{ "metadata": { "name": "", "signature": "sha256:b5ad6b6c310fb755f6dc0833becb77efbfbb454f9862f19be1289bee222612d0" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "

HNSCC HPV- Cohort TP53 Mutation Exploration

" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we conduct a general expration of TP53 mutations within the HNSCC discovery cohort. While we try and remain unbiased in our screen for molecular coorelates of survival, we do have much more information on TP53 mutations than most others. \n", "\n", "In [Poeta](http://www.ncbi.nlm.nih.gov/pubmed/18094376), a TP53 mutation is labeled as disruptive if it is either a stop mutation, or if is located at a binding site and induces a change in polarity of the encoded amino acid. Interestingly, we found that the polarity of the substitution had little effect on prognosis and that patients with a mutation to the L2 binding site had worse outcomes than patients with a mutation to the L3 binding site. In addition, within the context of the framework we set forth for biomarker discovery, we chose to ignore the classification of mutations (past silent/non-silent) in order to keep sample size high at the risk of false positives. For these reasons we elected to simply display the functional assignment of the mutations in Figure 1 rather than obscure these results with a classification scheme." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "####Import Data and Packages \n", "For full list of data and packages imported see the [Imports](../Analysis_Notebooks/Imports.ipynb) notebook." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import NotebookImport\n", "from Imports import *" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "importing IPython notebook from Imports.ipynb\n", "Populating the interactive namespace from numpy and matplotlib" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "changing to source dirctory" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "populating namespace with data" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 1 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "TP53 Mutation Clinical Coorelates" ] }, { "cell_type": "code", "collapsed": false, "input": [ "p53_mut = mut.df.ix['TP53'].ix[keepers_o].dropna().astype(int)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(p53_mut, surv, figsize=(5,4), order=[2,1,0])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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6dB1g0WraqvOKK0AkBrAwbn77LUKyKL1N+vDhw7NlBkIgiIOCgn5XRgzYJq2d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\nOP5nnQQCAEBwmwzBoQfA8mbNjb1gbzs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"text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "screen_feature(p53_mut>0, kruskal_pandas, clinical.processed.T).head()" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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Hpq
spread_inferred 7.65 0.01 0.06
smoker_inferred 7.39 0.01 0.06
drinker_inferred 6.45 0.01 0.07
invasion_inferred 4.91 0.03 0.12
post_2000 0.69 0.41 1.00
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 4, "text": [ " H p q\n", "spread_inferred 7.65 0.01 0.06\n", "smoker_inferred 7.39 0.01 0.06\n", "drinker_inferred 6.45 0.01 0.07\n", "invasion_inferred 4.91 0.03 0.12\n", "post_2000 0.69 0.41 1.00" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "ecs = clinical.clinical.presenceofpathologicalnodalextracapsularspread\n", "ecs.name = 'Extra Capsular Spread'\n", "pd.crosstab(p53_mut>0, ecs).T.plot(kind='bar', rot=15)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 5, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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L/PAFSj+7vJ/RPD3zpZ4069atg/T0dLCxsQE5OTnYvXs3zJo16+PzK1Y03T9y6dKlUFxc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\nwzDII4QQD8MgjxBCPAyDPEII8TAM8ui7MBgMjoC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"text": [ "" ] } ], "prompt_number": 5 }, { "cell_type": "heading", "level": 1, "metadata": {}, "source": [ "TP53 Mutation Functional Assessment" ] }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Classification by functional domains" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "It is important to note, that here a patient with multiple mutation is counted multiple times." ] }, { "cell_type": "code", "collapsed": false, "input": [ "import re as re\n", "get_nums = lambda s: re.findall(r'\\d+', s)\n", "\n", "def is_disruptive(v):\n", " c = v.Variant_Classification\n", " if c != 'Missense_Mutation':\n", " if 'Ins' in c or 'Del' in c:\n", " return 'InDel'\n", " else:\n", " return v.Variant_Classification.split('_')[0]\n", " else:\n", " s = v.Protein_Change\n", " aa = int(get_nums(s)[0])\n", " if int(aa) in range(163,196):\n", " return 'L2'\n", " if int(aa) in range(236, 252):\n", " return 'L3'\n", " return 'other'" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "p53 = FH.get_submaf(run.data_path, cancer.name, ['TP53'], fields='All').ix['TP53']" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "dd = p53.apply(is_disruptive, 1)\n", "dd = dd.replace('Silent',nan).dropna()\n", "p53 = p53.ix[dd.index]\n", "others = keepers_o.diff(p53.Tumor_Sample_Barcode.ix[dd.index]).intersection(mut.df.columns)\n", "dd.index = p53.Tumor_Sample_Barcode.ix[dd.index]\n", "dd = pd.concat([pd.Series('WT', others), dd])\n", "dd = dd[[i in keepers_o for i in dd.index]]\n", "pc = pd.Series(list(p53.Protein_Change), index=p53.Tumor_Sample_Barcode)\n", "pc = pd.concat([pd.Series('WT', others), pc])\n", "pc = pc[[i in keepers_o for i in pc.index]]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "s2 = surv.unstack().ix[dd.index]\n", "s2.index = range(len(dd))\n", "s2 = s2.stack()\n", "pats = pd.Series(dd.index, range(len(dd)))\n", "dd.index = range(len(dd))\n", "pc.index = range(len(dd))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "df = pd.concat([pats, pc, dd, s2[:,'days'], s2[:,'event']],\n", " keys=['patient ID','Functional Class','Protien Change',\n", " 'Days to Death/Censoring', 'Death Indicator'],\n", " axis=1).sort(['patient ID'])\n", "df = df.set_index('patient ID')\n", "df.to_csv(FIGDIR + 'fig2b.csv')" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 10 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Figure 2b" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fig, ax = subplots(figsize=(3.5,2.7))\n", "c={'WT': 'grey', 'Splice':colors[0], 'other': colors[5], 'L3': colors[1], 'L2':colors[2],\n", " 'Nonsense': colors[3], 'InDel': colors[4]}\n", "draw_survival_curve(dd, s2, colors=c, ax=ax)\n", "ax.legend().set_visible(False)\n", "prettify_ax(ax)\n", "fig.tight_layout()\n", "fig.savefig(FIGDIR + 'fig2b.pdf', transparent=True)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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Nm4mJiXB0dET//v1VlicnJwf379/H5Mma/X7z8vKQnp6OiIgIjbarBKW77IjSN5NmKz0A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\nyQGafl5bQzoOfsL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CwHU6ACB/35/Q+/ADcDTQ8KGsjyPTmTNn0Lp1a7i4uOD777/HtGnTcO3aNXTt2hUpKSkY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\nlJS00NXV9bSUlFT1pEmTSpctW/awN19Ef39/d3SBhVM8dPfNli1bgjQ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"text": [ "" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
Differing survival rates were observed depending on the TP53 protein domain affected by the mutation or its predicted functional status16 (log-rank P = .04, Extended Data Fig. 2).
" ] }, { "cell_type": "code", "collapsed": false, "input": [ "get_surv_fit_lr(s2, dd[dd!='WT'])" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StatsMedian Survival5y SurvivalLog-Rank
# Patients# EventsMedianLowerUpperSurvLowerUpperchi2p
11.9 0.036
other 78 30 4 2.5 NaN 0.476 0.351 0.647
InDel 48 19 3.53 1.5 NaN 0.421 0.262 0.676
Nonsense 34 18 1.6 1.25 NaN 0.333 0.19 0.585
L3 31 12 2.16 1.5 NaN 0.229 0.0518 1
L2 30 18 1.08 0.986 NaN 0.251 0.124 0.512
Splice 17 10 1.43 0.767 NaN 0.247 0.0842 0.724
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ " Stats Median Survival 5y Survival Log-Rank \n", " # Patients # Events Median Lower Upper Surv Lower Upper chi2 p\n", " 11.9 0.036\n", "other 78 30 4 2.5 NaN 0.476 0.351 0.647 \n", "InDel 48 19 3.53 1.5 NaN 0.421 0.262 0.676 \n", "Nonsense 34 18 1.6 1.25 NaN 0.333 0.19 0.585 \n", "L3 31 12 2.16 1.5 NaN 0.229 0.0518 1 \n", "L2 30 18 1.08 0.986 NaN 0.251 0.124 0.512 \n", "Splice 17 10 1.43 0.767 NaN 0.247 0.0842 0.724 " ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Bar Plot of Hazard Ratios for Supplement" ] }, { "cell_type": "code", "collapsed": false, "input": [ "dd = dd.replace('WT', 'aWT')\n", "f = get_cox_ph(s2, dd, interactions=False)\n", "ci = convert_robj(robjects.r.summary(f)[7])\n", "ci.index = map(lambda s: s[7:], ci.index)\n", "n = ci.ix[0]*0 +1\n", "n.name = 'WT'\n", "ci = ci.append(n)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "fig, ax = subplots(figsize=(7,4))\n", "ci = ci.sort('exp(coef)')\n", "haz = ci['exp(coef)']\n", "b = haz.plot(kind='bar', ax=ax,\n", " yerr=[haz - ci['lower .95'], ci['upper .95'] - haz], ecolor='black', \n", " rot=0, color=['grey', colors[5], colors[4], colors[0], colors[3],\n", " colors[2], colors[1]])\n", "prettify_ax(ax)\n", "ax.set_ylabel('Hazard Ratio')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 15, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 15 }, { "cell_type": "markdown", "metadata": {}, "source": [ "P-values for Bar Comparisons" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from itertools import combinations" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 16 }, { "cell_type": "code", "collapsed": false, "input": [ "sig = pd.Series({c: get_cox_ph_ms(s2, dd[dd.isin(c)], interactions=False)['LR']\n", " for c in combinations(dd.unique(),2)})\n", "sig.order()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 17, "text": [ "aWT L2 4.06e-05\n", " Nonsense 1.83e-03\n", " Splice 2.61e-03\n", "L2 other 4.88e-03\n", "aWT L3 1.18e-02\n", " InDel 1.68e-02\n", " other 2.74e-02\n", "InDel L2 3.58e-02\n", "L3 L2 4.35e-02\n", "Splice other 8.19e-02\n", "Nonsense other 1.26e-01\n", " L2 1.57e-01\n", "InDel Splice 2.21e-01\n", "Splice L3 2.73e-01\n", "InDel Nonsense 3.87e-01\n", "L3 other 4.57e-01\n", "Nonsense Splice 5.59e-01\n", " L3 5.66e-01\n", "InDel other 6.00e-01\n", "Splice L2 6.11e-01\n", "InDel L3 8.93e-01\n", "dtype: float64" ] } ], "prompt_number": 17 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "Classification of Mutations via Poeta et. al." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* http://www.ncbi.nlm.nih.gov/pubmed/18094376 \n", "* In this paper the authors sequence TP53 for 420 patients. \n", "* They classify a mutation as disruptive or non-disruptive if it: \n", " a) contains a stop mutation \n", " b) occurs at a binding site AND encodes an amino acid with a different polarity " ] }, { "cell_type": "code", "collapsed": false, "input": [ "lo = pd.read_csv('../Extra_Data/amino_acids.csv', index_col=1)\n", "lo = lo.groupby(level=0).first()\n", "def is_disruptive(s):\n", " if s.endswith('*'):\n", " return True\n", " if s.endswith('splice'):\n", " return False\n", " if 'fs' in s:\n", " return False\n", " \n", " aa = s[3:-1]\n", " try:\n", " if int(aa) in range(163,196) + range(236, 252):\n", " if lo.Polarity[s[2]] != lo.Polarity[s[-1]]:\n", " return True\n", " except:\n", " pass\n", " return False" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": [ "p53 = FH.get_submaf(run.data_path, cancer.name, ['TP53'], fields='All').ix['TP53']\n", "status = pd.concat([combine(p53.Protein_Change.map(is_disruptive), p53.is_silent==0), \n", " p53.Tumor_Sample_Barcode], axis=1, \n", " keys=['status','barcode'])\n", "status = status.set_index('barcode')['status']\n", "status = (status == 'both').groupby(level=0).sum().clip_upper(1.)\n", "status = status.ix[mut.df.columns].fillna(-1).map({-1:'WT',0:'Non-Disruptive',1:'Disruptive'})\n", "status = status.ix[keepers_o]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(status, surv, colors=colors[:6] + ['grey'] + colors[6:], figsize=(7,5))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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Xay2yszInoveH36k63j15KaxQ4lc938fKeADGATV5I1VYWGhhYWFhsGnJUJM3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\nOjk5JbV3GT///PMuc3PzF999990J2c+hF7qWhYeHI3ZQEJr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"text": [ "" ] } ], "prompt_number": 20 }, { "cell_type": "code", "collapsed": false, "input": [ "get_surv_fit_lr(surv, status[status.isin(['Non-Disruptive', 'WT'])])" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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StatsMedian Survival5y SurvivalLog-Rank
# Patients# EventsMedianLowerUpperSurvLowerUpperchi2p
8.12 0.00437
Non-Disruptive 140 61 2.58 1.71 NaN 0.4 0.299 0.534
WT 45 10 NaN 4.71 NaN 0.664 0.494 0.893
