Created
November 24, 2013 13:02
-
-
Save Honghe/7627039 to your computer and use it in GitHub Desktop.
test
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
{ | |
"metadata": { | |
"name": "" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%automagic" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"output_type": "stream", | |
"stream": "stdout", | |
"text": [ | |
"\n", | |
"Automagic is ON, % prefix IS NOT needed for line magics.\n" | |
] | |
} | |
], | |
"prompt_number": 7 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"%load /tmp/tmp.py" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 5 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"\n", | |
"path = 'usagov_bitly_data2013-05-17-1368832207.txt'\n", | |
"import json\n", | |
"records = [json.loads(line) for line in open(path)]\n", | |
"from pandas import DataFrame, Series\n", | |
"import pandas as pd\n", | |
"frame = DataFrame(records)\n", | |
"get_ipython().magic(u'page frame')\n" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 15 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"clean_tz = frame['tz'].fillna('Missing')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 16 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"clean_tz[clean_tz == ''] = 'Unknown'" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 17 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"tz_counts = clean_tz.value_counts()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 18 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"tz_counts[:10]" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 19, | |
"text": [ | |
"America/New_York 903\n", | |
"America/Chicago 686\n", | |
"Unknown 636\n", | |
"America/Los_Angeles 421\n", | |
"America/Puerto_Rico 184\n", | |
"Missing 120\n", | |
"Asia/Tokyo 102\n", | |
"America/Denver 89\n", | |
"Europe/London 85\n", | |
"America/Indianapolis 50\n", | |
"dtype: int64" | |
] | |
} | |
], | |
"prompt_number": 19 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"tz_counts[:10].plot(kind='barh', rot=0)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 20, | |
"text": [ | |
"<matplotlib.axes.AxesSubplot at 0xbaa48ec>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAdYAAAD7CAYAAADXX7UGAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xbaa450c>" | |
] | |
} | |
], | |
"prompt_number": 20 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import random" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 21 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"position = 0" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 22 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"walk = [position]" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 23 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"steps = 1000" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 24 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"for i in xrange(steps):\n", | |
" step = 1 if random.randint(0,1) else -1\n", | |
" position += step\n", | |
" walk.append(position)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 26 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"plt.plot(walk)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 28, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0xbc1db4c>]" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAXgAAAEACAYAAAC57G0KAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n9f8Bn+kdSoKthgMAAAAASUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xb9c46ec>" | |
] | |
} | |
], | |
"prompt_number": 28 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"nsteps = 1000\n", | |
"draws = np.random.randint(0, 2, size=nsteps)\n", | |
"steps = np.where(draws > 0, 1, -1)\n", | |
"walk = steps.cumsum()\n", | |
"plt.plot(walk)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 46, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0xd0889ec>]" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAEACAYAAAC6d6FnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYQFgGIaJUFgAGIZhIpT/B8vH/ZFCr1tAAAAAAElFTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0xcf3c24c>" | |
] | |
} | |
], | |
"prompt_number": 46 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"draws = np.random.randint(0, 2, size=nsteps)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 31 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"draws?" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 32 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"steps = np.where(draws > 0, 1, -1)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 33 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"steps?" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 34 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"walk = steps.cumsum()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 35 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"walk.min(), walk.max()" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 36, | |
"text": [ | |
"(-20, 19)" | |
] | |
} | |
], | |
"prompt_number": 36 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"plt.plot(walk)" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "pyout", | |
"prompt_number": 37, | |
"text": [ | |
"[<matplotlib.lines.Line2D at 0xb3d04ec>]" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAEACAYAAAC6d6FnAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nTkSuQmCC\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x9ffd56c>" | |
] | |
} | |
], | |
"prompt_number": 37 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment