Add rytyuiivalbvbatneshj.py

label_ea_song.py

@@ -5,9 +5,9 @@ import matplotlib.pyplot as plt
 import time
 
 
-def image_label():
+def data_visualization_of_label_ea_song():
     """网易云音乐欧美歌单标签图"""
-    df = pd.read_csv('./data/detail.csv', header=None)
+    df = pd.read_csv('./music_data/music_detail.csv', header=None)
 
     print("正在生成网易云音乐欧美歌单标签图片...")
 
@@ -60,8 +60,8 @@ def image_label():
     income = df1['num'][:10]
 
     # 绘图 details
-    colors = ['#EB3324', '#F08784', '#7E84F7', '#732BF5','#367E7F',  '#7F82BB','#75FA8D' ,
-              '#3282F6', '#16417C', '#808080']#各个标签的RGB色彩
+    colors = ['#993333', '#CC9966', '#333333', '#663366', '#003366', '#009966', '#FF6600', '#FF0033', '#009999',
+              '#333366']
     plot = squarify.plot(sizes=income, label=name, color=colors, alpha=1, value=income, edgecolor='white',
                          linewidth=1.5)
 
@@ -71,10 +71,10 @@ def image_label():
     plt.rcParams['axes.unicode_minus'] = False
 
     # 设置标签大小为 1
-    plt.rc('font', size=8)
+    plt.rc('font', size=6)
 
     # 设置标题大小
-    plot.set_title('**【网易云音乐欧美歌单标签图】**', fontsize=15, fontweight='light')
+    plot.set_title('网易云音乐欧美歌单标签图', fontsize=13, fontweight='light')
 
     # 除坐标轴
     plt.axis('off')
@@ -83,12 +83,12 @@ def image_label():
     plt.tick_params(top=False, right=False)
 
     # 保存图片
-    plt.savefig('./image/label.png', dpi=None)
+    plt.savefig('./music_image/label_ea_song.png', dpi=None)
 
     # 显示图片
     plt.show()
 
-    print("\n已生成网易云音乐欧美歌单标签图片，保存至 image/label.png")
+    print("\n已生成网易云音乐欧美歌单标签图片，保存至 music_image/label_ea_song.png")
 
 
 

musicListdemo/musicListdemo/items.py

@@ -1,12 +0,0 @@
-# Define here the models for your scraped items
-#
-# See documentation in:
-# https://docs.scrapy.org/en/latest/topics/items.html
-
-import scrapy
-
-
-class MusiclistdemoItem(scrapy.Item):
-    # define the fields for your item here like:
-    # name = scrapy.Field()
-    pass

