{ "metadata": { "celltoolbar": "Slideshow", "name": "", "signature": "sha256:e9553a2b14165185e72ccdce911ed030e0c902dd19f61cdce91a3cd0b571463a" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "import mpld3\n", "\n", "from IPython.display import HTML, display, YouTubeVideo\n", "\n", "# Load CSS\n", "display(HTML(open('style.css').read()))" ], "language": "python", "metadata": { "slideshow": { "slide_type": "skip" } }, "outputs": [ { "html": [ "\n" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 1 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "

IPython notebook

\n", "\n", "\n", "

widgets and alternative visulisation tools

\n", "\n", "\n", "

 \n", "

\n", "Ivan Zimine
\n", "vanzaj (@gmail, github, twitter)\n", "
\n" ] }, { "cell_type": "code", "collapsed": false, "input": [ "YouTubeVideo('wjSsISiacEU', width=600, height=400)" ], "language": "python", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "pyout", "prompt_number": 2, "text": [ "" ] } ], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "def embed_url(url, width=800, height=450):\n", " src=''.format(url, 800, 450)\n", " display(HTML(src))\n", " \n", "embed_url('http://worrydream.com/ExplorableExplanations/')" ], "language": "python", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "embed_url('https://en.wikipedia.org/wiki/Literate_programming')" ], "language": "python", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 4 }, { "cell_type": "code", "collapsed": false, "input": [ "embed_url('http://ipython.org/notebook.html')" ], "language": "python", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "html": [ "" ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 5 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## live code cells" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import random\n", "\n", "# generate a random number between 1000 and 9999\n", "n = random.randint(1e3, 1e4-1)\n", "n*2" ], "language": "python", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 6, "text": [ "15566" ] } ], "prompt_number": 6 }, { "cell_type": "markdown", "metadata": {}, "source": [ "Code cells are executable mini-editors. It's like having a bunch of interactive shells sharing the same namespace." ] }, { "cell_type": "code", "collapsed": false, "input": [ "if n < 5000:\n", " print('Smaller half')\n", "else:\n", " print('Bigger half')" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Bigger half\n" ] } ], "prompt_number": 7 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## live documentation" ] }, { "cell_type": "code", "collapsed": false, "input": [ "n = random.randint(1e3, 1e4-1) # that's 10^3\n", "print(n)" ], "language": "python", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "5405\n" ] } ], "prompt_number": 8 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "-" } }, "source": [ "$10^3$ is **much** better than '10^3' to explan '`1e3`'." ] }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## interaction with OS" ] }, { "cell_type": "code", "collapsed": false, "input": [ "%%bash\n", "\n", "#echo $PATH\n", "\n", "py=$(which python)\n", "echo \"Current python executable: $py\"" ], "language": "python", "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Current python executable: /Users/ivan/dev/pve/dev3/bin/python\n" ] } ], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "!ls ../data/" ], "language": "python", "metadata": { "slideshow": { "slide_type": "fragment" } }, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "2013-Nov_chicago-salaries.csv.gz UN_population.csv\r\n", "20131117_bash_history.txt countries.json\r\n", "UN_infant_mortality.csv population.txt\r\n" ] } ], "prompt_number": 10 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## interaction with OS" ] }, { "cell_type": "code", "collapsed": false, "input": [ "fls = !ls ../data/\n", "fls" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 11, "text": [ "['2013-Nov_chicago-salaries.csv.gz',\n", " '20131117_bash_history.txt',\n", " 'UN_infant_mortality.csv',\n", " 'UN_population.csv',\n", " 'countries.json',\n", " 'population.txt']" ] } ], "prompt_number": 11 }, { "cell_type": "code", "collapsed": false, "input": [ "!head ../data/{fls[-3]}" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\"Country\",\"Subgroup\",\"Year\",\"Unit\",\"Value\",\"Value Footnotes\"\r", "\r\n", "\"Afghanistan\",\"Female\",\"2005\",\"Number\",\"12082881\",\"\"\r", "\r\n", "\"Afghanistan\",\"Female\",\"2002\",\"Number\",\"9844300\",\"1\"\r", "\r\n", "\"Afghanistan\",\"Female\",\"2000\",\"Number\",\"9993697\",\"\"\r", "\r\n", "\"Afghanistan\",\"Female\",\"1995\",\"Number\",\"8792425\",\"\"\r", "\r\n", "\"Afghanistan\",\"Female\",\"1990\",\"Number\",\"6091918\",\"\"\r", "\r\n", "\"Afghanistan\",\"Female\",\"1985\",\"Number\",\"5933958\",\"\"\r", "\r\n", "\"Afghanistan\",\"Male\",\"2005\",\"Number\",\"12984526\",\"\"\r", "\r\n", "\"Afghanistan\",\"Male\",\"2002\",\"Number\",\"10453500\",\"1\"\r", "\r\n", "\"Afghanistan\",\"Male\",\"2000\",\"Number\",\"10743556\",\"\"\r", "\r\n" ] } ], "prompt_number": 12 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## rich output" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import pandas as pd\n", "\n", "df = pd.read_csv('../data/'+fls[-3])\n", "df.head(4)" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
CountrySubgroupYearUnitValueValue Footnotes
0 Afghanistan Female 2005 Number 12082881NaN
1 Afghanistan Female 2002 Number 9844300 1
2 Afghanistan Female 2000 Number 9993697NaN
3 Afghanistan Female 1995 Number 8792425NaN
