Python 检查字符串中的(仅整)字
关于Checkio的培训。这项任务被称为流行语。任务是从给定字符串中的(字符串)列表中搜索单词 例如:Python 检查字符串中的(仅整)字,python,string,count,find,Python,String,Count,Find,关于Checkio的培训。这项任务被称为流行语。任务是从给定字符串中的(字符串)列表中搜索单词 例如: textt="When I was One I had just begun When I was Two I was nearly new" wwords=['i', 'was', 'three', 'near'] 我的代码如下: def popular_words(text: str, words: list) -> dict: # your code here
textt="When I was One I had just begun When I was Two I was nearly new"
wwords=['i', 'was', 'three', 'near']
我的代码如下:
def popular_words(text: str, words: list) -> dict:
# your code here
occurence={}
text=text.lower()
for i in words:
occurence[i]=(text.count(i))
# incorrectly takes "nearly" as "near"
print(occurence)
return(occurence)
popular_words(textt,wwords)
它几乎可以正常工作,返回
{'i': 4, 'was': 3, 'three': 0, 'near': 1}
因此,将“近”视为“近”的一部分。这显然是作者的意图。一、 然而,除了这个,我找不到其他办法
"search for words that are not first (index 0) or last (last index) and for these that begin/end with whitespace"
我可以请你帮忙吗?请以这段相当幼稚的代码为基础。你最好把句子分开,然后数一数单词,而不是子字符串:
textt="When I was One I had just begun When I was Two I was nearly new"
wwords=['i', 'was', 'three', 'near']
text_words = textt.lower().split()
result = {w:text_words.count(w) for w in wwords}
print(result)
印刷品:
{'three': 0, 'i': 4, 'near': 0, 'was': 3}
如果文本现在有标点符号,最好使用正则表达式根据非字母数拆分字符串:
import re
textt="When I was One, I had just begun.I was Two when I was nearly new"
wwords=['i', 'was', 'three', 'near']
text_words = re.split("\W+",textt.lower())
result = {w:text_words.count(w) for w in wwords}
结果:
{'was': 3, 'near': 0, 'three': 0, 'i': 4}
(另一种选择是对单词字符使用findall
:text\u words=re.findall(r“\w+”,textt.lower())
)
现在,如果您的“重要”单词列表很大,那么最好先统计所有单词,然后使用经典的集合进行过滤。Counter
:
text_words = collections.Counter(re.split("\W+",textt.lower()))
result = {w:text_words.get(w) for w in wwords}
您的简单解决方案如下:
from collections import Counter
textt="When I was One I had just begun When I was Two I was nearly new".lower()
wwords=['i', 'was', 'three', 'near']
txt = textt.split()
keys = Counter(txt)
for i in wwords:
print(i + ' : ' + str(keys[i]))
嘿,你想让你的代码做什么?要计算单词出现的次数吗?任务是返回一个字典,其中单词作为键,出现的次数作为值。就像现在一样。只忽略单词中的单词。值得注意的是,collections模块有一个内置的计数器类:建议您阅读感谢!我应该自己来的。很好用(当教程给了我一个包含撇号的单词,这个单词不能正确计算,但是我会在早上解决)。无论如何谢谢你!