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pythonpandasimportanacondaimporterror

Pandas importing error " ImportError: cannot import name 'DtypeArg' from 'pandas._typing' "

When I try to import pandas, it throws an error. I cannot import pandas. I re-install pandas but it keeps ont throwing the same error.

I tried running it in a local prompt and in a jupyter notebook. I think it may conflict with the pip version so I removed the package from pip. Currently I just have the conda version but still same error. What can I do?

 Traceback (most recent call last):
  File "havatahmin.py", line 1, in <module>
    import pandas as pd
  File "C:\Anaconda\envs\ED\lib\site-packages\pandas\__init__.py", line 144, in <module>
    from pandas.io.api import (
  File "C:\Anaconda\envs\ED\lib\site-packages\pandas\io\api.py", line 8, in <module>
    from pandas.io.excel import ExcelFile, ExcelWriter, read_excel
  File "C:\Anaconda\envs\ED\lib\site-packages\pandas\io\excel\__init__.py", line 1, in <module>
    from pandas.io.excel._base import ExcelFile, ExcelWriter, read_excel
  File "C:\Anaconda\envs\ED\lib\site-packages\pandas\io\excel\_base.py", line 33, in <module>
    from pandas.io.parsers import TextParser
  File "C:\Anaconda\envs\ED\lib\site-packages\pandas\io\parsers\__init__.py", line 1, in <module>
    from pandas.io.parsers.readers import (
  File "C:\Anaconda\envs\ED\lib\site-packages\pandas\io\parsers\readers.py", line 17, in <module>
    from pandas._typing import (
ImportError: cannot import name 'DtypeArg' from 'pandas._typing' (C:\Anaconda\envs\ED\lib\site-packages\pandas\_typing.py)

error

Solution

  • I confirm, it is a reproducible bug in pandas==1.3.1.

    A workaround is to downgrade it to some earlier version, e.g. pip install pandas==1.3.0.

    The woarkaround can be tested in build 20210717 of our python (3.8) CUDA-enabled containers:

    docker run -d --rm --name ml-gpu-py38-cuda112-cust -p 8888:8888 -v /home/mir:/home/jovyan mirekphd/ml-gpu-py38-cuda112-cust:20210717 && docker logs -f ml-gpu-py38-cuda112-cust

    Has it been already reported to pandas devs on Github?

    Update: The issue still persists, so I've provided a reproducible example to Pandas devs in #42506.