IntCastingNaNError: Nicht-endliche Werte (NA oder inf) können nicht in Ganzzahlen konvertiert werden ⇐ Python

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Während ich diese bestimmte Codezeile ausführe, wird die Fehlermeldung angezeigt, dass eine bestimmte Spalte mit dem String-Datentyp in numerische Werte konvertiert werden muss

Code: Select all

data['sex'] = data['sex'].map( {'male': 1, 'female': 0} ).astype("int64")

Fehlermeldung

Code: Select all

IntCastingNaNError                        Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_8608/2590375292.py in 
2 #Male=1, Female=0
3 #Converting sex to numerical variable in data
----> 4 data['sex'] = data['sex'].map( {'male': 1, 'female': 0} ).astype("int64")
5
6 #Converting resting_ecg to numerical variable in data

~\anaconda3\lib\site-packages\pandas\core\generic.py in astype(self, dtype, copy, errors)
5813         else:
5814             # else, only a single dtype is given
-> 5815             new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors)
5816             return self._constructor(new_data).__finalize__(self, method="astype")
5817

~\anaconda3\lib\site-packages\pandas\core\internals\managers.py in astype(self, dtype, copy, errors)
416
417     def astype(self: T, dtype, copy: bool = False, errors: str = "raise") -> T:
--> 418         return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
419
420     def convert(

~\anaconda3\lib\site-packages\pandas\core\internals\managers.py in apply(self, f, align_keys, ignore_failures, **kwargs)
325                     applied = b.apply(f, **kwargs)
326                 else:
--> 327                     applied = getattr(b, f)(**kwargs)
328             except (TypeError, NotImplementedError):
329                 if not ignore_failures:

~\anaconda3\lib\site-packages\pandas\core\internals\blocks.py in astype(self, dtype, copy, errors)
589         values = self.values
590
--> 591         new_values = astype_array_safe(values, dtype, copy=copy, errors=errors)
592
593         new_values = maybe_coerce_values(new_values)

~\anaconda3\lib\site-packages\pandas\core\dtypes\cast.py in astype_array_safe(values, dtype, copy, errors)
1307
1308     try:
-> 1309         new_values = astype_array(values, dtype, copy=copy)
1310     except (ValueError, TypeError):
1311         # e.g. astype_nansafe can fail on object-dtype of strings

~\anaconda3\lib\site-packages\pandas\core\dtypes\cast.py in astype_array(values, dtype, copy)
1255
1256     else:
-> 1257         values = astype_nansafe(values, dtype, copy=copy)
1258
1259     # in pandas we don't store numpy str dtypes, so convert to object

~\anaconda3\lib\site-packages\pandas\core\dtypes\cast.py in astype_nansafe(arr, dtype, copy, skipna)
1166
1167     elif np.issubdtype(arr.dtype, np.floating) and np.issubdtype(dtype, np.integer):
-> 1168         return astype_float_to_int_nansafe(arr, dtype, copy)
1169
1170     elif is_object_dtype(arr):

~\anaconda3\lib\site-packages\pandas\core\dtypes\cast.py in astype_float_to_int_nansafe(values, dtype, copy)
1211     """
1212     if not np.isfinite(values).all():
-> 1213         raise IntCastingNaNError(
1214             "Cannot convert non-finite values (NA or inf) to integer"
1215         )

IntCastingNaNError: Cannot convert non-finite values (NA or inf) to integer

Ich muss es in kategoriale Werte umwandeln
Wer die Lösung kennt, bitte helfen Sie mir