agrometeo-geopy 0.1.3

Pythonic interface to access Agrometeo data.

agrometeo-geopy

Pythonic interface to access agrometeo.ch data.

Installation

The agrometeo-geopy library requires geopandas, which can be installed using conda/mamba as in:

conda install -c conda-forge geopandas

Then, agrometeo-geopy can be installed using pip:

pip install agrometeo-geopy

Overview

import agrometeo as agm

start_date = "2021-08-13"
end_date = "2021-08-16"

agm_ds = agm.AgrometeoDataset(region="Canton de Genève")
ts_df = agm_ds.get_ts_df(start_date=start_date, end_date=end_date)
ts_df

name	DARDAGNY	LA-PLAINE	SATIGNY	PEISSY	ANIERES	LULLY	LULLIER	BERNEX	TROINEX	MEINIER
time
2021-08-13 00:00:00	19.3	17.8	18.5	17.9	20.6	18.4	20.3	18.6	19.4	25.8
2021-08-13 00:10:00	19.6	17.9	18.4	17.7	20.0	18.3	19.6	18.7	19.1	28.6
2021-08-13 00:20:00	19.0	17.7	18.2	17.6	19.4	18.4	19.1	18.7	19.2	24.1
2021-08-13 00:30:00	18.3	18.0	18.1	17.4	19.1	18.3	19.1	18.6	18.9	22.5
2021-08-13 00:40:00	18.7	18.0	18.1	17.6	19.1	18.0	19.0	18.7	18.5	21.5
...	...	...	...	...	...	...	...	...	...	...
2021-08-16 23:10:00	17.5	17.8	17.3	16.9	17.9	17.6	17.3	17.2	17.9	22.2
2021-08-16 23:20:00	17.4	17.9	17.4	17.1	17.9	17.6	17.3	17.2	18.0	22.0
2021-08-16 23:30:00	17.2	17.9	17.5	17.3	17.8	17.6	17.3	17.3	18.0	21.7
2021-08-16 23:40:00	17.2	17.9	17.7	17.1	17.7	17.4	17.2	17.1	18.1	21.9
2021-08-16 23:50:00	17.1	17.8	17.5	17.1	17.7	17.3	17.1	17.1	18.1	22.0

576 rows × 10 columns

See the user guide for more details.

Acknowledgements

• This package was created with Cookiecutter and the zillionare/cookiecutter-pypackage project template.