{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "View results" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING (theano.configdefaults): install mkl with `conda install mkl-service`: No module named 'mkl'\n" ] } ], "source": [ "import numpy as np\n", "import matplotlib\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "matplotlib.rc('font', family='DejaVu Sans')\n", "%matplotlib inline\n", "\n", "import pickle\n", "import pymc3 as pm\n", "\n", "def load_model(fn):\n", " with pm.Model():\n", " with open(fn, 'rb') as f:\n", " return pickle.load(f)\n", " \n", "model1 = load_model('model1.pickle')\n", "model2 = load_model('model2.pickle')\n", "model3 = load_model('model3.pickle')" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from steel_processes import define_processes\n", "processes = define_processes()" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "from trace_sankey_helpers import show_sample, animate_samples, show_variance, flows_from_trace, save_variance\n", "from steel_sdd import sdd\n", "\n", "def pidx(pid):\n", " return list(processes.keys()).index(pid)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "100" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sum(p.nparams for p in model1.processes.values()) + len(model1.possible_inputs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Prior" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "with model1.model:\n", " trace1 = pm.backends.text.load('traces/trace1')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Samples from prior:" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "f8e31c943427419da12cf04e3de8b7f5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Button(description='Go', style=ButtonStyle()), SankeyWidget(groups=[{'id': '__scrap1_SP_0', 'ty…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "animate_samples(processes, model1.possible_inputs, trace1, sdd, rescale=True)" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "eddf0df221984bb3b2d7e8b9e64502d5", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SankeyWidget(groups=[{'id': '__scrap1_SP_0', 'type': 'group', 'title': '', 'nodes': ['__scrap1_SP_0^*']}, {'id…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "flows1 = flows_from_trace(processes, model1.possible_inputs, trace1)\n", "show_variance(flows1, sdd, vlim=(0, 400)).auto_save_png('figures/prior_uncertainty_abs.png')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Sample prior distributions:" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.distplot(trace1['X'][:, pidx('OBF')], kde_kws=dict(clip=(0, 3000)))\n", "sns.distplot(trace1['X'][:, pidx('OHF')], kde_kws=dict(clip=(0, 3000)))\n", "sns.distplot(trace1['X'][:, pidx('EAF')], kde_kws=dict(clip=(0, 3000)));" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "sns.distplot(trace1['X'][:, pidx('CCS')], kde_kws=dict(clip=(0, 3000)))\n", "sns.distplot(trace1['X'][:, pidx('IC')], kde_kws=dict(clip=(0, 3000)))\n", "sns.distplot(trace1['X'][:, pidx('CCBT')], kde_kws=dict(clip=(0, 3000)))\n", "sns.distplot(trace1['X'][:, pidx('CCBM')], kde_kws=dict(clip=(0, 3000)));" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Posterior stage 1" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "with model2.model:\n", " trace2 = pm.backends.text.load('traces/trace2')" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4b6003df7d3347349646f319c77153af", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Button(description='Go', style=ButtonStyle()), SankeyWidget(groups=[{'id': '__scrap1_SP_0', 'ty…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "animate_samples(processes, model2.possible_inputs, trace2, sdd, rescale=False)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "flows2 = flows_from_trace(processes, model2.possible_inputs, trace2)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Adjust the colormap to exclude the palest colour:" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "from palettable.colorbrewer import sequential\n", "from matplotlib.colors import LinearSegmentedColormap\n", "palette = LinearSegmentedColormap.from_list('', sequential.YlGnBu_9_r.mpl_colors[:-1])" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "11b919c971484236b612c2ec4a6aae8c", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SankeyWidget(groups=[{'id': '__scrap1_SP_0', 'type': 'group', 'title': '', 'nodes': ['__scrap1_SP_0^*']}, {'id…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "s = show_variance(flows2, sdd, vlim=(0, 700), palette=palette).auto_save_png('figures/stage1_uncertainty_abs.png')\n", "plt.gcf().savefig('figures/stage1_uncertainty_abs_colorbar.svg', bbox_inches='tight')\n", "s" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d7626a680f0e4f42a1cc9e0a7cb43d29", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SankeyWidget(groups=[{'id': '__scrap1_SP_0', 'type': 'group', 'title': '', 'nodes': ['__scrap1_SP_0^*']}, {'id…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "show_variance(flows2, sdd, vlim=(0, 3), palette=palette, normed=True)" ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%html\n", "" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [], "source": [ "def plot_flow(trace, src, tgt, value, prior=None):\n", " if not isinstance(trace, (tuple, list)): trace = [trace]\n", " N = len(trace)\n", " fig, ax = plt.subplots(1, N, figsize=(3 * N, 2), squeeze=False, sharex=True, sharey=True)\n", " for i, tr in enumerate(trace):\n", " if prior is not None:\n", " prior_values = prior['F'][:, pidx(src), pidx(tgt)]\n", " sns.distplot(prior_values, color='gray', kde_kws=dict(clip=(0, 2000)), ax=ax[0, i])\n", " values = tr['F'][:, pidx(src), pidx(tgt)]\n", " sns.distplot(values, kde_kws=dict(clip=(0, 2000)), ax=ax[0, i])\n", " #plt.hist(trace2['F'][:, pidx('IC'), pidx('ingots')], bins=20);\n", " ax[0, i].set_title(u'{} → {}'.format(processes[src].name, processes[tgt].name))\n", " ax[0, i].axvline(values.mean(), c='k', alpha=0.5)\n", " ax[0, i].axvline(value, c='r');\n", " \n", "def plot_flows(trace, src, targets, refs, prior=None):\n", " N = len(targets)\n", " fig, ax = plt.subplots(1, N, figsize=(3 * N, 2.5), squeeze=False, sharex=True, sharey=True)\n", " for i, tgt in enumerate(targets):\n", " if prior is not None:\n", " prior_values = prior['F'][:, pidx(src), pidx(tgt)]\n", " sns.distplot(prior_values, color='gray', kde_kws=dict(clip=(0, 2000)), ax=ax[0, i])\n", " values = trace['F'][:, pidx(src), pidx(tgt)]\n", " sns.distplot(values, kde_kws=dict(clip=(0, 2000)), ax=ax[0, i])\n", " ax[0, i].set_title(processes[tgt].name)\n", " ax[0, i].axvline(values.mean(), c='k', alpha=0.5)\n", " ax[0, i].axvline(refs[i], c='r');\n", " fig.suptitle(u'{} → ...'