This repository has been archived by the owner on Jun 3, 2024. It is now read-only.
-
Notifications
You must be signed in to change notification settings - Fork 0
/
index.html
155 lines (145 loc) · 4.31 KB
/
index.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width,height=device-height" />
<title>中国大陆星巴克门店统计</title>
<style>
::-webkit-scrollbar {
display: none;
}
html,
body {
overflow: hidden;
height: 100%;
margin: 0;
}
.title {
text-align: center;
}
</style>
</head>
<body>
<a
href="https://github.com/sinchang/cn-starbucks-stores-data"
class="github-corner"
aria-label="View source on Github"
><svg
width="80"
height="80"
viewBox="0 0 250 250"
style="
fill: #151513;
color: #fff;
position: absolute;
top: 0;
border: 0;
right: 0;
"
aria-hidden="true"
>
<path d="M0,0 L115,115 L130,115 L142,142 L250,250 L250,0 Z"></path>
<path
d="M128.3,109.0 C113.8,99.7 119.0,89.6 119.0,89.6 C122.0,82.7 120.5,78.6 120.5,78.6 C119.2,72.0 123.4,76.3 123.4,76.3 C127.3,80.9 125.5,87.3 125.5,87.3 C122.9,97.6 130.6,101.9 134.4,103.2"
fill="currentColor"
style="transform-origin: 130px 106px"
class="octo-arm"
></path>
<path
d="M115.0,115.0 C114.9,115.1 118.7,116.5 119.8,115.4 L133.7,101.6 C136.9,99.2 139.9,98.4 142.2,98.6 C133.8,88.0 127.5,74.4 143.8,58.0 C148.5,53.4 154.0,51.2 159.7,51.0 C160.3,49.4 163.2,43.6 171.4,40.1 C171.4,40.1 176.1,42.5 178.8,56.2 C183.1,58.6 187.2,61.8 190.9,65.4 C194.5,69.0 197.7,73.2 200.1,77.6 C213.8,80.2 216.3,84.9 216.3,84.9 C212.7,93.1 206.9,96.0 205.4,96.6 C205.1,102.4 203.0,107.8 198.3,112.5 C181.9,128.9 168.3,122.5 157.7,114.1 C157.9,116.9 156.7,120.9 152.7,124.9 L141.0,136.5 C139.8,137.7 141.6,141.9 141.8,141.8 Z"
fill="currentColor"
class="octo-body"
></path></svg
></a>
<style>
.github-corner:hover .octo-arm {
animation: octocat-wave 560ms ease-in-out;
}
@keyframes octocat-wave {
0%,
100% {
transform: rotate(0);
}
20%,
60% {
transform: rotate(-25deg);
}
40%,
80% {
transform: rotate(10deg);
}
}
@media (max-width: 500px) {
.github-corner:hover .octo-arm {
animation: none;
}
.github-corner .octo-arm {
animation: octocat-wave 560ms ease-in-out;
}
}
#myChart {
margin: 40px;
}
</style>
<p class="title">中国大陆星巴克门店统计(总数：<span id="total"></span>)</p>
<canvas id="myChart"></canvas>
<script
src="https://cdn.jsdelivr.net/npm/[email protected]/dist/chart.min.js"
integrity="sha256-cHVO4dqZfamRhWD7s4iXyaXWVK10odD+qp4xidFzqTI="
crossorigin="anonymous"
></script>
<script type="text/javascript">
fetch("./format.json")
.then((res) => {
return res.json();
})
.then((data) => {
console.log(data);
document.getElementById("total").innerHTML = data.total;
const ctx = document.getElementById("myChart");
const myChart = new Chart(ctx, {
type: "bar",
data: {
labels: data.data.map((item) => item.name),
datasets: [
{
backgroundColor: "#00A862",
data: data.data.map((item) => item.count),
},
],
},
options: {
scales: {
x: {
grid: {
display: false,
},
},
y: {
grid: {
display: false,
},
},
},
plugins: {
legend: false,
},
},
});
});
</script>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script
async
src="https://www.googletagmanager.com/gtag/js?id=UA-41610509-12"
></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag() {
dataLayer.push(arguments);
}
gtag("js", new Date());
gtag("config", "UA-41610509-12");
</script>
</body>
</html>