介绍 # - *编码:use utf8 - * -
#输入数据生成热力图html,借助了传单,没网不能用
import 操作系统
import 叶
data=https://www.yisu.com/zixun/[(39.90403, 116.407526, 23014.59), (39.084158, 117.200983, 16538.19), (38.042309, 114.514862, 5440.6), (37.87059, 112.548879, 2735.34), (40.842585, 111.74918, 3090.52), (41.805698, 123.431474, 7272.31), (38.914003, 121.614682, 7731.64), (43.817071, 125.323544, 5530.03), (45.803775, 126.534967, 5751.21), (31.230416, 121.473701, 25123.45), (32.060255, 118.796877, 9720.77), (30.274084, 120.15507, 10050.21), (29.874556, 121.550357, 8003.61), (31.820586, 117.227239, 5660.27), (26.074507, 119.296494, 5618.08), (24.479833, 118.089425, 3466.03), (28.682892, 115.858197, 4000.01), (36.651216, 117.119999, 6100.23), (36.067082, 120.382639, 9300.07), (34.746599, 113.625368, 7311.52), (30.593098, 114.305392, 10905.6), (28.228209, 112.938814, 8510.13), (23.129162, 113.264434, 18100.41), (22.543099, 114.057868, 17502.86), (22.817002, 108.366543, 3410.09), (20.044001, 110.198293, 1161.96), (29.563009, 106.551556, 15717.27), (30.572269, 104.066541, 10801.16), (26.647661, 106.630153, 2891.16), (24.880095, 102.832891, 3968.01), (29.645554, 91.140856, 376.73), (34.341568, 108.940174, 5801.2), (36.061089, 103.834303, 2095.99), (36.617144, 101.778228, 1131.62), (38.487193, 106.230909, 1493.86), (43.825592, 87.616848, 2631.64)]=(np.random #数据。正常(大?(100 3))* # np。阵列([[1,1,1]])+ # np。阵列([[48 5 1]])).tolist ()
从叶。插件导入的热图
m=叶。地图([33。, 113年。),瓷砖=' stamentoner ' zoom_start=5)
热图(数据).add_to (m)
# m.save (os.path。加入(r会:/data_dir2”、“Heatmap.html”) #存放路径记得改
m.save (Heatmap.html) #存放路径记得改
这篇文章主要介绍了python怎么实现输入的数据在地图上生成热力图效果,具有一定借鉴价值,感兴趣的朋友可以参考下,希望大家阅读完这篇文章之后大有收获、下面让小编带着大家一起了解一下。
<强>注意要先安装叶,代码如下
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