.format(processes[src].name))\n", " fig.subplots_adjust(top=0.8)" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'IC', 'ingots', 89, prior=trace1); plt.xlim(0, 1000);" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'BF', 'PI', 928.4, prior=trace1); plt.xlim(0, 2000);" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'S', 'EAF', 351, prior=trace1); plt.xlim(0, 1000);" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [ { "data": { "image/png": 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F01N4/uZ8bl65le89uYlVt55OknNk0xzLhHzDXklJCVartc/vSl9YuHAhV1xxBdXV1TzzzDM0Noa+j4PHo7h71U52VTVy9fwschJ8f2GdDAvGxbFyxXwON3dw/dNbaD7eNSrpjkVC2jDb2tqora0lOzsbs9k87ONMmzaN5cuX09raytNPP01NTY0fVY4+D60p4p+7a7nvwilMTfOtScRfzM2O44nr51J8pJU7X9yBu3vsfr+PJCHtK1taWoqIkJOTc9LHys7OZsWKFbzwwgusXLmSK6+8krw8v5S2R5W/FVTyyNqDfC8/i5vPGMdLWyoHjzQEfJ2k6OLT0nhjZzUPvruP+y6a6lcNpwIhm2N2dXVRWVlJWloaYWH++ZZJTEzk5ptvJjY2lhdeeIH169eHVHPKppJj/PL1LzhzQgL3XzItoO2KC8bFsXxhNk+uL+WjfYcDpiNUCVnDPHToEN3d3YM2jwwVp9PJihUrmD59Oh999BEvvfQSra2tfk1jJCg92satf91GdnwEf/7eHKzmwN/a+y6awpTUKP71b7s43Hw80HJCisDfvWFSXV1NZGQk0dHRfj+2zWbjO9/5DsuWLaOkpIRHH32Uffv2+T0df9Ho6mTFyq2YRHjmhvlEO6yBlgRAmNXMn66ZTXtnNz95eSfdntApfQSakPzGbG9vp76+nkmTJg2ruObrSHoLFiwgJyeH119/nVdeeYWJEydyhduN1RI8l63T7eHWv26juqGdF3+QT1Z8eKAlnUBeUiT3XzKNn7+2i0fXFnPHORMCLSkkCMkcs7q6GoC0tLQRTyspKYnvf//7nHvuuZSWlnKouprGpqagcEhQSvFvb3zBppJ6fnvFaczLiQu0pD65cl4G35qZxh8+OMAXVU2BlhMSBM+rfwhUV1cTExMzJIeCodI7Vw0LC2PJkiVYV66ksaGB5x99lHPPPZfJkycHrJLl8U9KWFVQxV3n5HHZ7PSAaBgI7xrcWRkxrCs6ws3PbeX2s/NO+AY2xhH6OiFnmC0tLbS0tDBt2rRRT9vhcOB0Ouns6qKzs5NVq1YRFxfHlClT6MvBfiQHln53dy0PvruPi09L5afnTRyxdPyFw2bmO3MyWLmxjA/2HmbZjNRASwpqQq4o29P4n5oauBtrs1pZsmQJM2bMoLW1lQ0bNrB9+3ba2tpGJf0vqpr4ySs7mJUZw0NXzgyZ7lYTk50sGBfHp8VHKT06OtcqVAk5wzx8+DAxMTF+a7scLiaTiezsbM455xwmTJhAbW0ta9euZc+ePXR2do5YuvVtnfzw+QLiI+w8sXweYdbhezwFgmXTU4iNsPHa9io63EY3sf4IqaKsx+OhqamJyZMnB1rKl1gsFiZNmkRWVhb79++ntLSUqqoq8vLymDlzJpYh1uAO5FnjUYrnNpZxuKWDN25bTGIIDo5lt5i5fE4GT60v4Z+7a7lsVvB9GwcDIZVjdnVpTtHJyckBVvJ1HA4HM2fOZMmSJcTExFBYWMjDDz/M7t27/eY99NG+Ixw40solp6UxI8P/7bejxbiECBbnJbCltJ79h1sCLScoCSnDdLvdhIeHExkZGWgp/RIVFUV+fj75+fnY7XZee+01nn76acrLy0/quEW1LXy87whzsmKZlxP6g2CdNzWZJKed17ZVcaTF8ArqTcgZZkpKSkhUdiQmJnLLLbdw6aWX0tzczMqVK3nllVe+HFJzKDS4OllVUElyVBiXzEwLifMfDKvZxNULsjju7jZ6ofRBSBmmUiooi7H9YTKZmDVrFnfeeSdnn302JSUlPPLII6xevdrnGlx3t4cXN1fgUYpr87OwWULqlg1ISlQYl81KZ3NpPQ+t2R9oOUFFSFX+iEif7YXBjlVvXpkzZw7r1q2joKCAzz//nDPOOIOFCxditfbv2/r2FzVUN7ZzXX428ZGhV9kzGLOzYrFaTDy27iBzs2M5b2rovHhHkpAyTIvFEtKjqUdGRnLRRReRn5/PBx98wEcffURBQQFnnnkms2fP/lpn7+0VDWwprWfJhISvdXj2tV9kKPDvF09lV1Ujd6/ayau3LmJSijPQkgJOSBnmQDlLMDKQs/yECROIi4ujsLCQd955hw8//JC8vDzK3AmIycSx9m7eKGwjNdLMeVP7H093LBBmNfP48nl855EN3PDMFv5+2yLSYsbG2EvDJaSyn6G2CQY78fHxLF68mPz8fBwOB7t376ar+DPaj1by/kEXNotwbq4Dsyn0K3sGIz3GwcqbFtDW4ebapzZT23Rq19SGlGGGcjG2P0SExMREFi1axMKFC8EaxtpKD80dHs6Jb8ZhPnX6ME5JjWLlivnUtXRw9ROfUVl/UsMNhzRj70kPUUSEhIQECh3TqfDEMj/8GIlNRXQd2Ehj+V7UGB6U2pu52XE8t2IB9W2dXPrwBgrK6gMtKSCMrbJhiLOnrpPN1R2Mi7EwK3ccyhVHd10JdYWbOVqyG3PKREwRfddKZ2dlj7LakWNudixv3L6YFSu38r0nN/PgFTP49uyMQMsaVYwcM0hoaO/m95saibKbWJrjQEQwRcRgyZ6NJXMGytONu3wH7kOFqO6xP15rbmIkr9+2mDnZMfz0lc/5zTt76TqFnBCMHDMIcHsUv9vUSHuX4pJJ4djMX1X2iAjiTMQaEUd3XSmeY5V4WuuxZEzDFB4TQNUjT2yEjb+syOdXb+/lyfWlvLfnMNcsyBp0TKOx0PHaMMwg4NmdLRQe7eIn+dG0u/uu7BGTGUtyHp6oJNxVe3CXbcecOA5TQk7Iu+gN1iY7JTWKq+Zn8vqOav700QG+Oy+Ticlju63Tp6KsiFwgIkUiUiwi9/SxX0Tkj/r+XSIyZ7C4InKliOwREY+IzPPP6YQeH5S4ePegi0smhnNm1uBtdyZHFNbc+ZiikumuK8VdvgPVNfZn2JqZEcPtS/OICrPy3MYy1uytHdOj7g1qmCJiBh4GlgFTgWtEpPfQ2suACfrvFuBRH+LuBr4DfHLypxGa7DvayZPbm5mZbOO6Gb7nAGK2YE6fijltMqq9ma6SrbTX146g0uAg0Wnn1rPGMyc7lrVFdTyzoZSWMTo/ii855gKgWClVopTqBF4GLu0V5lLgL0pjExAjIqkDxVVKFSqlivx2JiFGnaub//6skfhwMz9dGDNkJwIRwRyThjV3PpjNVG19V2tWCaGR44eDzWLi8jkZXD4ng6oGFw9/XExN09ib9s8Xw0wHvCfAqNK3+RLGl7inHC2dHn79ST2d3Yp7FsfgtA2/clzsEVjHzSciIYO6ws0c/mI9nu7AD6050szNjuXWs8YD8MQnJRysC/7R8oeCL09EX6/y3q/l/sL4EnfgxEVuEZECESloaGgYStSgpLNb8eCGBmrbuvnFohiyok/e/1fMFlLnfIO4vNm0HDpI1eZ36HKN/ZEBUqMd3HrWeKIdVlZuKGNnZehPodiDL4ZZBWR6rWcAh3wM40vcAVFKPaGUmqeUmheKXb688SjFH7c0Uni0izvnRzM9yX/duESE+LxZpM45ly5XKxWf/QPX0SFd6pAkJtzGD5eMJys+nFUFlWwrD/2XN/hmmFuBCSIyTkRswNXAW73CvAVcr9fOLgSalFI1PsY9JVBKsfLzFj6r6uCGmU7O8KEGdjhEJmWSefrFWOwOqgvW0FD6xZj/7nTYzNy4KIe8pEj+vr2KN3dWB1rSSTNoO6ZSyi0idwDvAWbgGaXUHhG5Vd//GNpU7hcCxYALuGmguAAi8m3gT0Ai8I6I7FRKfdPfJxgs/GO/i3cOuLh4QjiXTPT/CPLlFSeOKaQyTsN0aB9Hiwo4dqgcS+pkcnJDb75PX7GaTVyXn81zn5Vx96rPsZpNXBjCg0r75GCglFqNZnze2x7zWlbA7b7G1be/Drw+FLGhyifl7Ty3q4XcWAtpTjNrSka+14SYLJjTpyFhUXQfOUiXazOtkTYik0LfK6Y/bBYT15+ezTu7arjrpR04bGbOnpQUaFnDwvD8OUkGM7LKZjfvHnCRFmnmbN0HdrQQEcwJWUhkLN3VhdRs/xBn2ngSp+Rjto69YUpAG7f22Zvmc9Xjm7j9he2s+uHpTE8PvaE+DSf2EaSurZv3D7qIcZg4Py8cS4A6PJvCnFhy5xE3fiYtNSWUf/o6zdXFY/bb0xlm5dmb5hMbbuOmlVupagi9fp2GYY4QTcc9rC52YbcIF+aFYzcH1p9VxET8hDlkLrwYS1gEh79YT+Vnb9N6pHJMGmhyVBjP3jSf413d3PjsVppcoeUhZBjmCODq8rD6QBsouGhCOBEn4UDgb8KiE8hceDHJM86ku+s4Nds/oGLjW7TUlqLU2OpWNTHZyePL51J+rI3bX9weUmPXBs8TM0bo8ijeLXbhcisumOAgJiz4Jv0REaLS88g583KSZ5yJ8nRTu3Mt5etfp6FsD92dY8cpftH4BH5z2Qw+LT7Kb1YXBlqOzxiVP35EKcXasnbqXB6+Od5BckRwXd7eTSoaVsiag6WlDvexCo7u28LRogLqDhYj4bGUlZedUGEViiMlfHd+JoW1zTy7oYwpKVF8d37m4JECTHA9OSHOtpoOShrcLEy3kxMTOkNtiggSlYQpKgnP8RY8DYfwHN8BribcJVswxaZhik5BzKFzTr2578IpHDjcyn1vfMH4pAjmZscFWtKAGIbpJ4rru9hW08mkeCunJdsCLWfYmMKcmFInYUk+gKe9GcREd+0Bug8fxORMxBVhxRGXGtSds/vreL10UiJ7a5q54Zmt3LZ0PLedHbwOF8Y3ph840tbN2rJ2UiLNnJkVFtQPrc+YzJgiYrHmzseSOx9TTBqe1mNUb32Psk9e5VjxTrraQ6tHR7jNwvKF2XR1e/jr5nLaO4N34lzDME+S1k4P7xW7CLcK54/RwZlNYU4sqROxTlxMymlnYQ13Ul+8g7J1f6O6YA0ttWUoT/A+5N4kR4Vx1bxMahqP8/PXdgVtU5FRlD0Jjrs9vHfQRZdHcdHECBzWsf2eE5MZZ1o2zrRculwtNFcfoLn6ALU7P8ZsteNMyyMqYwJ2Z3D3ApqcGsX5U5P5x+eHmJzi5PYgLNIahjlMPErxpy1NHHN5uCDPQZwj+JpFRhJruJP4CXOIy5uF6+ghmqv201hRSGP5HsKiE4nKmEBk6jjMluD83l4yMZEwm5mH1hQxISmS86cF1/wwhmEOk5d2t7KpuoPTM+x+6ewcKvTd5ALEj8canYmnqZaOxhqO7NnIkb2bMEUlYopKRiLiEK8pLgLd7CIizMmKZVt5A3e8uIMfnpVLanTfXfECMRzm2C57jRANxz38fV8b5+c6mJEUnDlCIBCLDXN8FpbcBVhy5mKKTsHTegx35S669n+Ku3ovnpZjQeNh1NNVLMxq4vnPymntCJ4hWQzDHCKtXYpDLW5mJdv4/uyosVED62dEBFN4NJa0yVgnnoElcyYmZwKelqO4Kz+nq+hTar9YT2ttGR53YH1YoxxWli/Moa3TzQubyoPGbc8oyg6BiqYuupvc2C3Cv5w+9JHtTkVETIgzHpMzHuXxoNrq8TQfpu1wBS3VxYiYcMSnEpGUSURiJlZH5KhrTI91cMXcTF7aUsEbO6u5fE5GwF+4hmH6SHWLm/vXNfCUQFa0lbIxXgM7EojJhDgTMDkTyMrIpL3hMG11lbQdqaBu7ybq2IQtMpbw+FQc8ak4YlMwW0fnU2FGejRHJifx4b4jJDnDWDIxcVTS7Q/DMH2gttXNf66tRwE5MRaCqLNIyCImE+HxqYTHp5IwaT5dbU2akR49RFNlEY3lewHBHhVHWEwiYdEJhEUnYo2IHrHc7OzJSRxp6eDdPbU4wyzMzgpcs49hmINwpK2b/1hXT5dHcf/SOOxvG8VXf9Bn7a45CpKjsCRORLU3EWVRtDfU0lxdTFPFPkAbqtMWGYMtMga7/m+LjMUSFnHSBmsS4cq5GbR1unltexUOm5nJKVEndczhYhjmAFQ0dfGr9Q10uBX/eVYc2adQs0ggEZMJiYilFSAlDkuygk4XnvZm1PEWOo+30aF/o34VyYzYwxF7BBLmRMIikbBIcsYNzXnAYjaxPD+bpz4t5aUtFaxYPM6v5+azjoCkGgLsrO3gd5sasZuF/780Lg6YQCcAAAeeSURBVKR6i4w1RATsEZjtEcBXI9+p7i5UR9sJP09rPTR9NY9LacUO7FFx2J3xhMUk4ohJwmQZ+F7arWZuWJTDE58c5LnPyjhvajLzcka3N4phmL3oVorX97Xx8u5WMqMt3Ls4lqSIU8urJ1QQsxUJj4Fe84QqdwfqeCvqeAthJg8dzfW0HdZ7nIhgd8bhiE0mLDYZR2wSFnv4144dabewYvE4ntlQynVPb+ax6+aydBRH3DMM04uaVjcPb22i8GgXebEWlmQ72Hn4xN78Cce1dq7RGILSYHiIxY5E2iEynk5A4nKxdrtR7U14XE10uhrpqNgH5XsBzb1QM9JkHDHJWCO09umYcBu3LBnPmzur+cFfCvj9d2fxrZlpo3IOhmGijdHzZlEbbxS1YTMJdy6IpsPtCXhbloH/ELMFiYzHFBkPgFIeVHsLytWEu72Rltryr75ZzVYkPBpTeAwSHsPP5iXwyK5Y7np5B+XH2rhtaR6mEW7DPqUNs6XDw5oSF//Y30ZLp+LMrDBuOM1JrGN0BmU2CBwiJiQ8GsKjMZOldf/qdOFxNaFcjXhcjXS3HAVgfbmJsxJT8MSn8tCa/WwoquWhq2aTHjdyzhCnnGF2dit21HbwacVxCg4dp9MDs1NsXD3NSV6cUcFzqnJCBVOsVlxVXR2o9iaybC6UUsxr3IPF6mRLeSZn//ZDlsY1c25uOMmJCX7X45NhisgFwP+izT/ylFLqgV77Rd9/IdrcJTcqpbYPFFdE4oBXgBygDPiuUsrvUzV5lKKiyc2euk721HWyo6aDTg+EWYS8eCvTEm3EOcyUNHZR0hhaY48ajCxitSPWJKbmapVDU6dOZXF7O/trGnl+n2JNfRxbmzqYbvrC72kPaphe07Wfhzat3lYReUsptdcrmPdU7/loU73nDxL3HuBDpdQDInKPvv6L4ZyEUoqmDg91rm6OujzUtXVT2eymoslNZbObjm6tl3pSuJncWCu5cVbSnWZMxjekwRAQEcLDw5k1PpyZuYrN1R28sqeV9c3+b+v0Jcf8crp2XVzPdO3ehvnlVO/AJhHpmeo9Z4C4lwJL9fjPAWsZxDAb2rt5ekczrZ0emjs8tHR6aOlQNBzvpqtXp4Bou4msaAvn5ToYF6vljInhxrejgX8QERZmhJGfbmfn4U5+8KB/j++LYfY1XXu+D2H6m+q9J26yPocmSqkaERm0kaj+uIe1Ze1E2k1E2UxE2U2kO03EhNk51u4h0iY4bSYibSbslq9yw57vSgMDfyMizE7x/wRNvhhmwKd6B27RVzsKf3PR7qHE9ze/hATgKN9dEkgZ0KNjhHntkf8KuAYfGFEdv/Qt2CR/pumLYZ7MVO+2AeIeFpFUPbdMBY70lbhS6gngCQARKVBKzfNB84gRDBqCRUcwaAgWHSJS4M/jBXKq97eAG/TlG4A3T/JcDAzGDAGb6h14AFglIjcDFcCVfj0zA4MQJpBTvR8DvjEUsehF2gATDBogOHQEgwYIDh1+1SDBOhK1gcGpjDFIhoFBEBIShikiF4hIkYgU615CI5lWpoh8LCKFIrJHRH6sb48TkfdF5ID+H+sV515dW5GIfNOPWswiskNE3g6ghhgReVVE9unX5PTR1iEiP9XvxW4ReUlEwkZDg4g8IyJHRGS317Yhpysic0XkC33fH8WXbktKqaD+oVUaHQRy0ZpfPgemjmB6qcAcfdkJ7AemAr8F7tG33wM8qC9P1TXZgXG6VrOftNwNvAi8ra8HQsNzwPf1ZRsQM5o60JxUSgGHvr4KuHE0NABLgDnAbq9tQ04X2AKcjtau/09g2aBpj9QD7kdDOR14z2v9XuDeUUz/TTRf3yIgVd+WChT1pQetBvp0P6SbAXwInONlmKOtIUo3Cum1fdR08JX3WBxaZeXbwPmjpQHNrdTbMIeUrh5mn9f2a4DHB0s3FIqy/bn7jTgikgPMBjbTy4UQ6HEhHCl9/wP8HPD2Ah5tDblAHfCsXqR+SkQiRlOHUqoaeAitSa0GrY18zWhq6MVQ003Xl4ekJxQM86Td+oaVqEgk8BrwE6VU80BB+9h2UvpE5GLgiFJqm69R/K1Bx4JWlHtUKTUbaEMrvo2aDv0b7lK04mEaECEi142mBh/xq1tqKBimLy6BfkVErGhG+YJS6u/65sO66yC9XAhHQt9i4BIRKQNeBs4Rkb+Osoae41YppTbr66+iGepo6jgXKFVK1SmluoC/A4tGWYM3Q023Sl8ekp5QMExfXAL9hl5j9jRQqJT6vdeu/lwI3wKuFhG7iIxD65O65WQ0KKXuVUplKKVy0M73I6XUdaOpQddRC1SKSI+D9jfQuuyNpo4KYKGIhOv35htA4Shr8GZI6erF3RYRWajrvx5f3E9PtoJgNH5o7n770Wq67hvhtM5AK2rsAnbqvwuBeLTKmAP6f5xXnPt0bUX4UOM2RD1L+aryZ9Q1ALOAAv16vAHEjrYO4H5gH7AbeB6t5nPENQAvoX3XdqHlfDcPJ11gnq79IPBnelWm9fUzPH8MDIKQUCjKGhicchiGaWAQhBiGaWAQhBiGaWAQhBiGaWAQhBiGaWAQhBiGaWAQhBiGaWAQhPwfvuAnNb8iuPIAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'S', 'OBF', 206, prior=trace1); plt.xlim(0, 1000);" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flows(trace2, 'OBFS', ['CCS', 'IC', 'CCBM', 'CCBT'],\n", " [646.7, 53.0, 32.8, 159.1], prior=trace1); plt.xlim(0, 800);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Bloom is well pinned down because it all goes to the section mill:" ] }, { "cell_type": "code", "execution_count": 56, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'bloom', 'SEM', 99.2, prior=trace1); plt.xlim(0, 400);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Billet goes to RBM and HSM" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flows(trace2, 'billet', ['RBM', 'HSM'], [442.2, 41.8], prior=trace1); plt.xlim(0, 800);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The RBM is well solved, since it mostly comes from billet, but the HSM mostly uses slab (which goes to the plate mill too)" ] }, { "cell_type": "code", "execution_count": 58, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flows(trace2, 'slab', ['PLM', 'HSM'], [132.0, 508.0], prior=trace1); plt.xlim(0, 800);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Most of the HSM input is slab, leaving little billet, whereas initially the split was assumed to be more equal (300ish). Did the prior distributions leave the possibility open enough that slab -> HSM would be so high?" