from detail_video import video_bvid

从`detail_video.py`模块导入`video_bvid`这个变量或函数的具体实现依赖于`detail_video.py`文件的内容。通常情况下，`video_bvid`可能是表示一个视频的唯一标识符，可能是一个B站视频的BV（Bilibili Video）ID。

假设`detail_video.py`中有一个函数或变量定义如下：

# detail_video.py
def get_video_bvid():
    return "BV号或其他视频ID"

# 或者

video_bvid = "BV号或其他视频ID"

你可以这样使用它：

from detail_video import video_bvid

# 调用函数获取视频ID
bvid = video_bvid.get_video_bvid()

# 或者直接使用预定义的变量
bvid = video_bvid

请注意，这只是一个示例，实际的代码可能会根据`detail_video.py`文件的设计有所不同。如果你需要访问具体的视频详情，可能还需要调用其他相关的方法或属性。

相关问题

使用bat从{"media_type":2,"has_dash_audio":true,"is_completed":true,"total_bytes":54528541,"downloaded_bytes":54528541,"title":"【稚雨】宇宙 ૮ ´͈ ᗜ `͈ ა♡｜ユニバース","type_tag":"112","cover":"http:\/\/i0.hdslb.com\/bfs\/archive\/aacd3a3a3397a4ca7426ff9ac237d57bd5ea5b6d.jpg","video_quality":112,"prefered_video_quality":112,"guessed_total_bytes":0,"total_time_milli":252543,"danmaku_count":33,"time_update_stamp":1689402493484,"time_create_stamp":1689402474935,"can_play_in_advance":true,"interrupt_transform_temp_file":false,"quality_pithy_description":"1080P","quality_superscript":"高码率","cache_version_code":7370300,"preferred_audio_quality":0,"audio_quality":0,"avid":870875619,"spid":0,"seasion_id":0,"bvid":"BV15V4y1b7Xv","owner_id":344270893,"owner_name":"稚雨才不是至于","owner_avatar":"https:\/\/i1.hdslb.com\/bfs\/face\/a3175ec8b252285ff802beedd8fe099016b90ea5.jpg","page_data":{"cid":1196836330,"page":1,"from":"vupload","part":"宇宙","link":"","vid":"","has_alias":false,"tid":20,"width":1920,"height":1080,"rotate":0,"download_title":"视频已缓存完成","download_subtitle":"【稚雨】宇宙 ૮ ´͈ ᗜ `͈ ა♡｜ユニバース 宇宙"}}之中提取题目

你可以使用 Batch 脚本中的字符串操作来提取 JSON 数据中的 `title` 字段。下面是一个示例脚本：

@echo off
setlocal enabledelayedexpansion

set "json={"media_type":2,"has_dash_audio":true,"is_completed":true,"total_bytes":54528541,"downloaded_bytes":54528541,"title":"【稚雨】宇宙 ૮  ´͈ ᗜ `͈ ა♡｜ユニバース","type_tag":"112","cover":"http:\/\/i0.hdslb.com\/bfs\/archive\/aacd3a3a3397a4ca7426ff9ac237d57bd5ea5b6d.jpg","video_quality":112,"preferred_video_quality":112,"guessed_total_bytes":0,"total_time_milli":252543,"danmaku_count":33,"time_update_stamp":1689402493484,"time_create_stamp":1689402474935,"can_play_in_advance":true,"interrupt_transform_temp_file":false,"quality_pithy_description":"1080P","quality_superscript":"高码率","cache_version_code":7370300,"preferred_audio_quality":0,"audio_quality":0,"avid":870875619,"spid":0,"seasion_id":0,"bvid":"BV15V4y1b7Xv","owner_id":344270893,"owner_name":"稚雨才不是至于","owner_avatar":"https:\/\/i1.hdslb.com\/bfs\/face\/a3175ec8b252285ff802beedd8fe099016b90ea5.jpg","page_data":{"cid":1196836330,"page":1,"from":"vupload","part":"宇宙","link":"","vid":"","has_alias":false,"tid":20,"width":1920,"height":1080,"rotate":0,"download_title":"视频已缓存完成","download_subtitle":"【稚雨】宇宙 ૮  ´͈ ᗜ `͈ ა♡｜ユニバース 宇宙"}}"

set "title=!json:*\"title\":\"=!"
set "title=!title:~0,-1!"

