{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "View results" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/rick/anaconda3/envs/bayesian-mfa-paper/lib/python3.6/site-packages/matplotlib/__init__.py:913: UserWarning: axes.color_cycle is deprecated and replaced with axes.prop_cycle; please use the latter.\n", " warnings.warn(self.msg_depr % (key, alt_key))\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": { "collapsed": true }, "outputs": [], "source": [ "from steel_processes import define_processes\n", "processes = define_processes()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": true }, "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": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "100" ] }, "execution_count": 4, "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": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "WARNING (theano.configdefaults): install mkl with `conda install mkl-service`: No module named 'mkl'\n" ] } ], "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": 6, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0d93642518014ca5bd5fc31075036f9e" } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "animate_samples(processes, model1.possible_inputs, trace1, sdd, rescale=True)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "3d1b9aff2e834f2ab929ca83a40d64b9" } }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "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": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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tXvh1P+wbHBM4nE5qrr0O7A76vvUg2T7rM7aEEMuPBI15FklNb7rt6fsiNsAg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\nCp3TWkluGHBZTYZ31ycpmvB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Cg1zWhbvYTCrrZjhvJ5F3cNizhjfy6yjWG9TkhlmV6j39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\nrkJggg==\n", "text/plain": [ "" ] }, "metadata": {}, "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": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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/eTvjzm7+yzd/yPs+egN9v/YPrqo+hBDXNgmKFlh7xdN00cKiipFIbOpzAgLO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\nAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "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": "b38a330258154a9d9df09f5ede2faede" } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "animate_samples(processes, model2.possible_inputs, trace2, sdd, rescale=False)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "collapsed": true }, "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": 13, "metadata": { "collapsed": true }, "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": 14, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "b5f300e9b0fe4db48621064f7e6b1af7" } }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "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": 15, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "7b995829bf1e423a90061af83c0851cc" } }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_variance(flows2, sdd, vlim=(0, 3), palette=palette, normed=True)" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/html": [ "" ], "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "%%html\n", "" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "collapsed": true }, "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": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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KSpQf+chH2LVr30KbockjbpfBsio3y6rcDMYytPSk6OxPs7sjwb7DCQZjWc5a\n6VtUTduiGhWpq6tbaBM0c0iZ38nGJh9vOjVgNWGBrftj3PWHPh55KULb0dSiWHOzqGpKzeLA63aw\npt7LyiXWI2SvHIixtzPJ3s4kteVO1jd6ObXBS5m/NGtPLUpNweJ0GGSzcOYKH/3DWVp6knQPZHj2\ntWGefW2YiqCD+koPm1Z5WRJ2jS57WOxoUWoKHsMwqAw6qQz6SaZNjgyk6epP0RfN0h+Ns7stjs9t\nUFfhoj7soq7CRVXISTjgxOUsPqHmJEql1BXAnYATuEtEvj7huBe4D9gEHAWuFZFm+9gXgJuADHCL\niDyRS5oazWR4XAaN1W4aq90k0yaDCZNkMkPr0RSHuq3PCAZQHnBQaU/NlPsdlAes7zK/k6C3MD2M\nZhSlUsoJfBd4K9YisFuVUo+IyGtjgt0E9InIWqXUdcDtwLVKqQ1Y61luBBqAp5RSp9hxZkpTo5kW\nj8ugIeQmEU+ztNJNKm0SiWUYjNlOC7bDwsBwCsaIdQTDAJ/bwO9x4HMbrKj12MJ1UO53EvI5FqSm\nzaWmPB/YJyIHAJRSDwCbsdacHGEz8BV7+yHgv5VShr3/ARFJAAft9SvPt8PNlKZGMyvcLoPqMhfV\nE57zTGdMhpNZ4kmTeMr6jqVGfpuj7oAdfcc7QgS8BgGP5b/r9xj2t7XtcRq4nAZup8HFeTyPXES5\nDGgd87sNeN1UYUQkrZQaAKrt/c9PiLvM3p4pTY0mL7icBuV+J+VT+CFkspY4GypdRGJZq7YdzhKJ\nZRmKZxiMZ+kZzEwe2eaD1+bR3hzCTFZ/T5wsmirMVPsnmx/NZQLKuPjiC8ftuHimGDdafni35JD4\nXHHLjZcuYO6aYiMX54E2oGnM70Zg4hrdo2GUUi4gDPROEzeXNDWaRUkuNeVWYJ1SahXQjjVw874J\nYR4BbgT+ClwDPC0iplLqEeDnSqlvYA30rANexKpBZ0pTo1mUzFhTikga+CjwBLALeFBEdiqlblNK\nXW0HuxuotgdyPgV83o67E3gQawDnceBmEclMlWZ+T02jKU6MxeBLqNEUE0XlkK7RLAa0KDWaAqMo\nfF/nyyVPKdWE5S5YD2SBH4rInUqpKuAXwEqgGXiviPTZDhJ3Au8AhoF/FJFX8miPE3gJaBeRK+2B\nsQeAKuAV4AYRSU7n5niS+VcAdwGnYU1Z/Q9AmOeyUEp9EviQbcMO4IPAUua4LJRSPwauBI6IyGn2\nvllfC0qN6ZfbAAADUUlEQVSpG4Ev2cl+VUTunS7fgq8px7j5vR3YAFxvu+/NBWng0yKyHrgAuNnO\n6/PAH0RkHfAH+ze2Tevsz4eB7+fZno9jDYSNcDvwTduOPiz3Rhjj5gh80w6XD+4EHheRU4EzbVvm\ntSyUUsuwppnPtYXhxBqtn4+yuAe4YsK+WZ2/LeJbsZxjzgduVUpNvUYgRSBKxrj5iUgS6+64eS4y\nEpHOkbubiAxiXYTL7PxG7m73Au+ytzcD94mIKSLPAxVKqaX5sEUp1Qi8E6umwr4TX4LlxjiZHSP2\nPQRcaoc/mfzLgYuwRtYRkaSI9LMAZYHVovPbc+ABoJN5KAsReRZrvn0ssz3/twG/F5FeEekDfs/x\nQh9HMYhyMje/ZVOEzRtKqZXA2cALQJ2IdIIlXGDJPNj2LeBzWM1osNwW++3ppIl5jXNzBEbcHE+G\n1UA38BOl1Dal1F1KqSDzXBYi0g7cAbRgiXEAeJn5LYuxzPb8Z10uxSDKXNz88opSKgT8EviEiESm\nCTontimlRvoxL+eY11zY4QLOAb4vImcDUY411SZjrsqiEqsWWoXlgBLEaipOlde8Xy8z5Dtre4pB\nlPPqkqeUcmMJ8mci8rC9+/BIU8z+PjLHtl0IXK2UasZqrl+CVXNW2E24iXlN5eZ4MrQBbSLygv37\nISyRzndZXAYcFJFuEUkBDwNvYH7LYiyzPf9Zl0sxiHLUzU8p5cHq5D8yFxnZfY+7gV0i8o0xh0bc\nCLG/fz1m/weUUoZS6gJgYKRpczKIyBdEpFFEVmKd79Mi8n7gj1hujJPZMWLfqJvjSdrQBbQqpZS9\n61Isz6x5LQusZusFSqmA/f+M2DFvZTGB2Z7/E8DlSqlKu9a/3N43JQU/JWI/CjbikucEfjyHLnkX\nAjcAO5RS2+19XwS+DjyolLoJ6yJ5j33sUawh8H1Yw+AfnCO7RvhX4AGl1FeBbdiDMPb3T203x14s\nIeeDjwE/s2+GB7DOz8E8loWIvKCUeghr2iONdd4/BH7HHJeFUup+rAeRapRSbVijqLO6FkSkVyn1\nH1iVC8BtIjJtza3d7DSaAqMYmq8azaJCi1KjKTC0KDWaAkOLUqMpMLQoNZoCQ4tSoykwtCg1mgJD\ni1KjKTD+PylZ/UTJJdBcAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'IC', 'ingots', 89, prior=trace1); plt.xlim(0, 1000);" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'BF', 'PI', 928.4, prior=trace1); plt.xlim(0, 2000);" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "image/png": 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O83zwwe/x7LNP0d3dGVcbEw1dUqYIR5onLziWm2GnayjMy/VjXL0hvpvLGoZB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\nTYKhRanRJBhalBpNgqFFqdEkGP8fcV88GIP8BTwAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'S', 'EAF', 351, prior=trace1); plt.xlim(0, 1000);" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "image/png": 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5969W868P7eNt2UWWM4XCnOScocIQZYwJhVVePzmMosA1yxNzRTCrPQNL0VpG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\nuSSDKM+G+QkhbGiN/O0zcSK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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_flow(trace2, 'S', 'OBF', 206, prior=trace1); plt.xlim(0, 1000);" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "image/png": 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Qsyq0BhugJOQFYFTqsIUQ65Qk2EIIIWZVyEyOk0J+NwDjifRShyOEEGuCa7UD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\nWxAEQRAEQRAmyP8BuuxlZYpzkFsAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "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": 23, "metadata": {}, "outputs": [ { "data": { "image/png": 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03XZ++0QbVeEQbzqiOM/imxtc89Q8nJGPaS+4Le29DA7HOXJJCzXjmA1QCCkP122CM/Iw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\nOMMoIf8PwndVHFn4f0MAAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "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": 24, "metadata": {}, "outputs": [ { "data": { "image/png": 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PUFhVHqSqPMjV28oZGovRPThB98Ak3QMTvHK0ZyZdeZGfzVUR6taFcbtWVffq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\nEEIIkZEECSGEEBn9/19giT5vaJBwAAAAAElFTkSuQmCC\n", "text/plain": [ "" ] }, "metadata": {}, "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": 25, "metadata": {}, "outputs": [ { "data": { "image/png": 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48DKcBFGPicgBY0xhTvS3AIPGmCtE5A7g/cDrRWQvztTu+3DygXxPRK7Emdr9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\n", "text/plain": [ "" ] }, "metadata": {}, "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": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "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": 27, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/rick/Dropbox/useless/Projects/Bayesian Sankeys/5. Case study - global steel/bayesian-mfa-mcmc/barycentric_plot.py:43: MatplotlibDeprecationWarning: axes.hold is deprecated.