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 21, "text": [ " Stats Median Survival 5y Survival Log-Rank \n", " # Patients # Events Median Lower Upper Surv Lower Upper chi2 p\n", " 8.12 0.00437\n", "Non-Disruptive 140 61 2.58 1.71 NaN 0.4 0.299 0.534 \n", "WT 45 10 NaN 4.71 NaN 0.664 0.494 0.893 " ] } ], "prompt_number": 21 }, { "cell_type": "heading", "level": 3, "metadata": {}, "source": [ "Modified Classification of Mutations via Poeta et. al. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* I find that the polarity of the mutation has no effect\n", "* I am also including splice-sites as disruptive \n", "* This introduces many more disruptive mutations and results in a larger effect size\n", "* In the manuscript we note that \"Notably, patients with mutations predicted as non-disruptive of function nonetheless had worse prognosis than patients with wild-type TP53\", thus we feel that using this modified metric is more conservative for this particular statistic, the p-value would be more extreme for the traditional definition" ] }, { "cell_type": "code", "collapsed": false, "input": [ "def is_disruptive_mod(s):\n", " if s.endswith('*'):\n", " return True\n", " if s.endswith('splice'):\n", " return True\n", " if 'fs' in s:\n", " return False\n", " \n", " aa = s[3:-1]\n", " try:\n", " if int(aa) in range(163,196) + range(236, 252):\n", " return True\n", " except:\n", " pass\n", " return False" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 22 }, { "cell_type": "code", "collapsed": false, "input": [ "p53 = FH.get_submaf(run.data_path, cancer.name, ['TP53'], fields='All').ix['TP53']\n", "status = pd.concat([combine(p53.Protein_Change.map(is_disruptive_mod), p53.is_silent==0), \n", " p53.Tumor_Sample_Barcode], axis=1, \n", " keys=['status','barcode'])\n", "status = status.set_index('barcode')['status']\n", "status = (status == 'both').groupby(level=0).sum().clip_upper(1.)\n", "status = status.ix[mut.df.columns].fillna(-1).map({-1:'WT',0:'Non-Disruptive',1:'Disruptive'})\n", "status = status.ix[keepers_o]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(status, surv, colors=colors[:6] + ['grey'] + colors[6:], figsize=(7,5))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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bRurQYWQTFPRfkz2ZZpB/nw10KiNi+QCt5ANgrKoa5NEnb6Ru3brV+cyZMwNP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\nuiGTyZT//vvvnyivhYeH+5qbm4u///7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ubnFfffXVql9//fUzZc11ypQpfyxZsmRFZmZm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\njx4Nl+6cB6PQIXT27Fl0YNkytIDY9nfhtIYGJBzviCKjo7s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"text": [ "" ] } ], "prompt_number": 24 }, { "cell_type": "markdown", "metadata": {}, "source": [ "
Notably, patients with mutations predicted as non-disruptive of function nonetheless had worse prognosis than patients with wild-type TP53.
" ] }, { "cell_type": "code", "collapsed": false, "input": [ "f = get_cox_ph(surv, status[status.isin(['Non-Disruptive', 'WT'])]=='Non-Disruptive', interactions=False, \n", " print_desc=True);" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n", " coef exp(coef) se(coef) z p\n", "feature 0.79 2.2 0.353 2.24 0.025\n", "\n", "Likelihood ratio test=5.81 on 1 df, p=0.0159 n= 150, number of events= 52 \n", "\n" ] } ], "prompt_number": 25 }, { "cell_type": "code", "collapsed": false, "input": [ "exp(.79), exp(.79) - exp(.79 - .353)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 26, "text": [ "(2.2033964262559369, 0.65534034919959683)" ] } ], "prompt_number": 26 }, { "cell_type": "heading", "level": 2, "metadata": {}, "source": [ "TP53 Mutation Hotspots in HNSCC" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "* I also threw in a plot of the frequent mutations as well, can't get alot from it but it shows that they do matter, even though we don't have the power to really say anything else.\n", "* When we start looking across multiple cancers, or have 1000 person cohorts, we may be able to extract some meaningfull information by looking at the effects of individual mutations but that is a ways off. " ] }, { "cell_type": "code", "collapsed": false, "input": [ "cc = p53.set_index('Tumor_Sample_Barcode').Protein_Change\n", "cc = pd.concat([pd.Series('WT', others), cc])\n", "cc = cc[cc.isin(true_index(cc.value_counts() > 5))] \n", "s2 = surv.unstack().ix[cc.index]\n", "s2.index = range(len(cc))\n", "s2 = s2.stack()\n", "cc.index = range(len(cc))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 27 }, { "cell_type": "code", "collapsed": false, "input": [ "survival_and_stats(cc, s2, colors=['grey'] + colors, figsize=(7,5))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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JAwAAqCgkeQAAABWFJA8AAKCikOQBAABUFJI8AACAikKSBwAAUFFI8gAAACoK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\nVlZF/flsVlaWk7m5+dPBimVQ4f14AZQPu3A4HEM1NTUJi8W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