Python, TypeError: 'int' object does not support item assignment"

Question

import numpy as np

def computeTF(wordDict, doc):
    tfDict ={}
    for word, count in wordDict.items():
        if count == 0:
            tfDict = 0
        else:
            tfDict[word] = 1 + np.log2(count)
    return tfDict

tfDoc1 = int(computeTF(wordDict1, doc1))

print (tfDoc1)

每当我尝试运行时，我都会收到错误消息：

'TypeError: 'int' object does not support item assignment'.

Answer 1

下面的代码可以工作，不会给你错误。您试图将 0 分配给字典对象，而不是将零添加到字典项。

import numpy as np

def computeTF(wordDict, doc):
    tfDict ={}
    for word, count in wordDict.items():
        if count == 0:
            tfDict[word] = 0 #this was wrong
        else:
            tfDict[word] = 1 + np.log2(count)
    return tfDict

tfDoc1 = int(computeTF(wordDict1, doc1))

print (tfDoc1)

Python, TypeError: 'int' object does not support item assignment"

Python, TypeError: 'int' object does not support item assignment"

python

tf-idf