2023-07-08 16:23:44 +08:00
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"cells": [
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"cell_type": "code",
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2023-07-10 14:47:23 +08:00
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"execution_count": 7,
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2023-07-08 16:23:44 +08:00
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>自变量</th>\n",
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" <th>level</th>\n",
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2023-07-10 14:47:23 +08:00
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" <th>产业-企业边的中断累计次数</th>\n",
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" <th>产业-企业边的中断最大传导次数</th>\n",
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" <th>产业-企业边断裂总数</th>\n",
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" <th>系统恢复用时</th>\n",
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2023-07-08 16:23:44 +08:00
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>8</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>单一供应商断供对企业运营的影响P3</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>低</td>\n",
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" <td>1.915</td>\n",
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" <td>0.7324</td>\n",
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" <td>0.6919</td>\n",
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" <td>2.111</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>单一供应商断供对企业运营的影响P3</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>中</td>\n",
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" <td>2.219</td>\n",
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" <td>0.9477</td>\n",
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" <td>0.7478</td>\n",
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" <td>2.242</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>单一供应商断供对企业运营的影响P3</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>高</td>\n",
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" <td>2.708</td>\n",
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" <td>1.1902</td>\n",
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" <td>0.8713</td>\n",
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" <td>2.469</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>新供应关系构成概率P8</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>低</td>\n",
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" <td>2.367</td>\n",
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" <td>1.0258</td>\n",
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" <td>0.8611</td>\n",
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" <td>2.515</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>新供应关系构成概率P8</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>中</td>\n",
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" <td>2.228</td>\n",
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" <td>0.9255</td>\n",
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" <td>0.7274</td>\n",
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" <td>2.195</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>新供应关系构成概率P8</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>高</td>\n",
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" <td>2.247</td>\n",
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" <td>0.9191</td>\n",
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" <td>0.7226</td>\n",
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" <td>2.111</td>\n",
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" </tr>\n",
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" <tr>\n",
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2023-07-10 14:47:23 +08:00
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" <th>1</th>\n",
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" <td>是否规模偏好P2</td>\n",
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" <td>不倾向</td>\n",
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" <td>2.393</td>\n",
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" <td>1.0197</td>\n",
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" <td>0.7709</td>\n",
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" <td>2.334</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>是否规模偏好P2</td>\n",
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" <td>倾向</td>\n",
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" <td>2.168</td>\n",
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" <td>0.8939</td>\n",
