Question

感谢Pavel Anossov，这就是我现在所拥有的。我试图将已经输出的单词频率转换为星号。

import sys
import operator 
from collections import Counter
def candidateWord():


   with open("sample.txt", 'r') as f:
      text = f.read()
   words = [w.strip('!,.?1234567890-=@#$%^&*()_+')for w in text.lower().split()]
            #word_count[words] = word_count.get(words,0) + 1
   counter = Counter(words)

   print("\n".join("{} {}".format(*p) for p in counter.most_common()))

candidateWord()

这就是我现在作为输出。

how 3

i 2

am 2

are 2

you 2

good 1

hbjkdfd 1

我想尝试使用的公式是最常出现的单词出现M次，当前单词出现N次，打印的星号数为：

(50 * N) / M

Answer 1

我会在左边放上星号以避免对齐单词：

...
counter = Counter(words)
max_freq = counter.most_common()[0][1]
for word, freq in sorted(counter.most_common(), key=lambda p: (-p[1], p[0])):
    number_of_asterisks = (50 * freq ) // max_freq     # (50 * N) / M
    asterisks = '*' * number_of_asterisks        # the (50*N)/M asterisks
    print('{:>50} {}'.format(asterisks, word))

:>50格式字符串表示“左边空格键，空格为50个字符”。

counter.most_common返回按频率排序的（字，频）对列表
counter.most_common()[0][1]如果是第一对的第二个元素，那么最大频率
我们循环首先按{降低频率排序counter.most_common()，然后按字
number_of_asterisks由您的公式计算。我们使用整数除法//来获得整数结果。
我们重复星号number_of_asterisks次，并将结果存储在asterisks
我们打印asterisks和word。星号在50个字符宽的列中右对齐。

Answer 2

代码：

import sys
import operator 
from collections import Counter
def candidateWord():
   with open("sample.txt", 'r') as f:
      text = f.read()
   words = [w.strip('!,.?1234567890-=@#$%^&*()_+')for w in text.lower().split()]
            #word_count[words] = word_count.get(words,0) + 1
   counter = Counter(words)

   # I added the code below...
   columns = 80
   n_occurrences = 10
   to_plot = counter.most_common(n_occurrences)
   labels, values = zip(*to_plot)
   label_width = max(map(len, labels))
   data_width = columns - label_width - 1
   plot_format = '{:%d}|{:%d}' % (label_width, data_width)
   max_value = float(max(values))
   for i in range(len(labels)):
     v = int(values[i]/max_value*data_width)
     print(plot_format.format(labels[i], '*'*v))

candidateWord()

输出：

the |***************************************************************************
and |**********************************************                             
of  |******************************************                                 
to  |***************************                                                
a   |************************                                                   
in  |********************                                                       
that|******************                                                         
i   |****************                                                           
was |*************                                                              
it  |**********

在python中将单词频率转换为图形直方图

2 个答案: