我有以下字典，其中包含一些超引數設定和相應的結果：
data_ dict = {('Splits',): {0: 0, 1: 0, 2: 0, 3: 0},
('Weights',): {0: 'uniform', 1: 'uniform', 2: 'distance', 3: 'distance'},
('K_neighbors',): {0: 1, 1: 2, 2: 1, 3: 2},
('Accuracy',): {0: 0.69, 1: 0.721, 2: 0.69, 3: 0.713},
('AUROC',): {0: 0.558, 1: 0.524, 2: 0.558, 3: 0.532},
('Prec_0',): {0: 0.77, 1: 0.753, 2: 0.77, 3: 0.756},
('Prec_1',): {0: 0.368, 1: 0.369, 2: 0.368, 3: 0.366},
('Rec_0',): {0: 0.831, 1: 0.929, 2: 0.831, 3: 0.904},
('Rec_1',): {0: 0.285, 1: 0.119, 2: 0.285, 3: 0.159},
('f1_0',): {0: 0.799, 1: 0.832, 2: 0.799, 3: 0.824},
('f1_1',): {0: 0.321, 1: 0.18, 2: 0.321, 3: 0.222}}
然后我將這個串列轉換為一個 Pandas DataFrame：
results = pd.DataFrame(dicta)
回傳以下內容
Splits Weights K_neighbors Accuracy AUROC Prec_0 Prec_1 Rec_0 Rec_1 f1_0 f1_1
0 0 uniform 1 0.690 0.558 0.770 0.368 0.831 0.285 0.799 0.321
1 0 uniform 2 0.721 0.524 0.753 0.369 0.929 0.119 0.832 0.180
2 0 distance 1 0.690 0.558 0.770 0.368 0.831 0.285 0.799 0.321
3 0 distance 2 0.713 0.532 0.756 0.366 0.904 0.159 0.824 0.222
現在我嘗試過濾包含超引數權重僅等于'uniform' 的行：
results[(results['Weights']=='uniform')]
但是，回傳的 DataFrame 具有所有值，除了我們過濾的等于 Nan 的值：
Splits Weights K_neighbors Accuracy AUROC Prec_0 Prec_1 Rec_0 Rec_1 f1_0 f1_1
0 NaN uniform NaN NaN NaN NaN NaN NaN NaN NaN NaN
1 NaN uniform NaN NaN NaN NaN NaN NaN NaN NaN NaN
2 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
3 NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN
但是，所需的代碼輸出是：
Splits Weights K_neighbors Accuracy AUROC Prec_0 Prec_1 Rec_0 Rec_1 f1_0 f1_1
0 0 uniform 1 0.690 0.558 0.770 0.368 0.831 0.285 0.799 0.321
1 0 uniform 2 0.721 0.524 0.753 0.369 0.929 0.119 0.832 0.180
uj5u.com熱心網友回復：
確定了問題，您的列是多索引，這就是此問題背后的原因。請按如下方式重命名列：
results.columns = [col[0] for col in results.columns]
results[results['Weights']=='uniform']
然后嘗試一下，它會起作用。
轉載請註明出處，本文鏈接：https://www.uj5u.com/gongcheng/336076.html
下一篇：標記資料框中的物體