ValueError: could not convert string to float:

[NicolasMICAUX]

Hi
Same script that was working this morning now gives me :

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-16-8eee1c4218f9> in <module>()
     14     target=args.target,
     15     timeenc=timeenc,
---> 16     freq=args.freq
     17 )
     18 data_loader = DataLoader(

5 frames
/content/Informer2020/data/data_loader.py in __init__(self, root_path, flag, size, features, data_path, target, scale, timeenc, freq)
    216         self.root_path = root_path
    217         self.data_path = data_path
--> 218         self.__read_data__()
    219 
    220     def __read_data__(self):

/content/Informer2020/data/data_loader.py in __read_data__(self)
    244         if self.scale:
    245             train_data = df_data[border1s[0]:border2s[0]]
--> 246             self.scaler.fit(train_data.values)
    247             data = self.scaler.transform(df_data.values)
    248         else:

/usr/local/lib/python3.7/dist-packages/sklearn/preprocessing/_data.py in fit(self, X, y)
    667         # Reset internal state before fitting
    668         self._reset()
--> 669         return self.partial_fit(X, y)
    670 
    671     def partial_fit(self, X, y=None):

/usr/local/lib/python3.7/dist-packages/sklearn/preprocessing/_data.py in partial_fit(self, X, y)
    698         X = check_array(X, accept_sparse=('csr', 'csc'),
    699                         estimator=self, dtype=FLOAT_DTYPES,
--> 700                         force_all_finite='allow-nan')
    701 
    702         # Even in the case of `with_mean=False`, we update the mean anyway

/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py in check_array(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)
    529                     array = array.astype(dtype, casting="unsafe", copy=False)
    530                 else:
--> 531                     array = np.asarray(array, order=order, dtype=dtype)
    532             except ComplexWarning:
    533                 raise ValueError("Complex data not supported\n"

/usr/local/lib/python3.7/dist-packages/numpy/core/_asarray.py in asarray(a, dtype, order)
     81 
     82     """
---> 83     return array(a, dtype, copy=False, order=order)
     84 
     85 

ValueError: could not convert string to float: 

Note : args.freq = 'h' # freq for time features encoding

[NicolasMICAUX]

My mistake, I had a bad value in my csv file.
The error was just weird in, seemingly pointing at "args.freq" line.