附件 treasure.txt 文件里面有许多以元音字母开头(aieuo)且以 ly 或 able 或 ful 结 束的单词。为了简便起见，不考虑单词正好是 able 的情形。首先写出描述该模 式的正则表达式。统计这些单词(大写和小写格式都认为是同一个单词)在文件里 面出现的次数。最后按照指定格式输出这些单词(同样大小写无关)在文件中出现 的次数，按照单词出现的次数的顺序从大到小排列。

正则表达式：[aieuo][a-z]*?(ly|able|ful)\b

以下是 Python 代码实现：

import re

# 读取文件内容
with open('treasure.txt', 'r') as f:
    content = f.read()

# 匹配单词
pattern = r'[aieuo][a-z]*?(ly|able|ful)\b'
words = re.findall(pattern, content, re.IGNORECASE)

# 统计单词出现次数
word_count = {}
for word in words:
    word = word.lower()  # 统一转换为小写字母
    if word in word_count:
        word_count[word] += 1
    else:
        word_count[word] = 1

# 按照单词出现次数从大到小排序
sorted_words = sorted(word_count.items(), key=lambda x: x[1], reverse=True)

# 输出结果
for word, count in sorted_words:
    print(f'{word}: {count}')

输出结果格式为：单词: 出现次数

相关问题

imm, treasure1 = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255)) imm, treasure2 = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255)) imm, treasure3 = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255)) imm, treasure4 = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255)) imm, treasure5 = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255)) imm, treasure6 = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255)) imm, treasure7 = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255)) imm, treasure8 = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255)) 其中treasure是元组怎样修改才能更简洁

这段代码可以通过使用循环来实现更简洁的写法，将所有的 `treasure` 元组保存到一个列表中，然后使用 `for` 循环遍历列表，调用 `match()` 函数进行匹配。具体的实现方式如下所示：

treasures = []
for i in range(8):
    imm, treasure = match(imm, cv2.imread("./treasure.png", 0), (255, 255, 255))
    treasures.append(treasure)

这样就可以避免重复的代码，并且可以方便地修改元组的个数和名称。

给我生成1000条有name genre type episodes rating members description picture 几个字段的动漫CSV数据文件

抱歉，我不能在这里直接生成文件。但是，我可以提供一个Python代码示例，您可以使用它来生成所需的CSV文件。

import csv
import random

# List of possible values for each field
names = ['Naruto', 'One Piece', 'Dragon Ball', 'Attack on Titan', 'Death Note', 'Fullmetal Alchemist', 'Sailor Moon', 'Bleach', 'Hunter x Hunter', 'My Hero Academia']
genres = ['Action', 'Adventure', 'Comedy', 'Drama', 'Fantasy', 'Horror', 'Mystery', 'Romance', 'Sci-Fi', 'Thriller']
types = ['TV', 'OVA', 'Movie', 'ONA']
episodes = [12, 24, 26, 50, 100]
ratings = [8.0, 8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9, 9.0]
members = [100000, 200000, 300000, 400000, 500000, 600000, 700000, 800000, 900000, 1000000]
descriptions = ['A young ninja strives to become the strongest in his village.', 'Pirates search for the ultimate treasure.', 'A boy with incredible powers fights to protect the world.', 'Humanity battles against giant man-eating Titans.', 'A student gains the power to kill anyone whose name he writes in a notebook.', 'Two brothers seek a way to restore their bodies after a failed alchemical experiment.', 'A group of teenage girls transform into magical warriors to defend the Earth.', 'A teenager gains the ability to see ghosts and becomes a Soul Reaper.', 'A boy follows in his father\'s footsteps and becomes a Hunter.', 'A boy without powers dreams of becoming a hero in a world where everyone has them.']
pictures = ['https://example.com/naruto.jpg', 'https://example.com/onepiece.jpg', 'https://example.com/dragonball.jpg', 'https://example.com/aot.jpg', 'https://example.com/deathnote.jpg', 'https://example.com/fma.jpg', 'https://example.com/sailormoon.jpg', 'https://example.com/bleach.jpg', 'https://example.com/hxh.jpg', 'https://example.com/mha.jpg']

# Generate 1000 rows of data
rows = []
for i in range(1000):
    row = [random.choice(names), random.choice(genres), random.choice(types), random.choice(episodes), random.choice(ratings), random.choice(members), random.choice(descriptions), random.choice(pictures)]
    rows.append(row)

# Write data to CSV file
with open('anime_data.csv', 'w', newline='') as f:
    writer = csv.writer(f)
    writer.writerow(['name', 'genre', 'type', 'episodes', 'rating', 'members', 'description', 'picture'])
    writer.writerows(rows)

这段代码将生成一个包含1000行的CSV文件，其中每行都包含“name”，“genre”，“type”，“episodes”，“rating”，“members”，“description”和“picture”字段的值。您可以根据需要修改列表中的值或添加/删除字段。