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Pythonを使用して論文の図を作る人のためのチュートリアルです。データをプロットし、統計検定を行い、有意差を線で表示します。コードについての説明は https://ushitora.net/archives/5158 を参照してください。
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "7e4aa8c0-9bf3-47e0-93a1-e1edb763bb13",
"metadata": {},
"outputs": [],
"source": [
"from matplotlib import pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd\n",
"from scipy import stats\n",
"from statsmodels.stats.anova import AnovaRM\n",
"from statsmodels.stats.multicomp import pairwise_tukeyhsd"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "b6c76b03-462a-4173-b7f7-a9845942226c",
"metadata": {},
"outputs": [],
"source": [
"drug_name = [\"A\", \"B\", \"C\"]"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "d927ec3b-e55e-4305-9054-ff1f4a3b3321",
"metadata": {},
"outputs": [],
"source": [
"np.random.seed(1)\n",
"data = np.array([np.random.normal(loc=i, scale=1, size=10) for i in [0.2, -1, 0.5]]).T\n",
"ns, nd = data.shape"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "bd5b0194-2087-450d-938a-b28a8facc8f4",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 400x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(4, 3))\n",
"mu = data.mean(axis=0)\n",
"sem = stats.sem(data)\n",
"for i in range(3):\n",
" plt.errorbar(i, mu[i], yerr=sem[i], fmt=\"o\", markersize=10, capsize=5, ecolor=\"k\", markeredgecolor=\"k\")\n",
"plt.xlim(-0.5, 2.5)\n",
"plt.xticks(np.arange(3), drug_name)\n",
"plt.ylabel(\"score\")\n",
"plt.tight_layout()\n",
"plt.savefig(\"errorbar.png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b1409345-9960-4ed7-bfec-26cce07a33df",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 400x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(4, 3))\n",
"mu = data.mean(axis=0)\n",
"sem = stats.sem(data)\n",
"for i in range(3):\n",
" plt.errorbar(i, mu[i], yerr=sem[i], fmt=\"o\", markersize=10, capsize=5, ecolor=\"k\", markeredgecolor=\"k\")\n",
"plt.scatter(np.tile(np.arange(nd), ns), data.reshape(-1), s=20, edgecolors=[\"k\" for _ in range(nd)], c=\"w\")\n",
"plt.xlim(-0.5, 2.5)\n",
"plt.xticks(np.arange(nd), drug_name)\n",
"plt.ylabel(\"score\")\n",
"plt.tight_layout()\n",
"plt.savefig(\"errorbar_scatter.png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "2270da74-501e-4b8d-a697-8d37aead47c6",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 400x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(4, 3))\n",
"mu = data.mean(axis=0)\n",
"sem = stats.sem(data)\n",
"for i in range(3):\n",
" plt.errorbar(i, mu[i], yerr=sem[i], fmt=\"o\", markersize=10, capsize=5, ecolor=\"k\", markeredgecolor=\"k\", zorder=0)\n",
"plt.scatter(np.tile(np.arange(nd), ns), data.reshape(-1), s=20, edgecolors=[\"k\" for _ in range(nd)], c=\"w\", zorder=1)\n",
"plt.xlim(-0.5, 2.5)\n",
"plt.xticks(np.arange(nd), drug_name)\n",
"plt.ylabel(\"score\")\n",
"plt.tight_layout()\n",
"plt.savefig(\"errorbar_scatter_zorder.png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "946abccd-c6b5-419a-af85-1083666363e3",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 400x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(4, 3))\n",
"mu = data.mean(axis=0)\n",
"sem = stats.sem(data)\n",
"for i in range(3):\n",
" plt.errorbar(i, mu[i], yerr=sem[i], fmt=\"o\", markersize=10, capsize=5, ecolor=\"k\", markeredgecolor=\"k\")\n",
" plt.scatter(np.random.normal(loc=0, scale=0.05, size=data.shape[0]) + i, data[:, i], s=3)\n",
"plt.xlim(-0.5, 2.5)\n",
"plt.xticks(np.arange(3), drug_name)\n",
"plt.ylabel(\"score\")\n",
"plt.tight_layout()\n",
"plt.savefig(\"errorbar_scatter_normal.png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "cc7b6aab-5d07-41cc-887f-6328da4737fd",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 400x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(4, 3))\n",
"mu = data.mean(axis=0)\n",
"sem = stats.sem(data)\n",
"for i in range(3):\n",
" plt.errorbar(i, mu[i], yerr=sem[i], fmt=\"o\", markersize=10, capsize=5, ecolor=\"k\", markeredgecolor=\"k\")\n",
"plt.plot(data.T, c=\"k\", alpha=0.2)\n",
"plt.xlim(-0.5, 2.5)\n",
"plt.xticks(np.arange(3), drug_name)\n",
"plt.ylabel(\"score\")\n",
"plt.tight_layout()\n",
"plt.savefig(\"errorbar_plot.png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "19863567-bd2f-46f1-a573-a5397b43df41",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>ID</th>\n",
" <th>drug</th>\n",
" <th>score</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>0</td>\n",
" <td>A</td>\n",
" <td>1.824345</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>0</td>\n",