\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 13, "text": [ " Country Subgroup Year Unit Value Value Footnotes\n", "0 Afghanistan Female 2005 Number 12082881 NaN\n", "1 Afghanistan Female 2002 Number 9844300 1\n", "2 Afghanistan Female 2000 Number 9993697 NaN\n", "3 Afghanistan Female 1995 Number 8792425 NaN" ] } ], "prompt_number": 13 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## rich output" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from sympy import init_printing, Symbol, cos, sin\n", "init_printing(use_latex='mathjax')\n", "\n", "x = Symbol('x')\n", "print(cos(x).series(x, 0, 7))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "1 - x**2/2 + x**4/24 - x**6/720 + O(x**7)\n" ] } ], "prompt_number": 14 }, { "cell_type": "code", "collapsed": false, "input": [ "display(cos(x).series(x, 0, 5))" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$$1 - \\frac{x^{2}}{2} + \\frac{x^{4}}{24} + \\mathcal{O}\\left(x^{5}\\right)$$" ], "metadata": {}, "output_type": "display_data", "text": [ " 2 4 \n", " x x \u239b 5\u239e\n", "1 - \u2500\u2500 + \u2500\u2500 + O\u239dx \u23a0\n", " 2 24 " ] } ], "prompt_number": 15 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## rich output 2.0" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.html.widgets import interact, ToggleButtonsWidget\n", "\n", "\n", "def show_series(n):\n", " display(cos(x).series(x, 0, n))\n", "\n", "\n", "interact(show_series, n=(3,25));" ], "language": "python", "metadata": {}, "outputs": [ { "latex": [ "$$1 - \\frac{x^{2}}{2} + \\frac{x^{4}}{24} - \\frac{x^{6}}{720} + \\frac{x^{8}}{40320} - \\frac{x^{10}}{3628800} + \\frac{x^{12}}{479001600} + \\mathcal{O}\\left(x^{14}\\right)$$" ], "metadata": {}, "output_type": "display_data", "text": [ " 2 4 6 8 10 12 \n", " x x x x x x \u239b 14\u239e\n", "1 - \u2500\u2500 + \u2500\u2500 - \u2500\u2500\u2500 + \u2500\u2500\u2500\u2500\u2500 - \u2500\u2500\u2500\u2500\u2500\u2500\u2500 + \u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500 + O\u239dx \u23a0\n", " 2 24 720 40320 3628800 479001600 " ] } ], "prompt_number": 16 }, { "cell_type": "code", "collapsed": false, "input": [ "import string\n", "\n", "def gen_passwd(length=6, punctuation=False):\n", " chars = string.ascii_letters + string.digits\n", " if punctuation:\n", " chars += string.punctuation\n", " passwd = [random.choice(chars) for _ in range(length)]\n", " return ''.join(passwd)\n", "\n", "\n", "def print_passwd(length=6, punctuation=False):\n", " print(\"New password: \" + gen_passwd(length, punctuation))\n", "\n", "\n", "interact(print_passwd, \n", " length=(6,20), \n", " punctuation={\"no\": False, \"yes\":True});" ], "language": "python", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "New password: qwR6Fd\n" ] } ], "prompt_number": 17 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## html5" ] }, { "cell_type": "code", "collapsed": false, "input": [ "from IPython.display import Audio, clear_output\n", "\n", "duration = 3\n", "sampling = 8000\n", "ts = np.linspace(0, duration, sampling*duration)\n", "\n", "def sig_gen(time, f0=220.0, f1=224.0):\n", " two_pi = 2*np.pi\n", " sig = np.sin(two_pi*f0*time) + np.sin(two_pi*f1*time)\n", " return sig\n", "\n", "display(Audio(data=sig_gen(ts), rate=sampling))" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 18 }, { "cell_type": "code", "collapsed": false, "input": [ "def play_sig(f0=220.0, f1=224.0):\n", " sig = sig_gen(ts, f0, f1)\n", " display(Audio(data=sig, rate=sampling, autoplay=True))\n", "\n", " \n", "interact(play_sig, f0=(200.0, 300.0), f1=(200.0, 300.0));" ], "language": "python", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "display_data", "text": [ "" ] } ], "prompt_number": 19 }, { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline" ], "language": "python", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [], "prompt_number": 20 }, { "cell_type": "code", "collapsed": false, "input": [ "def play_sig(f0=220.0, f1=224.0):\n", " sig = sig_gen(ts, f0, f1)\n", " display(Audio(data=sig, rate=sampling, autoplay=True))\n", " plt.plot(ts[:sampling/2], sig[:sampling/2])\n", "\n", " \n", "interact(play_sig, f0=(200.0, 300.0), f1=(200.0, 300.0));" ], "language": "python", "metadata": { "slideshow": { "slide_type": "-" } }, "outputs": [ { "html": [ "\n", " \n", " " ], "metadata": {}, "output_type": "display_data", "text": [ "" ] }, { "output_type": "stream", "stream": "stderr", "text": [ "-c:4: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n", "-c:4: DeprecationWarning: using a non-integer number instead of an integer will result in an error in the future\n" ] }, { "metadata": {}, "output_type": "display_data", "png": 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1WTz+FNLRlJNFLUmDj1/nmD+eOq32Yyem8qntWz18Hy1RhGLPP29/VsTPzxqf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\nMrXELkTkFrsmRbVr6wM5ij8lIXB7olSbpYESpjZ7qnN9OrG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BQUFBQUFBQUFBQUFBQUFB\nQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQUFBQW/i/wH3MWHLXv9h+gAAAABJRU5ErkJggg==\n", "text": [ "" ] } ], "prompt_number": 21 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## Alternative visualization" ] }, { "cell_type": "code", "collapsed": false, "input": [ "import mpld3\n", "mpld3.enable_notebook()" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 22 }, { "cell_type": "code", "collapsed": false, "input": [ "t = ts[:4000]\n", "s = sig_gen(t, f0=220.0, f1=224.0)\n", "\n", "plt.plot(t, s);" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", "\n", "\n", "\n", "
