纽约市出租车行程 - 每小时天气数据免费

Hourly weather data for the New York City Taxi Trip Duration Challange Here is some detailed weather data for the New York City Taxi Trip Duration Challange. I noticed that many contenders use daily weather data and thought that the ML could be improved with hourly data for NYC (default KNYC station) since pickup_datetime is given. python code on github can return same data for any city Content Wundergrounds API provides hourly weather data in JSON format, but I assume most people just want the complete data set in csv. i stands for imperial, m for metric so the difference stands in the relative unit for the returned value (ex. Fahrenheit vs. Celsius). Note that values will = -9999 or -999 for Null or Non applicable (NA) variables. (replaced with NaN in Version 2) [Wundergrounds full Phrase Glossary][1] - datetime: Date and time of day (EST) - tempm: Temperature in Celcius - tempi: Temperature in Fahrenheit - dewptm: Dewpoint in Celcius - dewpti: Dewpoint in Fahrenheit - hum: Humidity % - wspdm: Wind speed in kph - wspdi: Wind speed in mph - wgustm: Wind gust in kph - wgusti: Wind gust in mph - wdird: Wind direction in degrees - wdire: Wind direction description - vism: Vivibility in Km - visi: Visibility in miles - pressurem: Pressure in mBar - pressurei: Pressure in inHg - windchillm: Wind chill in Celcius - windchilli: Wind chill in Fahrenheit - heatindexm: Heat index Celcius - heatindexi: Heat index Fahrenheit - precipm: Precipitation in mm - precipi: Precipitation in inches - conds: Conditions: [See full list of conditions][2] - icon - fog: Boolean - rain: Boolean - snow: Boolean - hail: Boolean - thunder: Boolean - tornado: Boolean Thanks to Wunderground [1]: https://www.wunderground.com/weather/api/d/docs?d=resources/phrase-glossary&_ga=2.149985459.425490249.1500920794-834212210.1500800604&MR=1 [2]: https://www.wunderground.com/weather/api/d/docs?d=resources/phrase-glossary&_ga=2.149985459.425490249.1500920794-834212210.1500800604&MR=1 [3]: https://github.com/meinertsen/Hourly-Weatherdata