From 3056d7a88c579f21861d0d7b94342381af6b16da Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Tue, 10 Dec 2024 14:01:59 -0800 Subject: [PATCH] remove .DS_Store and add it correctly to gitignore --- .DS_Store | Bin 6148 -> 0 bytes .gitignore | 2 +- sensitivity_analysis.ipynb | 164 +++++++++++++++++++++++++++++++++++++ 3 files changed, 165 insertions(+), 1 deletion(-) delete mode 100644 .DS_Store create mode 100644 sensitivity_analysis.ipynb diff --git a/.DS_Store b/.DS_Store deleted file mode 100644 index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# merged_means_micro.sort_values(\"fpg_mmol\", ascending=False)\n", + "ex1 = \"location_id==147 and year_id==1990 and age_cat==60\"\n", + "ex2 = \"location_id==147 and year_id==1990 and age_cat==60\"\n", + "subset = name.query(\"location_id==145 and year_id==2006 and sex_id==1 and age_cat==60\")\n", + "plt.hist(subset[\"fpg_mmol\"], density=True)# , weights=subset[\"sample_weight\"])\n", + "DISTRIBUTIONS = [\"gamma\", \"invgamma\", \"lognormal\", \"fisk\"]\n", + "model = EnsembleFitter(DISTRIBUTIONS, \"KS\")\n", + "# print(subset[\"fpg_mmol\"].values)\n", + "res = model.fit(subset[\"fpg_mmol\"].values)\n", + "support = np.linspace(0, 20, 1000)\n", + "plt.plot(support, res.ensemble_distribution.pdf(support))\n", + "# print(merged_means_est.shape)\n", + "# print(tmap.columns)\n", + "# print(merged_means_micro.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# merged_means_est.query(\"location_id==145 and year_id==2006 and sex_id==1 and age_cat==60\")" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(merged_means_est[\"means\"], merged_means_micro[\"fpg_mmol\"])" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ensemble", + "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": "3.12.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}