\n", "" ], "metadata": {}, "output_type": "display_data", "png": 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1WTz+FNLRlJNFLUmDj1/nmD+eOq32Yyem8qntWz18Hy1RhGLPP29/VsTPzxqf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\nMrXELkTkFrsmRbVr6wM5ij8lIXB7olSbpYESpjZ7qnN9OrG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"text": [ "" ] } ], "prompt_number": 23 }, { "cell_type": "code", "collapsed": false, "input": [ "npts = 50\n", "rnd_err = np.random.randn(npts)*15\n", "\n", "# simulate quadratic process\n", "a, b, c = 0.5, -2.4, -8.0\n", "x = np.linspace(-10, 20, npts)\n", "y = a * x**2 + b * x + c\n", "\n", "dat = y + rnd_err\n", "\n", "# fit\n", "p = np.polyfit(x, dat, 2)\n", "y_fit = np.polyval(p, x)\n", "\n", "#plt.plot(x, dat, 'ko', mfc='none');\n", "plt.plot(x, dat, 'ko');\n", "plt.plot(x, y, 'g');\n", "plt.plot(x, y_fit, 'r');" ], "language": "python", "metadata": { "slideshow": { "slide_type": "slide" } }, "outputs": [ { "html": [ "\n", "\n", "\n", "\n", "
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S4j8XsmzEQzz18xHOPfUEVV97V7X4YkIDppzEZrMRGxtr9bm8A6peC+9OA1tS\nENWnTwfdjLzYu/A3ksNyV46sPph8kOjPHqf3uPnUrhpKlcnf4Xf99S7bn7iWpil2owu1tVRgPhye\nCgM6wiPdM0j+x2BMr16wf79byyju5YzG04JISU9h3II3mda1AS+/tpDrXnqPqqu3KsgXQ0rdOMll\nDX7HgKlw+P5mtHv2NP9cuJ6+zZsS+MpI+Mc/oGRJt5SzKLlyeL43KqoUUqbJ5JstU1n+3jOMmnOa\noHbtKfv7BAgJcep+RPLD3W0aTpVXg19aRpr576r/mjbPVzRbbqpjzl3TwJjZs43JzHR3sV3GUxpA\ni5uFuxeavq9cZ9Y3LGtOXX+NMYsWubtI4mQ40BjrTu7+vJxu9uzZxmazmbCwMGOz2S4LakfPHDUv\nxr5o7n+0rDlUu5JJ7dDemK1b3VRa1/KEHibFyW9//2Ye+qiT+bpNOXOmcnmT8fFHxqSnu7tY4gIo\n0HuH/af2m6d+GGRe6lraJJcvbVKHDDLmyBF3F8upwsLCcgz0YWFh7i6a15k9e7bp3LmzCQsLM507\nd76kArHz6E7z2PT+ZuQ9ZczpCmVM2rBIY44fd9n+xP1Q90rvULNcTT6491Pi7xjOczOH0/KzKfS5\n5mtKjHiZEkOfgdKl3V3EQrvSICXl7/Mnt0FWiSmJLPdbQtC3Mxi7OJCyLW6jxIpoaNzYJfsD754X\nSNzH3SdGj7Hp4Cbzj7HtzaymQeZUlavM2XHvGpOamuc2edW6PKFGlleOXvn7/LssBVYRQzdMz14B\n5lC9qiatTStjFi923f6UcvM4KHXj3TYmbjQvvdPZ/NKohDlWvbxJ+ig6xwmmvCWI5tZmoWCSfxdS\nYJWtAN/+AczKcpgdZUtfsUHfkRO+Um6eDwV637DjyA7z9lv3mKX1A82h2hXN0S8+NCYj48LreQVK\nbwiiCib5k5mZaW7teavhAUy7PpjYipgdfpgHwHTp3DnPbR094XvD309xh2av9A0NKzdk+IhZ1N3w\nJzOGhLN71FASr67InvdHQWpqnkPp3T3MPj88ZZIxT5Wemc6036bR+vNWXFcmnlXzApnwDXx7HK43\nsDY0lKcjI/N8D0dvSlLUg7qkaLiyMbYLMA4IAD4H3nHhvnxS7fJ1GPLKDI4+c4T5E1+hxgdjKf3G\nO3StW5l1fpCc7bweFBSEyWVaCU8KopGRkcTHx18SiBRM4ETKCSZtnMT45f9Hvz+CiF2UylVBddgw\n2MawjRt6qqtsAAAMWUlEQVQ5k5pKh3wOsnL0hO8p8wKJdwgAdgH1gBLARuC6bOu4+wrI66RlpJlf\nvxtr5rQob/4OxrxWB1Ml2HNz9Hm50piD4iIzM9Os3LfSPPrjo6bGq1eZTwffbM5eXcuY2283JibG\n4UF1SsH4LjwoR98GyDpL0wj7Iyt3f15ebXL0KDP5+tLmWBBm6nVB5tPXBpn0DGuAjIKo5zuVcsp8\ntOYj0/yj5iZ8ZB2z6oHbTUalSsZ07eqUXjTecsKXgsOBQO+q2St7ATZgkP33fkArIOu1ub3MUhgn\n9+3i97EvcvXXMfxd2rDzgU60GPYWDWs3c3fRJJtMk8nivxYzZfMUZvz2Hf9MasKQFelU2fonfgMH\nwpAhUL++0/YXExOjFIwPcmT2SlcF+p5YOfo8A/3o0aMv/BIeHk54eLiLilMMZGTw1zefcCb6Xar9\ntod5bWsQMORJOtiGUKV0FXeXrtgyxrD50Ga+2vIVU7dO5Zq0cozcW587ft5GYPmKMHQo9OkDwcHu\nLqp4qLi4OOLi4i78/uqrr4KHBPrWwBisYA/wEpDJpQ2yqtG7SNqO7ex55yWqffczv1dMZ1X7hlTo\nP5i7W/WjapmquW6n0arOERMTw9ufvE1CxQQOhxymYplg3klryz0rj3PV2s3QvTsMHgxt2oCfO28J\nId7IkRq9qwQC8ViNsSVRY6x7nDtnzs6YbvZ2aWNOB5cwM5sEmpFDm5pPlkWbxKTES1ZVTrdwMjIz\nzMp9K839H99vSjxTwvAcpk0bzMdlMcf8/c3h5s2NmTzZmORkdxdVvBwelKMHuIuL3SsnAG9le91e\nZikSJ0+S+u3XnPr8A4K272RGY1jXsjYVI3rR8fp7eO2J1/hl3i+Xbebqux95szNpZ1iwewEz/5jJ\nrB2zqFKqItfPO0GruER6JFv3oJkETAGa6HMUJ/GkHH1+KNC7y19/kTF9GsnTv6Lkb9tZ1iiYybVP\nMsvfcGIvsBs4bq0aFhZ2SX6wOEtNT2XV/lUs2L2AhXsWsu7AOtpUvYknkxrRYVMS5efFsSs5mS9P\nn+YHYEuWbfU5irMo0EvBHT4Ms2ez9KUXaHb4KGsqw5zr4Ne6sPksXFumEVPenEKLkBYE+hfNZKee\n0laQlJrE+sT1LN+3nIV7FrIiYQXXVW5M75I3EvFXKa7dtI/AhYugSRPo0QN69MD25JNuuS+sFB+O\nBHpNU1zcVa0Kjz7KyWrVuG3oUEJ378Z2GAb5Q9UAP35vcoK5z3ZjcM2TVGzeiltq3krzkOY0r96c\nRlUaOT34u2ua3NT0VDYd2sSa/WtYc8B67Dmxh2bVm9Gh9A289XczbvijOqUWLob0GOjYEXr0hA8/\nvuQWfYUZ9espJzjxParRywXZ+10//+CDdAwIgF9/JeOX+aSdO8uf19VgfS0/5lU6xvwKx6hV53pa\nVG9Bs+rNuLbytTSo2IB6FepRKjDn+WyuxGazubRGfPrcabYf2c72I9v5/cjv1uPw7+w5sYeGlRty\nW5Wb6Hw6hFv3ZlBzewL+q9dYVz3h4VZw79gRGjUiZs6cXIOyI/3XczrBhYaGEhUVpWAvl1Dqxgd5\nTC3PGPjzT1i1CtasgTVrMBs3khJSmX0NQ9hUpwTrKp5lWfAR1vgnUv2qGjSo2IAGFRpQv2J9QsqG\nUK1MtUseZUuWvWw34eHhLFq06LLlV8pxZ5pMTqWe4kTKCRKTEkk4lXDxkWT93HtyL0fPHKVh5YZc\nV7kxtwRczc0ngrn27wyq/3WUwLXr4LffoFEjaNUKWra0fjZuDAEBF/bliqDs6hOc+A4Feh/j8bW8\n9HTYtg3WrrUev/8Of/yBOXmSc6H1OHF1NRJqlmFXZX/2lE0nPvgsf5RKYm/6UQ4lH8LPz49KwZUo\nXaI0pUuUJjgwmD+2/sGxQ8cgHcjAml/VD6qFVKP1ba1Jz0wnIzODM2lnOJl6khMpJziRcoLkc8mU\nLVmW8qXKE1I2hDrl61A3KITGqVfR4Gwpap+CasdSqfDX3/hv326V1c8PrrvOejRpArfeCjfeeMU7\nfLkiKDt6gpPiRzl6H5PXVLMeEegDA6FZM2L27SM6Pp5UYyjVtCnPPvYYtvr1qf7HH1Tfvp2bd+6E\nAwcuPkqWhJp1yQipTkqV8pwrHcS54FKkBgey43B55q1dzv4zp0gJBL9MqFi+PHdWv41rEq8hwM+f\nAONHUAaUTcmkTEoGwWfSKJmcgn9SEpw8CQcPwv6lcPw41KgBtWpB7drW49Zb4eGHreBetWqeA5Zy\nu5pyxVTQmrpZXEmB3oN5w9zyuTWeRkVFEdGv3+UbGAMnTsCBAwQcOECZQ4cok5wMSUmQlMTVfhW4\ntn4mf27eTEBKGv4BATS46hpqJAbAwT1WYPbzg6AguOoqKF8eQqpbz88/QkKsoF6tGvg7dsuFvBqF\nXRGUNXWz+Cr3DCvzQLnd8s0bppr1hjI6Iq/jctUoYs06KvmBAyNjVaN3s7xqjq6o5Tm7cdcbrjoc\nkddxuermHBEREZ6RkhOfo0DvZnnl4c837DkroLiij3pR55aLqhfSlY5LQVkkf9x9BeQRivJG2a5I\nsxTlZGi+ui+RgkCpG+9TlDViV6RZivIeo1fqheTM2r7unSq+RIHezYqyt4WrTipFlcbI60TlirSU\n0jPiKxTo3awoa47e3oUvrxOVx485EHEjBXoPUFQ1R29PR+R1oho7dmyO23h77x8RZ1CgL2a8OR2R\n14kqOjo6x200slREc92Ij/D4eYFEnERz3YjLeMwsmrnw9rSUiCupRi9XpNqyiOfQNMXiEporXcRz\nOBLoHZvaT4oVX53PRqS4UKCXK9Jc6SLeTYFerigyMpLQ0NBLlnnTQCuR4k69buSK1KNFxLupMVZE\nxIuoMVZERC6jQC8i4uMU6EVEfJwCvYiIj1Ogl2ItJiYGm81GeHg4NpuNmJgYdxdJxOnUvVKKLVfc\nlUrEE6l7pRRbmsNHvJG6V4oUgObwkeJCgV6KLc3hI8WFAr0UW5rDR4qLwjTGjgEeBw7bf38Z+Nn+\n/CVgIJABRAKXJ0JF3Exz+EhxUZjG2NFAEvB+tuXXA18DtwK1gF+Aa4HMbOv5dGNsXFwc4eHh7i6G\ny+j4vJsvH58vHxu4pzE2p511B6YCacAeYBfQspD78TpxcXHuLoJL6fi8my8fny8fm6MKG+iHApuA\nCUAF+7KaQEKWdRKwavYiIuIGVwr084EtOTy6AR8B9YEWQCLwXh7v47s5GhERD+esAVP1gFlAU2CE\nfdnb9p9zsfL5q7JtswsIRURECiIeuKaodlYjy/N/YjXAgtUYuxEoiVXjj8e9I3BFRMRBk4HNWDn6\nH4HqWV57GavGvh2wFX3RRERERETEZXoDv2ENprop22svATuxrgQ6F3G5XGEMVq+jDfZHF7eWxnm6\nYH1HO4Hhbi6LK+zBulrdAKx2b1EKbSJwCKsTxXmVsDpa7MAazFghh+28RU7HNwbf+b+rAyzEiplb