Question

我想要对元素逻辑运算执行两个变量。但是我收到以下错误：

    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''

以下是我的代码：

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

根据评论，actual和predicted都有dtype float64。所以问题可以通过

简单地再现

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。它对整数和布尔值有意义;它是浮点值的doesn't make sense。

在我们提出修复建议之前，您需要先解释一下您的预期。

numpy数组上的逻辑操作，最初是一个pandas数据帧

1 个答案: