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sensitivity.py
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/
sensitivity.py
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# -*- coding: utf-8 -*-
"""
Created on Thu Jul 16 11:09:58 2020
@author: YingliLou
"""
import numpy as np
import csv
climate = ['1A','2A','2B','3A','3B','3C','4A','4B','4C','5A','5B','6A','6B','7A','8A']
sensitivity=['fa','mo','SA_GAM_','SA_LIN_REG_','SA_RP_REG_','SA_RS_REG_','so']
num_var=11
sensitivity_results=[]
for i in range (len(climate)): #len(climate)
results1=[]
results2=[]
for j in range (len(sensitivity)): #len(sensitivity)
data_set_temp = np.genfromtxt('./results/sensitive/sensitivity_'+sensitivity[j]+'.csv',dtype=str,delimiter=',')
var=[None]*num_var
temp=[]
for row in data_set_temp:
if row[0] == climate[i]:
temp.append(row[3])
sensitive_value=1
temp=np.array(temp)
temp=np.argsort(temp)
value=1
for k in range(num_var):
var[temp[k]]=value
value +=1
results1.append(var)
for j in range (num_var):
temp=0
for k in range(len(sensitivity)):
temp += float(results1[k][j])
temp=temp/len(sensitivity)
results2.append(temp)
sensitivity_results.append(results2)
sensitivity_results=tuple(zip(*sensitivity_results))
with open('./sensitivity_results.csv', 'wb') as csvfile:
for row in sensitivity_results:
data = csv.writer(csvfile, delimiter=',')
data.writerow(row)