    533     def set_current_context(self, context_id):
    534         self._current_context_id = context_id
--> 535         self.register_new_context(context_id)
    536 
    537     def register_new_context(self, context_id):

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\_memmapping_reducer.py in register_new_context(self, context_id)
    558                 new_folder_name, self._temp_folder_root
    559             )
--> 560             self.register_folder_finalizer(new_folder_path, context_id)
    561             self._cached_temp_folders[context_id] = new_folder_path
    562 

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\_memmapping_reducer.py in register_folder_finalizer(self, pool_subfolder, context_id)
    588         # semaphores and pipes
    589         pool_module_name = whichmodule(delete_folder, 'delete_folder')
--> 590         resource_tracker.register(pool_subfolder, "folder")
    591 
    592         def _cleanup():

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\externals\loky\backend\resource_tracker.py in register(self, name, rtype)
    189         '''Register a named resource, and increment its refcount.'''
    190         self.ensure_running()
--> 191         self._send('REGISTER', name, rtype)
    192 
    193     def unregister(self, name, rtype):

C:\Users\Public\anaconda3\envs\py37\lib\site-packages\joblib\externals\loky\backend\resource_tracker.py in _send(self, cmd, name, rtype)
    202 
    203     def _send(self, cmd, name, rtype):
--> 204         msg = '{0}:{1}:{2}\n'.format(cmd, name, rtype).encode('ascii')
    205         if len(name) > 512:
    206             # posix guarantees that writes to a pipe of less than PIPE_BUF

UnicodeEncodeError: 'ascii' codec can't encode characters in position 18-19: ordinal not in range(128)

該当のソースコード

import pyLDAvis
import pyLDAvis.sklearn
pyLDAvis.enable_notebook()
panel = pyLDAvis.sklearn.prepare(lda, X_tfidf, tv, mds='tsne')
panel

試したこと

ここに問題に対して試したことを記載してください。

補足情報（FW/ツールのバージョンなど）

ここにより詳細な情報を記載してください。

Comments

[quickquip]

実行しているディレクトリに日本語が入っていたりしますか?

[mkkanvas]

ご回答ありがとうございます。いいえ、入っておりません。

[quickquip]

import tempfile
print(tempfile.gettempdir())

の実行結果はどうなりますか?

[mkkanvas]

ありがとうございます。出張のため、明後日となりますが、改めて回答させていただきます。
どうぞよろしくお願いいたします。

Answer 1

Macを購入することで解決いたしました