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I am using Google Colab and trying to use PyLDAvis to visualize a topic modelling model made from gensim. The python code was working fine but has suddenly started to give me the error:

ImportError: cannot import name '_NUMEXPR_INSTALLED' from 'pandas.core.computation.check' (/usr/local/lib/python3.7/dist-packages/pandas/core/computation/check.py)

The error comes from the line from pandas.core.computation.check import NUMEXPR_INSTALLED in the file /usr/local/lib/python3.7/dist-packages/pandas/core/computation/eval.py. I believe this line is being called by pyLDAvis.gensim_models.prepare.

I tried putting !pip install numexpr but it doesn't get rid of the error. What is surprising is that when I call !pip install numexpr, the output is:

Requirement already satisfied: numexpr in /usr/local/lib/python3.7/dist-packages (2.7.3)
Requirement already satisfied: numpy>=1.7 in /usr/local/lib/python3.7/dist-packages (from numexpr) (1.20.2)

which means that numexpr can be found in /usr/local/lib/python3.7/dist-packages

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  • The current version of pandas has NUMEXPR_INSTALLED, but not _NUMEXPR_INSTALLED. Can you double-check your "eval.py" and "check.py" and make sure they match? Commented May 5, 2021 at 21:39
  • You may need to upgrade pandas in Colab. PyLDAvis requires >= 1.2, while Colab's installed version is 1.1.5. So try !pip install --upgrade pandas. Commented May 5, 2021 at 21:40
  • @TimRoberts any idea how to do that in Google Colab? Commented May 5, 2021 at 22:02
  • @AlexK that didn't work Commented May 5, 2021 at 22:02
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    @AvinashKumar in response to your question to @TimRoberts, in Colab you can use Unix commands to work with files: !cat /usr/local/lib/python3.7/dist-packages/pandas/core/computation/check.py will print the contents of check.py. Commented May 5, 2021 at 22:47

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@AlexK's answer worked for me. I just had to specify which version of pandas to use in order for Colab to actually upgrade with:

!pip install --upgrade pandas==1.2
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