Open-Weather-Map-Loss-Calculator

Calculator to show the loss between OpenWeatherMap's One Call API and Historical Bulk Data

Three Locations Selected:

1: SF SNOQUALMIE RIVER AB ALICE CREEK NEAR GARCIA, WA

Historical Data Purchased By: Jayden
Lat: 47.4
Long: -121.5

2: JOHN DAY RIVER AT SERVICE CREEK, OR

Historical Data Purchased By: Jayden
Lat: 44.2
Long: -119.6

3: ROGUE RIVER AT DODGE BRIDGE, NEAR EAGLE POINT, OR

Historical Data Purchased By: Jayden
Lat: 42.7
Long: -122.6

One Call API Loader

Input:

Feature: str, lat: str, lon: str, start date: unix epoch: str, number of timesteps: int, time between timesteps: in days: int, api key: str

Output:

Numpy Array correlating with the feature

Tutorial:

To use the loader include the following:

#Import loader
import one_call_api_loader.py as ocal

#Example Call
data = ocal.load_data('temp','47.4','-121.4','1643803200',10,1,{api_key})

Historical Bulk Data Loader

Input:

Feature: str, lat: str, lon: str, start date: unix epoch: str, number of timesteps: int, time between timesteps: in days: int

Output:

Numpy Array correlating with the feature

Loss Calculator

Input:

Feature, start date, number of timesteps, time between timesteps

Output:

Mean Absolute Error between the two APIs at all three locations