Python–获取词频百分比
原文:https://www . geesforgeks . org/python-get-word-frequency-in-percent/
给定一个字符串列表，任务是编写一个 Python 程序来获取字符串列表中每个单词的百分比份额。
计算解释:(X 字出现次数/总字数)* 100。
示例:
输入:test _ list =[“Gfg 最适合极客”、“All love Gfg”、“Gfg 最适合 CS”、“对于 CS 极客，Gfg 最好”]
输出: {'Gfg': 0.21052631578947367，' is': 0.15789473684210525，' best': 0.15789473684210525，' for': 0.10526315789473684，' geeks': 0.10526315789473684，' All': 0。
解释:每个单词 wrt 的频率百分比。计算列表中的所有其他单词。Gfg 出现 4 次。总字数= 19。
输入:test _ list =[“Gfg 最适合极客”，“大家都爱 Gfg”]
输出:
解释:每个单词 wrt 的频率百分比。计算列表中的所有其他单词。
方法#1:使用sum()+Counter()+join()+T21】split()
在本例中，我们在使用 join()连接每个字符串后，使用 split()执行获取每个单词的任务。Counter()获取每个单词映射的频率。发布使用 sum()计算的所有单词大小可以获得每个单词所需的份额，利用存储在 Counter 中的频率。
Python 3
# Python3 code to demonstrate working of
# Each word frequency percentage
# Using sum() + Counter()+ join() + split()
from collections import Counter
# initializing list
test_list = ["Gfg is best for geeks",
"All love Gfg",
"Gfg is best for CS",
"For CS geeks Gfg is best"]
# printing original list
print("The original list is : " + str(test_list))
# concatenating using join
joined = " ".join(ele for ele in test_list)
# mapping using Counter()
mappd = Counter(joined.split())
# getting total using sum
total_val = sum(mappd.values())
# getting share of each word
res = {key: val / total_val for key,
val in mappd.items()}
# printing result
print("Percentage share of each word : " + str(res))
输出:
原列表为:['Gfg 最适合极客'，' All love Gfg '，' Gfg 最适合 CS '，'对于 CS 极客，Gfg 最好']
每个单词所占的百分比份额:{'Gfg': 0.21052631578947367，' is': 0.15789473684210525，' best': 0.15789473684210525，' for': 0.10526315789473684，'极客':0.105263157894，' All ':0.0505050504794
方法 2:使用组合单线
与上述方法类似，只是将每个片段组合起来，以提供紧凑的单个线性解决方案。
Python 3
# Python3 code to demonstrate working of
# Each word frequency percentage
# Using combined one-liner
from collections import Counter
# initializing list
test_list = ["Gfg is best for geeks", "All love Gfg",
"Gfg is best for CS", "For CS geeks Gfg is best"]
# printing original list
print("The original list is : " + str(test_list))
# mapping using Counter()
mappd = Counter(" ".join(ele for ele in test_list).split())
# getting share of each word
res = {key: val / sum(mappd.values()) for key,
val in mappd.items()}
# printing result
print("Percentage share of each word : " + str(res))
输出:
原列表为:['Gfg 最适合极客'，' All love Gfg '，' Gfg 最适合 CS '，'对于 CS 极客，Gfg 最好']
每个单词所占的百分比份额:{'Gfg': 0.21052631578947367，' is': 0.15789473684210525，' best': 0.15789473684210525，' for': 0.10526315789473684，'极客':0.105263157894，' All ':0.0505050504794
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