From 5d204a6e40fa8be5fd5c185dfa3238640fb8fd5a Mon Sep 17 00:00:00 2001 From: zhang117228 <13198271+zhang117228@user.noreply.gitee.com> Date: Thu, 13 Jul 2023 11:13:17 +0000 Subject: [PATCH] =?UTF-8?q?=E6=95=B0=E6=8D=AE=E5=88=86=E6=9E=90?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Signed-off-by: zhang117228 <13198271+zhang117228@user.noreply.gitee.com> --- .../homeworks/国民经济核算数据分析.ipynb | 304 ++ .../homeworks/菜谱订单数据分析.ipynb | 2521 +++++++++++++++++ 2 files changed, 2825 insertions(+) create mode 100644 QuickDraw在线交互识别系统/homeworks/国民经济核算数据分析.ipynb create mode 100644 QuickDraw在线交互识别系统/homeworks/菜谱订单数据分析.ipynb diff --git a/QuickDraw在线交互识别系统/homeworks/国民经济核算数据分析.ipynb b/QuickDraw在线交互识别系统/homeworks/国民经济核算数据分析.ipynb new file mode 100644 index 0000000..55900fe --- /dev/null +++ b/QuickDraw在线交互识别系统/homeworks/国民经济核算数据分析.ipynb @@ -0,0 +1,304 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "375dc0f1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['columns', 'values']" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "data=np.load('./国民经济核算季度数据.npz',allow_pickle=True)\n", + "data.files" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6a0b74f6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array(['序号', '时间', '国内生产总值_当季值(亿元)', '第一产业增加值_当季值(亿元)', '第二产业增加值_当季值(亿元)',\n", + " '第三产业增加值_当季值(亿元)', '农林牧渔业增加值_当季值(亿元)', '工业增加值_当季值(亿元)',\n", + " '建筑业增加值_当季值(亿元)', '批发和零售业增加值_当季值(亿元)', '交通运输、仓储和邮政业增加值_当季值(亿元)',\n", + " '住宿和餐饮业增加值_当季值(亿元)', '金融业增加值_当季值(亿元)', '房地产业增加值_当季值(亿元)',\n", + " '其他行业增加值_当季值(亿元)'], dtype=object)" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['columns']" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "24dfbbdf", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "array([[1, '2000年第一季度', 21329.9, ..., 1235.9, 933.7, 3586.1],\n", + " [2, '2000年第二季度', 24043.4, ..., 1124.0, 904.7, 3464.9],\n", + " [3, '2000年第三季度', 25712.5, ..., 1170.4, 1070.9, 3518.2],\n", + " ...,\n", + " [67, '2016年第三季度', 190529.5, ..., 15472.5, 12164.1, 37964.1],\n", + " [68, '2016年第四季度', 211281.3, ..., 15548.7, 13214.9, 39848.4],\n", + " [69, '2017年第一季度', 180682.7, ..., 17213.5, 12393.4, 42443.1]],\n", + " dtype=object)" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data['values']" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "858e1482", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#第一、二、三产业增长值\n", + "for i in [3,4,5]:\n", + " plt.scatter(range(69),data['values'][:,i])\n", + "plt.legend(['1','2','3'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "34358f54", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#生产总值\n", + "plt.plot(range(69),data['values'][:,2])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "c560b8bc", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#c为点的颜色，marker为点的类型，alpha为点的透明度，值为0-1，越小点越透明\n", + "l=['r','g','b'] #点的颜色\n", + "m=['o','*','D'] #点的类型\n", + "#j代表位置，i代表值，比如j=0时，i=3；j=1时，i=4；j=2时，i=5\n", + "for j,i in enumerate([3,4,5]):\n", + " plt.plot(range(69),data['values'][:,i],c=l[j],marker=m[j],alpha=0.3)\n", + "plt.legend(['1','2','3'])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "957f7f36", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(4,4))\n", + "num=data['values'][68,3:6]\n", + "plt.pie(num,autopct='%2.f %%',explode=[0.1,0,0],labels=['1','2','3'],labeldistance=1.2)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "48b0ea5b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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order_iddishes_name
145458蒜香辣花甲
146458剁椒鱼头
147458凉拌蒜蓉西兰花
148458木须豌豆
149458辣炒鱿鱼
150458酸辣藕丁
151458炝炒大白菜
152458香菇鸡肉粥
153458干锅田鸡
154458桂圆枸杞鸽子汤
155458五香酱驴肉
156458路易拉菲红酒干红
157458避风塘炒蟹
158458白饭/大碗
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" + ], + "text/plain": [ + " order_id dishes_name\n", + "145 458 蒜香辣花甲\n", + "146 458 剁椒鱼头\n", + "147 458 凉拌蒜蓉西兰花\n", + "148 458 木须豌豆\n", + "149 458 辣炒鱿鱼\n", + "150 458 酸辣藕丁\n", + "151 458 炝炒大白菜\n", + "152 458 香菇鸡肉粥\n", + "153 458 干锅田鸡\n", + "154 458 桂圆枸杞鸽子汤\n", + "155 458 五香酱驴肉\n", + "156 458 路易拉菲红酒干红\n", + "157 458 避风塘炒蟹\n", + "158 458 白饭/大碗" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#提取order_id=458的数据，再取第1列和第5列\n", + "detail=df\n", + "detail.iloc[(detail['order_id']==458).values,[1,5]]" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "c72626fc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "白饭/大碗 323\n", + "凉拌菠菜 269\n", + "谷稻小庄 238\n", + "麻辣小龙虾 216\n", + "辣炒鱿鱼 189\n", + " ... \n", + "特醇嘉士伯啤酒罐装 13\n", + "鸡蛋、肉末肠粉 12\n", + "三丝鳝鱼 10\n", + "百里香奶油烤紅酒牛肉 5\n", + "铁板牛肉 3\n", + "Name: dishes_name, Length: 145, dtype: int64" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dishes=df['dishes_name'].value_counts()\n", + "dishes" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "6a3d2cee", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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241311476NaN14881009854158542016/8/1 12:42:52...2016/8/1 12:54:37NaNNaNNaN330NaNNaN118688880276徐毅凡
341511664NaN15021023466104662016/8/1 12:51:38...2016/8/1 13:08:20NaNNaNNaN330NaNNaN118688880231张大鹏
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94064110958NaN14921013679126792016/8/31 21:23:48...2016/8/31 21:31:48NaNNaNNaN330NaNNaN118688880307李靖
94167210896NaN14891010800248002016/8/31 21:24:12...2016/8/31 21:56:12NaNNaNNaN330NaNNaN118688880305莫言
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countsamounts
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" + ], + "text/plain": [ + " counts amounts\n", + "sum 11126.0 449872.000000\n", + "mean NaN 44.821361" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import numpy as np\n", + "df[['counts','amounts']].agg(np.sum)\n", + "df[['counts','amounts']].agg([np.sum,np.mean])\n", + "#分别对counts做求和，对amounts做求和以及求均值\n", + "df[['counts','amounts']].agg({'counts':np.sum,'amounts':[np.sum,np.mean]})" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "a3b81087", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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amounts...counts
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order_id
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166NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaN7
..................................................................
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132380.0NaNNaNNaNNaNNaNNaNNaNNaNNaN...NaNNaNNaNNaNNaNNaNNaNNaNNaN15
1324NaNNaNNaNNaNNaNNaNNaNNaN7.0NaN...NaNNaNNaNNaNNaNNaNNaNNaN1.013
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