musicListdemo/musicListdemo/middlewares.py

@@ -1,103 +0,0 @@
-# Define here the models for your spider middleware
-#
-# See documentation in:
-# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
-
-from scrapy import signals
-
-# useful for handling different item types with a single interface
-from itemadapter import is_item, ItemAdapter
-
-
-class MusiclistdemoSpiderMiddleware:
-    # Not all methods need to be defined. If a method is not defined,
-    # scrapy acts as if the spider middleware does not modify the
-    # passed objects.
-
-    @classmethod
-    def from_crawler(cls, crawler):
-        # This method is used by Scrapy to create your spiders.
-        s = cls()
-        crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
-        return s
-
-    def process_spider_input(self, response, spider):
-        # Called for each response that goes through the spider
-        # middleware and into the spider.
-
-        # Should return None or raise an exception.
-        return None
-
-    def process_spider_output(self, response, result, spider):
-        # Called with the results returned from the Spider, after
-        # it has processed the response.
-
-        # Must return an iterable of Request, or item objects.
-        for i in result:
-            yield i
-
-    def process_spider_exception(self, response, exception, spider):
-        # Called when a spider or process_spider_input() method
-        # (from other spider middleware) raises an exception.
-
-        # Should return either None or an iterable of Request or item objects.
-        pass
-
-    def process_start_requests(self, start_requests, spider):
-        # Called with the start requests of the spider, and works
-        # similarly to the process_spider_output() method, except
-        # that it doesn’t have a response associated.
-
-        # Must return only requests (not items).
-        for r in start_requests:
-            yield r
-
-    def spider_opened(self, spider):
-        spider.logger.info("Spider opened: %s" % spider.name)
-
-
-class MusiclistdemoDownloaderMiddleware:
-    # Not all methods need to be defined. If a method is not defined,
-    # scrapy acts as if the downloader middleware does not modify the
-    # passed objects.
-
-    @classmethod
-    def from_crawler(cls, crawler):
-        # This method is used by Scrapy to create your spiders.
-        s = cls()
-        crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
-        return s
-
-    def process_request(self, request, spider):
-        # Called for each request that goes through the downloader
-        # middleware.
-
-        # Must either:
-        # - return None: continue processing this request
-        # - or return a Response object
-        # - or return a Request object
-        # - or raise IgnoreRequest: process_exception() methods of
-        #   installed downloader middleware will be called
-        return None
-
-    def process_response(self, request, response, spider):
-        # Called with the response returned from the downloader.
-
-        # Must either;
-        # - return a Response object
-        # - return a Request object
-        # - or raise IgnoreRequest
-        return response
-
-    def process_exception(self, request, exception, spider):
-        # Called when a download handler or a process_request()
-        # (from other downloader middleware) raises an exception.
-
-        # Must either:
-        # - return None: continue processing this exception
-        # - return a Response object: stops process_exception() chain
-        # - return a Request object: stops process_exception() chain
-        pass
-
-    def spider_opened(self, spider):
-        spider.logger.info("Spider opened: %s" % spider.name)

musicListdemo/musicListdemo/pipelines.py

@@ -1,28 +0,0 @@
-# -*- coding: utf-8 -*-
-
-# Define your item pipelines here
-#
-# Don't forget to add your pipeline to the ITEM_PIPELINES setting
-# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
-
-
-class musicListdemoPipeline(object):
-    def process_item(self, item, spider):
-        return item
-
-
-class musicListdemoInfoPipeline(object):
-    def open_spider(self, spider):
-        self.f = open('musicListdemoInfo.txt', 'w')
-
-    def close_spider(self, spider):
-        self.f.close()
-
-    def process_item(self, item, spider):
-        try:
-            line = str(dict(item)) + '\n'
-            self.f.write(line)
-        except:
-            pass
-        return item
-

