2013-05-07 46 views

回答

2

你可以把FreqDist作为dict,并使用csv模块。例如:

from nltk import FreqDist 
import csv 

fdist = FreqDist("aaa b cccc dd e") 

with open("fdist.csv", "wb") as fp: 
    writer = csv.writer(fp, quoting=csv.QUOTE_ALL) 
    writer.writerows(fdist.items()) 

产生

>>> !cat fdist.csv 
" ","4" 
"c","4" 
"a","3" 
"d","2" 
"b","1" 
"e","1" 
0

您可以查看(复制)their source并根据需要更改打印语句以编写CSV文件。源如下复制:

def tabulate(self, *args, **kwargs): 
    """ 
    Tabulate the given samples from the frequency distribution (cumulative), 
    displaying the most frequent sample first. If an integer 
    parameter is supplied, stop after this many samples have been 
    plotted. If two integer parameters m, n are supplied, plot a 
    subset of the samples, beginning with m and stopping at n-1. 
    (Requires Matplotlib to be installed.) 

    @param samples: The samples to plot (default is all samples) 
    @type samples: C{list} 
    """ 
    if len(args) == 0: 
     args = [len(self)] 
    samples = list(islice(self, *args)) 

    cumulative = _get_kwarg(kwargs, 'cumulative', False) 
    if cumulative: 
     freqs = list(self._cumulative_frequencies(samples)) 
    else: 
     freqs = [self[sample] for sample in samples] 
    # percents = [f * 100 for f in freqs] only in ProbDist? 

    for i in range(len(samples)): 
     print "%4s" % str(samples[i]), 
    print 
    for i in range(len(samples)): 
     print "%4d" % freqs[i], 
    print