Historic
Historical irradiance, weather and power data, from 2007 to 7 days ago at 1-2km and 5 minutes resolution.
For more information see the API Docs.
The Historic module has 3 methods:
Example
from solcast import historic
res = historic.radiation_and_weather(
latitude=-33.856784,
longitude=151.215297,
start='2022-06-01T06:00',
duration='P1D'
)
res.to_pandas().head()
| period_end |
air_temp |
dni |
ghi |
| 2022-06-01 06:30:00+00:00 |
13 |
441 |
78 |
| 2022-06-01 07:00:00+00:00 |
13 |
62 |
12 |
| 2022-06-01 07:30:00+00:00 |
13 |
0 |
0 |
| 2022-06-01 08:00:00+00:00 |
12 |
0 |
0 |
| 2022-06-01 08:30:00+00:00 |
12 |
0 |
0 |
Example of multi period request for the year of 2023 from Jan 01
The below code is using an unmetered location. If using a metered location, it will consume 12 request.
from solcast import historic
import pandas as pd
from solcast.unmetered_locations import UNMETERED_LOCATIONS
from solcast import historic
site = UNMETERED_LOCATIONS["Stonehenge"]
latitude, longitude = site["latitude"], site["longitude"]
data = []
start_date = '2023-01-01'
start_dates = pd.date_range(start=start_date, periods=12, freq='MS')
for start in start_dates:
start_str = start.strftime('%Y-%m-%dT00:00:00.000Z')
end_date = (start + pd.offsets.MonthEnd(1)).strftime('%Y-%m-%dT23:59:59.000Z')
res = historic.radiation_and_weather(latitude=latitude, longitude=longitude, start=start_str, end=end_date)
if res.success:
data.append(res.to_pandas())
else:
print(res.exception)
output = pd.concat(data)