# 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')
