Array NaN values? ValueError: continuous format is not supported

[metalray]

OK, thanks for the hints. I have the feeling the continous format error is not because of NaN values. The array does look a bit odd with all the spaces in it.

def new_model():

    print(fpr) 
    print(tpr)
            
    print(np.argwhere(np.isnan(fpr))) 
    print(np.argwhere(np.isnan(tpr)))

    auc_roc = roc_auc_score(fpr, tpr)
            
    return
new_model()

fpr: [ 0. 0.98952194 1. ]
tpr: [ 0. 0.98547329 1. ]

Error:
ValueError                                Traceback (most recent call last)
<ipython-input-2-82b3904c67a1> in <module>()
     85     #print('auc on validation set {}'.format(auc_roc))
     86     return #roc_auc
---> 87 blight_model()
     88 
     89 #The target variable is compliance =

<ipython-input-2-82b3904c67a1> in blight_model()
     80 
     81     #"roc_auc" is a classification or ranking metric, not a regression metric. So it doesn't accept continuous
---> 82     auc_roc = roc_auc_score(fpr, tpr)
     83 
     84 

/opt/conda/lib/python3.5/site-packages/sklearn/metrics/ranking.py in roc_auc_score(y_true, y_score, average, sample_weight)
    258     return _average_binary_score(
    259         _binary_roc_auc_score, y_true, y_score, average,
--> 260         sample_weight=sample_weight)
    261 
    262 

/opt/conda/lib/python3.5/site-packages/sklearn/metrics/base.py in _average_binary_score(binary_metric, y_true, y_score, average, sample_weight)
     79     y_type = type_of_target(y_true)
     80     if y_type not in ("binary", "multilabel-indicator"):
---> 81         raise ValueError("{0} format is not supported".format(y_type))
     82 
     83     if y_type == "binary":

ValueError: continuous format is not supported