T85_code/get_altitude.ipynb at 8237af04c7dacbed6d643afe4c6ab2ca40d16c7b

17 KiB

Raw Blame History

In [1]:

import json
import time
from typing import List
import requests
import pandas as pd


class GetElevation:

    @classmethod
    def __SendQuery(cls, latLngString: str) -> json:
        query = ('https://api.opentopodata.org/v1/mapzen?locations={}&interpolation=bilinear'.format(latLngString))
        res = requests.get(query).json()
        if res["status"] != "OK":
            raise Exception(res["error"])
        return res

    def GetSingleElevation(self, latitude: float, longitude: float) -> float:
        """
        获取单个高程，输入经纬度格式为数值类型，返回值为高程float类型
        :param latitude: 纬度
        :param longitude: 经度
        :return: 高程
        """
        if latitude < -90 or latitude > 90:
            raise Exception("纬度的范围应在-90-90之间！请检查数据源！")
        latLngString = str(latitude) + "," + str(longitude)
        res = self.__SendQuery(latLngString)
        elevation = res["results"][0]["elevation"]
        return elevation

    def GetMultiElevation(self, latitude: List[float], longitude: List[float]) -> List[float]:
        """
        获取数组类型的高程，输入经纬度格式为经度数组和纬度数组，返回值为高程数组
        :param latitude:纬度数组
        :param longitude:经度数组
        :return:高程数组
        """
        if len(latitude) != len(longitude):
            raise Exception("纬度数组和经度数组长度不一致！请检查数据源！")
        for lat in latitude:
            if lat < -90 or lat > 90:
                raise Exception("纬度的范围应在-90-90之间！请检查数据源！")
        elevationList = []
        hundredNums = len(latitude) // 100
        # 查询整百的高程
        for i in range(hundredNums):
            latLngString = ""
            for idx in range(100 * i, 100 * (i + 1)):
                latLngString += (str(latitude[idx]) + "," + str(longitude[idx]) + "|")
            res = self.__SendQuery(latLngString)
            for idx in range(100):
                elevationList.append(res["results"][idx]["elevation"])
            time.sleep(1)
        # 查询剩余的不到100的高程
        latLngString = ""
        for i in range(hundredNums * 100, len(latitude)):
            latLngString += (str(latitude[i]) + "," + str(longitude[i]) + "|")
        res = self.__SendQuery(latLngString)
        for i in range(len(latitude) - hundredNums * 100):
            elevationList.append(res["results"][i]["elevation"])
        return elevationList

    def ExportToXlsx(self, latLongDf: pd.DataFrame, elevationList: List[float], outputPath: str) -> None:
        """
    如果用户可以传入一个DataFrame数据，可以将返回得到的高程拼接并输出
    :param latLongDf: DataFrame数据
    :param elevationList: 高程数组
    :param outputPath: 输出路径
    :return: 无返回值
    """
        latLongDf["elevation"] = elevationList
        latLongDf.to_excel(outputPath, index=False)

In [8]:

data = pd.read_excel('./lat_lon.xlsx')
data.columns = ['plant', 'longitude', 'latitude']
data = data.groupby('plant').mean().reset_index()
data.head()

Out[8]:

	plant	longitude	latitude
0	万方发电厂（焦作爱依斯万方电力有限公司)	113.381649	35.255622
1	三河发电有限责任公司	116.860260	39.953617
2	上海上电漕泾发电有限公司	121.407593	30.765242
3	上海吴泾发电有限责任公司	121.471140	31.065113
4	上海吴泾第二发电有限责任公司	121.471340	31.062532

In [3]:

ele = GetElevation()

In [9]:

help(ele.GetMultiElevation)

Help on method GetMultiElevation in module __main__:

GetMultiElevation(latitude: List[float], longitude: List[float]) -> List[float] method of __main__.GetElevation instance
    获取数组类型的高程，输入经纬度格式为经度数组和纬度数组，返回值为高程数组
    :param latitude:纬度数组
    :param longitude:经度数组
    :return:高程数组

In [10]:

multiEle = ele.GetMultiElevation(data["latitude"], data["longitude"])
print(multiEle)

