From 6006e28ca60a1e968ea47ba0042da6804250f4e2 Mon Sep 17 00:00:00 2001 From: Frank Sauerburger <f.sauerburger@cern.ch> Date: Thu, 27 Jun 2019 14:09:34 +0200 Subject: [PATCH] Improve confusion_matrix example --- ConfusionMatrix.ipynb | 56 ++++++++++++++++++----------- nnfwtbn/plot.py | 82 ++++++++++++++++++++++--------------------- 2 files changed, 77 insertions(+), 61 deletions(-) diff --git a/ConfusionMatrix.ipynb b/ConfusionMatrix.ipynb index 18f88a5..e73357d 100644 --- a/ConfusionMatrix.ipynb +++ b/ConfusionMatrix.ipynb @@ -31,8 +31,8 @@ "\n", "p_vbfh = Process(r\"VBFH\", range=(600, 699))\n", "\n", - "p_ggh_low = Process(r\"$gg$H low\", lambda d: (d.fpid == 706) | (d.fpid == 710))\n", - "p_ggh_high = Process(r\"$gg$H high\", lambda d: (d.fpid == 707) | (d.fpid == 708) | (d.fpid == 711) | (d.fpid == 712))" + "p_ggh_mid = Process(r\"$ggH$, $p_\\mathrm{T}^H \\in [60, 120]$\", lambda d: (d.fpid == 706) | (d.fpid == 710))\n", + "p_ggh_high = Process(r\"$ggH$, $p_\\mathrm{T}^H \\in [120, \\infty]$\", lambda d: (d.fpid == 707) | (d.fpid == 708) | (d.fpid == 711) | (d.fpid == 712))" ] }, { @@ -49,7 +49,7 @@ "\n", "c_boost = (~c_vbf) & Cut(lambda d: d.ditau_higgspt >= 100)\n", "c_boost_high = c_boost & \\\n", - " Cut(lambda d: d.ditau_higgspt >= 140) & \\\n", + " Cut(lambda d: d.ditau_higgspt >= 120) & \\\n", " Cut(lambda d: d.ditau_dr <= 1.5)\n", "c_boost_low = c_boost & (~c_boost_high)" ] @@ -61,9 +61,9 @@ "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "<matplotlib.figure.Figure at 0x7f30c42ea278>" + "<matplotlib.figure.Figure at 0x7f25cebcccc0>" ] }, "metadata": {}, @@ -76,9 +76,9 @@ "pc_boost_low = Process(\"Boosted Low\", c_boost_low & p_sig.selection)\n", "\n", "confusion_matrix(df,\n", - " [pc_vbf, pc_boost_high, pc_boost_low],\n", - " [p_vbfh, p_ggh_high, p_ggh_low],\n", - " x_label=\"Region\", y_label=\"Signal\", annot=True)\n", + " [pc_vbf, pc_boost_low, pc_boost_high],\n", + " [p_vbfh, p_ggh_mid, p_ggh_high, ],\n", + " x_label=\"Region\", y_label=\"Signal\", annot=True, weight=\"weight\")\n", "None" ] }, @@ -88,18 +88,30 @@ "metadata": {}, "outputs": [ { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/esel/repositories/nnfwtbn/nnfwtbn/plot.py:249: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n", - " x_y_df = x_df[y_process.selection(x_df)]\n" - ] + "data": { + "image/png": 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\n", 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\n", 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\n", 