" <td>B</td>\n",
" <td>0.462108</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0</td>\n",
" <td>C</td>\n",
" <td>-0.600619</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>1</td>\n",
" <td>A</td>\n",
" <td>-0.411756</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>1</td>\n",
" <td>B</td>\n",
" <td>-3.060141</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>1</td>\n",
" <td>C</td>\n",
" <td>1.644724</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" ID drug score\n",
"0 0 A 1.824345\n",
"1 0 B 0.462108\n",
"2 0 C -0.600619\n",
"3 1 A -0.411756\n",
"4 1 B -3.060141\n",
"5 1 C 1.644724"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df = pd.DataFrame({\"ID\": np.repeat(np.arange(ns), nd),\n",
" \"drug\": np.tile(drug_name, ns),\n",
" \"score\": data.reshape(-1)})\n",
"df[:6] # 上から6つ目までを表示"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "52e0c217-2ff6-47e0-b2a1-3a751aadda78",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" Anova\n",
"==================================\n",
" F Value Num DF Den DF Pr > F\n",
"----------------------------------\n",
"drug 9.0438 2.0000 18.0000 0.0019\n",
"==================================\n",
"\n"
]
}
],
"source": [
"anova = AnovaRM(data=df, depvar=\"score\", subject=\"ID\", within=[\"drug\"]).fit()\n",
"print(anova)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "328c358a-4fbc-4476-bd65-813bb5b40717",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Multiple Comparison of Means - Tukey HSD, FWER=0.05 \n",
"====================================================\n",
"group1 group2 meandiff p-adj lower upper reject\n",
"----------------------------------------------------\n",
" A B -1.2724 0.0314 -2.4451 -0.0998 True\n",
" A C 0.4841 0.5688 -0.6886 1.6567 False\n",
" B C 1.7565 0.0026 0.5838 2.9292 True\n",
"----------------------------------------------------\n"
]
}
],
"source": [
"tukey = pairwise_tukeyhsd(endog=df[\"score\"], groups=df[\"drug\"], alpha=0.05)\n",
"print(tukey)"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "81bf0c25-5f2e-46f7-97f2-b7f866d66d35",
"metadata": {},
"outputs": [],
"source": [
"def significance(text, y, xmin, xmax, bottom_left=None, bottom_right=None):\n",
" plt.hlines(y=y, xmin=xmin, xmax=xmax, color=\"k\", lw=1)\n",
" if bottom_left is not None:\n",
" plt.vlines(x=xmin, ymin=bottom_left, ymax=y, color=\"k\", lw=1)\n",
" if bottom_right is not None:\n",
" plt.vlines(x=xmax, ymin=bottom_right, ymax=y, color=\"k\", lw=1)\n",
" plt.text((xmax + xmin)/2, y, text, ha=\"center\", va=\"bottom\")\n",
"\n",
"def p_mark(pvalue):\n",
" if pvalue < 0.001:\n",
" return \"***\"\n",
" elif pvalue < 0.01:\n",
" return \"**\"\n",
" elif pvalue < 0.05:\n",
" return \"*\"\n",
" else:\n",
" return \"n.s.\""
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "01076b4b-5379-4d57-852d-7ceb04f428ad",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 400x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(4, 3))\n",
"mu = data.mean(axis=0)\n",
"sem = stats.sem(data)\n",
"for i in range(3):\n",
" plt.errorbar(i, mu[i], yerr=sem[i], fmt=\"o\", markersize=10, capsize=5, ecolor=\"k\", markeredgecolor=\"k\")\n",
"plt.plot(data.T, c=\"k\", alpha=0.2)\n",
"plt.xlim(-0.5, 2.5)\n",
"plt.xticks(np.arange(3), drug_name)\n",
"plt.ylabel(\"score\")\n",
"\n",
"significance(p_mark(tukey.pvalues[0]), 1.2, 0.02, 0.98, 0.7, -0.6)\n",
"significance(p_mark(tukey.pvalues[1]), 1.5, 1.02, 1.98, -0.6, 1)\n",
"significance(p_mark(tukey.pvalues[2]), 2.2, -0.02, 2.02, 0.7, 1)\n",
"plt.ylim(-3.5, 3)\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(\"errorbar_sig_multi.png\")\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "158a907c-4b94-49eb-ba51-e68d91424f20",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 400x300 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(4, 3))\n",
"mu = data.mean(axis=0)\n",
"sem = stats.sem(data)\n",
"for i in range(3):\n",
" plt.errorbar(i, mu[i], yerr=sem[i], fmt=\"o\", markersize=10, capsize=5, ecolor=\"k\", markeredgecolor=\"k\")\n",
"plt.plot(data.T, c=\"k\", alpha=0.2)\n",
"plt.xlim(-0.5, 2.5)\n",
"plt.xticks(np.arange(3), drug_name)\n",
"plt.ylabel(\"score\")\n",
"\n",
"significance(p_mark(anova.anova_table[\"Pr > F\"].values[0]), 1.5, 0, 2)\n",
"plt.ylim(-3.5, 3)\n",
"\n",
"plt.tight_layout()\n",
"plt.savefig(\"errorbar_sig_anova.png\")\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.12.3"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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