musicListdemo/musicListdemo/settings.py

@@ -1,90 +0,0 @@
-# -*- coding: utf-8 -*-
-
-# Scrapy settings for BaiduStocks project
-#
-# For simplicity, this file contains only settings considered important or
-# commonly used. You can find more settings consulting the documentation:
-#
-#     http://doc.scrapy.org/en/latest/topics/settings.html
-#     http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
-#     http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
-
-BOT_NAME = 'musicListdemo'
-
-SPIDER_MODULES = ['musicListdemo.spiders']
-NEWSPIDER_MODULE = 'musicListdemo.spiders'
-
-
-# Crawl responsibly by identifying yourself (and your website) on the user-agent
-#USER_AGENT = 'BaiduStocks (+http://www.yourdomain.com)'
-
-# Obey robots.txt rules
-ROBOTSTXT_OBEY = True
-
-# Configure maximum concurrent requests performed by Scrapy (default: 16)
-#CONCURRENT_REQUESTS = 32
-
-# Configure a delay for requests for the same website (default: 0)
-# See http://scrapy.readthedocs.org/en/latest/topics/settings.html#download-delay
-# See also autothrottle settings and docs
-#DOWNLOAD_DELAY = 3
-# The download delay setting will honor only one of:
-#CONCURRENT_REQUESTS_PER_DOMAIN = 16
-#CONCURRENT_REQUESTS_PER_IP = 16
-
-# Disable cookies (enabled by default)
-#COOKIES_ENABLED = False
-
-# Disable Telnet Console (enabled by default)
-#TELNETCONSOLE_ENABLED = False
-
-# Override the default request headers:
-#DEFAULT_REQUEST_HEADERS = {
-#   'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
-#   'Accept-Language': 'en',
-#}
-
-# Enable or disable spider middlewares
-# See http://scrapy.readthedocs.org/en/latest/topics/spider-middleware.html
-#SPIDER_MIDDLEWARES = {
-#    'BaiduStocks.middlewares.BaidustocksSpiderMiddleware': 543,
-#}
-
-# Enable or disable downloader middlewares
-# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html
-#DOWNLOADER_MIDDLEWARES = {
-#    'BaiduStocks.middlewares.MyCustomDownloaderMiddleware': 543,
-#}
-
-# Enable or disable extensions
-# See http://scrapy.readthedocs.org/en/latest/topics/extensions.html
-#EXTENSIONS = {
-#    'scrapy.extensions.telnet.TelnetConsole': None,
-#}
-
-# Configure item pipelines
-# See http://scrapy.readthedocs.org/en/latest/topics/item-pipeline.html
-ITEM_PIPELINES = {
-    'musicListdemo.pipelines.musicListdemoInfoPipeline': 300,
-}
-
-# Enable and configure the AutoThrottle extension (disabled by default)
-# See http://doc.scrapy.org/en/latest/topics/autothrottle.html
-#AUTOTHROTTLE_ENABLED = True
-# The initial download delay
-#AUTOTHROTTLE_START_DELAY = 5
-# The maximum download delay to be set in case of high latencies
-#AUTOTHROTTLE_MAX_DELAY = 60
-# The average number of requests Scrapy should be sending in parallel to
-# each remote server
-#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
-# Enable showing throttling stats for every response received:
-#AUTOTHROTTLE_DEBUG = False
-
-# Enable and configure HTTP caching (disabled by default)
-# See http://scrapy.readthedocs.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
-#HTTPCACHE_ENABLED = True
-#HTTPCACHE_EXPIRATION_SECS = 0
-#HTTPCACHE_DIR = 'httpcache'
-#HTTPCACHE_IGNORE_HTTP_CODES = []
-#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'

musicListdemo/musicListdemo/spiders/__init__.py

@@ -1,4 +0,0 @@
-# This package will contain the spiders of your Scrapy project
-#
-# Please refer to the documentation for information on how to create and manage
-# your spiders.

musicListdemo/musicListdemo/spiders/music_detail.py

@@ -1,75 +0,0 @@
-import scrapy
-import pandas as pd
-# music_detail.py
-
-
-INDEX = "C:\\Users\\aaa\\Desktop\\spiders163\\data\\url.csv"
-DETAIL = "C:\\Users\\aaa\\Desktop\\spiders163\\data\\detail.csv"
-#scrapy crawl music_index
-
-class MusicIndexSpider(scrapy.Spider):
-    name = "music_detail"
-
-    redis_key = 'music_detail'
-
-    def start_requests(self):
-        df = pd.read_csv(INDEX, header=None, names=['url', 'title', 'play','user'])
-
-        headers_chrome = {
-            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) '
-                          'Chrome/120.0.0.0 Safari/537.36'
-        }
-
-        for i in df['url']:
-            url = 'https://music.163.com' + i
-            yield scrapy.Request(url, headers=headers_chrome)
-
-    def parse(self, response):
-
-        # 获取歌单标题
-        title = response.css('h2::text')[0].get().replace(',', ' ')
-
-        # 获取标签
-        tags = []
-        tags_message = response.css('.u-tag i::text')
-
-        for p in tags_message:
-            tags.append(p.get())
-
-        # 对标签进行格式化
-        if len(tags) > 1:
-            tag = '-'.join(tags)
-        elif len(tags):
-            tag = tags[0]
-        else:
-            tag = '无'
-
-        # 获取歌单介绍
-        if response.css('#album-desc-more::text'):
-            text = response.css('#album-desc-more::text')[0].get().replace('\n', '').replace(',', ' ')
-        else:
-            text = '无'
-
-        # 获取歌单收藏量
-        collection = response.css('#content-operation i::text')[1].get().replace('(', '').replace(')', '')
-
-        # 歌单播放量
-        play = response.css('.s-fc6::text')[0].get()
-
-        # 歌单内歌曲数
-        songs = response.css('#playlist-track-count::text')[0].get()
-
-        # 歌单评论数
-        comments = response.css('#cnt_comment_count::text')[0].get()
-
-        # 输出歌单详情页信息
-        print('\r', title, tag, text, collection, play, songs, comments, end='', flush=True)
-
-        # # 输出歌单详情页信息
-        print('\r', title, text, collection, play, songs, comments, end='', flush=True)
-
-        # 将详情页信息写入CSV文件中
-        with open(DETAIL, 'a+', encoding='utf-8-sig') as f:
-            f.write(title + ',' + tag + ',' + text + ',' + collection + ',' + play + ',' + songs + ',' + comments +'\n')
-
-    print("\n已获取歌单的信息，保存至 data/detail.csv")

