Python pandas.DataFrame.fillna-TypeError:只能将整数标量数组转换为标量索引

我正试图从熊猫官方文件中找到答案pandas.DataFrame.fillna因此基本上用1的值填充df数据框“myc”列中的NaN值

数据数据帧

df
   myc    B   C  D
0  NaN  2.0 NaN  0
1  0.2  4.0 NaN  1
2  NaN  NaN NaN  5
3  NaN  3.0 NaN  4

代码1

values = {'myc': 1}
df.fillna(value=values)

    myc B   C   D
0   1.0 2.0 NaN 0
1   0.2 4.0 NaN 1
2   1.0 NaN NaN 5
3   1.0 3.0 NaN 4

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-21-6a9e5a691bca> in <module>
      1 values = {'myc': 1}
----> 2 df.fillna(value=values)

~/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in fillna(self, value, method, axis, inplace, limit, downcast)
   4315         downcast=None,
   4316     ) -> Optional["DataFrame"]:
-> 4317         return super().fillna(
   4318             value=value,
   4319             method=method,

~/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in fillna(self, value, method, axis, inplace, limit, downcast)
   6071                     if k not in result:
   6072                         continue
-> 6073                     obj = result[k]
   6074                     obj.fillna(v, limit=limit, inplace=True, downcast=downcast)
   6075                 return result if not inplace else None

~/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in __getitem__(self, key)
   2876                 if self.columns.nlevels > 1:
   2877                     return self._getitem_multilevel(key)
-> 2878                 return self._get_item_cache(key)
   2879 
   2880         # Do we have a slicer (on rows)?

~/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in _get_item_cache(self, item)
   3539 
   3540             loc = self.columns.get_loc(item)
-> 3541             values = self._mgr.iget(loc)
   3542             res = self._box_col_values(values, loc)
   3543 

~/anaconda3/lib/python3.8/site-packages/pandas/core/internals/managers.py in iget(self, i)
    986         Return the data as a SingleBlockManager.
    987         """
--> 988         block = self.blocks[self.blknos[i]]
    989         values = block.iget(self.blklocs[i])
    990 

TypeError: only integer scalar arrays can be converted to a scalar index

结果目标1

values = {'myc': 1}
df.fillna(value=values)

    myc B   C   D
0   1.0 2.0 NaN 0
1   0.2 4.0 NaN 1
2   1.0 NaN NaN 5
3   1.0 3.0 NaN 4

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-21-6a9e5a691bca> in <module>
      1 values = {'myc': 1}
----> 2 df.fillna(value=values)

~/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in fillna(self, value, method, axis, inplace, limit, downcast)
   4315         downcast=None,
   4316     ) -> Optional["DataFrame"]:
-> 4317         return super().fillna(
   4318             value=value,
   4319             method=method,

~/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in fillna(self, value, method, axis, inplace, limit, downcast)
   6071                     if k not in result:
   6072                         continue
-> 6073                     obj = result[k]
   6074                     obj.fillna(v, limit=limit, inplace=True, downcast=downcast)
   6075                 return result if not inplace else None

~/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in __getitem__(self, key)
   2876                 if self.columns.nlevels > 1:
   2877                     return self._getitem_multilevel(key)
-> 2878                 return self._get_item_cache(key)
   2879 
   2880         # Do we have a slicer (on rows)?

~/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in _get_item_cache(self, item)
   3539 
   3540             loc = self.columns.get_loc(item)
-> 3541             values = self._mgr.iget(loc)
   3542             res = self._box_col_values(values, loc)
   3543 

~/anaconda3/lib/python3.8/site-packages/pandas/core/internals/managers.py in iget(self, i)
    986         Return the data as a SingleBlockManager.
    987         """
--> 988         block = self.blocks[self.blknos[i]]
    989         values = block.iget(self.blklocs[i])
    990 

TypeError: only integer scalar arrays can be converted to a scalar index

错误表第1页

values = {'myc': 1}
df.fillna(value=values)

    myc B   C   D
0   1.0 2.0 NaN 0
1   0.2 4.0 NaN 1
2   1.0 NaN NaN 5
3   1.0 3.0 NaN 4

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-21-6a9e5a691bca> in <module>
      1 values = {'myc': 1}
----> 2 df.fillna(value=values)

~/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in fillna(self, value, method, axis, inplace, limit, downcast)
   4315         downcast=None,
   4316     ) -> Optional["DataFrame"]:
-> 4317         return super().fillna(
   4318             value=value,
   4319             method=method,

~/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in fillna(self, value, method, axis, inplace, limit, downcast)
   6071                     if k not in result:
   6072                         continue
-> 6073                     obj = result[k]
   6074                     obj.fillna(v, limit=limit, inplace=True, downcast=downcast)
   6075                 return result if not inplace else None

~/anaconda3/lib/python3.8/site-packages/pandas/core/frame.py in __getitem__(self, key)
   2876                 if self.columns.nlevels > 1:
   2877                     return self._getitem_multilevel(key)
-> 2878                 return self._get_item_cache(key)
   2879 
   2880         # Do we have a slicer (on rows)?

~/anaconda3/lib/python3.8/site-packages/pandas/core/generic.py in _get_item_cache(self, item)
   3539 
   3540             loc = self.columns.get_loc(item)
-> 3541             values = self._mgr.iget(loc)
   3542             res = self._box_col_values(values, loc)
   3543 

~/anaconda3/lib/python3.8/site-packages/pandas/core/internals/managers.py in iget(self, i)
    986         Return the data as a SingleBlockManager.
    987         """
--> 988         block = self.blocks[self.blknos[i]]
    989         values = block.iget(self.blklocs[i])
    990 

TypeError: only integer scalar arrays can be converted to a scalar index

尝试过的解决方案

• 不是字典-
• 不是字典-
• 未获答覆-
• 不是字典-
• 不是字典-
• 不是字典-
• 我不想改变它-
• 我已经尝试运行以下代码来测试该对象是否为数据帧，它说的是true，所以是-
  • 输入
  • 输出

    True

---

您的代码中出现了一些奇怪的情况，因为：
• 仅应在myc列中替换NaN
• 但您的结果也包含替换的值，例如C中的值 列和NaN在此处替换为2
只运行以下代码（与代码分开）：
结果应该是：

   myc    B   C  D
0  1.0  2.0 NaN  0
1  3.0  4.0 NaN  1
2  1.0  NaN NaN  5
3  1.0  3.0 NaN  4

如果你得到了同样的结果，那么显然是有 你的代码有问题，但在其他地方 （在您介绍的代码之外）
要更改的另一个细节是，值是一个属性

---

而您不应使用同名变量。
简单解决方案
• 将数据帧导出到csv：

  df.to_csv（r'somefilename.csv'，index=False）

• 将saem数据加载回数据帧：

  df1=pd.read\u csv（“r'somefilename.csv”）

---

您的熊猫版是什么？你的代码在我这边运行得很好，我用pandas 1.1.1和1.1.3检查过，pandas没有问题。我想你的DF中有个问题。也许是numpy版本？你能分享更多的代码行吗？或者数据集？你能在某处共享hello.csv吗？如果它在另一台计算机上工作，问题将是您安装的一些软件包。df['myc']=df['myc']]如何。fillna（1）？我已经做了更正，很抱歉，我在这里键入了我的df，所以我随机将值放在那里。