ADD file via upload

网工2班202014050227谭江涛.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "035bbe94",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "url = 'https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&_=1638361138568'\n",
+    "response = requests.get(url, verify=False) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7958e476",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "json_data = response.json()['data'] "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aedf9134",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "json_data = json.loads(json_data)\n",
+    "china_data = json_data['areaTree'][0]['children'] # 列表\n",
+    "data_set = []\n",
+    "for i in china_data:\n",
+    "    data_dict = {}\n",
+    "    # 地区名称\n",
+    "    data_dict['province'] = i['name']\n",
+    "    # 新增确认\n",
+    "    data_dict['nowConfirm'] = i['total']['nowConfirm']\n",
+    "    # 死亡人数\n",
+    "    data_dict['dead'] = i['total']['dead']\n",
+    "    # 治愈人数\n",
+    "    data_dict['heal'] = i['total']['heal']\n",
+    "    # 死亡率\n",
+    "    data_dict['deadRate'] = i['total']['deadRate']\n",
+    "    # 治愈率\n",
+    "    data_dict['healRate'] = i['total']['healRate']\n",
+    "    data_set.append(data_dict) "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "003fe7e4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(data_set)\n",
+    "df.to_csv('data.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "898540cc",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from pyecharts import options as opts\n",
+    "from pyecharts.charts import Bar,Line,Pie,Map,Grid "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "02fa2050",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df2 = df.sort_values(by=['nowConfirm'],ascending=False)[:9]\n",
+    "df2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1801a511",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "line = (\n",
+    "    Line()\n",
+    "    .add_xaxis(list(df['province'].values))\n",
+    "    .add_yaxis(\"治愈率\", df['healRate'].values.tolist())\n",
+    "    .add_yaxis(\"死亡率\", df['deadRate'].values.tolist())\n",
+    "    .set_global_opts(\n",
+    "        title_opts=opts.TitleOpts(title=\"死亡率与治愈率\"),\n",
+    "\n",
+    "    )\n",
+    ")\n",
+    "line.render_notebook() "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b9895713",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bar = (\n",
+    "    Bar()\n",
+    "    .add_xaxis(list(df['province'].values)[:6])\n",
+    "    .add_yaxis(\"死亡\", df['dead'].values.tolist()[:6])\n",
+    "    .add_yaxis(\"治愈\", df['heal'].values.tolist()[:6])\n",
+    "    .set_global_opts(\n",
+    "        title_opts=opts.TitleOpts(title=\"各地区确诊人数与死亡人数情况\"),\n",
+    "        datazoom_opts=[opts.DataZoomOpts()],\n",
+    "        )\n",
+    ")\n",
+    "bar.render_notebook() "
+   ]
+  }
+ ],
+ "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}