|
| 1 | +{ |
| 2 | + "cells": [ |
| 3 | + { |
| 4 | + "cell_type": "markdown", |
| 5 | + "metadata": {}, |
| 6 | + "source": [ |
| 7 | + "# pprint 模块：打印 Python 对象" |
| 8 | + ] |
| 9 | + }, |
| 10 | + { |
| 11 | + "cell_type": "markdown", |
| 12 | + "metadata": {}, |
| 13 | + "source": [ |
| 14 | + "`pprint` 是 pretty printer 的缩写，用来打印 Python 数据结构，与 `print` 相比，它打印出来的结构更加整齐，便于阅读。" |
| 15 | + ] |
| 16 | + }, |
| 17 | + { |
| 18 | + "cell_type": "code", |
| 19 | + "execution_count": 1, |
| 20 | + "metadata": { |
| 21 | + "collapsed": true |
| 22 | + }, |
| 23 | + "outputs": [], |
| 24 | + "source": [ |
| 25 | + "import pprint" |
| 26 | + ] |
| 27 | + }, |
| 28 | + { |
| 29 | + "cell_type": "markdown", |
| 30 | + "metadata": {}, |
| 31 | + "source": [ |
| 32 | + "生成一个 Python 对象：" |
| 33 | + ] |
| 34 | + }, |
| 35 | + { |
| 36 | + "cell_type": "code", |
| 37 | + "execution_count": 2, |
| 38 | + "metadata": { |
| 39 | + "collapsed": true |
| 40 | + }, |
| 41 | + "outputs": [], |
| 42 | + "source": [ |
| 43 | + "data = (\n", |
| 44 | + " \"this is a string\", \n", |
| 45 | + " [1, 2, 3, 4], \n", |
| 46 | + " (\"more tuples\", 1.0, 2.3, 4.5), \n", |
| 47 | + " \"this is yet another string\"\n", |
| 48 | + " )" |
| 49 | + ] |
| 50 | + }, |
| 51 | + { |
| 52 | + "cell_type": "markdown", |
| 53 | + "metadata": {}, |
| 54 | + "source": [ |
| 55 | + "使用普通的 `print` 函数：" |
| 56 | + ] |
| 57 | + }, |
| 58 | + { |
| 59 | + "cell_type": "code", |
| 60 | + "execution_count": 3, |
| 61 | + "metadata": { |
| 62 | + "collapsed": false |
| 63 | + }, |
| 64 | + "outputs": [ |
| 65 | + { |
| 66 | + "name": "stdout", |
| 67 | + "output_type": "stream", |
| 68 | + "text": [ |
| 69 | + "('this is a string', [1, 2, 3, 4], ('more tuples', 1.0, 2.3, 4.5), 'this is yet another string')\n" |
| 70 | + ] |
| 71 | + } |
| 72 | + ], |
| 73 | + "source": [ |
| 74 | + "print data" |
| 75 | + ] |
| 76 | + }, |
| 77 | + { |
| 78 | + "cell_type": "markdown", |
| 79 | + "metadata": {}, |
| 80 | + "source": [ |
| 81 | + "使用 `pprint` 模块中的 `pprint` 函数：" |
| 82 | + ] |
| 83 | + }, |
| 84 | + { |
| 85 | + "cell_type": "code", |
| 86 | + "execution_count": 4, |
| 87 | + "metadata": { |
| 88 | + "collapsed": false |
| 89 | + }, |
| 90 | + "outputs": [ |
| 91 | + { |
| 92 | + "name": "stdout", |
| 93 | + "output_type": "stream", |
| 94 | + "text": [ |
| 95 | + "('this is a string',\n", |
| 96 | + " [1, 2, 3, 4],\n", |
| 97 | + " ('more tuples', 1.0, 2.3, 4.5),\n", |
| 98 | + " 'this is yet another string')\n" |
| 99 | + ] |
| 100 | + } |
| 101 | + ], |
| 102 | + "source": [ |
| 103 | + "pprint.pprint(data)" |
| 104 | + ] |
| 105 | + }, |
| 106 | + { |
| 107 | + "cell_type": "markdown", |
| 108 | + "metadata": {}, |
| 109 | + "source": [ |
| 110 | + "可以看到，这样打印出来的公式更加美观。" |
| 111 | + ] |
| 112 | + } |
| 113 | + ], |
| 114 | + "metadata": { |
| 115 | + "kernelspec": { |
| 116 | + "display_name": "Python 2", |
| 117 | + "language": "python", |
| 118 | + "name": "python2" |
| 119 | + }, |
| 120 | + "language_info": { |
| 121 | + "codemirror_mode": { |
| 122 | + "name": "ipython", |
| 123 | + "version": 2 |
| 124 | + }, |
| 125 | + "file_extension": ".py", |
| 126 | + "mimetype": "text/x-python", |
| 127 | + "name": "python", |
| 128 | + "nbconvert_exporter": "python", |
| 129 | + "pygments_lexer": "ipython2", |
| 130 | + "version": "2.7.6" |
| 131 | + } |
| 132 | + }, |
| 133 | + "nbformat": 4, |
| 134 | + "nbformat_minor": 0 |
| 135 | +} |
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