musicListdemo/musicListdemo/spiders/music_name.py

@@ -1,38 +0,0 @@
-import scrapy
-import time
-import pandas as pd
-# music_name.py
-
-INDEX = "C:\\Users\\aaa\\Desktop\\spiders163\\data\\url.csv"
-NAME = "C:\\Users\\aaa\\Desktop\\spiders163\\data\\name.csv"
-
-
-class MusicIndexSpider(scrapy.Spider):
-    name = "music_name"
-
-    def start_requests(self):
-        urls = []
-
-        df = pd.read_csv(INDEX, header=None, names=['url', 'title', 'play','user'])
-        headers_iphone = {
-            'User-Agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 6_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/6.0 Mobile/10A5376e Safari/8536.25'
-        }
-
-        for i in df['url']:
-            url = 'https://music.163.com' + i
-
-            yield scrapy.Request(url, headers=headers_iphone)
-
-    def parse(self, response):
-
-        li = response.css('.sgchfl .f-thide.sgtl::text')
-
-        for j in li:
-            print(j.get())
-            text = j.get()
-            with open(NAME, 'a+', encoding='utf-8-sig') as f:
-                f.write(j.get().replace(",", " ") + '\n')
-
-
-    print("\n已获取歌单详情页的信息，保存至 data/name.csv")
-

musicListdemo/musicListdemo/spiders/music_url.py

@@ -1,40 +0,0 @@
-import scrapy
-# music_url.py
-
-INDEX = "C:\\Users\\aaa\\Desktop\\spiders163\\data\\url.csv"
-
-
-class MusicIndexSpider(scrapy.Spider):
-    name = "music_index"
-
-    def start_requests(self):
-        urls = []
-        for i in range(35, 1505, 35):
-            url = f'https://music.163.com/discover/playlist/?cat=80后&order=hot&limit=35&offset={i}'
-            urls.append(url)
-
-        for url in urls:
-            user_agent = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36'
-            yield scrapy.Request(url, headers={'User-Agent': user_agent})
-
-    def parse(self, response):
-
-        # 获取包含歌单详情页网址的标签
-        ids = response.css('.dec a')
-
-        # 获取包含歌单索引页信息的标签
-        # lis = response.css('#m-pl-container li')
-        # print('\r', len(lis), end='', flush=True)
-
-        for id in ids:
-            # 获取歌单详情页地址
-            url = id.attrib['href']
-
-            # 输出歌单索引页信息
-            print('\r', url, end='', flush=True)
-
-            # 将索引页写入CSV文件中
-            with open(INDEX, 'a+', encoding='utf-8') as f:
-                f.write(url + '\n')
-
-        print("\n已获取歌单索引页的信息，保存至 data/list.csv")

musicListdemo/scrapy.cfg

@@ -1,11 +0,0 @@
-# Automatically created by: scrapy startproject
-#
-# For more information about the [deploy] section see:
-# https://scrapyd.readthedocs.io/en/latest/deploy.html
-
-[settings]
-default = musicListdemo.settings
-
-[deploy]
-#url = http://localhost:6800/
-project = musicListdemo

music_wordcloud.py

@@ -6,9 +6,9 @@ import jieba
 import time
 
 
-def image_wordcloud():
+def data_visualization_of_music_wordcloud():
     """歌单介绍词云图"""
-    df = pd.read_csv('./data/detail.csv', header=None)
+    df = pd.read_csv('./music_data/music_detail.csv', header=None)
     text = ''
 
     print("正在生成歌单介绍词云图片...")
@@ -30,7 +30,7 @@ def image_wordcloud():
     for line in df[2]:
         text += ' '.join(jieba.cut(line, cut_all=False))
 
-    background_image = plt.imread('./image/background_image.jpg')
+    background_image = plt.imread('./music_image/background_image.jpg')
 
     stopwords = set('')
     stopwords.update(
@@ -63,10 +63,10 @@ def image_wordcloud():
     plt.axis('off')
 
     # 保存图片
-    wc.to_file("./image/music_wordcloud.png")
+    wc.to_file("./music_image/music_wordcloud.png")
 
     # 显示图片
     plt.show()
 
-    print("\n已生成歌单介绍词云图片，保存至 image/music_wordcloud.png")
+    print("\n已生成歌单介绍词云图片，保存至 music_image/music_wordcloud.png")
 

netease_cloud_music_data_analysis.py

@@ -1,9 +1,16 @@
 import os
 
-from playlists_top_10 import image_playlists_top_10
-from comment_top_10 import image_comment_top_10
-from label import image_label
-from lable_wordcloud import image_wordcloud
+#from music_index import get_data_of_music_list_index_page
+#from music_detail import get_data_of_music_list_detail_page
+#from top_10_song import data_visualization_of_top_10_song
+# from top_10_song_up import data_visualization_of_top_10_song_up
+from top_10_ea_song_playlists import data_visualization_of_top_10_ea_song_playlists
+#from top_10_of_ea_song_collection import data_visualization_of_top_10_of_ea_song_collection
+from top_10_of_ea_song_comment import data_visualization_of_top_10_of_ea_song_comment
+#from top_10_ea_song_collection_distribution import data_visualization_of_top_10_ea_song_collection_distribution
+#from top_10_ea_song_playlists_distribution import data_visualization_of_top_10_ea_song_playlists_distribution
+from label_ea_song import data_visualization_of_label_ea_song
+from music_wordcloud import data_visualization_of_music_wordcloud
 
 
 def menu():
@@ -29,23 +36,23 @@ def key_down():
         exit(0)
     elif option == 'a' or option == 'A':
         # 生成网易云音乐欧美歌单播放 TOP10 图片
-        image_playlists_top_10()
+        data_visualization_of_top_10_ea_song_playlists()
 
         return
     elif option == 'b' or option == 'B':
         # 生成网易云音乐欧美歌单评论 TOP10 图片
-        image_comment_top_10()
+        data_visualization_of_top_10_of_ea_sBong_comment()
 
         return
 
     elif option == 'c' or option == 'C':
         # 生成网易云音乐欧美歌单标签图片
-        image_label()
+        data_visualization_of_label_ea_song()
 
         return
     elif option == 'd' or option == 'D':
         # 生成歌单介绍词云图片
-        image_wordcloud()
+        data_visualization_of_music_wordcloud()
 
         return
     else:

