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rory0807 · rory0807 · commit 749028323be9 · 2020-11-24T21:37:46.000+08:00
diff --git a/moumoubaimifan/yyqjw/yyqjw.py b/moumoubaimifan/yyqjw/yyqjw.py
@@ -0,0 +1,180 @@
+import csv
+import re
+from functools import reduce
+
+import requests
+import json
+import time
+from pathlib import Path
+
+from tencentcloud.common import credential
+from tencentcloud.common.profile.client_profile import ClientProfile
+from tencentcloud.common.profile.http_profile import HttpProfile
+from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
+from tencentcloud.nlp.v20190408 import nlp_client, models
+from pyecharts import options as opts
+from pyecharts.charts import Bar
+from pyecharts.commons.utils import JsCode
+from pyecharts.globals import ThemeType
+import jieba
+import wordcloud
+
+import ssl
+ssl._create_default_https_context=ssl._create_unverified_context
+
+# csv保存函数
+def csv_write(tablelist):
+    tableheader = ['弹幕内容', '情感']
+    csv_file = Path('danmu.csv')
+    not_file = not csv_file.is_file()
+    with open('danmu.csv', 'a', newline='', errors='ignore') as f:
+        writer = csv.writer(f)
+        if not_file:
+            writer.writerow(tableheader)
+        for row in tablelist:
+            writer.writerow(row)
+
+def nlp(text):
+    try:
+        cred = credential.Credential("AKIDqUs00jXM04sUpl7lqejX4IUIp38NuxJj", "D9nBJ9wTNzMSHwLSnBzXn3nrxoYTAZsg")
+        httpProfile = HttpProfile()
+        httpProfile.endpoint = "nlp.tencentcloudapi.com"
+
+        clientProfile = ClientProfile()
+        clientProfile.httpProfile = httpProfile
+        client = nlp_client.NlpClient(cred, "ap-guangzhou", clientProfile)
+
+        req = models.SentimentAnalysisRequest()
+        params = {
+            "Text": text,
+            "Mode": "3class"
+        }
+        req.from_json_string(json.dumps(params))
+
+        resp = client.SentimentAnalysis(req)
+        sentiment = {'positive': '正面', 'negative': '负面', 'neutral': '中性'}
+        return sentiment[resp.Sentiment]
+    except TencentCloudSDKException as err:
+        print(err)
+
+# df = pd.DataFrame()
+def danmu():
+    headers = {
+        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.80 Safari/537.36'
+    }
+    urls = [['https://mfm.video.qq.com/danmu?otype=json&callback=&target_id=6208914107%26vid%3Do0035t7199o&session_key=63761%2C673%2C1606144955&timestamp={}&_=1606144949402', 7478],
+            ['https://mfm.video.qq.com/danmu?otype=json&callback=&target_id=6208234802%26vid%3Da00352eyo25&session_key=111028%2C1191%2C1606200649&timestamp={}&_=1606200643186', 8610]]
+
+    for url in urls:
+        for page in range(15, url[1], 30):
+            u = url[0].format(page)
+            html = requests.get(u, headers=headers)
+            result = json.loads(html.text, strict=False)
+            time.sleep(1)
+            danmu_list = []
+            # 遍历获取目标字段
+            for i in result['comments']:
+                content = i['content']  # 弹幕内容
+                n = nlp(content)
+                danmu_list.append([content, n])
+                print(content)
+            csv_write(danmu_list)
+
+def analysis():
+    guest = {'陈凯歌,陈导,凯歌':{'正面':0,'负面':0,'中性':0},
+             '尔冬升,尔导':{'正面':0,'负面':0,'中性':0},
+             '赵薇,薇导':{'正面':0,'负面':0,'中性':0},
+             '郭敬明,郭导,小四':{'正面':0,'负面':0,'中性':0},
+             '大鹏':{'正面':0,'负面':0,'中性':0}}
+
+    with open('danmu.csv') as f:
+        csv_reader = csv.reader(f)
+        for row in csv_reader:
+            for g in guest.keys():
+                for i in g.split(','):
+                    a = [m.start() for m in re.finditer(i, row[0])]
+                    if len(a) != 0:
+                        guest[g][row[1]] = guest.get(g).get(row[1]) + 1
+    return guest
+
+def draw(guest = {}):
+
+    list1 = [
