pyspc.model.oudin.daily2hourly

pyspc.model.oudin.daily2hourly(data_ej=None)[source]

Ventilation de l’ETP journalière au pas de temps horaire.

Paramètres:: data_ej (pnd.DataFrame) – Dataframe des données ETP journalières
Renvoie:: data_eh – Dataframe des données ETP horaires
Type renvoyé:: pnd.DataFrame

Exemples

>>> import pyspc.model.oudin as _oudin
>>> data_ej = pnd.DataFrame({
...     'Kxxx_EJ': [0.9, 0.520, 0.376]} ,
...     index=pnd.date_range(
...         dt(2014, 11, 3),
...         dt(2014, 11, 5),
...         freq='D'
...     )
... )
>>> data_ej
            Kxxx_EJ
2014-11-03    0.900
2014-11-04    0.520
2014-11-05    0.376
>>> data_eh = _oudin.daily2hourly(data_ej)
>>> data_eh
                      Kxxx_EJ
2014-11-03 00:00:00  0.000000
2014-11-03 01:00:00  0.000000
2014-11-03 02:00:00  0.000000
2014-11-03 03:00:00  0.000000
2014-11-03 04:00:00  0.000000
2014-11-03 05:00:00  0.000000
2014-11-03 06:00:00  0.000000
2014-11-03 07:00:00  0.031500
2014-11-03 08:00:00  0.055800
2014-11-03 09:00:00  0.071100
2014-11-03 10:00:00  0.087300
2014-11-03 11:00:00  0.099000
2014-11-03 12:00:00  0.105300
...                       ...
2014-11-05 12:00:00  0.043992
2014-11-05 13:00:00  0.043992
2014-11-05 14:00:00  0.041360
2014-11-05 15:00:00  0.036472
2014-11-05 16:00:00  0.029704
2014-11-05 17:00:00  0.023312
2014-11-05 18:00:00  0.013160
2014-11-05 19:00:00  0.000000
2014-11-05 20:00:00  0.000000
2014-11-05 21:00:00  0.000000
2014-11-05 22:00:00  0.000000
2014-11-05 23:00:00  0.000000

Notes

Voir le site internet du projet [1], et les publications de L. Oudin [2] et [3].