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" <td>0.7698</td>\n",
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" <td>2.214</td>\n",
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" </tr>\n",
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" <tr>\n",
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2023-07-08 16:23:44 +08:00
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" <th>13</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>采购策略P1</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>单供应商</td>\n",
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" <td>2.523</td>\n",
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" <td>1.1081</td>\n",
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" <td>0.8349</td>\n",
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" <td>2.402</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>12</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>采购策略P1</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>双供应商</td>\n",
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" <td>2.253</td>\n",
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" <td>0.9342</td>\n",
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" <td>0.7568</td>\n",
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" <td>2.230</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>11</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>采购策略P1</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>三供应商</td>\n",
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" <td>2.066</td>\n",
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" <td>0.8281</td>\n",
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" <td>0.7193</td>\n",
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" <td>2.189</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>额外产能分布参数P7</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>低</td>\n",
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" <td>2.322</td>\n",
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" <td>0.9941</td>\n",
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" <td>0.8553</td>\n",
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" <td>2.442</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>额外产能分布参数P7</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>中</td>\n",
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" <td>2.323</td>\n",
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" <td>0.9772</td>\n",
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" <td>0.7891</td>\n",
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" <td>2.330</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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2023-07-10 14:47:23 +08:00
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" <td>额外产能分布参数P7</td>\n",
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2023-07-08 16:23:44 +08:00
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" <td>高</td>\n",
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" <td>2.197</td>\n",
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" <td>0.8991</td>\n",
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" <td>0.6667</td>\n",
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" <td>2.050</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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2023-07-10 14:47:23 +08:00
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" 自变量 level 产业-企业边的中断累计次数 产业-企业边的中断最大传导次数 产业-企业边断裂总数 \\\n",
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"8 单一供应商断供对企业运营的影响P3 低 1.915 0.7324 0.6919 \n",
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"9 单一供应商断供对企业运营的影响P3 中 2.219 0.9477 0.7478 \n",
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"10 单一供应商断供对企业运营的影响P3 高 2.708 1.1902 0.8713 \n",
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"5 新供应关系构成概率P8 低 2.367 1.0258 0.8611 \n",
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"6 新供应关系构成概率P8 中 2.228 0.9255 0.7274 \n",
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"7 新供应关系构成概率P8 高 2.247 0.9191 0.7226 \n",
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"1 是否规模偏好P2 不倾向 2.393 1.0197 0.7709 \n",
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"0 是否规模偏好P2 倾向 2.168 0.8939 0.7698 \n",
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"13 采购策略P1 单供应商 2.523 1.1081 0.8349 \n",
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"12 采购策略P1 双供应商 2.253 0.9342 0.7568 \n",
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"11 采购策略P1 三供应商 2.066 0.8281 0.7193 \n",
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"4 额外产能分布参数P7 低 2.322 0.9941 0.8553 \n",