echo %title%

在上述脚本中，我将 JSON 数据存储在 `json` 变量中。然后使用字符串操作来提取 `title` 字段。

首先，使用 `set "title=!json:*\"title\":\"=!"` 将 `title` 变量设置为从 JSON 数据中删除 `title":"` 后的内容。

然后，使用 `set "title=!title:~0,-1!"` 去除最后一个字符（JSON 数据中的双引号），得到最终的题目内容。

请注意，脚本中的字符串操作可能需要根据你的实际情况进行修改。

python爬取b站评论_用python 抓取B站视频评论，制作词云

好的，很高兴回答您的问题！

首先，我们需要安装一些必要的库，如requests、BeautifulSoup、jieba、wordcloud等。你可以使用以下命令进行安装：

pip install requests
pip install BeautifulSoup4
pip install jieba
pip install wordcloud

接下来，我们需要先获取视频的av号（或者BV号），然后通过B站的API接口来获取评论数据。代码如下：

import requests
import json

# 获取B站视频评论
def get_bilibili_comment(aid):
    url = "https://api.bilibili.com/x/v2/reply?pn={}&type=1&oid={}&sort=2"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"}
    comments = []
    for i in range(1, 6):  # 抓取前5页评论
        response = requests.get(url.format(i, aid), headers=headers)
        data = json.loads(response.text)
        for comment in data["data"]["replies"]:
            comments.append(comment["content"]["message"])
    return comments

# 获取B站视频的av号
def get_bilibili_av(bv):
    url = "https://api.bilibili.com/x/web-interface/view?bvid={}"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"}
    response = requests.get(url.format(bv), headers=headers)
    data = json.loads(response.text)
    return data["data"]["aid"]

接着，我们需要使用jieba库对评论内容进行分词，并将分词结果存储到一个列表中。代码如下：

import jieba

# 分词
def cut_words(comments):
    words = []
    for comment in comments:
        words += jieba.lcut(comment)
    return words

最后，我们可以使用wordcloud库来制作词云图。代码如下：

import matplotlib.pyplot as plt
from wordcloud import WordCloud

# 制作词云图
def make_wordcloud(words):
    text = " ".join(words)
    wc = WordCloud(background_color="white", max_words=200, font_path="msyh.ttc")
    wc.generate(text)
    plt.imshow(wc)
    plt.axis("off")
    plt.show()

完整代码如下：

import requests
import json
import jieba
import matplotlib.pyplot as plt
from wordcloud import WordCloud

# 获取B站视频评论
def get_bilibili_comment(aid):
    url = "https://api.bilibili.com/x/v2/reply?pn={}&type=1&oid={}&sort=2"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"}
    comments = []
    for i in range(1, 6):  # 抓取前5页评论
        response = requests.get(url.format(i, aid), headers=headers)
        data = json.loads(response.text)
        for comment in data["data"]["replies"]:
            comments.append(comment["content"]["message"])
    return comments

# 获取B站视频的av号
def get_bilibili_av(bv):
    url = "https://api.bilibili.com/x/web-interface/view?bvid={}"
    headers = {
        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"}
    response = requests.get(url.format(bv), headers=headers)
    data = json.loads(response.text)
    return data["data"]["aid"]

# 分词
def cut_words(comments):
    words = []
    for comment in comments:
        words += jieba.lcut(comment)
    return words

# 制作词云图
def make_wordcloud(words):
    text = " ".join(words)
    wc = WordCloud(background_color="white", max_words=200, font_path="msyh.ttc")
    wc.generate(text)
    plt.imshow(wc)
    plt.axis("off")
    plt.show()

if __name__ == "__main__":
    bv = input("请输入B站视频的BV号：")
    aid = get_bilibili_av(bv)
    comments = get_bilibili_comment(aid)
    words = cut_words(comments)
    make_wordcloud(words)

这样，我们就可以使用Python来抓取B站视频评论，并制作词云图了。