ValueError: cannot convert to 'int64'-dtype NumPy array with missing values. Specify an appropriate 'na_value' for this dtype.

问题：

解决：

完整错误：

问题：

注意，使用Int64可，此处I大写，但是在进入算法模型的时候又会出现问题，包庇了缺失值；

df_in['label'] = df_in['label'].astype('Int64')

使用小写int64，发生错误；

df_in = df_origin
#'int64'
df_in['label'] = df_in['label'].astype('int64')

解决：

正确的做法在缺失值填充之后再进行格式转换处理；

df_in = df_origin
#'int64'
# df_in['label'] = df_in['label'].astype('int64')df_in = df_in.fillna(0)
df_in['label'] = df_in['label'].astype('int64')

完整错误：

---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
<ipython-input-60-f515db1e7d91> in <module>
1 df_in = df_origin
2 #'Int64'
----> 3 df_in['label'] = df_in['label'].astype(np.int64)

D:\anaconda\lib\site-packages\pandas\core\generic.py in astype(self, dtype, copy, errors)
5875 else:
5876 # else, only a single dtype is given
-> 5877 new_data = self._mgr.astype(dtype=dtype, copy=copy, errors=errors)
5878 return self._constructor(new_data).__finalize__(self, method="astype")
5879

D:\anaconda\lib\site-packages\pandas\core\internals\managers.py in astype(self, dtype, copy, errors)
629 self, dtype, copy: bool = False, errors: str = "raise"
630 ) -> "BlockManager":
--> 631 return self.apply("astype", dtype=dtype, copy=copy, errors=errors)
632
633 def convert(

D:\anaconda\lib\site-packages\pandas\core\internals\managers.py in apply(self, f, align_keys, ignore_failures, **kwargs)
425 applied = b.apply(f, **kwargs)
426 else:
--> 427 applied = getattr(b, f)(**kwargs)
428 except (TypeError, NotImplementedError):
429 if not ignore_failures:

D:\anaconda\lib\site-packages\pandas\core\internals\blocks.py in astype(self, dtype, copy, errors)
646 if self.is_extension:
647 try:
--> 648 values = self.values.astype(dtype)
649 except (ValueError, TypeError):
650 if errors == "ignore":

D:\anaconda\lib\site-packages\pandas\core\arrays\integer.py in astype(self, dtype, copy)
472 na_value = lib.no_default
473
--> 474 return self.to_numpy(dtype=dtype, na_value=na_value, copy=False)
475
476 def _values_for_argsort(self) -> np.ndarray:

D:\anaconda\lib\site-packages\pandas\core\arrays\masked.py in to_numpy(self, dtype, copy, na_value)
219 ):
220 raise ValueError(
--> 221 f"cannot convert to '{dtype}'-dtype NumPy array "
222 "with missing values. Specify an appropriate 'na_value' "
223 "for this dtype."

ValueError: cannot convert to 'int64'-dtype NumPy array with missing values. Specify an appropriate 'na_value' for this dtype.

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ValueError: cannot convert to ‘int64‘-dtype NumPy array with missing values. Specify an appropriate

ValueError: cannot convert to 'int64'-dtype NumPy array with missing values. Specify an appropriate 'na_value' for this dtype.

问题：

解决：

完整错误：

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