[88.0, 27.0, 4.0, 3.0, 4.0, 2.0, 8.0, -2.0, 5.0, 7.0, 3.0, 58.0, 55.0, 775.0, 594.0, -3.0, 1273.0, 145.0, 145.0, 548.0, 21.0, 28.0, 48.0, 1117.0, 14.0, 1172.0, 387.0, 124.0, 1391.0, 1708.0, 1278.0, 440.0, 135.0, 494.0, 1143.0, 1869.0, 1656.0, 1873.0, 124.0, 361.0, 30.0, 971.0, -3.0, 80.0, 475.0, 1622.0, 292.0, 1317.0, 1385.0, 247.0, 1312.0, 1106.0, 1225.0, 1006.0, 1237.0, 1151.0, 555.0, 1024.0, 694.0, 1226.0, 1050.0, 1162.0, 285.0, 1007.0, 1207.0, 1023.0, 178.0, 861.0, 1171.0, 1069.0, 1015.0, 90.0, 1.0, 83.0, 1037.0, 1037.0, 1114.0, 1069.0, 1107.0, 1076.0, 1054.0, 1165.0, 1255.0, 14.0, 52.0, 171.0, 351.0, 49.0, -5.0, 7.0, -2.0, 152.0, 2.0, -2.0, 5.0, 51.0, 51.0, 606.0, 270.0, 1031.0, 1017.0, 595.0, 65.0, 279.0, 1089.0, 218.0, 57.0, 777.0, 9.0, 84.0, 520.0, 622.0, 574.0, 724.0, 582.0, 1010.0, 505.0, 1010.0, 1.0, 1.0, 59.0, 72.0, 10.0, 65.0, 64.0, 75.0, 57.0, 80.0, 118.0, 151.0, 250.0, 0.0, 1459.0, 1036.0, 1884.0, 286.0, 27.0, 2.0, 13.0, 6.0, 65.0, 3.0, 1331.0, 675.0, 240.0, 2007.0, 1590.0, 1532.0, 1545.0, 36.0, 6.0, 7.0, 199.0, 38.0, 76.0, 0.0, 73.0, 4.0, 1.0, 22.0, -2.0, 40.0, 2.0, 148.0, -1.0, 7.0, 22.0, 1149.0, 154.0, 27.0, 24.0, 44.0, 1130.0, 1277.0, 34.0, 154.0, 718.0, 1504.0, 1034.0, 19.0, 5.0, 172.0, 160.0, 27.0, 26.0, 26.0, 206.0, 19.0, 507.0, 75.0, 177.0, 102.0, 6.0, 30.0, 93.0, 218.0, -34.0, 67.0, 131.0, 1544.0, 708.0, 199.0, 119.0, 99.0, 14.0, 6.0, 11.0, 5.0, 9.0, 8.0, 130.0, 133.0, 180.0, 26.0, 1048.0, 73.0, 326.0, 192.0, 175.0, 185.0, 151.0, 151.0, 18.0, 308.0, 404.0, 360.0, 296.0, 208.0, 45.0, 46.0, 136.0, 573.0, 144.0, 147.0, -4.0, 86.0, 68.0, 167.0, 1479.0, 123.0, 35.0, 55.0, 1.0, 112.0, 8.0, 16.0, 20.0, 6.0, 19.0, 47.0, 528.0, 17.0, 627.0, -3.0, -1.0, 1459.0, 81.0, 91.0, 1122.0, 7.0, 1087.0, 1174.0, 81.0, 1349.0, 788.0, 451.0, 361.0, 65.0, 147.0, 25.0, 545.0, 1466.0, 264.0, 223.0, 56.0, 1327.0, 45.0, 45.0, 1052.0, 5.0, 1052.0, 180.0, 35.0, 1087.0, 1.0, 32.0, 1405.0, 699.0, 699.0, 1266.0, 35.0, 18.0, 116.0, 221.0, 186.0, 184.0, 7.0, 132.0, 1165.0, 1118.0, 1252.0, 29.0, 0.0, 7.0, 1184.0, 93.0, 91.0, 32.0, 849.0, 58.0, 7.0, 1.0, -6.0, -5.0, 39.0, 16.0, 12.0, 13.0, 9.0, 0.0, 132.0, 52.0, 7.0, 25.0, 32.0, 83.0, 1787.0, 0.0, 69.0, 24.0, 1.0, 3.0, -2.0, 1096.0, 207.0, 375.0, -8.0, 33.0, 94.0, 45.0, 83.0, 253.0, 24.0, 119.0, 118.0, 563.0, 468.0, 233.0, 26.0, 687.0, 1067.0, 46.0, 35.0, 30.0, 83.0, 562.0, 718.0, 426.0, 212.0, 853.0, 452.0, 294.0, 148.0, 123.0, 117.0, 25.0, 30.0, 17.0, 85.0, 7.0, 49.0, 89.0, 972.0, 56.0, 352.0, 185.0, 1113.0, 261.0, 1877.0, 222.0, 692.0, 1112.0, 395.0, 412.0, 395.0, 394.0, 8.0, 183.0, 6.0, 