TypeError: ufunc 'isnan' not supported for the input types

[napvasconcelos]

Hi,

From here:
annotator = Annotator(ax, pairs, data=df, x="group", y="fr", order=order)
(...)
I got this error msg:

200 if np.isnan(x).any() or np.isnan(y).any():
201 raise ValueError('xandy must not contain NaNs.')
202 if np.size(x) == 0 or np.size(y) == 0:

TypeError: ufunc 'isnan' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''

However a just checked the source dataframe and there is nan in those columns:

df[['group','fr']].isna().any()

group    False
fr       False
dtype: bool

May you, please, help me on this?

Best,
Nivaldo

[trevismd]

Hi! The problem is not that there would be any NaN values, but that the check with np.isnan() failed to evaluate what is in X or Y.
Please provide more details about the data and where from in statannotations the error originated (with the full stack trace) so we can have a deeper look.

[Scheket]

Hi, I had the same problem and had to # here in

File _mannwhitneyu.py:200 in _mwu_input_validation:

def _mwu_input_validation(x, y, use_continuity, alternative, axis, method):
''' Input validation and standardization for mannwhitneyu '''
# Would use np.asarray_chkfinite, but infs are OK
x, y = np.atleast_1d(x), np.atleast_1d(y)

if np.isnan(x).any() or np.isnan(y).any():

raise ValueError('x and y must not contain NaNs.')

if np.size(x) == 0 or np.size(y) == 0:
    raise ValueError('`x` and `y` must be of nonzero size.')

After that everything is working.

Can you please fix?