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"3 额外产能分布参数P7 中 2.323 0.9772 0.7891 \n",
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"2 额外产能分布参数P7 高 2.197 0.8991 0.6667 \n",
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"\n",
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" 系统恢复用时 \n",
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"8 2.111 \n",
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"9 2.242 \n",
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"10 2.469 \n",
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"5 2.515 \n",
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"6 2.195 \n",
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"7 2.111 \n",
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"1 2.334 \n",
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"0 2.214 \n",
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"13 2.402 \n",
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"12 2.230 \n",
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"11 2.189 \n",
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"4 2.442 \n",
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"3 2.330 \n",
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"2 2.050 "
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2023-07-08 16:23:44 +08:00
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]
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},
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2023-07-10 14:47:23 +08:00
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import seaborn as sns\n",
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"\n",
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"config = {\"figure.dpi\": 300,\n",
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" \"font.family\": 'serif',\n",
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" \"font.serif\": ['SimSun']}\n",
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"df = pd.read_csv('analysis/anova_visualization.csv', encoding='utf-8-sig')\n",
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"df['sort_index'] = df['level'].map({'不倾向':0,\n",
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" '倾向':1,\n",
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" '低':0,\n",
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" '中':1,\n",
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" '高':2,\n",
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" '单供应商':0,\n",
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" '双供应商':1,\n",
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" '三供应商':2})\n",
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"df.sort_values(['自变量', 'sort_index'], inplace=True)\n",
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"df.drop(columns='sort_index', inplace=True)\n",
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"df"
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]
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},
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{
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"cell_type": "code",
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2023-07-10 14:47:23 +08:00
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"Text(0.5, 1.0, '是否规模偏好P2')"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABrcAAAViCAYAAACoEKfnAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjMuNCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8QVMy6AAAACXBIWXMAAC4jAAAuIwF4pT92AAEAAElEQVR4nOzdd3zV9fXH8ffNvTd7A4EsIAEBByKIVlQc1baOokXbasUFKhUEXFS0VuuoBUURBLfFhf5wT9S2KuLCooCAyEyAQAIkIfNm3fn74+be3EDGzbz3htfz8eCRb773O07G1eS+c87H4HK5XAIAAAAAAAAAAABCQFigCwAAAAAAAAAAAAD8RbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAAAAAAAAAgJBBuAUAAAAAAAAAAICQQbgFAAAAAAAAAACAkEG4BQAAACCgXC6XXC5XoMsIGZs2bZLVag10GR3yj3/8Q1u3bm3Xuf/73//0+uuvt/g5WL9+vW655RZt3ry5vSW2mcViadd55eXlevXVV2W32zu5orb54osv9NNPPwW0BgAAAMBfhFsAAAAA/PbDDz/omWee6dRw5cEHH9TUqVPbHQ4EM5fLpbvuukv/+te/Ou2aS5cu1ZlnnqknnnhCZWVlnXbd7vTee+9p3LhxuuKKK/TRRx/JZrP5fW5FRYXuuusunXnmmXryySeb/ByYTCYtW7ZMF154oSZPnqwffvihE6tv2hNPPKFrrrlG+fn5bTovKipK7777rsaNG6eVK1d2UXWt++yzz3TxxRfr+uuv18aNGwNWBwAAAOAPU6ALAAAAABA6bDabHnnkES1dulS33HKLjjzyyA5d7z//+Y+ef/55SdIf//hHPfHEExo4cGAnVBp4LpdLd999t15//XXvvmuuuabD142MjFRxcbEWLFigZ555RvPnz9cZZ5zR4ev6w+FwyGg0dvg6ERERkqRVq1Zpx44d6tOnj0444QS/zo2KipIkFRcXa9GiRYqNjdUVV1zR5PUlacWKFbJYLHriiSeUmJjY4dqb88UXXygnJ0e//e1vdfPNN+vyyy9XWFjrf08aHh6uhQsX6sILL9TVV1+tiy66SHfeeadiY2O7rNam7N27V5K0fPlyLV++XHfddZcuv/zybq0BAAAA8BfhFgAAAAC/hYeHS5Ly8/N16623duq1c3JyNHPmTL322mvtDlAcDodKSko6ta72euyxxxoFWw899JCkjgdcnq+BJF1xxRV+BVvr1q1TdXW1xowZ0+77lpSU6KqrrtK1116