\nsQagghd8h42xBlAt5NJAfz63XwKrcXcX3j9Fw2jgWXcXwskCsL6beljf1UbgOncWyAV2Y/0j+YJ2\nwI1cGgj/A7xofz6cix0nvFFOx+dL/3chWD0bAcoCf2D9vxXoO3RHIN2OdRbKzlcHWvlaQ3RLrO9m\nD9Z39Q3Wd+drfOV7WwIcz7asGzDJ/nwScG+Rlsi5cjo+8J3v7yBWZQogGfgda1xSgb5DT6ox++pA\nq5wGlXmzWsC+LL/7yveUlcGaumMtMMjNZXGF6ljpDuw/q+exrrfytf87sK6ib8Tqql6g79BVgT63\ngVZdC/g+3jDQylmDyryFN3wnhdUW6x/qLuAfWOkBX2Xwve/UF//vygLfA8Ow5hjL6orfoatuJdjJ\ngW32YzU8nFfbvszT5fdYP8caVObtsn9Pdbj0SswXJNp/HgZ+wEpXLXFfcZzuEFbu9yDWeJi/3Vsc\np8t6PL7wf1cCK8h/idWVHQr4Hbo7dZM1jzYT6MPFgVYN8f4eD1kHlfXg0gYjb7UW67uph/VdPYD1\n3fmK0kA5+/MyWL2/fOF7y2omMMD+fAAXg4ev8KX/Oz+s9NM2YFyW5R7/HfbAyvGexTob/ZzlNV8b\naJXXoDJvdhdW6/8urC6xvqQ+VuPXRqzubN5+fFOBA8A5rP+7R7F6FP2CB3fNK4DsxzcQ3/q/ux1r\niveNXNpd1Je+QxERERERERERERERERERERERERERERERERGR/Pt/9CMCWcumf7MAAAAASUVORK5C\nYII=\n", "text": [ "" ] } ], "prompt_number": 24 }, { "cell_type": "markdown", "metadata": { "slideshow": { "slide_type": "slide" } }, "source": [ "## seaborn" ] }, { "cell_type": "code", "collapsed": false, "input": [ "mpld3.disable_notebook()\n", "npts = 500\n", "x1 = np.random.normal(-1, 1, size=npts)\n", "x2 = np.random.normal(1, 1, size=npts)\n", "x3 = np.random.normal(2, 1, size=npts)\n", "\n", "plt.hist(x1, normed=True);\n", "plt.hist(x2, normed=True);\n", "plt.hist(x3, normed=True);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 25 }, { "cell_type": "markdown", "metadata": {}, "source": [ "`matplotlib` is a good plotting library. It can be used to create beautiful visualizations, but not with the default plotting style." ] }, { "cell_type": "code", "collapsed": false, "input": [ "# better default plotting style\n", "import seaborn as sb\n", "\n", "plt.hist(x1, normed=True);\n", "plt.hist(x2, normed=True);\n", "plt.hist(x3, normed=True);" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 26 }, { "cell_type": "code", "collapsed": false, "input": [ "# works with d3\n", "mpld3.enable_notebook()\n", "\n", "plt.hist(x1, normed=True);\n", "plt.hist(x2, normed=True);\n", "plt.hist(x3, normed=True);" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", "\n", "\n", "\n", "
\n", "" ], "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 27 }, { "cell_type": "code", "collapsed": false, "input": [ "# lot's of styles and helper plots\n", "sb.set_style('whitegrid')\n", "\n", "sb.set_palette(\"deep\")\n", "#sb.set_palette(sb.color_palette(\"Set2\"))\n", "\n", "nbins = 10\n", "sb.distplot(x1, bins=nbins);\n", "sb.distplot(x2, bins=nbins);\n", "sb.distplot(x3, bins=nbins);" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "\n", "\n", "\n", "\n", "
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THbWkFz2OKpfJb2x0vS0hukECtDgSosk8W4k806MBXIectz0qJof9uJy29nrQ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\nhq0nzlB1dT/YOE6DVmSo0spPp9spFm+sQrZSlbJFq5K5/eZuk4X16IC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