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [ { "data": { "image/png": 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uty/p+mSv8aivyjZm0rljofH9a1yTKAc7F3iE1BNyZZ52GXBZfi7SPwGuBR4EZnVbdhzj+hLwFLAyP4bz9ENzha8CHu5DXPPzdleROjxmd1t2vOLKr+cBi1uW63V9LQI2AS+RWpeLe71/+Y4Fs0K+Y8GskJPIrJCTyKyQk8iskJPIrJCTyKyQk8iskJPIrND/A9wnZqgk7/gvAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(figsize=(3, 2))\n", "sns.distplot(trace1['param_slab'][:, 0], kde=False, ax=ax, norm_hist=True)\n", "sns.distplot(trace2['param_slab'][:, 0], kde=False, ax=ax, norm_hist=True)\n", "ax.axvline(508.0 / (508.0 + 132.0), c='k')\n", "ax.set(title='Fraction of slab going to HSM');" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The allocation looks fine -- before it was uniformly distributed, now it's estimated at 80%, which is about right. So the remaining uncertainty about the slab -> HSM flow must come from the CCS throughput, which comes from the OBF.\n", "\n", "How is the OBF output allocated?" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "shares1 = trace1['param_OBFS'][:, [0, 1, 2]] # ignore IC?\n", "shares1 /= shares1.sum(axis=1, keepdims=True)\n", "\n", "shares2 = trace2['param_OBFS'][:, [0, 1, 2]] # ignore IC?\n", "shares2 /= shares2.sum(axis=1, keepdims=True)\n", "\n", "from barycentric_plot import plot_points\n", "fig, ax = plt.subplots(1, 2, figsize=(6, 3))\n", "plot_points(shares1, ax=ax[0], labels=['CCS', 'CCBT', 'CCBM'])\n", "plot_points(shares2, ax=ax[1])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Definitely, very little to blooms. Slab/billet split is quite open, favours billets." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Posterior stage 2" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [], "source": [ "with model3.model:\n", " trace3 = pm.backends.text.load('traces/trace3')" ] }, { "cell_type": "code", "execution_count": 67, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "106af30addcc42e187417f33cdddbdae", "version_major": 2, "version_minor": 0 }, "text/plain": [ "VBox(children=(Button(description='Go', style=ButtonStyle()), SankeyWidget(groups=[{'id': '__scrap1_SP_0', 'ty…" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "animate_samples(processes, model3.possible_inputs, trace3, sdd, rescale=False)" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [], "source": [ "flows3 = flows_from_trace(processes, model3.possible_inputs, trace3)" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "c50e5dca54404c3ea1d9d871c854c402", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SankeyWidget(groups=[{'id': '__scrap1_SP_0', 'type': 'group', 'title': '', 'nodes': ['__scrap1_SP_0^*']}, {'id…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "show_variance(flows3, sdd, vlim=(0, 700), palette=palette).auto_save_png('figures/stage2_uncertainty_abs.png')" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "694acd6cc7924bdaa24e1b5c0d904bdb", "version_major": 