rCy+8sN3XkRrCp6ysLL366qtKTk72+9zIyEjv9qxZsw4JtqTGn6NzzjlH8+bN65RQrjnbt29XTk6OJKm6ulrPPfecjjvuOB177LF+nd+3b1/dd999mj59ut5++21t3LhRr776arcGXLt37/ZuT548WRMmTOjye65fv14vvfSS/vnPfzb6mgEAAACtIdwCAAAA4DffF6DHjx+vOXPmdOh6b7/9tu644w5J0tixY/Xoo492KIQwGo16+umn9fLLL3eorq7SGQGX2Wz2bvsbQBQUFOimm27SKaecoilTprQpTJLcXWh33HGHtm7dqttuu015eXmaPn16m67hy2Ry/yrar1+/Ntfi+z2YkJDQ6jGDBw9u8ntq48aNGjBgQKcESB9++KF3u1evXlq6dKnS0tLadI1f//rXOuWUU/TNN99oy5Ytmjt3ru69994O1+YPh8PhHadoMBg0adIkGQyGLr3nzp07NXnyZJWWlqqkpESPP/64tysPAAAAaA3hFgAAAAC/dWV3xbhx4xQXF9fh6/ztb39TSkqKJGn48OHq27evEhMTvYGKP1wul66//nqtWbNGkjuwWLx4cZsDi6Z0NDRoz9fAE4h98803+uabbzp0f0latGiRIiIiNHny5Had35EA0zfca05rn6O1a9fqmmuu0ZAhQ/Tcc891OOD66KOPvNv33ntvu79Ppk6d6v36FBcXd6imtigoKPCuezZw4EAlJSW1eLzT6dSsWbP0/vvvd8r9v/nmG11zzTV6+umnO+W/AQAAAOj5CLcAAAAA+M2fYCEYtDd08Vi8eLE32IqOjtZzzz2nYcOGdUZpHebPOk4H8/26zZ49WxdddFGbr3HFFVdo1apVMpvNmj59eoe6z1oKt6qrq73rPzWloKDAu11UVOQdB+irrq7Ou11aWtromD179ujmm29WVVWV1q5dq2uvvbZDAdcPP/ygXbt2SZKOO+44/epXv2r0+Pr167Vo0SL97ne/01lnndVoPbCDjR49WgMHDtTu3bt13XXXNXtcYWGh7rjjDp166qmaOHFiu+r2tX37du/2iBEjWj0+LCxMc+bMUVJSkgwGg0444QRlZWW16Z5/+ctftHHjRu/7mzZt0osvvqhp06a16ToAAAA4PBFuAQAAAPBbe4KVULNp0ybNmzfP+/6cOXN01FFHBbCixtrT9dSZHXdDhgzRn//85w5do6XvI5PJpIcffliff/55q9eZO3eu5s6d2+Ixr7zyil555ZVmH/d0cf3rX/9qV8D19ttve7enTJlyyONhYWFasWKFVqxYIZPJ1OpzyGq1SlKTa4l5OBwOORwOff3111q3bp3++c9/Kjo6us21e/iGf/6uE2Y0GvXXv/61Xff77LPPvMGW0WjUpEmTdN111zU7ZlKSZsyYoX//+99+3yM6OlpxcXFKS0vTiBEjdMYZZ3RozbnVq1dr2bJlWr16tfbu3avq6mrFxsaqV69eOuaYY3TyySfr3HPPZe0wAACAbkK4BQAAAMBvPT3cKi8v14033ugd0Sa5X4gfPXq0evXqFcDKGrQn3Aq2jruWRjOGh4drwYIF+vLLL71jJX1t3rxZF154oST3GmaebV91dXXekGbKlCm66aabOq94H9XV1frkk08kSUceeaTOOOOMQ47x/dwbDIZWx2P6Mz7TaDSqpqZGkvTxxx9r9OjRuvzyy9tQeWO+4dbw4cPbfR1/WK1WzZ49W5KUnJysxx9/XKNGjWr1vDvuuENTpkzR+vXrde+998rhcEhyj1H861//qtTUVO+xtbW1qqio0Pbt27Vq1SotWbJEL7zwggYNGqS7775bJ510kt/1rl+/Xv/4xz+0fft2XXDBBZo+fbr69esnm82mvXv36uuvv9b777+vd99917tO2llnndXGzwoAAADainALAAAAgN98w63KysomR8K1RVFRkXfb5XJ16Fod5XA4dPPNN3tHzA0YMEC7du3Se++9p+XLl+uOO+5o1zi/ztbaml0ul+uQY1rrJvn3v/+tE088sdW1ljpLcyGpxWLRunXrdMopp+jss89u8hi73d6me/kGlZ1t2bJlqqqqkqRmu9l8w60///nPmj59eofvm5OTo/POO0+SdM0113Qo2JKkrVu3SnLX2tXjN//1r39p9+7d6tOnj5YsWaKBAwf6dV5qaqpSU1N15JFH6s0339T69eslSVdeeaVOP/30Js859dRTdfXVVys/P1+33367Vq1apYkTJ+qWW25pceyjx0svvaTZs2dr1KhR+vjjjw8JWkeOHKnzzjtPkydP1uTJk7Vr1y7dcMMNuvvuu3XZZZf59XEBAACgfQi3AAAAAPjNN5T49NNP9emnn3batQMdbs2ZM0fffPONJOnoo4/WX/7yF1199dW
|
2023-07-08 16:23:44 +08:00
|
|
|
"text/plain": [
|
|
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|
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"<Figure size 1920x1440 with 1 Axes>"
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|
]
|
|
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|
},
|
|
|
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|
"metadata": {},
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|
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"output_type": "display_data"
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|
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}
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|
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|
|
],
|
|
|
|
|
"source": [
|
2023-07-10 14:47:23 +08:00
|
|
|
"x_name = '是否规模偏好P2'\n",
|
2023-07-08 16:23:44 +08:00
|
|
|
"df_x = df.loc[df['自变量']==x_name, 'level':].set_index('level').stack().reset_index().rename(columns={'level':'水平','level_1':'响应变量',0:'均值'})\n",
|
|
|
|
|
"sns.set_theme(style=\"whitegrid\", rc=config)\n",
|
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|
|
|
"ax = sns.pointplot(data=df_x, x=\"水平\", y=\"均值\", hue=\"响应变量\")\n",
|
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|
|
"ax.set_title(x_name)"
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|
]
|
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},
|
|
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{
|
|
|
|
|
"cell_type": "code",
|
2023-07-10 14:47:23 +08:00
|
|
|
"execution_count": 9,
|
2023-07-08 16:23:44 +08:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2023-07-10 14:47:23 +08:00
|
|
|
"Text(0.5, 1.0, '额外产能分布参数P7')"
|
2023-07-08 16:23:44 +08:00
|
|
|
]
|
|
|
|
|
},
|
2023-07-10 14:47:23 +08:00
|
|
|
"execution_count": 9,
|
2023-07-08 16:23:44 +08:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2023-07-10 14:47:23 +08:00
|
|
|
"image/png": "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
|
2023-07-08 16:23:44 +08:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 1920x1440 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2023-07-10 14:47:23 +08:00
|
|
|
"x_name = '额外产能分布参数P7'\n",
|
2023-07-08 16:23:44 +08:00
|
|
|
