[英]dict to list, and compare lists python
我做了一个函数,我计算一个文件中每个单词的使用次数,即单词的频率。 现在,该函数可以计算所有单词的总和,并向我显示七个最常见的单词以及使用了多少次。 现在,我想比较我的第一个文件,如果我已经分析了另一个文件的词频,我是否拥有英语中最常用的词,我想将这些词与我的第一个文件中的词进行比较,看看是否任何单词都匹配。
我要做的是列出两个文件,然后将它们相互比较。 但是我为此编写的代码没有给我任何输出,对如何解决这个问题有任何想法吗?
def CountWords():
filename = input('What is the name of the textfile you want to open?: ')
if filename == "alice" or "alice-ch1.txt" or " ":
file = open("alice-ch1.txt","r")
print('You want to open alice-ch1.txt')
wordcount = {}
for word in file.read().split():
if word not in wordcount:
wordcount[word] = 1
else:
wordcount[word] += 1
wordcount = {k.lower(): v for k, v in wordcount.items() }
print (wordcount)
sum = 0
for val in wordcount.values():
sum += val
print ('The total amount of words in Alice adventures in wonderland: ' + str(sum))
sortList = sorted(wordcount.values(), reverse = True)
most_freq_7 = sortList[0:7]
#print (most_freq_7)
print ('Totoro says: The 7 most common words in Alice Adventures in Wonderland:')
print(list(wordcount.keys())[list(wordcount.values()).index(most_freq_7[0])] + " " + str(most_freq_7[0]))
print(list(wordcount.keys())[list(wordcount.values()).index(most_freq_7[1])] + " " + str(most_freq_7[1]))
print(list(wordcount.keys())[list(wordcount.values()).index(most_freq_7[2])] + " " + str(most_freq_7[2]))
print(list(wordcount.keys())[list(wordcount.values()).index(most_freq_7[3])] + " " + str(most_freq_7[3]))
print(list(wordcount.keys())[list(wordcount.values()).index(most_freq_7[4])] + " " + str(most_freq_7[4]))
print(list(wordcount.keys())[list(wordcount.values()).index(most_freq_7[5])] + " " + str(most_freq_7[5]))
print(list(wordcount.keys())[list(wordcount.values()).index(most_freq_7[6])] + " " + str(most_freq_7[6]))
file_common = open("common-words.txt", "r")
commonwords = []
contents = file_common.readlines()
for i in range(len(contents)):
commonwords.append(contents[i].strip('\n'))
print(commonwords)
#From here's the code were I need to find out how to compare the lists:
alice_keys = wordcount.keys()
result = set(filter(set(alice_keys).__contains__, commonwords))
newlist = list()
for elm in alice_keys:
if elm not in result:
newlist.append(elm)
print('Here are the similar words: ' + str(newlist)) #Why doesn't show?
else:
print ('I am sorry, that filename does not exist. Please try again.')
我不在解释器的前面,所以我的代码可能会稍微有些偏离。 但是尝试更多类似这样的方法。
from collections import Counter
with open("some_file_with_words") as f_file
counter = Counter(f_file.read())
top_seven = counter.most_common(7)
with open("commonwords") as f_common:
common_words = f_common.read().split()
for word, count in top_seven:
if word in common_words:
print "your word " + word + " is in the most common words! It appeared " + str(count) + " times!"
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