设置类型无序--蟒-熊猫的错误

Question

我知道我必须走这一步，但我不知道该怎么做：

通过使用NASA空间科学数据协调档案馆，我们收集了每个任务中使用的每个模块的信息。与您在创建示例表时一样，创建了6个新列，3个用于月球模块，3个用于命令模块：

• 模块名称
• 模块质量
• 模块质量差异

用0填写任何NaN值：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_8184/2992438938.py in <module>
----> 1 missions['Lunar module (LM)'] = {'Eagle (LM-5)', 'Intrepid (LM-6)', 'Antares (LM-8)', 'Falcon (LM-10)', 'Orion (LM-11)', 'Challenger (LM-12)'}
      2 missions['LM mass (kg)'] = {15103, 15235, 15264, 16430, 16445, 16456}
      3 missions['LM mass diff'] = missions['LM mass (kg)'].diff()
      4 missions['LM mass diff'] = missions['LM mass diff'].fillna(value=0)
      5 

C:\ProgramData\Miniconda3\lib\site-packages\pandas\core\frame.py in __setitem__(self, key, value)
   3610         else:
   3611             # set column
-> 3612             self._set_item(key, value)
   3613 
   3614     def _setitem_slice(self, key: slice, value):

C:\ProgramData\Miniconda3\lib\site-packages\pandas\core\frame.py in _set_item(self, key, value)
   3782         ensure homogeneity.
   3783         """
-> 3784         value = self._sanitize_column(value)
   3785 
   3786         if (

C:\ProgramData\Miniconda3\lib\site-packages\pandas\core\frame.py in _sanitize_column(self, value)
   4508         if is_list_like(value):
   4509             com.require_length_match(value, self.index)
-> 4510         return sanitize_array(value, self.index, copy=True, allow_2d=True)
   4511 
   4512     @property

C:\ProgramData\Miniconda3\lib\site-packages\pandas\core\construction.py in sanitize_array(data, index, dtype, copy, raise_cast_failure, allow_2d)
    557         if isinstance(data, (set, frozenset)):
    558             # Raise only for unordered sets, e.g., not for dict_keys
--> 559             raise TypeError(f"'{type(data).__name__}' type is unordered")
    560 
    561         # materialize e.g. generators, convert e.g. tuples, abc.ValueView

TypeError: 'set' type is unordered

所用代码：

missions['Lunar module (LM)'] = ['Eagle (LM-5)', 'Intrepid (LM-6)', 'Antares (LM-8)', 'Falcon (LM-10)', 'Orion (LM-11)', 'Challenger (LM-12)']
missions['LM mass (kg)'] = {15103, 15235, 15264, 16430, 16445, 16456}
missions['LM mass diff'] = missions['LM mass (kg)'].diff()
missions['LM mass diff'] = missions['LM mass diff'].fillna(value=0)

missions['Command module (CM)'] = ['Columbia (CSM-107)', 'Yankee Clipper (CM-108)', 'Kitty Hawk (CM-110)', 'Endeavor (CM-112)', 'Casper (CM-113)', 'America (CM-114)']
missions['CM mass (kg)'] = {5560, 5609, 5758, 5875, 5840, 5960}
missions['CM mass diff'] = missions['CM mass (kg)'].diff()
missions['CM mass diff'] = missions['CM mass diff'].fillna(value=0)

missions

儿科用户：

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_8184/3771249595.py in <module>
      1 missions['Lunar module (LM)'] = ['Eagle (LM-5)', 'Intrepid (LM-6)', 'Antares (LM-8)', 'Falcon (LM-10)', 'Orion (LM-11)', 'Challenger (LM-12)']
----> 2 missions['LM mass (kg)'] = {15103, 15235, 15264, 16430, 16445, 16456}
      3 missions['LM mass diff'] = missions['LM mass (kg)'].diff()
      4 missions['LM mass diff'] = missions['LM mass diff'].fillna(value=0)
      5 

C:\ProgramData\Miniconda3\lib\site-packages\pandas\core\frame.py in __setitem__(self, key, value)
   3610         else:
   3611             # set column
-> 3612             self._set_item(key, value)
   3613 
   3614     def _setitem_slice(self, key: slice, value):

C:\ProgramData\Miniconda3\lib\site-packages\pandas\core\frame.py in _set_item(self, key, value)
   3782         ensure homogeneity.
   3783         """
-> 3784         value = self._sanitize_column(value)
   3785 
   3786         if (

C:\ProgramData\Miniconda3\lib\site-packages\pandas\core\frame.py in _sanitize_column(self, value)
   4508         if is_list_like(value):
   4509             com.require_length_match(value, self.index)
-> 4510         return sanitize_array(value, self.index, copy=True, allow_2d=True)
   4511 
   4512     @property

C:\ProgramData\Miniconda3\lib\site-packages\pandas\core\construction.py in sanitize_array(data, index, dtype, copy, raise_cast_failure, allow_2d)
    557         if isinstance(data, (set, frozenset)):
    558             # Raise only for unordered sets, e.g., not for dict_keys
--> 559             raise TypeError(f"'{type(data).__name__}' type is unordered")
    560 
    561         # materialize e.g. generators, convert e.g. tuples, abc.ValueView

TypeError: 'set' type is unordered

Answer 1

将missions['Lunar module (LM)'] = ...行更改为：

missions['Lunar module (LM)'] = ['Eagle (LM-5)', 'Intrepid (LM-6)', 'Antares (LM-8)', 'Falcon (LM-10)', 'Orion (LM-11)', 'Challenger (LM-12)']

{...}创建一个按错误消息指示的排序(排序)的set。另一方面，[...]创建了一个没有排序的list，这正是Pandas所期望的。