2, "version_minor": 0 }, "text/plain": [ "SankeyWidget(groups=[{'id': '__scrap1_SP_0', 'type': 'group', 'title': '', 'nodes': ['__scrap1_SP_0^*']}, {'id…" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "show_variance(flows2, sdd, vlim=(0, 3), palette=palette, normed=True)" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [], "source": [ "import json\n", "with open('figures/stage1_uncertainty_abs.json', 'wt') as f:\n", " json.dump(save_variance(flows2, sdd, vlim=(0, 700), palette=palette), f)\n", "with open('figures/stage2_uncertainty_abs.json', 'wt') as f:\n", " json.dump(save_variance(flows3, sdd, vlim=(0, 700), palette=palette), f)" ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(3, 4, figsize=(9, 6), sharex=True, sharey=True)\n", "for j, tr in enumerate([trace1, trace2, trace3]):\n", " for i in range(4):\n", " sns.distplot(tr['param_OBFS'][:, i], ax=ax[j, i], kde_kws=dict(clip=(0, 1)));\n", " ax[0, i].set_title(processes['OBFS'].outputs[i])" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [], "source": [ "def plot_flows3(traces, src, tgt, ref=None, max=None):\n", " assert len(traces) == 3\n", " kde_kws = {}\n", " if max is not None:\n", " kde_kws['clip'] = (0, max)\n", " \n", " colours = ['xkcd:gray', 'xkcd:sage', 'steelblue']\n", " labels = ['Prior', 'Stage 1', 'Stage 2']\n", " \n", " fig, ax = plt.subplots(figsize=(4, 3))\n", " for tr, c, l in zip(traces, colours, labels):\n", " values = tr['F'][:, pidx(src), pidx(tgt)]\n", " #sns.distplot(values, color=c, kde_kws=kde_kws, ax=ax, label=l)\n", " sns.distplot(values, color=c, kde=False, norm_hist=True, hist_kws=dict(alpha=0.8), ax=ax, label=l)\n", " ax.set_title(u'{} → {}'.format(processes[src].name, processes[tgt].name))\n", " #ax.axvline(values.mean(), c='k', alpha=0.5)\n", " if ref is not None:\n", " ax.axvline(ref, c='r')\n", " if max is not None:\n", " ax.set_xlim(0, max)\n", " ax.set_yticks([])\n", " plt.legend()" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flows3([trace1, trace2, trace3], 'S', 'OBF', 0, max=1200)" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_flows3([trace1, trace2, trace3], 'IC', 'ingots', 88.7, max=2000)\n", "plt.savefig('figures/learning_flow_IC_ingots.png')" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [], "source": [ "def plot_alloc3(traces, src, tgt, ref=None, max=None):\n", " assert len(traces) == 3\n", " kde_kws = {}\n", " if max is not None:\n", " kde_kws['clip'] = (0, max)\n", " \n", " colours = ['gray', 'xkcd:sage', 'steelblue']\n", " labels = ['Prior', 'Stage 1', 'Stage 2']\n", " \n", " fig, ax = plt.subplots(figsize=(4, 3))\n", " for tr, c, l in zip(traces, colours, labels):\n", " j = processes[src].outputs.index(tgt)\n", " values = tr['param_{}'.format(src)][:, j]\n", " sns.distplot(values * 100, color=c, kde=False, norm_hist=True, hist_kws=dict(alpha=0.8), ax=ax, label=l)\n", " ax.set_title(u'{} → {}'.format(processes[src].name, processes[tgt].name))\n", " #ax.axvline(values.mean(), c='k', alpha=0.5)\n", " if ref is not None:\n", " ax.axvline(ref, c='r')\n", " if max is not None:\n", " ax.set_xlim(0, max)\n", " plt.legend(loc='best')\n", " ax.set_yticks([])\n", " ax.set_xticklabels(['0', '20', '40', '60', '80', '100%'])" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_alloc3([trace1, trace2, trace3], 'S', 