ADD file via upload

网工2班202014050215苏靖（可视化）.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x1a7adba6518>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# 生成随机数据\n",
+    "height = [3, 12, 5, 18, 45]\n",
+    "bars = ('A', 'B', 'C', 'D', 'E')\n",
+    "y_pos = np.arange(len(bars))\n",
+    "# 创建条形图\n",
+    "plt.bar(y_pos, height)\n",
+    "# x轴标签\n",
+    "plt.xticks(y_pos, bars)\n",
+    "# 显示\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "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": "3.6.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}