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Message from discussion pylab: TypeError: unhashable type: 'list'
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John H. Li  
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 More options Sep 2 2012, 11:40 pm
From: "John H. Li" <typeto...@gmail.com>
Date: Mon, 3 Sep 2012 11:39:10 +0800
Local: Sun, Sep 2 2012 11:39 pm
Subject: Re: [nltk-users] pylab: TypeError: unhashable type: 'list'
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Now the solution has been found:
For the previous codes, I replace y.extend(fdist[word[i:i+1]]) with
y.extend([fdist[word[i]]]).
Then it works. I come to realize the difference between y.extend('90') ,
y.extend(['90']),  y.extend(90) and y.extend([90]).

On Mon, Aug 27, 2012 at 1:21 AM, typetoken <typeto...@gmail.com> wrote:
> For the exercise 23 on page 76, or  http://nltk.googlecode.com/**
> svn/trunk/doc/book/ch02.html<http://nltk.googlecode.com/svn/trunk/doc/book/ch02.html>
> ,
> I try the following codes but it pops up "TypeError: unhashable type:
> 'list"

> >>> import nltk
> >>> text = nltk.corpus.brown.words(**categories = 'news')
> >>> def zif(text):
> fdist = nltk.FreqDist(text)
> import pylab
> word = fdist.keys()
> x = []
> y = []
> index = []
> for i in range(0,len(set(text)),1):
> x.extend(word[i:i+1])
> y.extend(fdist[word[i:i+1]])
> index.extend('i+1')
> pylab.plot(index, y,'b')
> pylab.title('zipf law')
> pylab.xlabel('word rank')
> pylab.ylabel('word frequency')
> pylab.show()

> >>> zif(text)

> Traceback (most recent call last):
>   File "<pyshell#5>", line 1, in <module>
>     zif(text)
>   File "<pyshell#3>", line 10, in zif
>     y.extend(fdist[word[i:i+1]])
>   File "C:\Python27\lib\site-**packages\nltk\probability.py", line 495,
> in __getitem__
>     return self.get(sample, 0)
> TypeError: unhashable type: 'list'

> Any suggestions or solutions? thanks indeed.

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