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我正在研究独立声明的样本并计算其中单词长度的频率。
文件中的示例文本:
"When in the Course of human events it becomes necessary for one people to dissolve the political bands which have connected them with another and to assume among the powers of the earth, the separate and equal station to which the Laws of Nature and of Nature's God entitle them, a decent respect to the opinions of mankind requires
that they should declare the causes which impel them to the separation."
注意:字长不能包含任何标点符号,例如来自 string.punctuation 的任何内容。
预期结果(样本):
Length Count
1 16
2 267
3 267
4 169
5 140
6 112
7 99
8 68
9 61
10 56
11 35
12 13
13 9
14 7
15 2
我目前无法从已转换为列表的文件中删除标点符号。
到目前为止,这是我尝试过的:
import sys
import string
def format_text(fname):
punc = set(string.punctuation)
words = fname.read().split()
return ''.join(word for word in words if word not in punc)
try:
with open(sys.argv[1], 'r') as file_arg:
file_arg.read()
except IndexError:
print('You need to provide a filename as an arguement.')
sys.exit()
fname = open(sys.argv[1], 'r')
formatted_text = format_text(fname)
print(formatted_text)
最佳答案
您可以去掉单词中的标点符号,也可以避免将所有文件读入内存:
punc = string.punctuation
return ' '.join(word.strip(punc) for line in fname for word in line.split())
如果你想从 Nature's
中删除 '
那么你需要翻译:
from string import punctuation
# use ord of characters you want to replace as keys and what you want to replace them with as values
tbl = {ord(k):"" for k in punctuation}
return ' '.join(line.translate(tbl) for line in fname)
要获取频率,请使用 Counter dict :
from collections import Counter
freq = Counter(len(word.translate(tbl)) for line in fname for word in line.split())
或者取决于你的方法:
freq = Counter(len(word.strip(punc)) for line in fname for word in line.split())
以上面问题中的行为例:
lines =""""When in the Course of human events it becomes necessary for one people to dissolve the political bands which have connected them with another and to assume among the powers of the earth, the separate and equal station to which the Laws of Nature and of Nature's God entitle them, a decent respect to the opinions of mankind requires
that they should declare the causes which impel them to the separation."""
from collections import Counter
freq = Counter(len(word.strip(punctuation)) for line in lines.splitlines() for word in line.split())
print(freq.most_common())
输出键/值对的元组,从看到的单词长度开始,一直到最少,键是长度,第二个元素是频率:
[(3, 15), (2, 12), (4, 9), (5, 9), (6, 9), (7, 7), (8, 5), (9, 3), (1, 1), (10, 1)]
如果你想输出从1个字母单词开始的频率而不排序并且按顺序:
mx = max(freq.values())
for i in range(1, mx+1):
v = freq[i]
if v:
print("length {} words appeared {} time/s.".format(i, v) )
输出:
length 1 words appeared 1 time/s.
length 2 words appeared 12 time/s.
length 3 words appeared 15 time/s.
length 4 words appeared 9 time/s.
length 5 words appeared 9 time/s.
length 6 words appeared 9 time/s.
length 7 words appeared 7 time/s.
length 8 words appeared 5 time/s.
length 9 words appeared 3 time/s.
length 10 words appeared 1 time/s.
对于丢失的键,与普通字典不同,Counter 字典不会返回 keyError 而是返回值 0
,因此 if v
仅对于满足以下条件的字长为真出现在文件中。
如果你想打印清理后的数据,把所有的逻辑放在函数中:
def clean_text(fname):
punc = string.punctuation
return [word.strip(punc) for line in fname for word in line.split()]
def get_freq(cleaned):
return Counter(len(word) for word in cleaned)
def freq_output(d):
mx = max(d.values())
for i in range(1, mx + 1):
v = d[i]
if v:
print("length {} words appeared {} time/s.".format(i, v))
try:
with open(sys.argv[1], 'r') as file_arg:
file_arg.read()
except IndexError:
print('You need to provide a filename as an arguement.')
sys.exit()
fname = open(sys.argv[1], 'r')
formatted_text = clean_text(fname)
print(" ".join(formatted_text))
print()
freq = get_freq(formatted_text)
freq_output(freq)
在您的问题片段输出上运行:
~$ python test.py test.txt
When in the Course of human events it becomes necessary for one people
to dissolve the political bands which have connected them with another
and to assume among the powers of the earth the separate and equal station
to which the Laws of Nature and of Nature's God entitle them a decent
respect to the opinions of mankind requires that they should declare
the causes which impel them to the separation
length 1 words appeared 1 time/s.
length 2 words appeared 12 time/s.
length 3 words appeared 15 time/s.
length 4 words appeared 9 time/s.
length 5 words appeared 9 time/s.
length 6 words appeared 9 time/s.
length 7 words appeared 7 time/s.
length 8 words appeared 5 time/s.
length 9 words appeared 3 time/s.
length 10 words appeared 1 time/s.
如果您只关心频率输出,一次完成:
import sys
import string
def freq_output(fname):
from string import punctuation
tbl = {ord(k): "" for k in punctuation}
d = Counter(len(word.strip(punctuation)) for line in fname for word in line.split())
d = Counter(len(word.translate(tbl)) for line in fname for word in line.split())
mx = max(d.values())
for i in range(1, mx + 1):
v = d[i]
if v:
print("length {} words appeared {} time/s.".format(i, v))
try:
with open(sys.argv[1], 'r') as file_arg:
file_arg.read()
except IndexError:
print('You need to provide a filename as an arguement.')
sys.exit()
fname = open(sys.argv[1], 'r')
freq_output(fname)
使用对 d
正确的方法。
关于python - 从列表中删除标点符号,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/30970342/
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