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116 lines
3.3 KiB
Python
116 lines
3.3 KiB
Python
7 years ago
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# -*- coding: utf-8 -*-
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"""
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Created on Wed Jun 20 18:03:25 2018
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@author: z5025317
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"""
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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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import matplotlib
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import matplotlib.pyplot as plt
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from datetime import datetime
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from datetime import timedelta
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from matplotlib.backends.backend_pdf import PdfPages
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from ggplot import *
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matplotlib.style.use('ggplot')
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import csv
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from datetime import datetime
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# import own modules
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# Set working direcotry (where postprocessed NARClIM data is located)
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os.chdir('C:/Users/z5025317/OneDrive - UNSW/WRL_Postdoc_Manual_Backup/WRL_Postdoc/Projects/Paper#1/Analysis/Code')
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import climdata_fcts as fct
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import silo as sil
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#==========================================================#
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# Set working direcotry (where postprocessed NARClIM data is located)
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os.chdir('C:/Users/z5025317/OneDrive - UNSW/WRL_Postdoc_Manual_Backup/WRL_Postdoc/Projects/Paper#1/')
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#==========================================================#
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#==========================================================#
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#set input parameters
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Case_Study_Name = 'CASESTUDY2'
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Casestudy2_csv_path = "Data/NARCLIM_Site_CSVs/CASESTUDY2/CASESTDUY2_NARCLIM_Point_Sites.csv"
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Silo_variables = ['daily_rain', "max_temp", "min_temp", 'et_short_crop']
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#==========================================================#
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#==========================================================#
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#set directory path for output files
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output_directory = 'Data/SILO/' + Case_Study_Name + '/'
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#output_directory = 'J:/Project wrl2016032/NARCLIM_Raw_Data/Extracted'
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if not os.path.exists(output_directory):
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os.makedirs(output_directory)
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print('-------------------------------------------')
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print("output directory folder didn't exist and was generated")
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print('-------------------------------------------')
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#==========================================================#
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#read the CSV to extract the lat long and case stuy sites
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with open(Casestudy2_csv_path, mode='r') as infile:
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reader = csv.reader(infile)
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next(reader, None)
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with open('coors_new.csv', mode='w') as outfile:
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writer = csv.writer(outfile)
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mydict = dict((rows[0],[rows[1],rows[2]]) for rows in reader)
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for Estuary in mydict:
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print Estuary
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print str(mydict[Estuary][0])
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#==========================================================#
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#set directory path for output files
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output_directory_internal = output_directory + Estuary + '/'
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#output_directory = 'J:/Project wrl2016032/NARCLIM_Raw_Data/Extracted'
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if not os.path.exists(output_directory_internal):
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os.makedirs(output_directory_internal)
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print('-------------------------------------------')
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print("output directory folder didn't exist and was generated")
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print('-------------------------------------------')
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#==========================================================#
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output_csv = output_directory_internal + 'SILO_climdata_' + Estuary +'_' + mydict[Estuary][0] + '_' + mydict[Estuary][1] + '.csv'
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silo_df = sil.pointdata(Silo_variables, 'Okl9EDxgS2uzjLWtVNIBM5YqwvVcCxOmpd3nCzJh','19900101','20100101',
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None, mydict[Estuary][0], mydict[Estuary][1], True, output_csv)
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