TypeError: ufunc 'isfinite' not supported with numpy 1.24.0

[Rizwan-Hasan]

This is the code that I ran

import matplotlib.pyplot as plt
import seaborn as sns

fmri = sns.load_dataset("fmri")
fmri.info()

sns.set(style="darkgrid")
sns.lineplot(data=fmri, x="timepoint", y="signal", hue="region", style="event")

plt.show()

This is the error I got

❯ python3 example.py   
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 1064 entries, 0 to 1063
Data columns (total 5 columns):
 #   Column     Non-Null Count  Dtype  
---  ------     --------------  -----  
 0   subject    1064 non-null   object 
 1   timepoint  1064 non-null   int64  
 2   event      1064 non-null   object 
 3   region     1064 non-null   object 
 4   signal     1064 non-null   float64
dtypes: float64(1), int64(1), object(3)
memory usage: 41.7+ KB
Traceback (most recent call last):
  File "/home/rizwan/Downloads/Seaborn-Issue/example.py", line 8, in <module>
    sns.lineplot(
  File "/home/rizwan/Miniconda3/envs/py39/lib/python3.9/site-packages/seaborn/relational.py", line 645, in lineplot
    p.plot(ax, kwargs)
  File "/home/rizwan/Miniconda3/envs/py39/lib/python3.9/site-packages/seaborn/relational.py", line 489, in plot
    func(
  File "/home/rizwan/Miniconda3/envs/py39/lib/python3.9/site-packages/matplotlib/__init__.py", line 1423, in inner
    return func(ax, *map(sanitize_sequence, args), **kwargs)
  File "/home/rizwan/Miniconda3/envs/py39/lib/python3.9/site-packages/matplotlib/axes/_axes.py", line 5367, in fill_between
    return self._fill_between_x_or_y(
  File "/home/rizwan/Miniconda3/envs/py39/lib/python3.9/site-packages/matplotlib/axes/_axes.py", line 5272, in _fill_between_x_or_y
    ind, dep1, dep2 = map(
  File "/home/rizwan/Miniconda3/envs/py39/lib/python3.9/site-packages/numpy/ma/core.py", line 2360, in masked_invalid
    return masked_where(~(np.isfinite(getdata(a))), a, copy=copy)
TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

Environment

• Python 3.9.15
• Seaborn 0.12.1
• Matplotlib 3.6.2
• Pandas 1.5.2
• Numpy 1.24.0

This error only occurs when I use numpy 1.24.0, version 1.23.5 or lower works as usual.

[mwaskom]

Yes see numpy/numpy#22826

[mwaskom]

Numpy has put a fix in on their end for a 1.24.1 (numpy/numpy#22838) and seaborn has added numpy 1.24.0 as an anti-dependency going forward (#3194) so I'm going to close this for now.

I expect people will continue landing here; the solution is to not use numpy 1.24.0, meaning downgrading to 1.23 until 1.24.1 is released so upgrade to 1.24.1 (which was released on Dec. 26).

[GiscardBiamby]

I am getting this error with numpy 1.26.3, seaborn 0.13.1, matplotlib 3.8.2, python 3.10.0.

I'm running the same exact code to replicate the error as in the OP.