Maesters-of-Clim tempt to help retriving climate data (climate index, reanalysis) from the main-stream climate insitution (like IRI, PSL, NCEI, RDA).
Project description
Maesters-of-Clim
Maesters-of-Clim tempt to help retriving climate data (climate index, reanalysis) from the main-stream climate insitution (like IRI, PSL, NCEI, RDA).
Usage
from maesters_of_clim import Climate_Maester
from datetime import datetime
# retrive history climate index from nina
c = Climate_Maester(
indexes=['nina34a', 'pdo', 'soi'],
source='psl'
)
df = c.history()
# retrive half-year ENSO forecast probability
c = Climate_Maester(
indexes='enso',
source='iri'
)
iridf = c.forecast(pred_at=datetime(2022, 10, 1))
c = Climate_Maester(
indexes='enso',
source='cpc'
)
cpcdf = c.forecast(pred_at=datetime(2022, 10, 1))
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
maesters-clim-0.0.1.tar.gz
(270.1 kB
view hashes)
Built Distribution
Close
Hashes for maesters_clim-0.0.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7fea60b734842240e46c0c853ac8888cbf3e5565666e1d7a1193e5d39194dc4a |
|
MD5 | 915fdaa52bb6b9abb856fe030c75ba33 |
|
BLAKE2b-256 | 5936af008c095be0f9f63685700142b422f0198b18664150efd831675e82aee7 |