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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,291 @@ | ||
| { | ||
| "cells": [ | ||
| { | ||
| "cell_type": "code", | ||
| "id": "initial_id", | ||
| "metadata": { | ||
| "collapsed": true, | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:25:05.185328Z", | ||
| "start_time": "2024-09-13T09:25:05.174999Z" | ||
| } | ||
| }, | ||
| "source": [ | ||
| "import numpy as np\n", | ||
| "\n", | ||
| "persontype = np.dtype({\n", | ||
| " 'names':['name', 'chinese', 'english', 'math'],\n", | ||
| " 'formats':['S32', 'i', 'i', 'i']})\n", | ||
| "\n", | ||
| "peoples = np.array([(\"ZhangFei\",32,75,100),(\"GuanYu\",24,85,96),\n", | ||
| " (\"ZhaoYun\",28,85,92),(\"HuangZhong\",29,65,85)],dtype=persontype)\n", | ||
| "\n", | ||
| "print(peoples)" | ||
| ], | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "[(b'ZhangFei', 32, 75, 100) (b'GuanYu', 24, 85, 96)\n", | ||
| " (b'ZhaoYun', 28, 85, 92) (b'HuangZhong', 29, 65, 85)]\n" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 2 | ||
| }, | ||
| { | ||
| "metadata": { | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:25:31.525656Z", | ||
| "start_time": "2024-09-13T09:25:31.522645Z" | ||
| } | ||
| }, | ||
| "cell_type": "code", | ||
| "source": "print(peoples[:][\"chinese\"])", | ||
| "id": "9efaccd6aa05aeb7", | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "[32 24 28 29]\n" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 3 | ||
| }, | ||
| { | ||
| "metadata": { | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:26:04.726637Z", | ||
| "start_time": "2024-09-13T09:26:04.721970Z" | ||
| } | ||
| }, | ||
| "cell_type": "code", | ||
| "source": "print(np.average(peoples[:][\"chinese\"]))", | ||
| "id": "851dd0377e1cd22d", | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "28.25\n" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 4 | ||
| }, | ||
| { | ||
| "metadata": { | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:26:25.509957Z", | ||
| "start_time": "2024-09-13T09:26:25.505608Z" | ||
| } | ||
| }, | ||
| "cell_type": "code", | ||
| "source": "print(np.amin(peoples[:][\"chinese\"]))", | ||
| "id": "1d73901d0834b9a1", | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "24\n" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 5 | ||
| }, | ||
| { | ||
| "metadata": { | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:26:31.508430Z", | ||
| "start_time": "2024-09-13T09:26:31.504455Z" | ||
| } | ||
| }, | ||
| "cell_type": "code", | ||
| "source": "print(np.amax(peoples[:][\"chinese\"]))", | ||
| "id": "12ca85a02cc88ad0", | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "32\n" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 6 | ||
| }, | ||
| { | ||
| "metadata": { | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:27:08.461523Z", | ||
| "start_time": "2024-09-13T09:27:08.458620Z" | ||
| } | ||
| }, | ||
| "cell_type": "code", | ||
| "source": "print(np.var(peoples[:][\"chinese\"]))", | ||
| "id": "fd4dd57ccd300ab7", | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "8.1875\n" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 8 | ||
| }, | ||
| { | ||
| "metadata": { | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:27:14.380705Z", | ||
| "start_time": "2024-09-13T09:27:14.377686Z" | ||
| } | ||
| }, | ||
| "cell_type": "code", | ||
| "source": "print(np.std(peoples[:][\"chinese\"]))\n", | ||
| "id": "61a4a51025df52cf", | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "2.8613807855648994\n" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 9 | ||
| }, | ||
| { | ||
| "metadata": { | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:29:10.950024Z", | ||
| "start_time": "2024-09-13T09:29:10.936537Z" | ||
| } | ||
| }, | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "persontype = np.dtype({'names':['name','chinese','english','math','total'],'formats':['S32','i','i','i','i']})\n", | ||