34.0, 19.0, 454.0, 1.0, 6.0, 8.0, 38.0, 4.0, 3.0, 6.0, 4.0, 4.0, 786.0, 1247.0, 1157.0, 1318.0, 1339.0, 1151.0, 1329.0, 46.0, 30.0, 9.0, 30.0, 9.0, 16.0, 1987.0, 151.0, 35.0, 8.0, 1353.0, 480.0, 539.0, 1010.0, 819.0, 1061.0, 371.0, 803.0, 717.0, 916.0, 918.0, 696.0, 998.0, 878.0, 28.0, 95.0, 88.0, 16.0, 93.0, 0.0, 177.0, 1.0, 9.0, 192.0, 5.0, -2.0, 5.0, -1.0, -1.0, 10.0, 2.0, 5.0, 79.0, 98.0, 338.0, 41.0, 46.0, 3.0, 35.0, 42.0, 2.0, 78.0, 54.0, 798.0, 63.0, 1288.0, 1066.0, -53.0, 705.0, 757.0, 903.0, 547.0, 1267.0, 1267.0, 355.0, 401.0, 916.0, 233.0, 6.0, 1151.0, 937.0, 940.0, 23.0, 1.0, 9.0, 9.0, 11.0, 5.0, 4.0, 7.0, -3.0, 5.0, 22.0, 4.0, 27.0, 23.0, 29.0, 10.0, 51.0, 3.0, 8.0, 63.0, 122.0, 67.0, 32.0, 28.0, 714.0, 4.0, 7.0, 604.0, 115.0, 31.0, 938.0, 21.0, 121.0, 314.0, 55.0, 70.0, 186.0, 61.0, 76.0, 154.0, 117.0, 395.0, 255.0, 40.0, 37.0, 5.0, -7.0, 3.0, 45.0, 2.0, 4.0, 6.0, 8.0, 73.0, -3.0, 4.0, 4.0, 11.0, 637.0, 30.0, 28.0, 31.0, 21.0, 23.0, 8.0, 34.0, 32.0, 1007.0, 954.0, 31.0, 31.0, 39.0, 10.0, 137.0, 31.0, 56.0, 110.0, 1.0, 592.0, 401.0, 48.0, 140.0, 171.0, 1414.0, 1455.0, 1707.0, 1707.0, 564.0, 992.0, 342.0, 35.0, 61.0, 9.0, 57.0, 41.0, 1442.0, 699.0, 1064.0, 191.0, 251.0, -11.0, 181.0, 215.0, 302.0, 1.0, 2.0, 1376.0, 2.0, 9.0, 798.0, 335.0, 21.0, 11.0, 1049.0, 1002.0, 21.0, 33.0, 75.0, 152.0, 38.0, 1266.0, 360.0, 1029.0, 1477.0, 901.0, 899.0, 1284.0, 862.0, 1205.0, 905.0, 489.0, 1205.0, 160.0, 98.0, 74.0, -2.0, 44.0, 103.0, 121.0, 443.0, 57.0, 93.0, 179.0, 175.0, 178.0, 828.0, 75.0, 115.0, 1487.0, 393.0, 165.0, 347.0, 197.0, 264.0, 27.0, 905.0, 3.0, 2.0, 33.0, 54.0, 26.0, 196.0, 142.0, 30.0, 690.0, 81.0, 955.0, 49.0, 1210.0, 500.0, 654.0, 1180.0, 1155.0, 1057.0, 407.0, 1225.0, 1169.0, 45.0, 2266.0, 2674.0, 1201.0, 1495.0, 394.0, 9.0, 182.0, 145.0, 53.0, 147.0, 1265.0]

In [11]:

len(multiEle)

Out[11]:

In [12]:

data['altitude'] = multiEle

In [13]:

data

Out[13]:

	plant	longitude	latitude	altitude
0	万方发电厂（焦作爱依斯万方电力有限公司)	113.381649	35.255622	88.0
1	三河发电有限责任公司	116.860260	39.953617	27.0
2	上海上电漕泾发电有限公司	121.407593	30.765242	4.0
3	上海吴泾发电有限责任公司	121.471140	31.065113	3.0
4	上海吴泾第二发电有限责任公司	121.471340	31.062532	4.0
...	...	...	...	...
664	鹤壁丰鹤发电有限责任公司	114.192184	35.850766	182.0
665	鹤壁同力发电有限责任公司	114.191246	35.860822	145.0
666	黄冈大别山发电有限责任公司	114.915181	31.144568	53.0
667	黑龙江华电齐齐哈尔热电有限公司	124.063322	47.387983	147.0
668	黔桂发电有限责任公司	106.630029	26.607537	1265.0

669 rows × 4 columns

In [14]:

data.to_csv('./电厂机组地理信息.csv', encoding='utf-8-sig', index=False)

In [ ]:

17 KiB Raw Blame History Unescape Escape

17 KiB

Raw Blame History