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aSNOmTeW5554r8HO5qnHjxpKSklKkfYGfpCRnTDPGTAc6ANcD7wGVgA8Bj3xGYefOnbz77rsubZtXDSF7cxG4VkNw1lyUVzfTgmLKulL/8ssv6dmzJ1WrOvYACQ8PJygoyN4j4rrrrnOab7du3Zg/fz5nzpwhJSWFFi1aUK9ePUaPHs2ZM2dISEiwH/fEiRMOV/0AjRs3drjiyX4zLcvixYtp3ry5vfbjqvr169vfV6tWjcuXL5ORkWG/35PTtm3baN68eZ7rssd14sQJGjVqRIUKf1aEsz5HSkoKGRkZDtvn9Zmypx0+fJhNmzZRs2ZNe1pGRgYjR44E4L///S/PPfccTzzxBG3btuWll16iU6dO/POf/7RfEYJt5MwnnniiwHPiiby9vdm0aRMA//rXv7jrrrsKTM/eQw5sTSXJycn25cTERIYMGZLr//fOnTuJiYnhP//5T5HiHD9+POPHjy/0fh999FGe6VJAk07//v1z3Z/I73NdC1yZMe0u4EZgG4CInDDGuP8Wvptk72Y6fPjwXD1pzpw5wyOPPALYutDl/OHJ3lzUqFEjateunesYf/zxB3v37rUvJyYm5vkFv++++0hLS+P1118HbD2W5s+fT40aNRy2W7ZsGZ999hngeB9hzJgxZGRkMHToULp27UpgYCBnz55lyZIlfP/99/Y8x44d6/S8dOrUidTUVBYsWEDnzray3NfXl8DAQBYsWEBgYKC9OSowMJDDhw877H/kyBFuv/12+3JeTR4zZszgq6++Yvjw4cTGxhbpgaHiyh5XYGAgR48e5erVq/ZC4ciRI7Rs2ZKAgAC8vLw4duyYvbkvr4cTs+fXqFEjunfvztdff53nsSMiIli+fDnp6em89tprDBs2jKNHj+Lj48OsWbOYNWuWvSkpIiKC3r17F/lzutpN1J1mz55NbGwslSpVonPnzvz73/8uMN2ZNm3a5LntgQMH7PdsSkrFihVJTU0lPDzc4TvvDvl9LmcuXbpEp06dSE9Pd7iIKVXOqhDAZuvfbda/1YF4V6ofwGRgN5CA7fkFb6AJsAnYD3wMVM65X1GbjJYtW2ZvRqlWrZokJyfn2iY9PV0qVapk3y4hIcFh/Z133mlfN2jQoDyPs3HjRpeaf06ePCn9+/e3L0dHR+eZ39tvv23f5uabbxYRkaNHjzrNv1KlSrJgwQKXz0+nTp2kbt26MnfuXHvapEmTpG7dujJ8+HB72m+//SZ+fn6yePFiSU9Pl9jYWPHz87NXY7t3757ruFlpV65ckX79+snw4cMdmmqyy9lkNGLECPu6Q4cOCSDp6el57gvk2/SSPV8RkStXrkiTJk3kxRdflLS0NFm/fr3UqFFD9uzZIyIiw4YNk+joaLl48aLs2bNHGjVqlKvJKPuxzp07J9ddd50sWrRI0tLSJC0tTTZv3iyJiYly5coV+fDDD+Xs2bMiYvubXnfddSIiEhcXJ/v27ZOrV6/KkSNHpH79+rJu3bo8P4MqmCtNRn9lFLPJyJViaKkx5i2gpjFmPPANkLufXw7GmIbAw0AHEWmDbfLnKOBlYLaINAd+B8a5EINTaWlpDjcxJ06cSEBAQK7tvLy8HJ4EzNls5EoPo+zPH+SnXr16xMfH23s3VKhQgWeeeSbPbbNfDSUkJCAi1K5dm6VLl3LffffRrl07AgMDqVy5MtWqVSMkJISJEycSHx/v0oNgWbp3705ycrJDT5quXbuSnJzs0N20du3arFixglmzZlG7dm1eeeUVVqxY4dLERZUrV2bZsmWcOnWKsWPHlmlvmsqVKxMXF8eqVauoU6cOEydOZNGiRbRq1QqA1157jdTUVOrXr8/IkSOJjo6mSpUq+ebn4+PDmjVriI2NJTAwkPr16zN16lSuXLkC2G60BwcH4+vry5tvvmlvMtm3bx+33norNWrUoFOnTkycOJGePXuW/Akoh3r06OFypwNVeC5NkGOM6QP0BQywWkTyrjM77tMQ+BEIA84BnwPzgMVAfRHJMMZ0AmaIyG3Z99UJclRZmDp1qr3HkVLXouJOkOPKPQSsAsBpIZBjn+PGmFeBI8AlYA2wFTgrIllP+RwD8u+4q1QJ2rt3L2lpadxwww1s2bKFd955h7fffrusw1KqzORbIBhjxgH+IvIva/kY4IutlvBPEXmzoIyNMbWAO7DdMzgLfALcXtA+WVJSUhye0M0yYcKEa2luU+Xhzp8/T3R0NCdOnKBevXo8+uijDkMrK+Wpsg1VkVOxJqTPt8nIGLMFuF1ETlvL20XkRmOMN7Zmo+4FZmzM36z9x1nLo4BOwN/QJiOllHK7kpxT2WQVBpZPAETkMuBKn7cjwM3GmGrG1nevN5AIrAeyOqqPBjx+GAyllPorKKhAqJl9QUReADDGVMCFaomIbAI+xfb8wi7rWDHAVGCKMWY/UBt4p0iRK6WUcquCbiqvMcY8JyJP50j/P2w3iJ0SkenA9BzJB4GOroeolFKqNBRUIPwTeNu6kt9ppYUBPwGud35XSil1Tci3yUhELopINLbnDxZar9vENvz1hdIJTynXpaam0rFjR2rUqGEfElsp5TpXZkw7KCJx1uuAs+2VKivVqlVj5cqVhR5cT11bsncN/tvf/qYz5rlRGY2gVPqef/55jDEuv1Tp+fnnnwkPD8fHx4f//Oc/DhPoFEalSpXyHK5ElZ233nqLBx54wCGtTZs27NlTtFl4jx49ap/jGGyTRRVlEMWkpCSqVq3qMLHP2bNnGTp0KK1atSIkJIQffvgBgK+++orrr7+e5s2b89JLLznNe+zYsdStW9c+jWhW3D179iQ0NJTWrVszd+5ch33yOsalS5cIDw+ncuXKTifBcpe/RIGQkZHBrl27CjXIU1G99tprdOjQgSpVqnDPPffkWn/33XfToEEDfH19admyZa4nY2vUqGF/VahQgapVq9qXcw4nnNPtt9/Os88+myt9+fLl1K9f36VpIJ3FBxAbG0tISAjVq1enWbNmbNiwIc+8nJ2LLK+88go9e/bk/PnzPPzww05jVNeOXbt2OUwve/nyZZKSkpxOKJWfrVu3kpiYyP3338/o0aPtM/xlt2DBAiIiIujQoYP9lTVxTXbNmjVzGOn0kUce4fbbb2fv3r3s3LmTkJAQMjMzefDBB1m1ahWJiYl89NFHTqe8vOeee/jqq68c0ry8vJg1axaJiYn8+OOPzJ8/355PfseoWrUqO3bsyPMzlpQCh66wnh/oyJ/DSxzHNvqp58z55oKvvvoq1zDYJSUwMJCnn36a1atXc+nSpVzrn3zySd555x2qVKnC3r176dGjBzfeeKN9ToULF/68PRMcHMzbb7/Nrbfe6tKxR48ezbRp05g5c6ZDLeeDDz5gxIgR+c4vUJj4vv76a6ZOncrHH39Mx44dOXnyZJHPRZbDhw8TFRXl0mf89ddf89w2NjbWYV6F8u7rPe69YuwT4toDrnv27OG+++7j7NmzjBw5krfeeov9+/fnmx4fH8+YMWPs++/atYuWLVs6vaqPjo7m6tWrHDp0iFOnTvH6668zYMAAtm7dyqxZs4iIiGDlypWkpKQ47Ddr1ix27drFunXr8PFxfZT+1NRUvvvuOxYuXAjYBkasXLkyP/zwA82bN6dp06YAREVFsXz58lwzwWXXrVs3+1wlWRo0aGCv2fj4+BASEsLx48cJDQ1l8+bNhT5GSSloTuW+wD5gBtDfes0E9lnrrhnLli1jyJAhDmkHDx5kwIAB1KlTB19fX/r06eOWYw0ePJg777wzz3kUwDZlZtaImlnNUzmnAnTmxIkTDBkyhICAAJo0aWKfSOTOO+/k9OnTDlfsv//+OytWrGDUqFEu5e0svunTp/Pss89y8803U6FCBRo2bJjvPLLOzgVAr169WL9+PZMmTaJGjRr2qRi3bNlCaGgotWrVYsyYMVy+fBmwTabz7bff5nr9lQqDspKRkcGIESOYO3cu8fHxHDx4kDZt2uSbDrYpMwcPHkxwcDDBwcH069fP6ZzKYJskp2nTpmzevJnFixczc+ZMwDYacNb8yps3b3aYnCozM5MlS5bwzjvvFKowANvUrwEBAYwZM4Ybb7yRe++9l4sXL3L8+HGHSZKCgoJyTY1ZWElJSWzfvp2bbroJoESOUVQFNRnNBW4VkX4icq/1uh3oY60rMampqfZxi+Li4gq175EjR3jxxRftMzOlpqbi5eWVa1KaUaNG0b9/f06dOkVycjIzZszIM7+sydHzeg0cOLBIn2/ixIlUq1aNVq1a0aBBg1wzLhXk6tWrREZGEhYWxvHjx1m7di1z5sxh9erVVK1alWHDhrFo0SL79kuXLqVVq1YuTVLuLL7MzEx++uknUlJSaN68OUFBQUyaNKnAq39n1q1bR9euXXnttde4cOGCvSlh8eLFrF69mgMHDvDLL7/w3HPPuZRf//79WbNmDePHj7df7Sn3WLZsGWFhYfZh4UNDQwkLC8s3/ejRowQEBHD48GGSkpJISkoiKirKYU7lvFy+fJmUlBSmT59uzy9rrvHPPvuMypUrAzBz5kyHvFJSUti/fz/t27cnPDzc4eXsO5aRkcG2bdt44IEH2L59O9WrV3fpfkFhXbhwgSFDhjBnzhx8fX3dkmdcXFz2cd78ipNXQQWCF7bRSHM6jm0azRLj5+dnH7wpMjKyUPueO3eO7du3ExsbC8Ann3zCsGHDcm134MABMjMzyczMxNvb2z6LWE4rVqzg7Nmzeb5WrFhR+A8HvP7665w/f54NGzYwePDgAsfgz2nLli2kpKTw7LPPUrlyZZo2bcr48ePtn3f06NF8+umn9ivqRYsWMXr0aLfEd+rUKdLT0/n000/ZsGEDO3bsYPv27S7/WBfGpEmTaNSoEf7+/kybNi3f6Q1z+vLLLzlx4gQ//PBDgfctVOHFx8c73IRNSEggPDw83/Rdu3blmkA+MTHRaQ0hISGBFi1a4O3tDdjmH3HlgiYgIICWLVuydetWduzY4fDKmpckP0FBQQQFBdmv2ocOHcq2bdto2LChw0x6x44dy7dG7Ex6ejpDhgxhxIgRDB482J5e3GNERkZmH+wutUjBWQoqEN4FthhjphpjhluvqdhmO/PY4SbatGnDhAkT+OCDDwBYv349vXr1yrXd4sWLWb58OYGBgYwbN87lOY/dpWLFinTp0oVjx47xxhtvuLzf4cOHOXHihENN5YUXXuDUqVMAdOnShTp16vD5559z4MABNm/ezPDhw90SX9YcsQ899BANGjSgTp06TJkyxemXrSiyV6EbN27MiRMn3H4MVTi1a9e2N+nt2LGDDz/8kLCwsHzT4+Pjc7WD79692+Gqvnfv3rmaR3bu3MmRI0e4fPkyFy9eZPr06UyePJn777+fQYMG0bVrV+6///5cTa0VK1YkKiqKe++9l/Pnzxfqs9WvX59GjRrx888/A7B27VpCQ0OJiIhg3759HDp0iLS0NGJjYx1uUOcVf15EhHHjxhESEsKUKVMc1jk7RmnK9y6jiLxojFkODMI2SinYagcjRKTg2+xlrFevXpw4cYLVq1fTuHHjPOcn7dWrF7169SI5OZn+/fuzcOHCXH8ogH79+uXbi6Zr166sWrWqWLFmZGQU6h5Co0aNaNKkCfv27ct3m1GjRrFo0SJ+/vlnbrvtNurVq+eW+GrVqkVQUJDDDeuS6qKb/YrpyJEjpdrTQuVt5MiRDBgwgBtuuIEePXoQHBxM06ZN803ftWuXQ7PqmTNnEBH7/Z6rV6+yf/9+/P39HY6zc+dOBg8ezE033UR6ejpPPfUUnTt3pnPnznz77bckJCTkO2vao48+yoIFC+jVq5dDb8HAwEC++OKLAj/fvHnzGDFiBGlpaTRt2pT33nsPLy8vXnvtNW677TYyMzMZO3asvdaTX/zR0dF8++23/PbbbwQFBTFz5kyuv/56PvjgA2644QZ7beqFF16gf//+BR6jtBXY7cT64ffoH/+8VKhQgeHDhzN69GjWr1+fa/2