\n", " See the API Changes document (http://matplotlib.org/api/api_changes.html)\n", " for more details.\n", " ax.hold(1)\n" ] }, { "data": { "image/png": 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V0oaIfmn9lhuWUN/UnaHTzYyRvE05sadPiWfSLDOyJyCcriLly8nClsJ1sm6U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\n", "text/plain": [ "" ] }, "metadata": {}, "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": 28, "metadata": {}, "outputs": [], "source": [ "with model3.model:\n", " trace3 = pm.backends.text.load('traces/trace3')" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "0491690a0a3c4ecc8947459dcaff2bd0" } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "animate_samples(processes, model3.possible_inputs, trace3, sdd, rescale=False)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "collapsed": true }, "outputs": [], "source": [ "flows3 = flows_from_trace(processes, model3.possible_inputs, trace3)" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4baf9cc7d6a5450fa35c5a2cff860297" } }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "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": 32, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "af4006248e244eccb72c90de09ea0ee9" } }, "metadata": {}, "output_type": "display_data" }, { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "show_variance(flows2, sdd, vlim=(0, 3), palette=palette, normed=True)" ] }, { "cell_type": "code", "execution_count": 33, "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": 34, "metadata": {}, "outputs": [ { "data": { "image/png": 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+sF0NlxJx7D7cyPsHG4jyuFk6L4Orz5lNb7+PfUeaeXtXFU+tP8zbu6q57erTnBZViUDU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\nck1v/4nfAVYvy8Mca+FgRQs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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_flow([trace2, trace3], 'OBFS', 'CCS', 646)" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "image/png": 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bqcsR2fQ0RCIiVWFidmHl/Z7B2RJWIiKggCEiVWJqLrXyft9YooSViAgoYIhI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\ntJJEpKjWFTAKHrMsa8KB44iIrMmNlqm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"text/plain": [ "" ] }, "metadata": {}, "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": 36, "metadata": { "collapsed": true }, "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": 37, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_flows3([trace1, trace2, trace3], 'S', 'OBF', 0, max=1200)" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "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": 39, "metadata": { "collapsed": true }, "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": 40, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_alloc3([trace1, trace2, trace3], 'S', 'OBF', 36, max=100)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot_alloc3([trace1, trace2, trace3], 'S', 'EAF', 62, max=100)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "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": 43, "metadata": { "collapsed": true }, "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": 44, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "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": 45, "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "" ] }, "metadata": {}, "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');" ] } ], "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": "3.6.1" } }, "nbformat": 4, "nbformat_minor": 1 }