b站弹幕密度排序，寻找高能瞬间

幽梦三影 · 发表于 2019-2-11 15:48:17

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本帖最后由幽梦三影于 2019-8-9 12:57 编辑

import random
import re
from collections import Counter
import requests
from lxml import etree
class Danmu_Analyser:
def __init__(self, url):
self.url = url
self.long_time = ""
self.headers = {
'User-Agent': "Mozilla/5.0 (iPhone; CPU iPhone OS 11_0 like Mac OS X) AppleWebKit/604.1.38 (KHTML, like Gecko) Version/11.0 Mobile/15A372 Safari/604.1",
'Referer': 'https://t.bilibili.com/pages/nav/index',
'Cookie': "你的b站cookie"
}
def transform_date(self, t):
m, s = divmod(int(t), 60)
h, m = divmod(m, 60)
result = "%02d:%02d:%02d" % (h, m, s)
return result
def get_cid(self):
text = requests.get(self.url, headers=self.headers).content.decode()
cid = re.findall(r'cid":(\d+?),', text)
self.long_time = re.findall(r'"duration":(\d+?),"vid', text)[0]
return cid
def get_data(self):
data = []
for cid in self.get_cid():
new_url = "https://comment.bilibili.com/{}.xml".format(cid)
html = requests.get(new_url).content.decode()
html = bytes(bytearray(html, encoding='utf-8'))
select = etree.HTML(html)
data_dict = {}
data_dict['danmu'] = select.xpath('//d/text()')
data_dict['send_time'] = select.xpath('//d/@p')
data.append(data_dict)
return data
def data_deal(self):
all_data = []
f = self.get_data()
danmu = f[0]["danmu"]
send_time = f[0]["send_time"]
data = list(zip(danmu, send_time))
for i in data:
t = i[1].split(",")[0].split(".")[0]
t = self.transform_date(t)
data_dict = {}
data_dict["send_time"] = t
data_dict["danmu"] = i[0]
all_data.append(data_dict)
return all_data
def analyse(self):
data = self.data_deal()
send_time = [i["send_time"] for i in data]
all_damu = [{"name": i["danmu"], "value": random.randint(1, 10)} for i in data]
long_time = [self.transform_date(i) for i in range(int(self.long_time) + 1)]
s = Counter(send_time)
r = {}
for i in long_time:
if i in s.keys():
r[i] = s[i]
else:
r[i] = "0"
return r, all_damu
def write_js_file(self):
html = '''
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Title</title>
</head>
<body>
<div id="main" style="width: 1700px;height: 700px;"></div>
<script src="echarts.js"></script>
<script>
let data = ''' + str(self.analyse()[0]) + ''';
let y = Object.values(data);
let x = Object.keys(data);
var myChart = echarts.init(document.getElementById('main'));
myChart.setOption({
title: {
text: 'bilibili弹幕密度'
},
xAxis: {
data: x
},
yAxis: {},
series: [{
name: '弹幕',
type: 'bar',
data: y
}]
});
</script>
</body>
'''
with open("./echarts/index.html", "w") as f:
f.write(html)
def write_danmu(self):
html = '''
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>词云图</title>
<script src="./echarts.js"></script>
<script src="./echarts-wordcloud.js"></script>
</head>
<body>
<div id="main" style="width: 1700px;height: 700px;"></div>
<script type="text/javascript">
var mychart = echarts.init(document.getElementById("main"));
var jsonlist = ''' + str(self.analyse()[1]) + ''';
// 五角星图片
image = "data:image/png;base64,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";
var maskImage = new Image();
maskImage.src = image;
var option = {
title: {
text: '词云图',
left: 'center'
},
series: [
{
maskImage:maskImage,
type: 'wordCloud',
// 设置字符大小范围
sizeRange: [6, 66],
rotationRange: [-45, 90],
textStyle: {
normal: {
color: function () {
return 'rgb(' + [
Math.round(Math.random() * 160),
Math.round(Math.random() * 160),
Math.round(Math.random() * 160)
].join(',') + ')';
}
}
},
data: jsonlist
}
]
};
maskImage.onload = function(){
mychart.setOption(option)
};
</script>
</body>
</html>'''
with open("./echarts/word.html", "w") as f:
f.write(html)
if __name__ == "__main__":
av = input("请输入av号:")
danmu_analyser = Danmu_Analyser(f"https://m.bilibili.com/video/av{av}.html")
while 1:
try:
danmu_analyser.write_danmu()
break
except requests.exceptions.ConnectionError:
continue

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塔利班 · 发表于 2019-2-11 16:09:39

阿伟死了

wy1018651314 · 发表于 2019-4-24 15:58:32

6666666666666666

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[作品展示] b站弹幕密度排序，寻找高能瞬间

马上注册，结交更多好友，享用更多功能^_^