bug fix: missing data, adding an additional type: pandas._lib.missing.NAType in addition to np.nan, np.na

data/maker/__init__.py

@@ -98,8 +98,7 @@ class Learner(Process):
         # - The code below tries to address the issue (Perhaps better suited for the reading components)
         for name in columns :
             _index = np.random.choice(np.arange(self._df[name].size),5,False)
-            no_value = [type(value) in [int,float,np.int64,np.int32,np.float32,np.float64] for value in self._df[name].values[_index]]
+            no_value = [type(value) in [int,float,np.int64,np.int32,np.float32,np.float64] for value in self._df[name].values[_index]]            
-            print ([name,np.sum(no_value)])
             no_value = 0 if np.sum(no_value) > 0 else ''
             
             self._df[name] = self._df[name].fillna(no_value)

data/maker/prepare/__init__.py

@@ -196,7 +196,6 @@ class Input :
         :param rows     np.array or list of vector of values
         :param cols     a space of values if it were to be different fromt he current sample.
         """
-        
         if not cols:
             #
             # In the advent the sample rows do NOT have the values of the