"df_x = df.loc[df['自变量']==x_name, 'level':].set_index('level').stack().reset_index().rename(columns={'level':'水平','level_1':'响应变量',0:'均值'})\n",
|
|
|
|
|
"sns.set_theme(style=\"whitegrid\", rc=config)\n",
|
|
|
|
|
"ax = sns.pointplot(data=df_x, x=\"水平\", y=\"均值\", hue=\"响应变量\")\n",
|
|
|
|
|
"ax.set_title(x_name)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2023-07-10 14:47:23 +08:00
|
|
|
"execution_count": 10,
|
2023-07-08 16:23:44 +08:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2023-07-10 14:47:23 +08:00
|
|
|
"Text(0.5, 1.0, '新供应关系构成概率P8')"
|
2023-07-08 16:23:44 +08:00
|
|
|
]
|
|
|
|
|
},
|
2023-07-10 14:47:23 +08:00
|
|
|
"execution_count": 10,
|
2023-07-08 16:23:44 +08:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2023-07-10 14:47:23 +08:00
|
|
|
"image/png": "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
|
2023-07-08 16:23:44 +08:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 1920x1440 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
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|
|
|
|
"output_type": "display_data"
|
|
|
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|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2023-07-10 14:47:23 +08:00
|
|
|
"x_name = '新供应关系构成概率P8'\n",
|
2023-07-08 16:23:44 +08:00
|
|
|
"df_x = df.loc[df['自变量']==x_name, 'level':].set_index('level').stack().reset_index().rename(columns={'level':'水平','level_1':'响应变量',0:'均值'})\n",
|
|
|
|
|
"sns.set_theme(style=\"whitegrid\", rc=config)\n",
|
|
|
|
|
"ax = sns.pointplot(data=df_x, x=\"水平\", y=\"均值\", hue=\"响应变量\")\n",
|
|
|
|
|
"ax.set_title(x_name)"
|
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|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2023-07-10 14:47:23 +08:00
|
|
|
"execution_count": 11,
|
2023-07-08 16:23:44 +08:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2023-07-10 14:47:23 +08:00
|
|
|
"Text(0.5, 1.0, '单一供应商断供对企业运营的影响P3')"
|
2023-07-08 16:23:44 +08:00
|
|
|
]
|
|
|
|
|
},
|
2023-07-10 14:47:23 +08:00
|
|
|
"execution_count": 11,
|
2023-07-08 16:23:44 +08:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2023-07-10 14:47:23 +08:00
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"image/png": "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
|
2023-07-08 16:23:44 +08:00
|
|
|
"text/plain": [
|
|
|
|
|
"<Figure size 1920x1440 with 1 Axes>"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "display_data"
|
|
|
|
|
}
|
|
|
|
|
],
|
|
|
|
|
"source": [
|
2023-07-10 14:47:23 +08:00
|
|
|
"x_name = '单一供应商断供对企业运营的影响P3'\n",
|
2023-07-08 16:23:44 +08:00
|
|
|
"df_x = df.loc[df['自变量']==x_name, 'level':].set_index('level').stack().reset_index().rename(columns={'level':'水平','level_1':'响应变量',0:'均值'})\n",
|
|
|
|
|
"sns.set_theme(style=\"whitegrid\", rc=config)\n",
|
|
|
|
|
"ax = sns.pointplot(data=df_x, x=\"水平\", y=\"均值\", hue=\"响应变量\")\n",
|
|
|
|
|
"ax.set_title(x_name)"
|
|
|
|
|
]
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"cell_type": "code",
|
2023-07-10 14:47:23 +08:00
|
|
|
"execution_count": 12,
|
2023-07-08 16:23:44 +08:00
|
|
|
"metadata": {},
|
|
|
|
|
"outputs": [
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
|
|
|
|
"text/plain": [
|
2023-07-10 14:47:23 +08:00
|
|
|
"Text(0.5, 1.0, '采购策略P1')"
|
2023-07-08 16:23:44 +08:00
|
|
|
]
|
|
|
|
|
},
|
2023-07-10 14:47:23 +08:00
|
|
|
"execution_count": 12,
|
2023-07-08 16:23:44 +08:00
|
|
|
"metadata": {},
|
|
|
|
|
"output_type": "execute_result"
|
|
|
|
|
},
|
|
|
|
|
{
|
|
|
|
|
"data": {
|
2023-07-10 14:47:23 +08:00
|
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2023-07-08 16:23:44 +08:00
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"text/plain": [
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"<Figure size 1920x1440 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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2023-07-10 14:47:23 +08:00
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"x_name = '采购策略P1'\n",
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2023-07-08 16:23:44 +08:00
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"df_x = df.loc[df['自变量']==x_name, 'level':].set_index('level').stack().reset_index().rename(columns={'level':'水平','level_1':'响应变量',0:'均值'})\n",
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"sns.set_theme(style=\"whitegrid\", rc=config)\n",
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"ax = sns.pointplot(data=df_x, x=\"水平\", y=\"均值\", hue=\"响应变量\")\n",
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"ax.set_title(x_name)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "iiabm_py3.8.8",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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