rytyuiivalbvbatneshj.py

@@ -0,0 +1 @@
+import pandas

top_10_ea_song_playlists.py

@@ -4,9 +4,9 @@ import matplotlib.pyplot as plt
 import time
 
 
-def image_playlists_top_10():
+def data_visualization_of_top_10_ea_song_playlists():
     """网易云音乐欧美歌单播放 TOP10"""
-    df = pd.read_csv('./data/detail.csv', header=None)
+    df = pd.read_csv('./music_data/music_detail.csv', header=None)
     df['play'] = df[4]
 
     print("正在生成网易云音乐欧美歌单播放 TOP10 图片...")
@@ -60,20 +60,20 @@ def image_playlists_top_10():
     lines.yaxis.set_ticks_position('none')
 
     # 绘制柱状图,设置柱状图颜色
-    data.plot.barh(ax=ax, width=0.7, alpha=0.7, color=(135/255, 43/255, 135/255))
+    data.plot.barh(ax=ax, width=0.7, alpha=0.7, color=(136/255, 43/255, 48/255))
 
     # 添加标题,设置字体属性
-    ax.set_title('**【网易云音乐欧美歌单播放 TOP10】**', fontsize=18, fontweight='light')
+    ax.set_title('网易云音乐欧美歌单播放 TOP10', fontsize=18, fontweight='light')
 
     # 添加歌单收藏数量文本
     for x, y in enumerate(data.values):
         num = str(int(y / 10000))
-        plt.text(y+1800000, x-0.08, '%s' % (num + '万'), ha='left')
+        plt.text(y+1800000, x-0.08, '%s' % (num + '万'), ha='center')
 
     # 保存图片
-    plt.savefig('./image/playlists_top_10.png', dpi=None)
+    plt.savefig('./music_image/top_10_ea_song_playlists.png', dpi=None)
 
     # 显示图片
     plt.show()
 
-    print("\n已生成网易云音乐欧美歌单播放 TOP10 图片，保存至 image/playlists_top_10.png")
+    print("\n已生成网易云音乐欧美歌单播放 TOP10 图片，保存至 music_image/top_10_ea_song_playlists.png")

top_10_of_ea_song_comment.py

@@ -4,9 +4,9 @@ import matplotlib.pyplot as plt
 import time
 
 
-def image_comment_top_10():
+def data_visualization_of_top_10_of_ea_song_comment():
     """网易云音乐欧美歌单评论 TOP10"""
-    df = pd.read_csv('./data/detail.csv', header=None)
+    df = pd.read_csv('./music_data/music_detail.csv', header=None)
 
     print("正在生成网易云音乐欧美歌单评论 TOP10 图片...")
 
@@ -62,17 +62,17 @@ def image_comment_top_10():
     lines.yaxis.set_ticks_position('none')
 
     # 绘制柱状图,设置柱状图颜色
-    data.plot.barh(ax=ax, width=0.7, alpha=0.7, color=(10/255, 70/255, 100/255))
-    ax.set_title('**【网易云音乐欧美歌单评论 TOP10】**', fontsize=18, fontweight='light')
+    data.plot.barh(ax=ax, width=0.7, alpha=0.7, color=(160/255, 102/255, 50/255))
+    ax.set_title('网易云音乐欧美歌单评论 TOP10', fontsize=18, fontweight='light')
 
     # 添加歌单评论数量文本
     for x, y in enumerate(data.values):
-        plt.text(y+200, x-0.08, '%s' % y, ha='left')
+        plt.text(y+200, x-0.08, '%s' % y, ha='center')
 
     # 保存图片
-    plt.savefig('./image/comment_top_10.png', dpi=None)
+    plt.savefig('./music_image/top_10_of_ea_song_comment.png', dpi=None)
 
     # 显示图片
     plt.show()
 
-    print("\n已生成网易云音乐欧美歌单评论 TOP10 图片，保存至 image/comment_top_10.png")
+    print("\n已生成网易云音乐欧美歌单评论 TOP10 图片，保存至 music_image/top_10_of_ea_song_comment.png")