TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type

Reproducing code example:

import numpy as np
<< your code here >>
import numpy as np
import pandas as pd
df=pd.read_csv('link')
df.info() and df.describe() gives error as "TypeError: Cannot interpret '<attribute 'dtype' of 'numpy.generic' objects>' as a data type" and also plotting(df.plot()) gives same error.

Error message:

NumPy/Python version information:

Issue Analytics

State:
Created 3 years ago
Comments:29 (9 by maintainers)

Top GitHub Comments

30reactions

sebergcommented, Feb 7, 2021

There is a unfortuate incompatibility with old pandas and 1.20. Updating pandas to a newer version should fix it, see also https://github.com/pandas-dev/pandas/issues/39520#issuecomment-772630011

Updating to pandas>=1.0.5 should solve it. Supposedly also pandas==0.25.3 works. If you are stuck with pandas 0.24.x you may not be able to usse numpy 1.20.x though, unfortunaly. In that case, use numpy<1.20,

4reactions

jessdwitchcommented, Feb 10, 2021

Hey sorry for disappearing, but you were totally right. For some reason the Conda environment was using the pandas from within the env, but the numpy from outside, causing the conflict. We ended up just downgrading the numpy from outside the env to match the one within the env and everything is happy now. Thank you so much!

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