import numpy as np from numpy import nan, inf add_legend_handle = [ 'Data', 'Analysis_CSS_FragNone_UENone.yoda.gz', 'Analysis_Alaric_FragNone_UENone.yoda.gz' ] xpoints = { 'Data' : [2.500000e-02, 7.500000e-02, 1.250000e-01, 1.750000e-01, 2.250000e-01, 2.750000e-01, 3.250000e-01, 3.750000e-01, 4.250000e-01, 4.750000e-01], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [2.500000e-02, 7.500000e-02, 1.250000e-01, 1.750000e-01, 2.250000e-01, 2.750000e-01, 3.250000e-01, 3.750000e-01, 4.250000e-01, 4.750000e-01], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [2.500000e-02, 7.500000e-02, 1.250000e-01, 1.750000e-01, 2.250000e-01, 2.750000e-01, 3.250000e-01, 3.750000e-01, 4.250000e-01, 4.750000e-01], } xedges = { 'Data' : [0.000000e+00, 5.000000e-02, 1.000000e-01, 1.500000e-01, 2.000000e-01, 2.500000e-01, 3.000000e-01, 3.500000e-01, 4.000000e-01, 4.500000e-01, 5.000000e-01], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [0.000000e+00, 5.000000e-02, 1.000000e-01, 1.500000e-01, 2.000000e-01, 2.500000e-01, 3.000000e-01, 3.500000e-01, 4.000000e-01, 4.500000e-01, 5.000000e-01], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [0.000000e+00, 5.000000e-02, 1.000000e-01, 1.500000e-01, 2.000000e-01, 2.500000e-01, 3.000000e-01, 3.500000e-01, 4.000000e-01, 4.500000e-01, 5.000000e-01], } ref_xerrs = [ [abs(xpoints['Data'][i] - xedges['Data'][i]) for i in range(len(xpoints['Data']))], [abs(xedges['Data'][i+1] - xpoints['Data'][i]) for i in range(len(xpoints['Data']))] ] yvals = { 'Data' : [5.903870e+00, 4.053760e+00, 2.534980e+00, 1.653100e+00, 1.415180e+00, 1.215430e+00, 9.555480e-01, 7.839250e-01, 7.107900e-01, 7.734190e-01], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [4.074056e+00, 4.881373e+00, 2.804057e+00, 4.056958e-01, 2.333490e+00, 1.704377e+00, 1.642262e+00, 9.244876e-01, 6.034745e-01, 6.267272e-01], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [5.793701e+00, 1.711879e+00, 2.610626e+00, 1.538836e+00, 1.520737e+00, 1.653054e+00, 1.896205e+00, 2.510988e-01, 1.366502e+00, 1.657361e+00], } xerrs = { 'Data' : [ [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], ], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [ [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], ], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [ [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], [2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02, 2.500000e-02], ], } yerrs = { 'Data' : [ [1.928257e+00, 2.452435e+00, 1.635533e-01, 1.450684e-01, 2.035646e-01, 2.005178e-01, 1.695719e-01, 1.527694e-01, 1.868835e-01, 3.005722e-01], [1.928257e+00, 2.452435e+00, 1.635533e-01, 1.450684e-01, 2.035646e-01, 2.005178e-01, 1.695719e-01, 1.527694e-01, 1.868835e-01, 3.005722e-01], ], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [ [1.336649e+00, 1.554544e+00, 1.121655e+00, 5.221130e-01, 9.035762e-01, 7.379117e-01, 6.209133e-01, 4.852205e-01, 6.240018e-01, 5.330046e-01], [1.336649e+00, 1.554544e+00, 1.121655e+00, 5.221130e-01, 9.035762e-01, 7.379117e-01, 6.209133e-01, 4.852205e-01, 6.240018e-01, 5.330046e-01], ], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [ [1.385620e+00, 1.304322e+00, 1.387898e+00, 1.018979e+00, 7.837456e-01, 7.617866e-01, 5.554981e-01, 5.698166e-01, 6.838237e-01, 8.383555e-01], [1.385620e+00, 1.304322e+00, 1.387898e+00, 1.018979e+00, 7.837456e-01, 7.617866e-01, 5.554981e-01, 5.698166e-01, 6.838237e-01, 8.383555e-01], ], } variation_yvals = { } # lists for ratio plot ratio0_yvals = { 'Data' : [1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00, 1.000000e+00], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [6.900653e-01, 1.204159e+00, 1.106146e+00, 2.454152e-01, 1.648900e+00, 1.402283e+00, 1.718660e+00, 1.179306e+00, 8.490194e-01, 8.103333e-01], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [9.813395e-01, 4.222941e-01, 1.029841e+00, 9.308790e-01, 1.074589e+00, 1.360057e+00, 1.984416e+00, 3.203097e-01, 1.922512e+00, 2.142902e+00], } ratio0_yerrs = { 'Data' : [ [3.266090e-01, 6.049778e-01, 6.451858e-02, 8.775537e-02, 1.438436e-01, 1.649768e-01, 1.774604e-01, 1.948776e-01, 2.629236e-01, 3.886279e-01], [3.266090e-01, 6.049778e-01, 6.451858e-02, 8.775537e-02, 1.438436e-01, 1.649768e-01, 1.774604e-01, 1.948776e-01, 2.629236e-01, 3.886279e-01], ], 'Analysis_CSS_FragNone_UENone.yoda.gz' : [ [2.264022e-01, 3.834820e-01, 4.424709e-01, 3.158387e-01, 6.384885e-01, 6.071199e-01, 6.497981e-01, 6.189629e-01, 8.778990e-01, 6.891537e-01], [2.264022e-01, 3.834820e-01, 4.424709e-01, 3.158387e-01, 6.384885e-01, 6.071199e-01, 6.497981e-01, 6.189629e-01, 8.778990e-01, 6.891537e-01], ], 'Analysis_Alaric_FragNone_UENone.yoda.gz' : [ [2.346969e-01, 3.217561e-01, 5.474986e-01, 6.164049e-01, 5.538134e-01, 6.267630e-01, 5.813398e-01, 7.268764e-01, 9.620615e-01, 1.083960e+00], [2.346969e-01, 3.217561e-01, 5.474986e-01, 6.164049e-01, 5.538134e-01, 6.267630e-01, 5.813398e-01, 7.268764e-01, 9.620615e-01, 1.083960e+00], ], } ratio0_variation_vals = { } ratio_band_edges = { }