matplotlib/bar.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# 原始数据：职业-人数 分布\n",
    "count_by_occupation = \\\n",
    "[(u'administrator', 79),\n",
    " (u'retired', 14),\n",
    " (u'lawyer', 12),\n",
    " (u'none', 9),\n",
    " (u'student', 196),\n",
    " (u'technician', 27),\n",
    " (u'programmer', 66),\n",
    " (u'salesman', 12),\n",
    " (u'homemaker', 7),\n",
    " (u'executive', 32),\n",
    " (u'doctor', 7),\n",
    " (u'entertainment', 18),\n",
    " (u'marketing', 26),\n",
    " (u'writer', 45),\n",
    " (u'scientist', 31),\n",
    " (u'educator', 95),\n",
    " (u'healthcare', 16),\n",
    " (u'librarian', 51),\n",
    " (u'artist', 28),\n",
    " (u'other', 105),\n",
    " (u'engineer', 67)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.cm as cm\n",
    "import numpy as np\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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csRAAALiqrNfrGQrvqHa2Pc6G3V3dtu0hAOAbxEIAAOAqtVOd2vYQG+Y2ZACu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DAAAH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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fea7c89d750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x_occupation = np.array([c[0] for c in count_by_occupation])# 获取所有职业\n",
    "y_count = np.array([c[1] for c in count_by_occupation])# 获取所有职业的从业人数分布\n",
    "\n",
    "x = x_occupation[np.argsort(y_count)]# 将职业按照从业人数分布升序排序\n",
    "y = y_count[np.argsort(y_count)]# 从业人数分布升序排序\n",
    "\n",
    "width = 1\n",
    "pos = np.arange(len(x))\n",
    "\n",
    "#打印x轴的label\n",
    "ax = plt.axes()\n",
    "ax.set_xticks(pos+width/2)\n",
    "ax.set_xticklabels(x)\n",
    "\n",
    "#画bar图，设置x轴label斜向显示\n",
    "plt.bar(pos, y, width)\n",
    "plt.xticks(rotation=30)\n",
    "\n",
    "#设置画布大小\n",
    "fig = matplotlib.pyplot.gcf()\n",
    "fig.set_size_inches(16,10)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}