質問編集履歴
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コードの修正
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@@ -23,5 +23,86 @@
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データフレームからデータaとデータbを参照し、同じならデータcにデータbのデータを入れて、新しいカラムを作りたいと考えています。
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上記のエラーにより該当のコードでは実行できませんでした。解決方法を教えていただけないでしょうか?
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追記
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掲載したコードが誤りでした。正しくは以下のコードでした。
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```python
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all_df.loc[all_df['データa'] == all_df['データb'], 'データc'] = all_df['データb']
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```
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以下エラーの全文になります。
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ValueError Traceback (most recent call last)
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/var/folders/71/9_gw2z712yx4ccsvb21s9kh80000gn/T/ipykernel_28537/4172916488.py in <module>
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----> 1 all_df.loc[all_df['データa'] == all_df['データb'], 'データc'] = all_df['データb']
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/indexing.py in __setitem__(self, key, value)
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721
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722 iloc = self if self.name == "iloc" else self.obj.iloc
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--> 723 iloc._setitem_with_indexer(indexer, value, self.name)
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724
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725 def _validate_key(self, key, axis: int):
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/indexing.py in _setitem_with_indexer(self, indexer, value, name)
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1728 if take_split_path:
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1729 # We have to operate column-wise
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-> 1730 self._setitem_with_indexer_split_path(indexer, value, name)
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1731 else:
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1732 self._setitem_single_block(indexer, value, name)
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/indexing.py in _setitem_with_indexer_split_path(self, indexer, value, name)
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1749 from pandas import Series
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1750
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-> 1751 value = self._align_series(indexer, Series(value))
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1752
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1753 # Ensure we have something we can iterate over
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/indexing.py in _align_series(self, indexer, ser, multiindex_indexer)
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2118 return ser._values.copy()
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2119
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-> 2120 return ser.reindex(new_ix)._values
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2121
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2122 # 2 dims
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/series.py in reindex(self, index, **kwargs)
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4578 )
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4579 def reindex(self, index=None, **kwargs):
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-> 4580 return super().reindex(index=index, **kwargs)
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4581
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4582 @deprecate_nonkeyword_arguments(version=None, allowed_args=["self", "labels"])
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/generic.py in reindex(self, *args, **kwargs)
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4817 # perform the reindex on the axes
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4818 return self._reindex_axes(
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-> 4819 axes, level, limit, tolerance, method, fill_value, copy
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4820 ).__finalize__(self, method="reindex")
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4821
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/generic.py in _reindex_axes(self, axes, level, limit, tolerance, method, fill_value, copy)
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4841 fill_value=fill_value,
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4842 copy=copy,
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-> 4843 allow_dups=False,
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4844 )
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4845
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/generic.py in _reindex_with_indexers(self, reindexers, fill_value, copy, allow_dups)
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4887 fill_value=fill_value,
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4888 allow_dups=allow_dups,
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-> 4889 copy=copy,
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4890 )
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4891 # If we've made a copy once, no need to make another one
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/internals/managers.py in reindex_indexer(self, new_axis, indexer, axis, fill_value, allow_dups, copy, consolidate, only_slice)
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668 # some axes don't allow reindexing with dups
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669 if not allow_dups:
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--> 670 self.axes[axis]._validate_can_reindex(indexer)
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672 if axis >= self.ndim:
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/opt/anaconda3/envs/machine/lib/python3.7/site-packages/pandas/core/indexes/base.py in _validate_can_reindex(self, indexer)
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3783 # trying to reindex on an axis with duplicates
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3784 if not self._index_as_unique and len(indexer):
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-> 3785 raise ValueError("cannot reindex from a duplicate axis")
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3786
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3787 def reindex(
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ValueError: cannot reindex from a duplicate axis
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