23 good fits for HistFactory df[['statusesHF','statusesHistpdf','dif_HFHistpdf','nsig_valuesHistpdf','nsig_errorHistpdf','nsig_valuesHF','nsig_errorHF']].query('statusesHF ==0') statusesHF statusesHistpdf dif_HFHistpdf nsig_valuesHistpdf nsig_errorHistpdf nsig_valuesHF nsig_errorHF 0 0.0 0.0 True 1.757107 2.570689 1.757107 2.570695 4 0.0 0.0 True 0.344793 3.083628 0.344793 3.083647 8 0.0 0.0 True 6.593669 4.023839 6.593669 4.023853 10 0.0 0.0 True 0.809947 2.304037 0.809947 2.304044 12 0.0 0.0 True 2.203837 2.961148 2.203837 2.961158 14 0.0 0.0 True -0.382131 1.748662 -0.382132 1.748669 15 0.0 0.0 True 2.567395 2.859171 2.567396 2.859178 17 0.0 0.0 True 3.040949 2.766050 3.040949 2.766055 18 0.0 0.0 True 2.393007 3.236433 2.393008 3.236446 21 0.0 0.0 True 0.803608 2.709493 0.803608 2.709503 24 0.0 0.0 True 2.664936 3.262400 2.664936 3.262412 27 0.0 0.0 True 6.012242 3.574000 6.012242 3.574009 30 0.0 0.0 True 0.627594 2.340685 0.627593 2.340693 34 0.0 0.0 True 1.001121 2.268270 1.001120 2.268276 35 0.0 0.0 True 7.303870 4.027917 7.303870 4.027928 38 0.0 0.0 True 0.431487 2.710161 0.431487 2.710173 39 0.0 0.0 True 1.870534 2.420407 1.870534 2.420412 40 0.0 0.0 True 0.645192 2.300003 0.645192 2.300010 41 0.0 0.0 True 0.930174 2.322863 0.930174 2.322869 43 0.0 0.0 True 3.013067 3.852847 3.013067 3.852868 45 0.0 0.0 True -0.607969 1.494378 -0.607970 1.494384 48 0.0 0.0 True 3.726959 3.494118 3.726959 3.494130 49 0.0 0.0 True 0.919119 2.299157 0.919119 2.299163 27 fits with statuses diff of 0 in HistFactory df[['statusesHF','statusesHistpdf','dif_HFHistpdf','nsig_valuesHistpdf','nsig_errorHistpdf','nsig_valuesHF','nsig_errorHF']].query('statusesHF !=0') statusesHF statusesHistpdf dif_HFHistpdf nsig_valuesHistpdf nsig_errorHistpdf nsig_valuesHF nsig_errorHF 1 144.0 0.0 False -2.518002 1.753191 -1.996429 0.003575 2 70.0 0.0 False -1.444237 1.802127 -1.451492 1.800490 3 140.0 0.0 False -49.999983 2.732628 -1.843831 11.627565 5 70.0 0.0 True 1.099541 3.729988 1.099540 3.730015 6 70.0 0.0 True 0.241815 3.282226 0.241815 3.282249 7 70.0 0.0 True -0.698412 2.556130 -0.698413 2.556148 9 140.0 0.0 False -14.910580 4.048406 -1.967889 3.702372 11 140.0 0.0 True -1.819304 3.026302 -1.819304 3.026337 13 144.0 70.0 False -49.999978 5.920165 -1.966382 9.145945 16 144.0 0.0 False -2.607437 2.632115 -2.012986 0.000509 19 144.0 0.0 False -3.238271 2.383315 -1.991458 0.004888 20 140.0 0.0 False -3.433107 2.300250 -1.893554 3.053840 22 140.0 0.0 True -1.501714 2.823654 -1.501713 2.823683 23 70.0 0.0 False -1.195063 1.359087 -1.196203 1.358001 25 144.0 0.0 False -4.386621 2.354613 -1.969207 0.006019 26 140.0 0.0 False -6.396878 3.050785 -1.842648 4.777343 28 140.0 0.0 True -0.266544 3.656450 -0.266544 3.656485 29 140.0 0.0 False -13.790944 3.668426 -1.846744 7.651445 31 144.0 0.0 False -10.768390 3.518460 -1.974084 0.001542 32 144.0 0.0 False -8.278305 3.008234 -1.938855 0.007912 33 144.0 0.0 False -4.149312 3.538359 -1.992929 0.006719 36 70.0 0.0 True -0.435506 2.457954 -0.435507 2.457969 37 144.0 0.0 False -3.080013 2.944213 -2.000219 0.006093 42 70.0 0.0 True 0.381679 2.997378 0.381679 2.997396 44 144.0 0.0 False -4.415859 2.701579 -1.974639 0.005989 46 70.0 0.0 True 0.426262 3.444388 0.426261 3.444414 47 70.0 0.0 True -0.733380 2.046466 -0.733381 2.046477 Of the 50 pseudo data experiments, only 1 failed with Histpdf model. Note: statusesHF: statuses of the fit from HistFactory model statusesHistpdf: statuses of the fit from Histpdf model dif_HFHistpdf: difference of the poi fit value between HistFactory and Histpdf, calculated with np.isclose nsig_valuesHistpdf: poi fit value form Histpdf model. nsig_errorHistpdf: poi fit value form HistFactory model. nsig_valuesHF:: poi erro fit value form Histpdf model. nsig_errorHF:: poi fit value form HistFactory model.