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August 11, 2015 08:09
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{ | |
"metadata": { | |
"name": "", | |
"signature": "sha256:9bcc563945d81032463d75352c32f5b4625886a493e95fbda6f374d702cd0195" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"import matplotlib.pyplot as plt\n", | |
"import datetime\n", | |
"import matplotlib\n", | |
"import pandas as pd\n", | |
"\n", | |
"# format:\n", | |
"# (date_str, (size, time, count))\n", | |
"doubandb = [\n", | |
" ('2015-07-01', (827122952, 1510302, 2021892)),\n", | |
" ('2015-07-02', (561357782, 1141861, 1716596)),\n", | |
" ('2015-07-03', (482961049, 1049917, 1700020)),\n", | |
" ('2015-07-04', (517996241, 1034479, 1947323)),\n", | |
" ('2015-07-05', (670038893, 1088761, 1866506)),\n", | |
" ('2015-07-06', (418063944, 1098824, 1876753)),\n", | |
" ('2015-07-07', (516126605, 1434632, 2116684)),\n", | |
" ('2015-07-08', (640799732, 1223890, 2193206)),\n", | |
" ('2015-07-09', (759696661, 1377379, 2228817)),\n", | |
" ('2015-07-10', (739506087, 1367375, 2408158)),\n", | |
" ('2015-07-11', (542037729, 939602, 1590419)),\n", | |
" ('2015-07-12', (431695070, 933574, 1443650)),\n", | |
" ('2015-07-13', (579831766, 1154078, 2150469)),\n", | |
" ('2015-07-14', (559099984, 1226973, 2103005)),\n", | |
" ('2015-07-15', (725212266, 1390483, 2384608)),\n", | |
" ('2015-07-16', (797261131, 954883, 1708094)),\n", | |
" ('2015-07-17', (766501345, 663063, 2336143)),\n", | |
" ('2015-07-18', (724680982, 646223, 2109851)),\n", | |
" ('2015-07-19', (573468945, 717789, 2140684)),\n", | |
" ('2015-07-20', (663662418, 720849, 2157612)),\n", | |
" ('2015-07-21', (777995687, 854545, 2455198)),\n", | |
" ('2015-07-22', (1052033362, 869174, 2457650)),\n", | |
" ('2015-07-23', (681614242, 938305, 1917099)),\n", | |
" ('2015-07-24', (751534134, 963746, 2510812)),\n", | |
" ('2015-07-25', (1019657549, 665136, 1972165)),\n", | |
" ('2015-07-26', (485678059, 1666862, 1343281)),\n", | |
" ('2015-07-27', (393512200, 598510, 1814877)),\n", | |
" ('2015-07-28', (519747198, 589113, 1847611)),\n", | |
" ('2015-07-29', (707864459, 496496, 1889569)),\n", | |
" ('2015-07-30', (755676198, 548597, 1891054))]\n", | |
"\n", | |
"doubanfs = [\n", | |
" ('2015-07-01', (25013365549, 2400579, 384550)),\n", | |
" ('2015-07-02', (32996971807, 2755124, 362663)),\n", | |
" ('2015-07-03', (23128920027, 1813748, 268836)),\n", | |
" ('2015-07-04', (25354534989, 1897346, 299696)),\n", | |
" ('2015-07-05', (31501269603, 2647430, 333977)),\n", | |
" ('2015-07-06', (21032252892, 1738699, 275798)),\n", | |
" ('2015-07-07', (28793116067, 2487130, 370455)),\n", | |
" ('2015-07-08', (27375407282, 2668882, 431157)),\n", | |
" ('2015-07-09', (21687451873, 2143590, 790347)),\n", | |
" ('2015-07-10', (27321075721, 2670760, 838274)),\n", | |
" ('2015-07-11', (19623765757, 1584675, 259313)),\n", | |
" ('2015-07-12', (19821183010, 1657196, 219005)),\n", | |
" ('2015-07-13', (25924725232, 2299247, 364156)),\n", | |
" ('2015-07-14', (33016322424, 2880601, 587132)),\n", | |
" ('2015-07-15', (28523341187, 2584936, 529199)),\n", | |
" ('2015-07-16', (13384702922, 855763, 162825)),\n", | |
" ('2015-07-17', (26492559026, 1272433, 443714)),\n", | |
" ('2015-07-18', (19588795649, 932296, 315726)),\n", | |
" ('2015-07-19', (22861195264, 1287843, 377463)),\n", | |
" ('2015-07-20', (26853171677, 1567756, 442010)),\n", | |
