pyspc.io.hydroportail.read_Hydroportail

pyspc.io.hydroportail.read_Hydroportail(filenames=None, datatype=None)[source]

Créer une instance Series à partir d’un fichier Hydroportail.

Paramètres:

  • filename (list) – Nom des fichiers Hydroportail.

  • datatype (str) – Type du fichier Hydroportail.

Renvoie:

  • - samples (pyspc.core.statistics.Samples) – Echantillons si datatype = “hp_sample”.

  • - stats (pyspc.core.statistics.Stats) – Résultats statistiques si datatype = “hp_stat”.

Exemples

>>> import os.path
>>> from pyspc.io.hydroportail import read_Hydroportail
>>> dirname = os.path.join('data', 'metadata', 'hydroportail', 'sample')

CAS AVEC PLUSIEURS FICHIERS D’ECHANTILLONS.

>>> fbas = os.path.join(dirname, 'Q-X_LOI_K0550010_Echantillon.csv')
>>> fvb = os.path.join(dirname, 'Q-X_LOI_K2330810_Echantillon.csv')
>>> fg = os.path.join(dirname, 'QJ-X_LOI_K7433030_Echantillon.csv')
>>> samples = read_Hydroportail(
...     filenames=[fbas, fvb, fg], datatype='hp_sample')
>>> samples
*************************************
********** SAMPLES ******************
*************************************
*  NOM DE LA COLLECTION = Hydroportail
*  TYPE DE COLLECTION   = hp_sample
*  NOMBRE DE SERIES     = 3
*  ----------------------------------
*  SAMPLE #1 : Q-X_LOI_K0550010_Echantillon.csv
*  ----------------------------------
*  SAMPLE #2 : Q-X_LOI_K2330810_Echantillon.csv
*  ----------------------------------
*  SAMPLE #3 : QJ-X_LOI_K7433030_Echantillon.csv
*************************************

>>> for f in [fbas, fvb, fg]:
...     print(samples[os.path.basename(f)])
*************************************
*********** SAMPLE ******************
*************************************
*  NOM VARIABLE SPC     = QI
*  INTITULE VARIABLE    = Débit instantané
*  IDENTIFIANT          = K0550010
*  FOURNISSEUR          = Provider(name='Hydroportail')
*  NOM VARIABLE         = QI
*  TAILLE ECHANTILLON   = 30
*  PREMIERE DATE        = 1994-11-05 17:29:00
*  DERNIERE DATE        = 2024-03-10 08:47:30
*************************************
*************************************
*********** SAMPLE ******************
*************************************
*  NOM VARIABLE SPC     = QI
*  INTITULE VARIABLE    = Débit instantané
*  IDENTIFIANT          = K2330810
*  FOURNISSEUR          = Provider(name='Hydroportail')
*  NOM VARIABLE         = QI
*  TAILLE ECHANTILLON   = 30
*  PREMIERE DATE        = 1994-11-05 17:51:00
*  DERNIERE DATE        = 2024-03-10 08:30:00
*************************************
*************************************
*********** SAMPLE ******************
*************************************
*  NOM VARIABLE SPC     = QJ
*  INTITULE VARIABLE    = Débit moyen journalier
*  IDENTIFIANT          = K7433030
*  FOURNISSEUR          = Provider(name='Hydroportail')
*  NOM VARIABLE         = QJ
*  TAILLE ECHANTILLON   = 47
*  PREMIERE DATE        = 1978-05-01 00:00:00
*  DERNIERE DATE        = 2024-03-30 00:00:00
*************************************

CAS AVEC UN FICHIER DE RESULTAT STATISTIQUE ISSU DE pyspc.webservice.hydroportail # noqa

>>> fbas = os.path.join(self.dirname, 'K0550010_Q-X_result-quantile.csv')
>>> stats = read_Hydroportail(filenames=[fbas], datatype='hp_stat')
>>> stats
*************************************
************ STATS ******************
*************************************
*  NOM DE LA COLLECTION = Hydroportail
*  TYPE DE COLLECTION   = hp_stat
*  NOMBRE DE SERIES     = 1
*  ----------------------------------
*  STAT #1 : K0550010_Q-X_result-quantile.csv
*************************************

>>> stats['K0550010_Q-X_result-quantile.csv']
*************************************
************* STAT ******************
*************************************
*  NOM ECHANTILLON      = K0550010_Q-X_result-quantile.csv
*  NOM VARIABLE SPC     = QI
*  INTITULE VARIABLE    = Débit instantané
*  IDENTIFIANT          = K0550010
*  FOURNISSEUR          = Provider(name='Hydroportail')
*  NOM VARIABLE         = QI
*  TAILLE ECHANTILLON   = None
*  PERIODE ECHANTILLON  = None
*  GRADEX PLUVIOMETRIQUE= None
*  COUVERTURE INCERT.   = None
*  METHODE AJUSTEMENT   = None
*  AJUSTEMENT
    return_period        value    value_low   value_high
0          1.0101     0.000000     0.000000     0.000000
1          1.0204     0.000000     0.000000    19.934164
2          1.0526     0.000000     0.000000   123.463370
3          1.1000     3.982856     0.000000   208.819089
4          1.1111    22.674447     0.000000   227.177851
5          1.2000   138.271488     0.000000   331.550388
6          1.2500   187.726734    17.795779   379.203160
7          1.3000   230.639940    58.123398   420.722736
8          1.4000   303.185126   135.543082   487.451056
9          1.5000   363.696430   198.283620   548.904692
10         1.6000   415.959004   247.031408   603.629598
11         1.7000   462.141551   287.274916   655.861528
12         1.8000   503.620245   324.440653   698.245196
13         1.8182   510.734571   331.111811   704.880204
14         1.9000   541.331536   359.994107   742.109184
15         2.0000   575.945896   392.579075   785.109444
16         2.2222   644.116785   455.016238   859.651592
17         3.0000   823.057191   597.899979  1083.983588
18         4.0000   981.211205   720.242374  1288.644738
19         5.0000  1098.285870   802.562232  1441.756226
20         6.0000  1191.397576   870.734276  1566.030160
21         7.0000  1268.747282   929.515496  1672.440712
22         8.0000  1334.922575   977.489910  1759.503397
23         9.0000  1392.755736  1019.533721  1831.313188
24        10.0000  1444.120383  1056.849569  1897.011231
25        20.0000  1775.853151  1287.805249  2333.124768
26        30.0000  1966.690828  1421.754619  2593.589002
27        40.0000  2101.237288  1522.510344  2775.271107
28        50.0000  2205.247192  1596.553099  2916.902665
29        60.0000  2290.050115  1656.890002  3036.935878
30        70.0000  2361.646277  1705.714550  3133.907485
*************************************