python 2.7 - sklearn error ValueError: Input contains NaN, infinity or a value too large for dtype('float64') -

im using sklearn , having problems affinity propagation, have built input matrix, , keep getting following error.

valueerror: input contains nan, infinity or value large dtype('float64'). 

i have run

np.isnan(mat.any()) #and gets false np.isfinite(mat.all()) #and gets true 

i tried using

mat[np.isfinite(mat) == true] = 0 

to remove infinite values did not work either. can do rid of infinite values in matrix can use affinity propagation algorithm?

i using anaconda , python 2.7.9.

this might happen inside scikit, , depends on you're doing. recommend reading documentation functions you're using. might using 1 depends e.g. on matrix being positive definite , not fulfilling criteria.

edit: how miss that:

np.isnan(mat.any()) #and gets false np.isfinite(mat.all()) #and gets true 

is wrong. right be:

np.any(np.isnan(mat)) 

and

np.all(np.isfinite(mat)) 

you want check wheter of element nan, , not whether return value of any function number...