回答編集履歴
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補足を追加
test
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@@ -31,3 +31,99 @@
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で、上記のエラーを修正して、コードを実行したところ、**理想** とされる結果が得られているようですが、一つ目の質問の現象は再現されていないように思います。
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---
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**【補足】**
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あと質問にあるコードは、全体的に 行と列の指定が位置データによる指定(``iloc[]``)に偏っているように見えます。
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以下のように Index NameやColumn Name による指定``loc[]``を使うともう少しシンプルにかけるのではないでしょうか。
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```Python
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import pandas as pd
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df1=pd.DataFrame([[45,1,2,0,2,2],
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[45,2,3,0,None,None],
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[45,3,4,10,5,5],
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[45,3,6,358,3,4],
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[45,4,5,0,2,2],
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[45,5,6,0,3,None],
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[45,7,8,0,5,5],
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[35,2,3,10,None,2],
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[35,3,4,10,None,None],
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[35,4,5,10,5,6],
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[35,5,7,20,2,2],
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[35,6,7,20,None,None],
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[35,7,8,15,5,5],
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[25,1,2,6,None,5]],
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columns=["a","b","c","d","e","f"])
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df=df1.copy()
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for col in df.loc[:, 'e':]:
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for idx, row in df[df[col].isnull()].iterrows():
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m = df[(df['a'] == row['a']) & (df['c'] == row['b'])]
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if m.empty:
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continue
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elif len(m) == 1:
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mae = m.iloc[0]
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else:
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mae = m.loc[m.apply(lambda r: min(abs(r['d']-row['d']),360-r['d']+row['d']) , axis=1).idxmin()]
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u = df[(df['a']==df.loc[idx,'a']) & (df['b']==df.loc[idx,'c'])]
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if u.empty:
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continue
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elif len(u) == 1:
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ushiro = u.iloc[0]
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else:
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ushiro = u.loc[u.apply(lambda r: min(abs(r['d']-row['d']),360-r['d']+row['d']) , axis=1).idxmin()]
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df.at[idx,col] = 2 / (1 / mae[col] +1 / ushiro[col])
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print(df)
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```
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