类型错误:copy() 在 Python 3.x 中不接受关键字参数

1 python dictionary typeerror pandas

在过去的几个月里,我一直在使用以下代码行而没有出现问题:

a['Area Code']=a['mpan'].str[:2]
a.groupby(a['Area Code'])
a=a[a['Area Code'].astype(int)<=23]

data_list=a.groupby('Area Code')[['mpan']].apply(lambda g: list (map(tuple, g.values.tolist()))).to_dict()
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突然间,我从最后一行遇到了以下错误:

TypeError: copy() takes no keyword arguments
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'a' 是一个 (23,2) 数据框,它已按名为 'Area Code' 的列分组(并由 SQL 查询填充)。'data_list' 是一个使用 'Area Code' 列作为键的字典。我有点困惑为什么错误涉及 copy() 而它不在行本身中。

我对 Python 还是很陌生,并获得了该特定行的帮助,因此不确定潜在的性质。

Traceback (most recent call last):

  File "C:\ProgramData\Anaconda3\lib\site- 
  packages\pandas\core\groupby\groupby.py", line 735, in apply
  result = self._python_apply_general(f)

  File "C:\ProgramData\Anaconda3\lib\site- 
  packages\pandas\core\groupby\groupby.py", line 751, in _python_apply_general
  keys, values, mutated = self.grouper.apply(f, self._selected_obj, self.axis)

  File "C:\ProgramData\Anaconda3\lib\site- 
  packages\pandas\core\groupby\ops.py", line 171, in apply
  result_values, mutated = splitter.fast_apply(f, group_keys)

  File "C:\ProgramData\Anaconda3\lib\site- 
  packages\pandas\core\groupby\ops.py", line 925, in fast_apply
  return libreduction.apply_frame_axis0(sdata, f, names, starts, ends)

  File "pandas\_libs\reduction.pyx", line 505, in 
  pandas._libs.reduction.apply_frame_axis0

  TypeError: copy() takes no keyword arguments

  During handling of the above exception, another exception occurred:

  Traceback (most recent call last):

  File "<ipython-input-31-84e07b1b1635>", line 1, in <module>
  a.groupby('Area Code')[['mpan']].apply(lambda g: list (map(tuple, 
  g.values.tolist()))).to_dict()

  File "C:\ProgramData\Anaconda3\lib\site- 
  packages\pandas\core\groupby\groupby.py", line 746, in apply
  return self._python_apply_general(f)

  File "C:\ProgramData\Anaconda3\lib\site- 
  packages\pandas\core\groupby\groupby.py", line 751, in _python_apply_general
  keys, values, mutated = self.grouper.apply(f, self._selected_obj, self.axis)

  File "C:\ProgramData\Anaconda3\lib\site- 
  packages\pandas\core\groupby\ops.py", line 171, in apply
  result_values, mutated = splitter.fast_apply(f, group_keys)

  File "C:\ProgramData\Anaconda3\lib\site- 
  packages\pandas\core\groupby\ops.py", line 925, in fast_apply
  return libreduction.apply_frame_axis0(sdata, f, names, starts, ends)

  File "pandas\_libs\reduction.pyx", line 505, in 
  pandas._libs.reduction.apply_frame_axis0

  TypeError: copy() takes no keyword arguments
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ago*_*old 5

更新:该问题已在Pandas 1.0.1 中修复,您可以安装它,例如,使用 pip:

pip install pandas==1.0.1
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这是一个已知问题(3144131456):

GroupBy.apply被抚养TypeError如果调用与返回列表功能(:问题:31441

这已在1.0.x 中解决,例如,您可以通过pip以下方式安装:

pip install git+ssh://git@github.com/pandas-dev/pandas.git@1.0.x
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