将对象转换为 int - ValueError: int() 以 10 为基数的无效文字：'104.559'

Question

尝试将一列对象转换为整数，但不断收到错误消息。

dataTypeSeries = mj.dtypes 
print(dataTypeSeries)

Dataframe各列数据类型：

Region             object

Ad_Impressions     object

Clicks            float64

dtype: object

mj["Clicks"] = mj.Clicks.astype(int)
print(dataTypeSeries)
#Converting the click data

Region            object

Ad_Impressions    object

Clicks             int64

dtype: object

那里没有问题

mj['Ad_Impressions'].astype(str).astype(int) 
#Try the same with impressions, get this error

---

ValueError                                Traceback (most recent call last)
/var/folders/ky/2j2r1h6d75qf92ks05h9p9180000gn/T/ipykernel_28774/1132458541.py in <module>
----> 1 mj['Ad_Impressions'].astype(str).astype(int)

/opt/anaconda3/lib/python3.9/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 

/opt/anaconda3/lib/python3.9/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(

/opt/anaconda3/lib/python3.9/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:

/opt/anaconda3/lib/python3.9/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)

/opt/anaconda3/lib/python3.9/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

/opt/anaconda3/lib/python3.9/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

/opt/anaconda3/lib/python3.9/site-packages/pandas/core/dtypes/cast.py in astype_nansafe(arr, dtype, copy, skipna)
   1172         # work around NumPy brokenness, #1987
   1173         if np.issubdtype(dtype.type, np.integer):
-> 1174             return lib.astype_intsafe(arr, dtype)
   1175 
   1176         # if we have a datetime/timedelta array of objects

/opt/anaconda3/lib/python3.9/site-packages/pandas/_libs/lib.pyx in pandas._libs.lib.astype_intsafe()

ValueError: invalid literal for int() with base 10: '104.559'