+        {"value": guest.get('陈凯歌,陈导,凯歌').get('正面'), "percent": guest.get('陈凯歌,陈导,凯歌').get('正面') / reduce(lambda x,y:x+y,guest.get('陈凯歌,陈导,凯歌').values())},
+        {"value": guest.get('尔冬升,尔导').get('正面'), "percent": guest.get('尔冬升,尔导').get('正面') / reduce(lambda x,y:x+y,guest.get('尔冬升,尔导').values())},
+        {"value": guest.get('赵薇,薇导').get('正面'), "percent": guest.get('赵薇,薇导').get('正面') / reduce(lambda x,y:x+y,guest.get('赵薇,薇导').values())},
+        {"value": guest.get('郭敬明,郭导,小四').get('正面'), "percent": guest.get('郭敬明,郭导,小四').get('正面') / reduce(lambda x,y:x+y,guest.get('郭敬明,郭导,小四').values())},
+        {"value": guest.get('大鹏').get('正面'), "percent": guest.get('大鹏').get('正面') / reduce(lambda x,y:x+y,guest.get('大鹏').values())},
+    ]
+    list2 = [
+        {"value": guest.get('陈凯歌,陈导,凯歌').get('负面'),
+         "percent": guest.get('陈凯歌,陈导,凯歌').get('负面') / reduce(lambda x, y: x + y, guest.get('陈凯歌,陈导,凯歌').values())},
+        {"value": guest.get('尔冬升,尔导').get('负面'),
+         "percent": guest.get('尔冬升,尔导').get('负面') / reduce(lambda x, y: x + y, guest.get('尔冬升,尔导').values())},
+        {"value": guest.get('赵薇,薇导').get('负面'),
+         "percent": guest.get('赵薇,薇导').get('负面') / reduce(lambda x, y: x + y, guest.get('赵薇,薇导').values())},
+        {"value": guest.get('郭敬明,郭导,小四').get('负面'),
+         "percent": guest.get('郭敬明,郭导,小四').get('负面') / reduce(lambda x, y: x + y, guest.get('郭敬明,郭导,小四').values())},
+        {"value": guest.get('大鹏').get('负面'),
+         "percent": guest.get('大鹏').get('负面') / reduce(lambda x, y: x + y, guest.get('大鹏').values())},
+    ]
+
+    list3 = [
+        {"value": guest.get('陈凯歌,陈导,凯歌').get('中性'),
+         "percent": guest.get('陈凯歌,陈导,凯歌').get('中性') / reduce(lambda x, y: x + y, guest.get('陈凯歌,陈导,凯歌').values())},
+        {"value": guest.get('尔冬升,尔导').get('中性'),
+         "percent": guest.get('尔冬升,尔导').get('中性') / reduce(lambda x, y: x + y, guest.get('尔冬升,尔导').values())},
+        {"value": guest.get('赵薇,薇导').get('中性'),
+         "percent": guest.get('赵薇,薇导').get('中性') / reduce(lambda x, y: x + y, guest.get('赵薇,薇导').values())},
+        {"value": guest.get('郭敬明,郭导,小四').get('中性'),
+         "percent": guest.get('郭敬明,郭导,小四').get('中性') / reduce(lambda x, y: x + y, guest.get('郭敬明,郭导,小四').values())},
+        {"value": guest.get('大鹏').get('中性'),
+         "percent": guest.get('大鹏').get('中性') / reduce(lambda x, y: x + y, guest.get('大鹏').values())},
+    ]
+
+    c = (
+        Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
+            .add_xaxis(['陈凯歌', '尔冬升', '赵薇', '郭敬明', '大鹏'])
+            .add_yaxis("正面", list1, stack="stack1", category_gap="50%")
+            .add_yaxis("负面", list2, stack="stack1", category_gap="50%")
+            .add_yaxis("中性", list3, stack="stack1", category_gap="50%")
+            .set_series_opts(
+            label_opts=opts.LabelOpts(
+                position="right",
+                formatter=JsCode(
+                    "function(x){return Number(x.data.percent * 100).toFixed() + '%';}"
+                ),
+            )
+        )
+            .render("导演.html")
+    )
+
+
+def ciyun():
+    with open('danmu.csv') as f:
+        with open('ciyun.txt', 'a') as ciyun_file:
+            csv_reader = csv.reader(f)
+            for row in csv_reader:
+                ciyun_file.write(row[0])
+
+    # 构建并配置词云对象w
+    w = wordcloud.WordCloud(width=1000,
+                            height=700,
+                            background_color='white',
+                            font_path="/System/Library/fonts/PingFang.ttc",
+                            collocations=False,
+                            stopwords={'的', '了','啊','我','很','是','好','这','都','不'})
+
+
+    f = open('ciyun.txt', encoding='utf-8')
+    txt = f.read()
+    txtlist = jieba.lcut(txt)
+    result = " ".join(txtlist)
+
+    w.generate(result)
+
+    w.to_file('演员请就位2.png')
+
+
+if __name__ == "__main__":
+    ciyun()
