{
 "metadata": {
  "name": "_scratch"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from pandas import *\n\n# read data from data file into a pandas DataFrame  \nM1 = read_table(\"http://eagle.fish.washington.edu/cnidarian/BiGo_lar_M3_methratio_CG.txt\", # name of the data file\n            #sep=\",\", # what character separates each column?\n            na_values=[\"\", \" \"]) # what values should be considered \"blank\" values?",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": "\n"
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "M1['score'].hist(bins=50);\n#Axis limits are changed using the axis([xmin, xmax, ymin, ymax]) function.\n#plt.axis([0, 1, 0, 10000])\n\n\n",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": "<matplotlib.axes.AxesSubplot at 0x1072c4e90>"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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1fcCAmfJatmyluXTpUizDEBG558T4Nh8lpqmkBx98EIAHHniAp556ilOnTuFyubh48SIA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\nwiAiIlH+P2xKNsQegW54AAAAAElFTkSuQmCC\n",
       "text": "<matplotlib.figure.Figure at 0x1072c7c50>"
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from pandas import *\n\n# read data from data file into a pandas DataFrame  \nT1D5 = read_table(\"http://eagle.fish.washington.edu/cnidarian/BiGo_lar_T1D5_methratio_CG.txt\", # name of the data file\n            #sep=\",\", # what character separates each column?\n            na_values=[\"\", \" \"]) # what values should be considered \"blank\" values?",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 4
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "T1D5['score'].hist(bins=50);\n#Axis limits are changed using the axis([xmin, xmax, ymin, ymax]) function.\n#plt.axis([0, 1, 0, 10000])\n",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 5,
       "text": "<matplotlib.axes.AxesSubplot at 0x107b8a610>"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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++utXdRZj97vrrrvkRz/6kbS2tsZgpTNvKll8/vnn4vF4pLe3V0RE/v3vf8di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\nERHpsBiIiEiHxUBERDosBiIi0vl/fXsGqMG0diUAAAAASUVORK5CYII=\n",
       "text": "<matplotlib.figure.Figure at 0x107b6cd90>"
      }
     ],
     "prompt_number": 5
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "from pandas import *\n\n# read data from data file into a pandas DataFrame  \nT1D3 = read_table(\"http://eagle.fish.washington.edu/cnidarian/BiGo_lar_T1D3_methratio_CG.txt\", # name of the data file\n            #sep=\",\", # what character separates each column?\n            na_values=[\"\", \" \"]) # what values should be considered \"blank\" values?",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "T1D3['score'].hist(bins=50);\n#Axis limits are changed using the axis([xmin, xmax, ymin, ymax]) function.\n#plt.axis([0, 1, 0, 400000])",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": "<matplotlib.axes.AxesSubplot at 0x106d46a10>"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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jY/T39xOJRCgrK6OwsJC8vDzC4TDGGDo6Oqx1RERkbkxZAOrq6vj617/Ou+++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\nZKn/D2IWpEjN6QRGAAAAAElFTkSuQmCC\n",
       "text": "<matplotlib.figure.Figure at 0x106cd86d0>"
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "#m3\nfrom pandas import *\n\n# read data from data file into a pandas DataFrame  \nm3 = read_table(\"http://eagle.fish.washington.edu/cnidarian/BiGo_lar_M3_methratio_CG.txt\", # name of the data file\n            #sep=\",\", # what character separates each column?\n            na_values=[\"\", \" \"]) # what values should be considered \"blank\" values?\n",
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 1
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "m3['score'].hist(bins=50);\n#Axis limits are changed using the axis([xmin, xmax, ymin, ymax]) function.\n#plt.axis([0, 1, 0, 400000])",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 2,
       "text": "<matplotlib.axes.AxesSubplot at 0x1066d05d0>"
      },
      {
       "metadata": {},
       "output_type": "display_data",
       "png": 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TUxOlpaWcOXOGkpISmpqaAOjr6+PgwYP09fURDAbZs2ePtehRV1dHIBAgFAoR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\n",
       "text": "<matplotlib.figure.Figure at 0x1066d0150>"
      }
     ],
     "prompt_number": 2
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "boop['score'].hist(bins=100);\n#Axis limits are changed using the axis([xmin, xmax, ymin, ymax]) function.\nplt.axis([0, 1, 0, 100000])",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "NameError",
       "evalue": "name 'boop' is not defined",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-6-7a84e7e60cce>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mboop\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'score'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhist\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbins\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m100\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m;\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0;31m#Axis limits are changed using the axis([xmin, xmax, ymin, ymax]) function.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m100000\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mNameError\u001b[0m: name 'boop' is not defined"
       ]
      }
     ],
     "prompt_number": 6
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "pwd",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": "u'/Users/sr320/Dropbox/Steven/ipython_nb'"
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "import requests\nfrom requests_oauthlib import OAuth1\nimport json\n\n\nclient_key = '123456'\nclient_secret = '65xyAzi1'\ntoken_key = 'n4oTQ22l4FxsuQlYZlhCFwYrrSgrlPn1lhIx32uzwzAwn4oTQ22l4FxsuQlYZlhC1F'\ntoken_secret = '0MNOqkQncNHuKTi6fQ8MuA'\noauth = OAuth1(client_key=client_key, client_secret=client_secret,\n               resource_owner_key=token_key, resource_owner_secret=token_secret,\n               signature_type = 'auth_header')\n\nclient = requests.session()\n\nresponse = client.get('http://api.figshare.com/v1/my_data/authors?search_for=John Silva', auth=oauth)\nresults = json.loads(response.content)\nprint results",
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "ename": "ImportError",
       "evalue": "No module named requests_oauthlib",
       "output_type": "pyerr",
       "traceback": [
        "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m\n\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
        "\u001b[0;32m<ipython-input-17-2cb9450824fd>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mrequests\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0;32mfrom\u001b[0m \u001b[0mrequests_oauthlib\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mOAuth1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      3\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mjson\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
        "\u001b[0;31mImportError\u001b[0m: No module named requests_oauthlib"
       ]
      }
     ],
     "prompt_number": 17
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": "",
     "language": "python",
     "metadata": {},
     "outputs": []
    }
   ],
   "metadata": {}
  }
 ]
}