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@astrojuanlu
Created November 20, 2013 10:15
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Analizando datos de GitHub en Python usando pandas.
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{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"%matplotlib inline"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from datetime import datetime\n",
"from itertools import islice\n",
"\n",
"import dateutil.parser\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"import requests as rq"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import os\n",
"\n",
"user = \"juanlu001\"\n",
"password = os.environ.get('GITHUB_PASSWORD')\n",
"\n",
"init_date = datetime(2013, 1, 1)\n",
"\n",
"projects = {\n",
" \"numpy\": \"numpy\",\n",
" \"scipy\": \"scipy\",\n",
" \"ipython\": \"ipython\",\n",
" \"matplotlib\": \"matplotlib\",\n",
" \"sympy\": \"sympy\",\n",
"}"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Utilizando **github3.py**:"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from github3 import login\n",
"\n",
"gh = login(user, password)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"commit_rates = pd.DataFrame(index=np.arange(10))\n",
"for owner, project in projects.items():\n",
" repo = gh.repository(owner, project)\n",
" commits = repo.iter_commits(since=init_date)\n",
" data_dict = [{\n",
" 'sha': c.sha,\n",
" 'author': c.author.login if c.author is not None else None,\n",
" 'date': dateutil.parser.parse(c.commit.committer['date']),\n",
" 'message': c.commit.message\n",
" } for c in commits]\n",
" data = pd.DataFrame.from_dict(data_dict)\n",
" counts = data.groupby('author').size()\n",
" counts.sort(ascending=False)\n",
" top10 = counts.head(10)\n",
" commit_rates[project] = pd.Series(top10.values / top10.max())\n",
"\n",
"commit_rates.index = np.arange(10) + 1"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 7
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig, ax = plt.subplots(figsize=(6, 4))\n",
"\n",
"for project in projects.values():\n",
" ax.plot(commit_rates.index, commit_rates[project], '-o', label=project)\n",
"\n",
"ax.plot(np.arange(10) + 1, [0.2] * 10, '--', c='#333333') # 0.2 line\n",
"\n",
"leg = ax.legend()\n",
"leg.get_frame().set_facecolor('#fafafa')\n",
"ax.set_title(\"Commit rates since {}\".format(init_date.date()))\n",
"\n",
"fig.savefig(\"too_few_revamped.png\", dpi=300)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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sH6chPjUbgdKBjH13NT36uaGivApJcfp/IrbEHzVzHgJVTRkqc2/ofS4T2OjZ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\n",
"text": [
"<matplotlib.figure.Figure at 0x7f6b79c3f410>"
]
}
],
"prompt_number": 8
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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