'OBF', 36, max=100)" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_alloc3([trace1, trace2, trace3], 'S', 'EAF', 62, max=100)" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "image/png": "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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_alloc3([trace1, trace2, trace3], 'PI', 'OBF', 89, max=100)\n", "plt.savefig('figures/learning_alloc_PI_OBF.png')" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [], "source": [ "def plot_alloc3_subplots(traces, src, tgt, ref=None, max=None):\n", " assert len(traces) == 3\n", " kde_kws = {}\n", " if max is not None:\n", " kde_kws['clip'] = (0, max)\n", " \n", " colours = ['gray', 'xkcd:sage', 'steelblue']\n", " labels = ['Prior', 'Stage 1', 'Stage 2']\n", " \n", " fig, ax = plt.subplots(3, figsize=(4, 3), sharex=True, sharey=True)\n", " for a, tr, c, l in zip(ax, traces, colours, labels):\n", " j = processes[src].outputs.index(tgt)\n", " values = tr['param_{}'.format(src)][:, j]\n", " sns.distplot(values * 100, color=c, kde=False, bins=np.arange(0, 101, 5), norm_hist=True, hist_kws=dict(alpha=0.8), ax=a, label=l)\n", " a.set_ylabel(l)\n", " if ref is not None:\n", " a.axvline(ref, c='r')\n", " a.set_yticks([])\n", "\n", " fig.suptitle(u'{} → {}'.format(processes[src].name, processes[tgt].name))\n", " #ax.axvline(values.mean(), c='k', alpha=0.5)\n", " if max is not None:\n", " ax[0].set_xlim(0, max)\n", " #plt.legend(loc='best')\n", " ax[2].set_xticklabels(['0', '20', '40', '60', '80', '100%'])" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_alloc3_subplots([trace1, trace2, trace3], 'PI', 'OBF', 89, max=100)\n", "plt.savefig('figures/learning_alloc_PI_OBF_subplots.png')" ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig, ax = plt.subplots(3, 2, sharex='col', sharey='col', figsize=(6, 3))\n", "traces = [trace1, trace2, trace3]\n", "\n", "def distplot(x, ax):\n", " sns.distplot(x, ax=ax, kde=False, norm_hist=True, hist_kws=dict(alpha=1, lw=0))\n", "\n", "for i, tr in enumerate(traces):\n", " distplot(tr.param_PI[:, processes['PI'].outputs.index('OBF')] * 100, ax[i, 0])\n", " distplot(tr.F[:, pidx('IC'), pidx('ingots')], ax[i, 1])\n", " for j in range(len(ax[i])):\n", " ax[i, j].set_yticklabels([])\n", " ax[i, 0].axvline(89, color='k', lw=1, alpha=0.8, ymin=0, ymax=1.2 if i else 1, zorder=10, clip_on=False)\n", " ax[i, 1].axvline(88.7, color='k', lw=1, alpha=0.8, ymin=0, ymax=1.2 if i else 1, zorder=10, clip_on=False)\n", "\n", "ax[2, 0].annotate('Cullen et al.', (89, 1), xycoords=('data', 'axes fraction'), ha='right',\n", " fontsize=10)\n", "ax[2, 1].annotate('Cullen et al.', (120, 1), xycoords=('data', 'axes fraction'), ha='left',\n", " fontsize=10)\n", " \n", "ax[0, 0].set(title='Pig iron → Oxygen blown furnace', xlim=(0, 100))\n", "ax[0, 1].set(title='Ingot casting → Ingots', xlim=(0, 2000))\n", "ax[-1, 0].set(xlabel='Output fraction [%]')\n", "ax[-1, 1].set(xlabel='Flow [Mt]')\n", "ax[0, 0].set_ylabel('Prior', rotation=0, ha='right')\n", "ax[1, 0].set_ylabel('Stage 1', rotation=0, ha='right')\n", "ax[2, 0].set_ylabel('Stage 2', rotation=0, ha='right')\n", "fig.savefig('figures/learning_histograms.pdf', bbox_inches='tight');" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "anaconda-cloud": {}, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.10" } }, "nbformat": 4, "nbformat_minor": 1 }