# the regex, and variables matching the regex. s1.get(u'c1.C') # filter options ############################################################## # based on identity s3 = s1.filter_similar('SID0002') # returns a new simdex with all simulations that have the same set of # parameters (even if they have different values) # based on parametervalues fltr = {'c1.C':800} s4 = s1.filter(fltr) # add a paramter to the filter fltr2 = {'newParameter' : ''} s4 = s1.filter(fltr2) # plotting print s1.vardic s3.plot('c1_T') s3.scatterplot('c1_T', 'c2_T') # saving a specific simdex s2 = s1.filter(fltr) s2.save('simdex2') s = load_simdex('simdex2') s.plot('c1_T')
s1.exist('c2') # returns a list with 2 lists by default: parameters matching # the regex, and variables matching the regex. s1.get(u'c1.C') # filter options ############################################################## # based on identity s3 = s1.filter_similar('SID0002') # returns a new simdex with all simulations that have the same set of # parameters (even if they have different values) # based on parametervalues fltr = {'c1.C': 800} s4 = s1.filter(fltr) # add a paramter to the filter fltr2 = {'newParameter': ''} s4 = s1.filter(fltr2) # plotting print s1.vardic s3.plot('c1_T') s3.scatterplot('c1_T', 'c2_T') # saving a specific simdex s2 = s1.filter(fltr) s2.save('simdex2') s = load_simdex('simdex2') s.plot('c1_T')