| "peoples[:]['total'] = peoples[:]['chinese']+peoples[:]['english']+peoples[:]['math']\n" | ||
| ], | ||
| "id": "ff16709efce98a81", | ||
| "outputs": [ | ||
| { | ||
| "ename": "ValueError", | ||
| "evalue": "no field of name total", | ||
| "output_type": "error", | ||
| "traceback": [ | ||
| "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", | ||
| "\u001B[0;31mValueError\u001B[0m Traceback (most recent call last)", | ||
| "Cell \u001B[0;32mIn[12], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m \u001B[43mpeoples\u001B[49m\u001B[43m[\u001B[49m\u001B[43m:\u001B[49m\u001B[43m]\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mtotal\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m \u001B[38;5;241m=\u001B[39m peoples[:][\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mchinese\u001B[39m\u001B[38;5;124m'\u001B[39m]\u001B[38;5;241m+\u001B[39mpeoples[:][\u001B[38;5;124m'\u001B[39m\u001B[38;5;124menglish\u001B[39m\u001B[38;5;124m'\u001B[39m]\u001B[38;5;241m+\u001B[39mpeoples[:][\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mmath\u001B[39m\u001B[38;5;124m'\u001B[39m]\n", | ||
| "\u001B[0;31mValueError\u001B[0m: no field of name total" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 12 | ||
| }, | ||
| { | ||
| "metadata": { | ||
| "ExecuteTime": { | ||
| "end_time": "2024-09-13T09:44:17.954933Z", | ||
| "start_time": "2024-09-13T09:44:17.943792Z" | ||
| } | ||
| }, | ||
| "cell_type": "code", | ||
| "source": [ | ||
| "import numpy as np\n", | ||
| "\n", | ||
| "# 学员成绩数据\n", | ||
| "scores = np.array([[80, 85, 90],\n", | ||
| " [75, 88, 93],\n", | ||
| " [85, 82, 87],\n", | ||
| " [90, 95, 88],\n", | ||
| " [88, 92, 90]])\n", | ||
| "\n", | ||
| "# 计算平均成绩\n", | ||
| "avg_scores = np.mean(scores, axis=0)\n", | ||
| "\n", | ||
| "# 计算最小成绩\n", | ||
| "min_scores = np.min(scores, axis=0)\n", | ||
| "\n", | ||
| "# 计算最大成绩\n", | ||
| "max_scores = np.max(scores, axis=0)\n", | ||
| "\n", | ||
| "# 计算方差\n", | ||
| "var_scores = np.var(scores, axis=0)\n", | ||
| "\n", | ||
| "# 计算标准差\n", | ||
| "std_scores = np.std(scores, axis=0)\n", | ||
| "\n", | ||
| "# 计算总成绩并排序\n", | ||
| "total_scores = np.sum(scores, axis=1)\n", | ||
| "ranking = np.argsort(-total_scores) + 1\n", | ||
| "\n", | ||
| "# 输出结果\n", | ||
| "print(\"平均成绩：\", avg_scores)\n", | ||
| "print(\"最小成绩：\", min_scores)\n", | ||
| "print(\"最大成绩：\", max_scores)\n", | ||
| "print(\"方差：\", var_scores)\n", | ||
| "print(\"标准差：\", std_scores)\n", | ||
| "print(\"\\n总成绩排序：\")\n", | ||
| "for rank, total_score in zip(ranking, total_scores):\n", | ||
| " print(f\"第{rank}名，总成绩：{total_score}\")" | ||
| ], | ||
| "id": "8198d2785e589c97", | ||
| "outputs": [ | ||
| { | ||
| "name": "stdout", | ||
| "output_type": "stream", | ||
| "text": [ | ||
| "平均成绩： [83.6 88.4 89.6]\n", | ||
| "最小成绩： [75 82 87]\n", | ||
| "最大成绩： [90 95 93]\n", | ||
| "方差： [29.84 21.84 4.24]\n", | ||
| "标准差： [5.46260011 4.67332858 2.05912603]\n", | ||
| "\n", | ||
| "总成绩排序：\n", | ||
| "第4名，总成绩：255\n", | ||
| "第5名，总成绩：256\n", | ||
| "第2名，总成绩：254\n", | ||
| "第1名，总成绩：273\n", | ||
| "第3名，总成绩：270\n" | ||
| ] | ||
| } | ||
| ], | ||
| "execution_count": 13 | ||
| }, | ||
| { | ||
| "metadata": {}, | ||
| "cell_type": "code", | ||
| "outputs": [], | ||
| "execution_count": null, | ||
| "source": "", | ||
| "id": "6176fcc1dc633cf0" | ||
| } | ||
| ], | ||
| "metadata": { | ||
| "kernelspec": { | ||
| "display_name": "Python 3", | ||
| "language": "python", | ||
| "name": "python3" | ||
| }, | ||
| "language_info": { | ||
| "codemirror_mode": { | ||
| "name": "ipython", | ||
| "version": 2 | ||
| }, | ||
| "file_extension": ".py", | ||
| "mimetype": "text/x-python", | ||
| "name": "python", | ||
| "nbconvert_exporter": "python", | ||
| "pygments_lexer": "ipython2", | ||
| "version": "2.7.6" | ||
| } | ||
| }, | ||
| "nbformat": 4, | ||
| "nbformat_minor": 5 | ||
| } |
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