Code source de pyspc.model.grp18.cal_event

#!/usr/bin/python3
# -*- coding: utf-8 -*-
########################################################################
#
# This file is part of python module <pyspc>.
# Copyright (C) 2013-2021  R. Marty
#   (renaud.marty@developpement-durable.gouv.fr)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
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# GNU General Public License for more details.
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"""
Modélisations hydrologiques - GRP version 2018 - Evenement
"""
from datetime import datetime as dt
from functools import partial
import numpy as np
import os.path
import pandas as pnd

import pyspc.core.exception as _exception
from pyspc.core.timeutil import dtfmt, dtheader, lenstr2dtfmt


def date_parser(fmt, txt):
    """"Convertisseur de date"""
    return dt.strptime(txt, fmt)


[docs] class GRP_Event(): """ Structure du fichier Evenement de GRP *Calage* Attributes ---------- filename : str Nom du fichier Evenement de GRP *Calage* station : str Nom de la station event : str Identifiant de l'événement """
[docs] def __init__(self, filename=None): """ Initialisation de l'instance de la classe GRP_Event Parameters ---------- filename : str Nom du fichier Bassin de GRP *Calage* """ super().__init__() self.filename = filename self.station, self.event = self.split_basename(self.filename)
def __str__(self): """ Afficher les méta-données de l'instance GRP_Event """ text = """ ************************************* *********** GRP 2018 - Event ******** ************************************* * NOM FICHIER = {filename} * CODE STATION = {station} * CODE EVENEMENT = {event} ************************************* """ return text.format(**vars(self))
[docs] def read(self): """ Lecture du fichier Evenement de GRP *Calage* Returns ------- pandas.DataFrame Tableau des données Evenement de GRP 2018 Examples -------- >>> from pyspc.model.grp18 import GRP_Event Cas de données horaires >>> f = 'data/model/grp18/cal/RH10585x-EVhor1.DAT' >>> reader = GRP_Event(filename=f) >>> df = reader.read() >>> df Date Pluie(mm/h) Debit(m3/s) 0 2007-01-18 18:00:00 8.48 3.537 1 2007-01-18 19:00:00 3.72 5.150 2 2007-01-18 20:00:00 7.60 7.864 3 2007-01-18 21:00:00 6.32 10.192 4 2007-01-18 22:00:00 9.44 12.464 5 2007-01-18 23:00:00 6.64 14.695 6 2007-01-19 00:00:00 7.88 16.625 7 2007-01-19 01:00:00 8.44 18.250 8 2007-01-19 02:00:00 5.32 19.710 9 2007-01-19 03:00:00 6.64 20.432 10 2007-01-19 04:00:00 5.96 21.912 11 2007-01-19 05:00:00 6.72 23.425 12 2007-01-19 06:00:00 7.24 23.550 13 2007-01-19 07:00:00 7.44 24.913 14 2007-01-19 08:00:00 6.60 29.306 15 2007-01-19 09:00:00 6.48 33.850 16 2007-01-19 10:00:00 5.36 36.100 17 2007-01-19 11:00:00 2.96 36.367 18 2007-01-19 12:00:00 1.32 34.750 19 2007-01-19 13:00:00 1.08 30.500 20 2007-01-19 14:00:00 0.48 26.928 21 2007-01-19 15:00:00 1.60 24.993 22 2007-01-19 16:00:00 1.00 23.685 23 2007-01-19 17:00:00 0.72 22.642 24 2007-01-19 18:00:00 0.80 21.467 Cas de données journalières >>> f = 'data/model/grp18/cal/RH10585x-EVhor1.DAT' >>> reader = GRP_Event(filename=f) >>> df = reader.read() >>> df Date Pluie(mm/h) Debit(m3/s) 0 2007-01-14 1.60 NaN 1 2007-01-15 6.88 3.568 2 2007-01-16 0.00 2.922 3 2007-01-17 0.40 NaN 4 2007-01-18 7.84 2.183 5 2007-01-19 70.08 4.886 6 2007-01-20 82.96 24.449 7 2007-01-21 10.48 11.924 8 2007-01-22 9.00 8.095 9 2007-01-23 2.04 5.140 10 2007-01-24 1.12 3.819 11 2007-01-25 2.96 2.969 12 2007-01-26 0.04 2.272 """ with open(self.filename, 'r', encoding='utf-8') as f: f.readline() txt = f.readline().split(' ')[0] fmt = lenstr2dtfmt(txt) n = len(txt) return pnd.read_fwf( self.filename, colspecs=[(0, n), (n+1, n+13), (n+14, n+26)], converters={'Date': partial(date_parser, fmt)}, na_values=[-99.9] )
[docs] def write(self, data=None, tdelta=None): """ Ecriture du fichier Evenement de GRP *Calage* """ _exception.check_td(tdelta) data['Debit(m3/s)'] = data['Debit(m3/s)'].map( lambda x: f'{x:12.4f}' if not np.isnan(x) else ' -99.9000') data['Pluie(mm/h)'] = data['Pluie(mm/h)'].map( lambda x: f'{x:12.4f}' if not np.isnan(x) else ' -99.9000') header_dt = ' ' * (len(dtheader(tdelta)) - 4) + 'Date' data[header_dt] = data['Date'].map(lambda x: x.strftime(dtfmt(tdelta))) data = data.drop(columns='Date') data = data.reindex(columns=[header_dt, 'Pluie(mm/h)', 'Debit(m3/s)']) with open(self.filename, 'w', encoding='utf-8', newline='\r\n') as f: x = '\n'.join([y.rstrip() for y in data.to_string( header=True, index=False).split('\n')]) f.write(x) f.write('\n')
[docs] @staticmethod def split_basename(filename=None): """ Extraire les informations depuis le nom du fichier Evenement de GRP *Calage* Parameters ---------- filename : str Fichier Evenement de GRP *Calage* Returns ------- station : str Identifiant de la station event : str Identifiant de l'événement Examples -------- >>> from pyspc.model.grp18 import GRP_Event >>> f = 'data/model/grp18/cal/RH10585x-EVhor1.DAT' >>> [station, event] = GRP_Event.split_basename(filename=f) >>> station RH10585x >>> event EVhor1 """ if filename is None: return None, None basename = os.path.splitext(os.path.basename(filename))[0] try: [station, event] = basename.split('-') except ValueError as ve: raise ValueError("Le nom de fichier ne respecte pas le " "nommage de GRP") from ve return station, event