Darksky 循环一年的日常数据 - 日期时间错误

Question

我尝试使用 forecastiopy 遍历 2019 年的每日天气数据，但错误不断出现。不确定是什么问题。

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'])

显示的错误如下。

Answer 1

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

这里，time参数应该是一个直接映射到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，您可以使用 isoformat()

格式化 datetime 对象

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

Darksky 循环一年的日常数据 - 日期时间错误

Darksky Loop through one year of daily data - Datetime Error

python

darksky

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