出租车数据的地图展示
出租车数据的地图展示
实现方法
python数据预处理后将数据导入地图代码。
效果
数据预处理：
f1['dropoff_longitude'].fillna(value=f1['dropoff_longitude'].mean(), inplace=True)
plt.boxplot(f1["dropoff_longitude"])
plt.show()
#超过了上四分位1.5倍四分位距或下四分位1.5倍距离都算异常值，用中位数填充
a = f1["dropoff_longitude"].quantile(0.75)
b = f1["dropoff_longitude"].quantile(0.25)
c = f1["dropoff_longitude"]
c[(c>=(a-b)*1.5+a)|(c<=b-(a-b)*1.5)]=np.nan
c.fillna(c.median(),inplace=True)
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<html xmlns="http://www.w3.org/1999/xhtml">
<head runat="server">
<title></title>
<script type="text/javascript" src="http://api.map.baidu.com/api?v=1.5&ak= 你的密钥 "></script>
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#c {
height: 469px;
width: 1092px;
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<form id="form1" runat="server">
<div id="c">
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var map=new BMap.Map("c", {});//BMap类
var point=new BMap.Point(116 ,40);//创建点
map.centerAndZoom(point, 1); //初始化，中心点，地图级别 Zoom 快速移动; 迅速前往; 急剧增长; 猛涨;
map.addControl(new BMap.NavigationControl()); //添加缩放控件 导航; 领航; 航行;
map.enableScrollWheelZoom(); //启用滚轮放大缩小
var maker =new BMap.Marker(point);//标注 maker
map.addOverlay(maker);
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var i = 0;
function markerFun (points) {
var markers = new BMap.Marker(points);
map.addOverlay(markers);
}
for (;i<mapPoints.length;i++) {
var points = new BMap.Point(mapPoints[i].y,mapPoints[i].x);//创建坐标点
markerFun(points);
}
/*
// var myLabel = new BMap.Label("东门", { offset: new BMap.Size(-50, -50), position:point }); //offset 相对位置
//myLabel.setTitle("某某公司"); //提示信息
map.addOverlay(myLabel);
var polyline = new BMap.Polyline([
new BMap.Point( ),
new BMap.Point( ),
new BMap.Point( )
]);
map.addOverlay(polyline);
var traffic = new BMap.TrafficLayer(); //创建交通图层
function b() {
map.addTileLayer(traffic);
}
function c() {
map.removeTileLayer(traffic);
}
*/
</script>
</form>
<p>
</body>
</html>