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Commit 296a2ab4 by BellCodeEditor
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parent 0b12f243
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Showing with 54 additions and 30 deletions
analysis.html
......@@ -7,11 +7,11 @@
</head>
<body>
<div id="da954c8b638842c08d8be257eb4fc00a" class="chart-container" style="width:900px; height:500px;"></div>
<div id="ed849ff026fb4b9781f847a65fb85cb1" class="chart-container" style="width:900px; height:500px;"></div>
<script>
var chart_da954c8b638842c08d8be257eb4fc00a = echarts.init(
document.getElementById('da954c8b638842c08d8be257eb4fc00a'), 'white', {renderer: 'canvas'});
var option_da954c8b638842c08d8be257eb4fc00a = {
var chart_ed849ff026fb4b9781f847a65fb85cb1 = echarts.init(
document.getElementById('ed849ff026fb4b9781f847a65fb85cb1'), 'white', {renderer: 'canvas'});
var option_ed849ff026fb4b9781f847a65fb85cb1 = {
"animation": true,
"animationThreshold": 2000,
"animationDuration": 1000,
......@@ -49,20 +49,44 @@
"series": [
{
"type": "bar",
"name": "\u6d48\u6d48\u7684\u6210\u7ee9",
"name": "\u671f\u4e2d",
"legendHoverLink": true,
"data": [
88,
92,
95,
96,
94,
62,
66,
64,
82,
88
],
"showBackground": false,
"barWidth": 40,
"barMinHeight": 0,
"barCategoryGap": "20%",
"barGap": "30%",
"large": false,
"largeThreshold": 400,
"seriesLayoutBy": "column",
"datasetIndex": 0,
"clip": true,
"zlevel": 0,
"z": 2,
"label": {
"show": true,
"position": "top",
"margin": 8
}
},
{
"type": "bar",
"name": "\u671f\u672b",
"legendHoverLink": true,
"data": [
95,
79,
93,
89
90
],
"showBackground": false,
"barWidth": 40,
"barMinHeight": 0,
"barCategoryGap": "20%",
"barGap": "30%",
......@@ -83,10 +107,12 @@
"legend": [
{
"data": [
"\u6d48\u6d48\u7684\u6210\u7ee9"
"\u671f\u4e2d",
"\u671f\u672b"
],
"selected": {
"\u6d48\u6d48\u7684\u6210\u7ee9": true
"\u671f\u4e2d": true,
"\u671f\u672b": true
}
}
],
......@@ -129,15 +155,10 @@
}
},
"data": [
"\u8bed\u6587",
"\u6570\u5b66",
"\u82f1\u8bed",
"\u5730\u7406",
"\u5386\u53f2",
"\u653f\u6cbb",
"\u751f\u7269",
"\u5316\u5b66",
"\u7269\u7406"
"\u6d48\u6d48",
"\u806a\u806a",
"\u5c0f\u667a",
"\u6ce2\u5947"
]
}
],
......@@ -165,7 +186,7 @@
}
]
};
chart_da954c8b638842c08d8be257eb4fc00a.setOption(option_da954c8b638842c08d8be257eb4fc00a);
chart_ed849ff026fb4b9781f847a65fb85cb1.setOption(option_ed849ff026fb4b9781f847a65fb85cb1);
</script>
</body>
</html>
my_analysis.py
from pyecharts.charts import Bar
subjects = ["语文","数学","英语","地理","历史","政治","生物","化学","物理"]
scores = [88, 95, 96, 94, 62, 66, 64, 93, 89]
subjects = ["浈浈", "聪聪", "小智", "波奇"]
scores1 = [92, 95, 82, 88]
scores2 = [95, 79, 93, 90]
# 创建对应的图表对象
bar = Bar()
# 传入x轴和y轴的数据
# 创建柱状图对象
bar =Bar()
# 传入数值
bar.add_xaxis(subjects)
bar.add_yaxis("浈浈的成绩", scores)
bar.add_yaxis("期中", scores1, bar_width=40)
bar.add_yaxis("期末", scores2, bar_width=40)
# 保存到本地文件
bar.render("analysis.html")
\ No newline at end of file
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