# -*- coding: utf-8 -*- """ Created on Tue Mar 24 19:02:20 2020 @author: z5025317 """ #load existing tgr time series boundary, raise by 1m and output a new tgr file #==========================================================# #Load packages #==========================================================# import numpy as np import os import pandas as pd import glob os.chdir('C:/Users/z5025317/UNSW/Danial Khojasteh - HEMIP/RMA_result_explorer_code') year = '2017' Ocean_gauges_folder = 'J:/Project/wrl2018064 Fisheries RAP/04_Working/05_Modelling/RMA/HEMIP/Global_HEMIP_Data/MHL_Gauge_Data/20200409_Recieved/Open_ocean/' filenames = glob.glob(Ocean_gauges_folder + '*.csv') filenames = filenames[,[0,1,3]] timestep = 0 for tgr_csv_name in filenames: print (tgr_csv_name) tgr_csv_name = filenames[3] tgr_outname = Ocean_gauges_folder + os.path.basename(tgr_csv_name)[:-4] + '_2' + year Full_df = pd.read_csv(tgr_csv_name ,header= 0, skiprows= 30, parse_dates = True) Full_df.index = pd.to_datetime(Full_df.Date, format = '%d/%m/%Y') + pd.to_timedelta(Full_df.Time, unit='h') Full_df = Full_df.iloc[:,[-2]] Full_df.columns = ['WL[AHD]'] 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')] # str(df['2'][1500].astype(int)) # RMA2: create input file fq = open( os.path.join(Ocean_gauges_folder, tgr_outname + '.tgr'), 'w') fq.write('TT MHL tide for ' + os.path.basename(tgr_csv_name)+ ' ' + year + '\n') fq.write('{:<5}{:>3}{:>8}{:>8}\n'.format('CL', '', '2', year)) #fq.write('{:<5}{:>3}{:>8}{:>8}\n'.format('CL', '', int(df['3'][0]), int(df['4'][0]))) for i in range(1,len(Full_df),1): # For each new element 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)))) fq.write('ENDDATA') fq.close()