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51 lines
2.1 KiB
Python
51 lines
2.1 KiB
Python
5 years ago
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# -*- coding: utf-8 -*-
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"""
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Created on Tue Mar 24 19:02:20 2020
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@author: z5025317
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"""
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#creates a tide boundary time series in RMA format based on MHL tide data as provided for the RAP
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#==========================================================#
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#Load packages
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#==========================================================#
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import numpy as np
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import os
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import pandas as pd
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import glob
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os.chdir('C:/Users/z5025317/UNSW/Danial Khojasteh - HEMIP/RMA_result_explorer_code')
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year = '2015'
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Ocean_gauges_folder = 'J:/Project/wrl2018064 Fisheries RAP/04_Working/05_Modelling/RMA/HEMIP/Global_HEMIP_Data/MHL_Gauge_Data/20200409_Recieved/Open_ocean/'
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filenames = glob.glob(Ocean_gauges_folder + '*.csv')
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filenames = [filenames[0],filenames[1], filenames[3]]
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timestep = 0
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for tgr_csv_name in filenames:
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print (tgr_csv_name)
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tgr_csv_name = filenames[2]
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tgr_outname = Ocean_gauges_folder + os.path.basename(tgr_csv_name)[:-4] + '_2' + year
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Full_df = pd.read_csv(tgr_csv_name ,header= 0, skiprows= 30, parse_dates = True)
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Full_df.index = pd.to_datetime(Full_df.Date, format = '%d/%m/%Y') + pd.to_timedelta(Full_df.Time, unit='h')
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Full_df = Full_df.iloc[:,[-2]]
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Full_df.columns = ['WL[AHD]']
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Full_df = Full_df.loc[(Full_df.index >= year + '-01-01 00:00:00') & (Full_df.index <= str(np.int(year)+1) + '-01-01 00:00:00')]
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# str(df['2'][1500].astype(int))
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# RMA2: create input file
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fq = open(
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os.path.join(Ocean_gauges_folder, tgr_outname + '.tgr'),
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'w')
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fq.write('TT MHL tide for ' + os.path.basename(tgr_csv_name)+ ' ' + year + '\n')
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fq.write('{:<5}{:>3}{:>8}{:>8}\n'.format('CL', '', '2', year))
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#fq.write('{:<5}{:>3}{:>8}{:>8}\n'.format('CL', '', int(df['3'][0]), int(df['4'][0])))
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for i in range(1,len(Full_df),1):
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# For each new element
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fq.write('{:<5}{:>3}{:>8}{:>8}\n'.format('HD', str(np.int(Full_df.index[i-1].strftime('%j'))), str(np.round((np.float(Full_df.index[i-1].strftime('%M'))+ np.float(Full_df.index[i-1].strftime('%H'))*60) /60,2)), str(np.round(np.float(Full_df['WL[AHD]'][i-1]),3))))
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fq.write('ENDDATA')
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fq.close()
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