" ('2015-07-21', (21104562651, 1246534, 318146)),\n", | |
" ('2015-07-22', (20354812558, 1127847, 273206)),\n", | |
" ('2015-07-23', (18734973752, 915194, 259399)),\n", | |
" ('2015-07-24', (16063205452, 749097, 218734)),\n", | |
" ('2015-07-25', (17742567066, 790187, 239638)),\n", | |
" ('2015-07-26', (13702682042, 691190, 151189)),\n", | |
" ('2015-07-27', (20059859752, 1028348, 364768)),\n", | |
" ('2015-07-28', (24564604543, 1529782, 338828)),\n", | |
" ('2015-07-29', (21448258093, 1168088, 259467)),\n", | |
" ('2015-07-30', (21181147164, 1172137, 284984))]" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 16 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"def change_format(lines):\n", | |
" for line in lines:\n", | |
" date_str, (size, time, count) = line\n", | |
" yield (date_str, float(size)/count, float(time)/count)\n" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 10 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"db = pd.DataFrame(list(change_format(doubandb)))\n", | |
"fs = pd.DataFrame(list(change_format(doubanfs)))" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [], | |
"prompt_number": 20 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [ | |
"def plot(data, cluster):\n", | |
" dates = [datetime.datetime.strptime(x, '%Y-%m-%d') for x in data[0]]\n", | |
" fig, (ax1, ax2) = plt.subplots(nrows=2, sharex=True)\n", | |
" ax1.set_title('%s-set-avg-%s' % (cluster, 'size'))\n", | |
" ax2.set_title('%s-set-avg-%s' % (cluster, 'time'))\n", | |
" ax1.plot_date(dates, data[1], 'r-', xdate=True, ydate=False)\n", | |
" ax2.plot_date(dates, data[2], 'b-', xdate=True, ydate=False)\n", | |
" fig.autofmt_xdate()\n", | |
" plt.show()\n", | |
"\n", | |
" \n", | |
"plot(db, 'db')\n", | |
"plot(fs, 'fs')" | |
], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
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psR03dKgsP/8MpUsnRxuQJeH6Ie2AGodEyc+HiRNhyBCYPFnGJ4wfn/h5582T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\n9to4/AnUdryvjbQenJwFPGO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| |
"text": [ | |
"<matplotlib.figure.Figure at 0x5b6fed0>" | |
] | |
}, | |
{ | |
"metadata": {}, | |
"output_type": "display_data", | |
"png": 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6pJsTcEjXRloWC5DopZ+R+kxOh3Qj4D+II/py1CEde556SmL3Bw1y97jp6WJ8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\nDadq7UUXyXf44oux06Uoiv8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IRG/YYWrFkZtbX+v9fYgTKL9IhUJE9yfzixa/\n6IhGi31OZ6RLYaJrAvtFi190RKPFfhJ35lVEW1LBL1r8osNvWhKOc5H4/7qIV/4Ca3kHpK5KZ+RP\nNQFxTuUWreDGRfOLFr/ocFOLG6GZftHiFx3RaAkWKposWvyiw29aEgr7AnyEhIldjxTcsumPhK8V\nQ8LZfiD3JJhk0eIXHarF3zpUi791+E1LwmFfvNLAPiTufCRwq7W8DbAJKaQHUhQs2bX4RYdq8bcO\n1eJvHX7TkpDYTet+SIJJByRiojGS/TeGrI5Vtxx3ftbiFx2qxd86VIu/dfhNS0LzN3AFEtr1PRKO\nWdC1+EWHavG3DtXibx1+05Iw2I7T64EV1rxzYI14Fo/yixa/6FAt/tahWvytw29aEhK7OfUt0jcH\n0Yf5JboWv+hQLf7WoVr8rcNvWnxBOOFXBskSTAPWWsuiyUKMBr9o8YsO1eJvHarF3zr8psUXhGsV\nmyK1gfIaESte+EWLX3SAavGzDlAtftYB/tKiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIqiKIpSQPg/\nIddxCi90ESoAAAAASUVORK5CYII=\n", | |
"text": [ | |
"<matplotlib.figure.Figure at 0x56633d0>" | |
] | |
} | |
], | |
"prompt_number": 39 | |
}, | |
{ | |
"cell_type": "code", | |
"collapsed": false, | |
"input": [], | |
"language": "python", | |
"metadata": {}, | |
"outputs": [] | |
} | |
], | |
"metadata": {} | |
} | |
] | |
} |
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