data_geeks_team_calendar.orig.ipynb
137 lines
| 68.2 KiB
| text/plain
|
TextLexer
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r9044 | { | ||
"metadata": { | ||||
"name": "data_geeks_team_calendar" | ||||
}, | ||||
"nbformat": 3, | ||||
"nbformat_minor": 0, | ||||
"worksheets": [ | ||||
{ | ||||
"cells": [ | ||||
{ | ||||
"cell_type": "code", | ||||
"collapsed": false, | ||||
"input": [ | ||||
"#! /usr/bin/env python\n", | ||||
"'''\n", | ||||
"github_team_calendar.py\n", | ||||
"Python program to scrape friends github to build team calendar for github\n", | ||||
"'''\n", | ||||
"\n", | ||||
"\n", | ||||
"import json\n", | ||||
"import requests\n", | ||||
"import pandas as pd\n", | ||||
"\n", | ||||
"\n", | ||||
"def line_draw_target(target): \n", | ||||
" github_url = 'https://github.com/users/%s/contributions_calendar_data' \n", | ||||
" r = requests.get(github_url % target) \n", | ||||
" data = json.loads(r.text) \n", | ||||
" dates, contributions = zip(*data) \n", | ||||
" ts = pd.Series(contributions, index=dates)\n", | ||||
" plt.plot(ts)" | ||||
], | ||||
"language": "python", | ||||
"metadata": {}, | ||||
"outputs": [], | ||||
"prompt_number": 1 | ||||
}, | ||||
{ | ||||
"cell_type": "code", | ||||
"collapsed": false, | ||||
"input": [ | ||||
"target = \"mikedewar\"\n", | ||||
"line_draw_target(target)\n", | ||||
" " | ||||
], | ||||
"language": "python", | ||||
"metadata": {}, | ||||
"outputs": [ | ||||
{ | ||||
"output_type": "display_data", | ||||
"png": 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feZXveH/+OfDP/5z7GTr1gFRX25PoL18OfOlLtnMbGcl+o4uf1dXV9kF15rCl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\nijohhBgERZ0QQgzi/wHFjG2oIkSAVAAAAABJRU5ErkJggg==\n" | ||||
} | ||||
], | ||||
"prompt_number": 2 | ||||
}, | ||||
{ | ||||
"cell_type": "code", | ||||
"collapsed": false, | ||||
"input": [ | ||||
"target = \"drewconway\"\n", | ||||
"line_draw_target(target)" | ||||
], | ||||
"language": "python", | ||||
"metadata": {}, | ||||
"outputs": [ | ||||
{ | ||||
"output_type": "display_data", | ||||
"png": 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eddddaZ0mrmfA9OnT8d3vfhf/+Mc/jFzPbJ2HDh0yaj3379+PHTt24Prrr8fq\n1auxZ88erF27NvK1jDTUTT5/vb+/H5999hkAoK+vD6+//jpqa2uxYsUKtLW1AQDa2trSB5du8ula\nsWIFtm3bhsHBQXR2duL9999Pn8mjg56envTXr7zySvrMGF06hRBYt24dqqursXHjxvTjpq1nPp2m\nrefHH3+cblkMDAzgjTfeQDKZNG498+kMwhLQv56bN29Gd3c3Ojs7sW3bNtx888148cUXo1/LqCe7\nu3btEpWVlaKiokJs3rw56qeX5sMPPxR1dXWirq5O1NTUpLWdPXtW3HLLLWLBggWisbFRfPLJJ8q1\n3XHHHWL27NmiuLhYlJeXi9///vfj6vrlL38pKioqxFe/+lXR3t6uTefzzz8v1q5dK2pra8XixYvF\n9773PXH69GmtOjs6OkQikRB1dXWivr5e1NfXi927dxu3nrl07tq1y7j1/Ne//iWSyaSoq6sTtbW1\n4le/+pUQYvzjxiSdpq1nQCqVSp/9EvVaSt3QixBCiJnE/pePCCGEqIOhTgghDsFQJ4QQh2CoE0KI\nQzDUCSHEIRjqhBDiEP8PUcLgDpuXfHoAAAAASUVORK5CYII=\n" | ||||
} | ||||
], | ||||
"prompt_number": 3 | ||||
}, | ||||
{ | ||||
"cell_type": "code", | ||||
"collapsed": false, | ||||
"input": [ | ||||
"target = \"hmason\"\n", | ||||
"line_draw_target(target)" | ||||
], | ||||
"language": "python", | ||||
"metadata": {}, | ||||
"outputs": [ | ||||
{ | ||||
"output_type": "display_data", | ||||
"png": 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UDA25ce5NlQPDw5lzcsGC8Z06oe4oV69Td6UeIB979khPPTX1bdLpzBbGzp1WSppSNtR/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\nOgB4hFAHAI/8H2pb2BqPzqXfAAAAAElFTkSuQmCC\n" | ||||
} | ||||
], | ||||
"prompt_number": 4 | ||||
}, | ||||
{ | ||||
"cell_type": "code", | ||||
"collapsed": false, | ||||
"input": [ | ||||
"target = \"mbostock\"\n", | ||||
"line_draw_target(target)" | ||||
], | ||||
"language": "python", | ||||
"metadata": {}, | ||||
"outputs": [ | ||||
{ | ||||
"output_type": "display_data", | ||||
"png": 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cOWokM3my/1FCWtraqAM2UqLucDjgcDhCtr1RPc7OYrHAYrF4/btW1L3hzal3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\nFfVJk4zjF29O/ehR4Ec/8t7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yEna7HQBgt9tRUVER0fKsWLECKbpByN7K9OKLL+L6669H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\n" | ||||
} | ||||
], | ||||
"prompt_number": 5 | ||||
}, | ||||
{ | ||||
"cell_type": "code", | ||||
"collapsed": false, | ||||
"input": [ | ||||
"target = \"amueller\"\n", | ||||
"line_draw_target(target)" | ||||
], | ||||
"language": "python", | ||||
"metadata": {}, | ||||
"outputs": [ | ||||
{ | ||||
"output_type": "display_data", | ||||
"png": 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674Ohnj08ipJq6HCrd999F3/605/w2muvAQDeeust/OUvf8HmzZvVjWppSURE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\n" | ||||
} | ||||
], | ||||
"prompt_number": 6 | ||||
}, | ||||
{ | ||||
"cell_type": "code", | ||||
"collapsed": false, | ||||
"input": [], | ||||
"language": "python", | ||||
"metadata": {}, | ||||
"outputs": [] | ||||
} | ||||
], | ||||
"metadata": {} | ||||
} | ||||
] | ||||
} | ||||