AttributeError: module 'numpy' has no attribute 'float'.

[alcarnielo]

While performing a linear simple plot of the small DataFrame below:

        aoa        Cl        Cd   CL_corr   CD_corr
aoa00   0.0  0.001924  0.047507  0.001924  0.047507
aoa05   5.0  2.720128 -0.186944  2.726070  0.050842
aoa10  10.0  5.052481 -0.813212  5.116935  0.076496
aoa15  15.0  6.151317 -1.359491  6.293578  0.278911
aoa16  16.0  5.907987 -1.253804  6.024717  0.423229

when I run the following line:

sns.lineplot(data=df, x='CD_corr', y='CL_corr')

I faced the following error:

AttributeError: module 'numpy' has no attribute 'float'.
`np.float` was a deprecated alias for the builtin `float`. To avoid this error in existing code, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
The aliases was originally deprecated in NumPy 1.20; for more details and guidance see the original release note at:
    https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations

This error happens only on the lineplot method. I also tried the scatterplot (below) and it worked perffectly.

sns.scatterplot(data=df, x='CD_corr', y='CL_corr')

[thuiop]

What version of seaborn are you using ? I expect this problem would go away by updating to the latest version. Also, it would be best to provide an easily reproducible example instead of a custom dataframe.

[alcarnielo]

Bellow is the information of my seaborn obtained using conda list seaborn

# Name                    Version                   Build  Channel
seaborn                   0.10.1                     py_0    conda-forge
seaborn-base              0.12.1             pyhd8ed1ab_0 

The simple example replicating the issue that you request is below:

import pandas as pd
import seaborn as sns

a = {
     'A': [1,2,3,4,5,6],
     'B': [6,5,4,3,2,1]
     }

sns.lineplot(data=a, x='A', y='B')

[jhncls]

Did you try to upgrade seaborn? (Or downgrade numpy?) The packages seaborn is built on (matplotlib, numpy, pandas, scipy, ...) frequently introduce non-compatible changes, and the only way to cope, is to upgrade seaborn (or downgrade the conflicting library). Note that seaborn 0.10.1 is from April 2020.

[alcarnielo]

I tried. with conda update seaborn just after the issue appeared to solve the issue, but it is still present there.

[thuiop]

Your version of seaborn is severely outdated, the current version is 0.13. I am not sure why you have such an old version since Anaconda distributes 0.12 ; I recommend using conda-forge to install the latest version of seaborn.

[mwaskom]

Looks like this was addressed in seaborn back in 2020: #2236

Your environment looks wonky as you have both seaborn and seaborn-base. I'd sort that out and then make sure that when you do import seaborn you're actually getting the updated version (print(seaborn.__version__))