jupyter中Unicode的问题，怎么修改？

Question

import pyLDAvis
import pyLDAvis.sklearn

pyLDAvis.enable_notebook()
pic = pyLDAvis.sklearn.prepare(lda, tf, tf_vectorizer)
pyLDAvis.save_html(pic, 'lda_pass'+str(n_topics)+'.html')
pyLDAvis.show(pic)

UnicodeEncodeError                        Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_8172/1071317399.py in <module>
      1 pyLDAvis.enable_notebook()
----> 2 pic = pyLDAvis.sklearn.prepare(lda, tf, tf_vectorizer)
      3 pyLDAvis.save_html(pic, 'lda_pass'+str(n_topics)+'.html')
      4 pyLDAvis.show(pic)

C:\ProgramData\Anaconda3\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:\ProgramData\Anaconda3\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, start_index)
    437     term_frequency = np.sum(term_topic_freq, axis=0)
    438 
--> 439     topic_info = _topic_info(topic_term_dists, topic_proportion,
    440                              term_frequency, term_topic_freq, vocab, lambda_step, R,
    441                              n_jobs, start_index)

C:\ProgramData\Anaconda3\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, start_index)
    274         ])
    275 
--> 276     top_terms = pd.concat(Parallel(n_jobs=n_jobs)
    277                           (delayed(_find_relevance_chunks)(log_ttd, log_lift, R, ls)
    278                           for ls in _job_chunks(lambda_seq, n_jobs)))

C:\ProgramData\Anaconda3\lib\site-packages\joblib\parallel.py in __call__(self, iterable)
    966 
    967         if not self._managed_backend:
--> 968             n_jobs = self._initialize_backend()
    969         else:
    970             n_jobs = self._effective_n_jobs()

C:\ProgramData\Anaconda3\lib\site-packages\joblib\parallel.py in _initialize_backend(self)
    733         """Build a process or thread pool and return the number of workers"""
    734         try:
--> 735             n_jobs = self._backend.configure(n_jobs=self.n_jobs, parallel=self,
    736                                              **self._backend_args)
    737             if self.timeout is not None and not self._backend.supports_timeout:

C:\ProgramData\Anaconda3\lib\site-packages\joblib\_parallel_backends.py in configure(self, n_jobs, parallel, prefer, require, idle_worker_timeout, **memmappingexecutor_args)
    492                 SequentialBackend(nesting_level=self.nesting_level))
    493 
--> 494         self._workers = get_memmapping_executor(
    495             n_jobs, timeout=idle_worker_timeout,
    496             env=self._prepare_worker_env(n_jobs=n_jobs),

C:\ProgramData\Anaconda3\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:\ProgramData\Anaconda3\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:\ProgramData\Anaconda3\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:\ProgramData\Anaconda3\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:\ProgramData\Anaconda3\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:\ProgramData\Anaconda3\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:\ProgramData\Anaconda3\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:\ProgramData\Anaconda3\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 18-20: ordinal not in range(128)

这个怎么解决呀