Darksky循环通过一年的每日数据Datetime错误

Question

我尝试使用forecastiopy循环查看2019年的每日天气数据，但错误不断出现。不知道问题出在哪里

import pandas as pd 
import requests
import json 
from forecastiopy import *
from datetime import date, timedelta, datetime
import datetime

key = 'xxxxx'

city = [40.730610, -73.935242]
start = datetime.datetime(2019, 1, 1)


for day in range(1,365):
    fio = ForecastIO.ForecastIO(key,
                        units=ForecastIO.ForecastIO.UNITS_SI,
                        lang=ForecastIO.ForecastIO.LANG_ENGLISH,
                        latitude=city[0], 
                        longitude=city[1],
                        time=start+datetime.timedelta(day))
    daily = FIODaily.FIODaily(fio)
    print ('Max Temperature', daily.get_day(day)['temperatureMax'])
    print ('Min Temperature:', daily.get_day(day)['temperatureMin'])
    print ('Precipitation Pobability:', daily.get_day(day)['precipProbability'])
    print ('Precipitation Intensity', daily.get_day(day)['precipIntensity'])

下面显示了错误

Answer 1

ForecastIO.ForecastIO(key,
    ...,
    time=start+datetime.timedelta(day))

这里，time参数应该是直接映射到Dark Sky API的字符串：

time

Either be a UNIX time (that is, seconds since midnight GMT on 1 Jan 1970) or a string formatted as follows: [YYYY]-[MM]-[DD]T[HH]:[MM]:[SS][timezone]. [...]

因此，可以使用^{}格式化datetime对象

ForecastIO.ForecastIO(key,
    ...,
    time=(start+datetime.timedelta(day)).isoformat())