原始熊貓數據幀的numpy數組的邏輯運算

Question

我有兩個變量，我想對它們執行元素邏輯運算。然而，我得到以下錯誤：

tp = sum(actual & predicted) 
TypeError: ufunc 'bitwise_and' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'' 

下面是我的代碼：

import pandas as pd 
import numpy as np 

train = 'train.tsv' 
submission = 'submission1234.csv' 

trainSearchStream = pd.read_csv(train,sep='\t') 

sample = pd.read_csv(path + 'sampleSubmission.csv') 
preds = np.array(pd.read_csv(submission, header = None)) 
index = sample.ID.values - 1 
sample['IsClick'] = preds[index] 

actual = np.array(trainSearchStream['IsClick'].dropna()) 
predicted = np.array(sample['IsClick']) 

tp = sum(actual & predicted) 

Answer 1

％的意見，actual和predicted都具有D型float64。 所以這個問題可以簡單地用

轉載

In [467]: actual = np.random.random(10) 

In [468]: predicted = np.random.random(10) 

In [469]: actual & predicted 
TypeError: ufunc 'bitwise_and' not supported for the input types, and the inputs 
could not be safely coerced to any supported types according to the casting rule 
''safe'' 

&是the bitwise_and operator。它對整數和布爾值是有意義的;它爲doesn't make sense浮點值。

在我們提出修復建議之前，您需要解釋您希望計算的結果。