问题描述
下面是我的代码,我在locations变量中使用了long和lat坐标,并通过coordinates_str将其附加到URL。因为我有一个 CSV 文件,其中包含许多位置的纬度和经度坐标,然后将该 CSV 文件作为该 API 的输入(需要身份验证)。 如何在此代码中输入 CSV 文件而不是位置变量?
import requests
import pprint
locations = [(13.84,-12.57),(12.21,-14.69)]
coordinates_str = ','.join(map(lambda a: ' '.join(f'{f:.3f}' for f in a),locations))
# Replace "poi-settings" with the endpoint you would like to call.
URL = f'https://ubiconnect-eu.ubimet.com:8090/pinpoint-data?coordinates={coordinates_str}'
TOKEN = 'TOKEN KEY'
# Create session object that can be used for all requests.
session = requests.Session()
session.headers['Authorization'] = 'Token {token}'.format(token=TOKEN)
# Send GET request to UBIconnect.
res = session.get(URL)
res.raise_for_status()
# Decode JSON response.
poi_info = res.json()
pprint.pprint(poi_info,indent=2,compact=True)
然后我尝试了这种方式:代替坐标_str,我这样做了
import requests
import pprint
import pandas as pd
df = pd.read_csv(r'E:\route_points.csv')
print(df)
# Replace "poi-settings" with the endpoint you would like to call.
URL = f'https://ubiconnect-eu.ubimet.com:8090/pinpoint-data?'
TOKEN = 'API TOKEN'
params= {'coordinates':(df)}
# Create session object that can be used for all requests.
session = requests.Session()
session.headers['Authorization'] = 'Token {token}'.format(token=TOKEN)
# Send GET request to UBIconnect.
res = session.get(URL,params= params)
res.raise_for_status()
# Decode JSON response.
poi_info = res.json()
pprint.pprint(poi_info,compact=True)
还是不行。
从文档中调用 API 所需的格式为:
# Replace "poi-settings" with the endpoint you would like to call.
URL = 'https://ubiconnect-eu.ubimet.com:8090/poi-settings'
TOKEN = '<YOUR TOKEN GOES HERE>'
所以我用 pinpoint-data 替换了 poi-settings
URL = 'https://ubiconnect-eu.ubimet.com:8090/pinpoint-data?coordinates=longitude<space<latitude'
例如:我将一组坐标放入 API URL
URL = 'https://ubiconnect-eu.ubimet.com:8090/pinpoint-data?coordinates=132.85 12.84'
解决方法
如果您只想从 CSV 文件一次提交一个坐标块,那么类似以下内容就足够了:
from itertools import islice
import requests
import pprint
import csv
def grouper(n,iterable):
it = iter(iterable)
return iter(lambda: tuple(islice(it,n)),())
block_size = 10 # how many pairs to submit per request
TOKEN = 'TOKEN KEY'
# Create session object that can be used for all requests.
session = requests.Session()
session.headers['Authorization'] = 'Token {token}'.format(token=TOKEN)
with open('coordinates.csv',newline='') as f_input:
csv_input = csv.reader(f_input)
header = next(csv_input) # skip the header
for coords in grouper(block_size,csv_input):
coordinates = ','.join(f'{float(long):.3f} {float(lat):.3f}' for long,lat in coords)
print(coordinates)
URL = f'https://ubiconnect-eu.ubimet.com:8090/pinpoint-data?coordinates={coordinates}'
# Send GET request to UBIconnect.
res = session.get(URL)
res.raise_for_status()
# Decode JSON response.
poi_info = res.json()
pprint.pprint(poi_info,indent=2,compact=True)
(显然这没有经过测试 - 没有令牌)。确保您的 CSV 文件中没有空行。
要输出到文件,请添加输出文件:
with open('coordinates.csv',newline='') as f_input,open('output.json','w',encoding='utf-8') as f_output:
并在 pprint()
调用中使用它:
pprint.pprint(poi_info,f_output,compact=True)
f_output.write('\n') # add blank line if needed
,
希望这就是你要找的
import csv
locations = list()
with open("foo.csv") as csvf:
csvreader = csv.DictReader(csvf)
for row in csvreader:
locations.append((float(row["lat"]),float(row["long"])))
# now add your code
coordinates_str = ','.join(map(lambda a: ' '.join(f'{f:.3f}' for f in a),locations))