20241023
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@@ -124,15 +124,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 1,
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"id": "970e171e-1360-448f-a28c-520ccb8f314a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-10-18T02:17:23.733390Z",
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"iopub.status.busy": "2023-10-18T02:17:23.733131Z",
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"iopub.status.idle": "2023-10-18T02:17:23.758353Z",
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"shell.execute_reply": "2023-10-18T02:17:23.757550Z",
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"shell.execute_reply.started": "2023-10-18T02:17:23.733366Z"
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"iopub.execute_input": "2024-10-22T02:25:41.269673Z",
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"iopub.status.busy": "2024-10-22T02:25:41.268882Z",
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"iopub.status.idle": "2024-10-22T02:25:41.287724Z",
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"shell.execute_reply": "2024-10-22T02:25:41.287168Z",
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"shell.execute_reply.started": "2024-10-22T02:25:41.269600Z"
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},
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"tags": []
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},
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@@ -141,8 +141,8 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"141\n",
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"141\n"
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"44\n",
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"44\n"
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]
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}
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],
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@@ -161,11 +161,11 @@
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"re_ta = {}\n",
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"dict1 = {}\n",
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"list1 = []\n",
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"filename = 'data/北京党校.json'\n",
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"filename = 'data/中国石化化工销售.json'\n",
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"with open(filename,'r') as fl:\n",
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" dict1 = json.load(fl) \n",
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"\n",
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"filename = 'data/places_result_20231018.csv'\n",
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"filename = 'data/places_result_20241022.csv'\n",
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"with open(filename,'r',newline='') as csv_file:\n",
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" fl = csv.reader(csv_file,delimiter=',')\n",
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" header = next(fl) \n",
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@@ -186,7 +186,7 @@
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" score = int(result[4])/item[m_item]['divisor'] \n",
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" re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
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"print(len(re_ta))\n",
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"filename = 'data/result_北京党校.json'\n",
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"filename = 'data/result_中国石化化工销售2023.json'\n",
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"\n",
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"with open(filename,'w') as fl:\n",
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" json.dump(re_ta, fl, ensure_ascii=False) \n",
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@@ -312,7 +312,7 @@
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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": "3.10.12"
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"version": "3.12.3"
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}
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},
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"nbformat": 4,
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