TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types

Question

After running this line im getting the following error: 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''

df[~(  (pd.np.isclose(df.Sizes.round(3), df.Volumes))  & (df['color'] == 'Blue')   )] 

how can I fix it?

Solution

In [152]: df=pd.DataFrame(np.arange(12.).reshape(4,3), columns=['one','two','three'])                        
In [153]: df.three[:] = ['a',np.nan,4,3.2]                                                                   
In [154]: df                                                                                                 
Out[154]: 
   one   two three
0  0.0   1.0     a
1  3.0   4.0   nan
2  6.0   7.0     4
3  9.0  10.0   3.2
In [155]: pd.np.isclose(df.one.round(3), df.two)                                                             
Out[155]: array([False, False, False, False])
In [156]: pd.np.isclose(df.one.round(3), df.three)                                                           
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-156-d99a19b1d9b5> in <module>
----> 1 pd.np.isclose(df.one.round(3), df.three)

/usr/local/lib/python3.6/dist-packages/numpy/core/numeric.py in isclose(a, b, rtol, atol, equal_nan)
   2520 
   2521     xfin = isfinite(x)
-> 2522     yfin = isfinite(y)
   2523     if all(xfin) and all(yfin):
   2524         return within_tol(x, y, atol, rtol)

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''

The test on two float32 columns works, but raises this error when one column is object dtype with non-numeric values.