yZcu44YYbaN68OefPn+f33393qPJmV9gf/IyMDDIyMuzNUZcvX8bLywsvLy+Sk5NZt24dAwcOpGrVqnzzzTd89NFHLjeHAHTs2BEfHx9efvllHn74YSpXrsyDiI0eAAAdvElEQVSePXu4dOkSERERgK1AeO6554iPj2f27NkO+2c1o+TVvu5KfGPGjGHevHncfvvtVKpUidmzZ+d7L6Wgc+HM/PnzGThwINWqVeP555/n73//u4tnSJUUb29vNm3aBMC//vUv7rrrrgLTc3aT9vf3t9/bA1vz0ZAhQ+w1zyw7d+4kJibG3lmisMaPH8/48eMLvV94eDh5Dbvfv3//PO9B5Bd/ft/ngjpn5neMUldAP3xf4EXgAyA6x7rXizORs7NX+/bt85tD2mU7d+6UDh065Llu8uTJ0qBBA6levbq0bNlSYmJiin28LNOnTxfA4TV9+nQREUlOTpZu3bqJn5+f+Pj4SJs2bQo8ds5J47McP35coqKipF69elKzZk256aabcm3XvXt3qVmzply+fNkhvVevXvke05X40tLS5IEHHhA/Pz+pV6+ePPTQQ3Lp0iUREbn99tvl+eefd+lc5Ix1wYIFDp/7hRdekJCQEPHz85NRo0bJxYsX8z1PqnT83//9n4SGhkpYWJhMnDjR/n8rv/SiatiwoWRmZua5bv369TJv3rxi5S8icuTIEQkKCpKwsLBi51VS/vjjDwkLC5PAwEA5ffq0S/sAP0kxfnsLmiDnv9i6nf4IjAXSgeEicsUYs01E2uW5oxu4a4KcX375pcgPwJRHaWlp9rbdSpVKtF+AUiXCWZPRX11xJ8gpqEDYISLh2ZanYXsWYRDw9bVQICil1F9JcQuEghpzqxhjKojIVQARed4Ycxz4DqhRwH5KKaWuQQV1O40DHPprishC4FEgrQRjUkopVQYK6nb6eD7pXwEtSiwipZRSZeIvMdqpUkop55x3CC8DWWMZge2x7MIOX6GUUn8VcXFx2cd8K9ZYRgX1MgoUkTIZL0B7GdksXLiQt99+m++//96t+S5evJj333+fNWvWuDVfpVTZKm4vo4KajN42xvxojHnJGNPDGOORtYmcvv/+e2655Rb8/Pzw9/enc+fObNmypazDKjNJSUkYYxwmxxkxYoQWBkqpXPItEESkP9AD+Ba4C/jRGLPMGDPBGHNd6YRXOOfOnWPgwIE89NBDnDlzhuPHjzN9+vRCjSaqlMqtZ8+erF692iFtzpw59OvXzz4VZVhYGLfccot9gLhvv/0WPz8/+xDUWRM9zZgxg1dffdUhr+Dg4FKbJlLlr8CbyiJyWUS+EpFHrGrIo9juO7xmjNlcKhEWQtaIi9HR0VSsWJGqVavSt29f+3C7V69e5bnnnqNx48bUrVuXUaNGkZpqGy0260r6vffeo1GjRtSqVYs333yTLVu20LZtW2rWrJnr6ch3332XkJAQatWqxW233cbhw4fzjOvy5cvcfffd1K5dm5o1axIREWEfnTQ1NZVx48bRoEEDGjZsyNNPP53vpOF79+6lT58++Pv7c/3117N06VL7ukuXLvHoo4/SuHFj/Pz86NKlC5cuXaJbt24A1KxZkxo1avDDDz+wcOFCunTpYt9348aNRERE4OfnR0REBBs3brSv69GjB8888wydO3fGx8eHvn376hfXE8zwc+/LiejoaPsQ61liY2N58skn7VNR7ty5k9GjR/PCCy/Yt+natat9COqizJOtSlehehmJyCEReV1EBgFdnO5QyrKm5hs9ejSrVq2yT6qRZeHChSxcuJD169dz8OBBLly4kOtHftOmTezbt4+PP/6Yf/zjHzz//PN888037N69m6VLl/K///0PsM1T/MILL7Bs2TJSUlLo2rUr0dHRecb1/vvvk5qaytGjRzl9+jRvvvmmfUCse+65By8vL/bv38/27dtZs2ZNnvMYX7x4kT59+jB8+HCSk5OJjY1l4sSJ9nlZH3vsMbZu3crGjRs5c+YMr7zyChUqVOC7774DbBOIX7hwgU6dOjnke+bMGQYMGMDDDz/M6dOnmTJlCgMGDOD06dP2bZYsWcJ7771HcnIyaWlpua7uVPk3dOhQVq5cSVqa7RGkpKQkTpw44TBMOdhq6bVq1SqLEJUbFLnbqYh43MNpvr6+fP/99xhjGD9+PAEBAQwaNMh+Nb548WKmTJlC06ZNqVGjBi+++CKxsbEO7evPPPMM3t7e9O3bl+rVqxMdHU3dunVp2LAhXbt2Zfv27QC8+eabPPnkk4SEhODl5cVTTz3Fjh078qwlVKpUidOnT7N//34qVqxI+/bt8fX15dSpU3z55ZfMmTOH6tWrU7duXSZPnpzrSgxsE/UEBwczZswYvLy8uPHGGxkyZAiffPIJV69e5d1332Xu3Lk0bNiQihUrcsstt7jUVLZy5UpatGjByJEj8fLyIjo6mlatWjnMVDdmzBhatmxpn5Et+8Tk6q/B39+fjh072kf/jY2NZdiwYfYpVsPDw2nWrBn//ve/HYaR37Bhg73J6Pnnn7enz54922FGM53vwjOUu+cQQkJCWLhwIceOHSMhIYETJ07wj3/8A7DNRdy4cWP7to0bNyYjI8NeYAAOcwdUrVo11/KFCxcA20Q1jzzyiH2SGn9/f0Qkz8kyRo4cyW233UZUVBSBgYE8/vjjpKenc/jwYdLT02nQoIE9n/vuu89hiOAshw8fZtOmTQ4T4yxevJhff/2V3377jcuXL9OsWbNCn6+c5yTrvGT/HNnnK65WrZr9HKi/luzNRrGxsfYacVaT0YEDB5gzZ469yzg4NhlNmzbNnj558mSHGc10vgvPUKgCwRhTyxjjfIZsD9GqVSvuueceEhISANskGdmv4I8cOYKXl1eRJpBp1KgRb731lsOUmpcuXeKWW27JtW2lSpWYPn06iYmJbNy4kRUrVrBo0SIaNWpElSpV+O233+x5nDt3jt27d+d5vO7duzsc78KFC7zxxhvUqVMHb2/vPCfacTaBTc5zArbzUtRpAlX5dccdd7B27Vq2bdvGH3/84TDBfZZBgwbZmynVtcdpgWCM+dYY42uM8Qe2AQuMMf8u+dAKb+/evcyaNYtjx2xTQR89epSPPvqIm2++GbBd4cyePZtDhw5x4cIFnnrqKf7+97+7NGFLTvfffz8vvvii/cc7NTWVTz75JM9t169fz65du8jMzMTX15dKlSpRoUIFGjRoQN++fXn00Uc5d+4cV69e5cCBA/b7FNkNHDiQX375hQ8++ID09HTS09PZsmULe/bsoUKFCowdO5YpU6Zw4sQJMjMz+eGHH7hy5QoBAQFUqFCBgwcP5hlb//79+eWXX1iyZAkZGRl8/PHHJCYm5jvpjfrrqlGjBj179mTs2LH53i/7/vvvi1RTVZ7BlRqCn4icAwYDi0TkJuDWkg2raHx8fNi0aRM33XQT1atX5+abb6ZNmzbMmjULgLFjxzJy5Ei6detGkyZN8Pb2Zt68eUU61l133cXUqVOJiorC19eXNm3a5Du72q+//srQoUPx9fUlJCSE7t27M3LkSAAWLVpEWloaoaGh1KpVi6FDh3Ly5Mk8P9uaNWuIjY0lMDCQ+vXrM3XqVK5cuQLAq6++yg033EBERAT+/v5MnTqVq1evUq1aNaZNm0bnzp2pWbMmP/74o0O+tWvXZsWKFcyaNYvatWvzyiuvsGLFCurUqVOk86LKt+joaHbu3OlQIGTdQwgLC+Opp57Ks1OEujbk+6SyfQNjdgF9gfeBaSKyxRgTLyIl1nSkTyorpVThleR8CFlmAquB763CoCm2mdRKjI5lpJRSrimVsYzsGxjTWUT+n7M0d9IaglJKFV5JjmWUJa9G9qI1vCullPJY+TYZGWM6AbcAAcaYKdlW+QIVSzowpZRSpaugewiVsc2d7AX4ZEs/BwwtyaCUUkqVvoKm0Pwf8D9jzEIRyXvUNqWUUuWGK72MqhhjYoDg7NuLSK+SCkoppVTpc6VA+AR4E3gbyHtcZqWUUtc8VwqEDBF5oyiZG2NqYitI2gACjAV+Bj7GVuNIAoaJyO/5ZKGUUqqUuNLtNM4YM9EY08AY45/1cjH/ucBXItIKCAP2AE8Aa0WkBbDWWlZKKVXGXKkhjLb+/We2NAGaFrSTMcYP6AbcA/b5E9KMMXdgm5oTbMNhfAtMdTVgpZRSJcNpgSAiTYqYdxMgBXjPGBMGbAUeAeqJSNbobb8ChR97WimllNs5LRCMMdWAKcB1IjLBGNMCuF5EVriQdzvgIRHZZIyZS47mIRERY0yusTNSUlLo0CH309cTJkxwmHxDKaX+imJiYoiJiclrVbGGKXZlLKOPsV3djxKRNlYBsVFEwp3sVx/4UUSCreWu2AqE5kAPETlpjGkAfCsi12ffV8cyUkqpwiuNsYyaicgrQDqAiPwBFDwNl227X4GjxpisH/veQCLwBX/elxgNLC9s0EoppdzPlZvKacaYqthuJGOMaQZccTH/h4DFxpjKwEFgDLZCaKkxZhxwGBhW6KiVUkq5nSsFwgzgK6CRMWYx0Bmr55AzIrIDyKv60tvF+JRSSpUSV3oZrTHGbAVuxtZU9IiI/FbikSmllCpVrvQyigOWAF+IyMWSD0kppVRZcOWm8qtAVyDRGPOpMWaoMca7hONSSilVylxpMsoaBrsi0AsYD7yLbaIcpZRS5YQrN5WxehlFAn/H9rDZ+yUZlFJKqdLnyj2EpUBHbD2NXgP+JyJXSzowpZRSpcuVGsI7QLSI6FwISilVjuVbIBhjHheRV0RktTHmb9gmysla94KIPFVSQaWmptrHLIqMjCQyMrKkDqWUUte0uLg44uLishb9ipNXvmMZGWO2iUi7nO/zWnY3HctIKaUKr7hjGRXUZGTyeZ/XssrPjGIV2DAj1T1xKKWUEwU9hyD5vM9rWSml1DWuoBpCmDHmHLbaQFXrPdayPpimlFLlTL4FgohULM1AlFJKlS1Xhq5QSin1F6AFglJKKUALBKWUUhYtEJRSSgEuDm6nylBxn2MAfZZBKeUSrSEopZQCPLSGoGMZKaWUa0plLKOyVK7GMnJHk0+xY9AmI6X+Coo7lpE2GSmllAK0QFBKKWXRAkEppRSgBYJSSimLFghKKaUALRCUUkpZtEBQSikFaIGglFLKogWCUkopwEOHrihPvv77gWLt3+fjZm6KRCmlCuaRBYKOZaSUUq7RsYyuIV/v+a1Y+7ulhqBjGSn1l6BjGSmllHILj2wy8hjuGKm0mPcQlFKqtGgNQSmlFKAFglJKKYs2GXm44nZbBejjhjiUUuWf1hCUUkoBpVAgGGMqGmO2G2NWWMtNjDGbjDH7jTEfG2Mql3QMSimlnCuNGsIjwJ5syy8Ds0WkOfA7MK4UYlBKKeVEiRYIxpggYADwtrVsgF7Ap9Ym7wN3lmQMSimlXFPSN5XnAI8DPtZybeCsiGRYy8eAhiUcg3LH8xT6tLNS5V6JFQjGmIFAsohsNcb0KMy+KSkpdOiQ++nrCRMm2Mc4Ukqpv6qYmBhiYmLyWlWnOPmWZA2hMzDIGNMf8AZ8gblATWOMl1VLCAKO59wxICCA8jKWkVJKuVt+F8fGmGINnlZi9xBE5EkRCRKRYCAKWCciI4D1wFBrs9HA8pKKQSmllOvK4jmEqcAUY8x+bPcU3imDGJRSSuVQKk8qi8i3wLfW+4NAx9I4rlJKKdfpk8pKKaUALRCUUkpZtEBQSikF6GinBXLHSKNKKXWt0BqCUkopQAsEpZRSFi0QlFJKAR56DyE1NdX+WHZkZCSRkZFlHJFSSnmmuLg44uLishaLNZKlEZHiR+RmHTp0EE8Yy+jrPcUaFsRj9Pm4WfEz0dFOlfJ4xpitIpJ7ZFAXaZORUkopwEObjJR7uaP7bB83xKGU8mxaICjX6CQ7SpV72mSklFIK0AJBKaWURQsEpZRSgBYISimlLFogKKWUArRAUEopZdECQSmlFOChzyHoWEZKKeUaHcuolJSXsYzcQcdDUsrz6VhGSiml3EILBKWUUoCH3kNQ7tWkdvVi56ED5ClV/mkNQSmlFKAFglJKKYsWCEoppQC9h+Dx3NH+7w6eEodSquRogaBKT3En2dHnGJQqUdpkpJRSCtACQSmllMUjm4x0LCOllHKNjmVUSjxhLKPydDO3+ev1i5eB3kNQqkA6lpFSSim30AJBKaUUoAWCUkopi0feVHaL4vZ5B3DDgG7l6R6AUqp80xqCUkopQAsEpZRSlhJrMjLGNAIWAfUAAWJEZK4xxh/4GAgGkoBhIvJ7ScWhPEdx51TQ+RSUKlkleQ8hA3hURLYZY3yArcaYr4F7gLUi8pIx5gngCWBqCcahPITeT1HKs5VYk5GInBSRbdb788AeoCFwB/C+tdn7wJ0lFYNSSinXlco9BGNMMHAjsAmoJyInrVW/YmtSUkopVcZKvNupMaYG8F/gHyJyzhhjXyciYozJNXZGSkoKHTrkfvp6woQJ9jGOlFLqryomJoaYmJi8VtUpTr4lWiAYYyphKwwWi8gyK/mUMaaBiJw0xjQAknPuFxAQgCeMZaSUUp4ov4tjY0yxBmAryV5GBngH2CMi/8626gtgNPCS9e/ykjh+cXu0KA/kjocNdYA8pfJVkjWEzsBIYJcxZoeV9hS2gmCpMWYccBgYVoIxKKWUclGJFQgi8j1g8lndu6SOq5RSqmj0SWWllFJAeR7czg30QSql1F+J1hCUUkoBWiAopZSyaIGglFIK0HsI6hqyf+Kvxc6juRviUKq80hqCUkopwENrCKmpqfbHsiMjI4mMjCzjiJRSyjPFxcURFxeXtVisx/mNSK6x5cpchw4dpLhjGX29p1hDegDa7bQ8av56/eJnosNfKA9ljNkqIrlHBnWRNhkppZQCtEBQSill0QJBKaUUoAWCUkopixYISimlAA/tdqpUSdGH25TKnxYIShVWcWdu026rykNpk5FSSilACwSllFIWLRCUUkoBHnoPQccyUkop1+hYRi7QsYyUp2pet2pZh6DKKR3LSCmllFt4ZJORO+jVvfJYxe22Ctp1VZUIrSEopZQCynENQalyTWsZqgRoDUEppRSgNQSlSp1bxlNyx8xvSuWgBYJS1yAdpE+VBG0yUkopBWiBoJRSyqJNRkr9VWlPJZWDRxYIOpaRUkq5RscycsH+5EtuikYplZ9i93bSGoZb6VhGSiml3MIjm4yUUteG4nZ/1a6vnkULBKVU2dEb2x5FCwSlVJnRB+w8i0cWCCkpKWUdgktiF71D1KhxZR2GUxqne2mc7uOWGN1Ry3AiZmsaE9pXdhKHR9RU6hRnZ4/sZVS9enW5ePFisfIojV5Gd/XtzGdr/l+JH6e4NE730jjd51qIEVyL0xNmwjPG/CEiRZ4MpkxqCMaY24G5QEXgbRF5qSziUEopdynuRagnFCil3u3UGFMRmA/0A0KBaGNMaGHzyfYgRp7Wrl5ZrPWublPcPDwhTncco7zE6Ql/c3flURrH0Djdd4y3PviU/cmXCnw526a4yuI5hI7AfhE5KCJpQCxwR2EzcVYgrF/zZbHWu7pNcfPwhDjdcYzyEqcn/M3dlUdpHEPjdN8xSus3qSBlUSA0BI5mWz5mpSmllCpDpX5T2RgzFLhdRO61lkcCN4nIpGzbXAYy89g9BfjNeu8HFHRbv7jrXdmmTrZ4SiqO0ojTHccoL3G6cozixlla5/taiLM0vkPuyMPTvut1gIA81lcUEW8neeSrLG4qHwcaZVsOstLsivOBlFJKFU1ZNBltAVoYY5oYYyoDUcAXZRCHUkqpbEq9QBCRDGA/sA84DywVkd3GGH9jzNfGmH3Wv7UAjM1/jDH7jTHxxph2pRWrMeZdY0yyMSYhW9oMY8xxY8wO69U/27onrTh/NsbcVkoxNjLGrDfGJBpjdhtjHrHSPep8FhCnp51Pb2PMZmPMTivOmVZ6E2PMJiuej62LGYwxVazl/db64DKOc6Ex5lC28xlupZfl96iiMWa7MWaFtexR57KAOD3uXFrHTzLG7LJi+slKc8/3XURK/QV0A9oBCdnSXgGesN4/Abxsve8PrAIMcDOwqYzjnAE8lse2ocBOoArQBDiArT2vpGNsALSz3vsAv1ixeNT5LCBOTzufBqhhva8EbLLO01Igykp/E3jAej8ReNN6HwV8XErnM784FwJD89i+LL9HU4AlwApr2aPOZQFxety5tI6fBNTJkeaW73uZDH8tIt8BZ3Ik3wG8b71/H7gzW/oisfkRqGmMaVCGcebnDiBWRK6IyCFstaCOJRacRUROisg26/15YA+2XlsedT4LiDM/ZXU+RUQuWIuVrJcAvYBPrfSc5zPrPH8K9DbGmDKMMz9l8nc3xgQBA4C3rWWDh53LvOJ0osx+k5zEVOzvuyfNh1BPRE5a738F6lnvPbGb6iSr+vVuVtUMD4jTqmLfiO1q0WPPZ444wcPOp9V0sANIBr7GVjs5K7bmzpyx2OO01qcCtcsiThHJOp/PW+dztjGmSs44LaV1PucAjwNXreXaeOC5zCPOLJ50LrMIsMYYs9UYM8FKc8v33ZMKBDux1XU8b5AlmzeAZkA4cBKYVbbh2BhjagD/Bf4hIueyr/Ok85lHnB53PkUkU0TCsfWA6wi0KuOQ8pQzTmNMG+BJbPFGAP7A1LKKzxgzEEgWka1lFYMrCojTY85lDl1EpB220R4eNMZ0y76yON93TyoQTmVVZax/k610p91US5OInLK+iFeBBfzZjFFmcRpjKmH7kV0sIsusZI87n3nF6YnnM4uInAXWA52wVbWzumlnj8Uep7XeDzhdRnHebjXNiYhcAd6jbM9nZ2CQMSYJ24gEvbCNYeZp5zJXnMaYDz3sXNqJyHHr32TgMysut3zfPalA+AIYbb0fDSzPlj7Kult+M5CarWpU6nK0v90FZPVA+gKIsnpKNAFaAJtLIR4DvAPsEZF/Z1vlUeczvzg98HwGGGNqWu+rAn2w3e9YDwy1Nst5PrPO81BgnXWFVhZx7s32o2CwtSNnP5+l+ncXkSdFJEhEgrHdJF4nIiPwsHOZT5x3e9K5zGKMqW6M8cl6D/S14nLP972gO84l9QI+wtY8kI6tTWsctrbCtdi6o34D+FvbGmyD4R0AdgEdyjjOD6w44q2T3SDb9tOsOH8G+pVSjF2wVQ/jgR3Wq7+nnc8C4vS089kW2G7FkwA8a6U3xVYg7Qc+AapY6d7W8n5rfdMyjnOddT4TgA/5sydSmX2PrOP34M/eOx51LguI0+POpXXudlqv3cA0K90t33ePnA9BKaVU6fOkJiOllFJlSAsEpZRSgBYISimlLFogKKWUArRAUEopZdECQSmlFKAFglJKKYsWCEqpcs0Yszzb+0+MMRXLMh5PpgWCUqrcMsY0wjbaQJYKIpJrvnZjzMZC5lvPGLPEGHPQGnX0B2PMXU72WW9yTPRkjPmHMeaNwhy7JGmBoJQqz9oDocaYN40x7wMn8tpIRG5xNUNrbKPPge9EpKmItMc2BlKQk10/srbLLspK9wg6dIVSqlwwxnyE7SK3Cbb5ACZimyXsCxHZYowZAASIyMI89r0gIjWsuTpWAd8Dt2AbGfQOEbmUbdve2MaO6l5ALHcDDwOVsc37MRHb6K17gSARSbOO9R3QWDzkh1hrCEqp8iIMOCgiHYERwHSgDbaB4MA2TLQrczO0AOaLSGvgLDAkx/rWwLb8djbGhAB/BzqLbb6KTGCEiJzBNmhfP2vTKGxzyntEYQDg5XwTpZTybMYYbyAAmGklJQK1rMIBABGZ7mJ2h0Rkh/V+KxDs5NjzsY3mmyYiEUBvbE1VW6wZQKvy5/wEWc1Gy61/x7kYU6nQAkEpVR60AfaJyGVruR1/1gwK60q295nYftCz2022WoOIPGiMqQP8ZCUZ4H0ReTKPvJcDs40x7YBq4mGzyWmTkVKqPAgDrjPGeFsTx8zE9sP7pjHmC2PMBut9Mzccax3gbYx5IFtatWzv1wJDjTF1AYwx/saYxgAicgHbBEHv4kE3k7NoDUEpVR6EAcuw3cCtBLwgIv8P+H/GmB5AGxF5zR0HEhExxtyJrcB5HEgBLmLNuSwiicaYp4E1xpgK2CbYehA4bGXxEbapL3P2OCpz2stIKXXNM8b8D5ggIj/nsa4HbiwQyjNtMlJKlQfNsE0fqYpBm4yUUtc8EXH2UJhygTYZKaWUArTJSCmllEULBKWUUoAWCEoppSxaICillAK0QFBKKWXRAkEppRSgBYJSSimLFghKKaUALRCUUkpZ/j/Y/LfASiw9FgAAAABJRU5ErkJggg==\n", + "text/plain": [ + "<matplotlib.figure.Figure at 0x7f25ceb72438>" ] }, "metadata": {}, @@ -107,11 +119,13 @@ } ], "source": [ - "confusion_matrix(df,\n", - " [p_vbfh, p_ggh_high, p_ggh_low],\n", - " [pc_vbf, pc_boost_high, pc_boost_low],\n", - " x_label=\"Region\", y_label=\"Signal\", annot=True)\n", - "None" + "hist_factory = HistogramFactory(df, bins=20, stacks=[[p_ggh_high, p_ggh_mid, p_vbfh]], range=(50, 450),\n", + " weight=\"weight\", color=[sns.color_palette(\"Blues\")[:2] + sns.color_palette()[1:]])\n", + "v_higgs_pt = Variable(r\"$p_{\\mathrm{T}}^{H}$\", \"ditau_higgspt\", unit=\"GeV\")\n", + "\n", + "hist_factory(v_higgs_pt, selection=c_vbf)\n", + "hist_factory(v_higgs_pt, selection=c_boost_low, range=(100, 200), bins=20)\n", + "hist_factory(v_higgs_pt, selection=c_boost_high, range=(100, 500))" ] }, { diff --git a/nnfwtbn/plot.py b/nnfwtbn/plot.py index 7d1a367..bbd1d7e 100644 --- a/nnfwtbn/plot.py +++ b/nnfwtbn/plot.py @@ -148,43 +148,42 @@ def hist(dataframe, variable, bins, stacks, selection=None, stack_props = props[i_stack] process_kwds[kwd] = stack_props[i_process % len(stack_props)] - if "histtype" in process_kwds: - if process_kwds["histtype"] == "points": - del process_kwds['histtype'] - - defaults = { - 'markersize': 4, - 'fmt': 'o' - } - - defaults.update(process_kwds) - process_kwds = defaults - - n, _ = np.histogram( - variable(dataframe[sel(dataframe)]), - bins=bins, range=range, - weights=weight(dataframe[sel(dataframe)])) - - bin_centers = (bins[1:] + bins[:-1]) / 2 - bin_widths = bins[1:] - bins[:-1] - - axes.errorbar(bin_centers, bottom + n, np.sqrt(n), bin_widths / 2, - label=process.label, - **process_kwds) - - else: - n, _, _ = axes.hist( - variable(dataframe[sel(dataframe)]), - bins=bins, range=range, - bottom=bottom, - label=process.label, - weights=weight(dataframe[sel(dataframe)]), - **process_kwds) + if "histtype" in process_kwds and process_kwds["histtype"] == "points": + del process_kwds['histtype'] + + defaults = { + 'markersize': 4, + 'fmt': 'o' + } + + defaults.update(process_kwds) + process_kwds = defaults + + n, _ = np.histogram( + variable(dataframe[sel(dataframe)]), + bins=bins, range=range, + weights=weight(dataframe[sel(dataframe)])) + + bin_centers = (bins[1:] + bins[:-1]) / 2 + bin_widths = bins[1:] - bins[:-1] + + axes.errorbar(bin_centers, bottom + n, np.sqrt(n), bin_widths / 2, + label=process.label, + **process_kwds) + + else: + n, _, _ = axes.hist( + variable(dataframe[sel(dataframe)]), + bins=bins, range=range, + bottom=bottom, + label=process.label, + weights=weight(dataframe[sel(dataframe)]), + **process_kwds) bottom += n axes.set_xlim((bins.min(), bins.max())) - axes.set_ylim((0, axes.get_ylim()[1] * 1.4)) - axes.legend(frameon=False) + axes.set_ylim((0, axes.get_ylim()[1] * 1.6)) + axes.legend(frameon=False, loc=1) if variable.unit is not None: axes.set_xlabel("%s in %s" % (variable.name, variable.unit), @@ -241,21 +240,24 @@ def confusion_matrix(df, x_processes, y_processes, x_label, y_label, elif axes is None: axes = figure.subplots() - data = {x_label: [], y_label: [], 'z': []} + y_processes.reverse() + data = np.zeros((len(y_processes), len(x_processes))) for i_x, x_process in enumerate(x_processes): x_df = df[x_process.selection(df)] total_weight = weight(x_df).sum() for i_y, y_process in enumerate(y_processes): x_y_df = x_df[y_process.selection(x_df)] - data[x_label].append(x_process.label) - data[y_label].append(y_process.label) - data['z'].append(weight(x_y_df).sum() / total_weight) + data[i_y][i_x] = weight(x_y_df).sum() / total_weight - data = pd.DataFrame(data) - data = data.pivot(y_label, x_label, "z") + data = pd.DataFrame(data, + columns=[p.label for p in x_processes], + index=[p.label for p in y_processes]) sns.heatmap(data, **dict(vmin=0, vmax=1, cmap="Greens", ax=axes, cbar_kws={ 'label': "$P($%s$|$%s$)$" % (y_label, x_label) } ), **kwds) + axes.set_xlabel(x_label) + axes.set_ylabel(y_label) + return data -- GitLab