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@elek
Created August 2, 2020 16:11
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import altair as alt\n",
"\n",
"pd.set_option('display.max_rows', 500)\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"project = \"spark\"\n",
"\n",
"simple_project_name = project\n",
"\n",
"if simple_project_name.startswith(\"incubator-\"):\n",
" simple_project_name = simple_project_name[len(\"incubator-\"):] \n",
"\n",
"jira_projects = [simple_project_name.upper()]\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"#apache_id <--> github_id mapping\n",
"whimsy_apache_github = pd.read_csv(\"whimsy_apache_github.csv\")\n",
"whimsy_apache_github[\"github_id\"] = whimsy_apache_github[\"github_id\"].str.lower()\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"#apache pmc and committers (separated line)\n",
"apache_people = pd.read_csv(\"asf_people.csv\",)\n",
"apache_people = apache_people[apache_people.project == simple_project_name]\n",
"apache_people = apache_people.rename(columns={\"user\":\"apache_id\"})\n",
"#without duplicated rules (pmc OR committer)\n",
"apache_project_roles = apache_people[[\"apache_id\",\"project\",\"role\"]].sort_values([\"apache_id\",\"project\",\"role\"],ascending=False).groupby([\"apache_id\",\"project\"]).first().reset_index()\n",
"apache_project_roles = pd.merge(apache_project_roles, whimsy_apache_github, left_on=\"apache_id\", right_on=\"apache_id\", how=\"left\")"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"commits = pd.read_csv(\"git_commits.csv\",encoding = \"latin-1\")\n",
"commits.creatorDate = pd.to_datetime(commits.creatorDate * 1e9)\n",
"commits.authorDate = pd.to_datetime(commits.authorDate * 1e9)\n",
"\n",
"def project_name(key):\n",
" parts = key.split(\"-\")\n",
" if parts[0] == \"incubator\" and len(parts) > 1:\n",
" return parts[1]\n",
" else:\n",
" return parts[0]\n",
" \n",
" \n",
"commits[\"project\"] = commits.repo.apply(project_name)\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"commits = commits[commits.project == project]\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Git repositories"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>hash</th>\n",
" <th>creatorDate</th>\n",
" </tr>\n",
" <tr>\n",
" <th>repo</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>spark</th>\n",
" <td>39751</td>\n",
" <td>39751</td>\n",
" </tr>\n",
" <tr>\n",
" <th>spark-website</th>\n",
" <td>763</td>\n",
" <td>763</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" hash creatorDate\n",
"repo \n",
"spark 39751 39751\n",
"spark-website 763 763"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"commits[[\"hash\",\"creatorDate\",\"repo\"]].groupby(\"repo\").count().sort_values(\"hash\",ascending=False)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Commits over the time"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<div id=\"altair-viz-11e2c2d527964db1a26f75265e23647e\"></div>\n",
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" (function(spec, embedOpt){\n",
" let outputDiv = document.currentScript.previousElementSibling;\n",
" if (outputDiv.id !== \"altair-viz-11e2c2d527964db1a26f75265e23647e\") {\n",
" outputDiv = document.getElementById(\"altair-viz-11e2c2d527964db1a26f75265e23647e\");\n",
" }\n",
" const paths = {\n",
" \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
" };\n",
"\n",
" function loadScript(lib) {\n",
" return new Promise(function(resolve, reject) {\n",
" var s = document.createElement('script');\n",
" s.src = paths[lib];\n",
" s.async = true;\n",
" s.onload = () => resolve(paths[lib]);\n",
" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" });\n",
" }\n",
"\n",
" function showError(err) {\n",
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
" throw err;\n",
" }\n",
"\n",
" function displayChart(vegaEmbed) {\n",
" vegaEmbed(outputDiv, spec, embedOpt)\n",
" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
" }\n",
"\n",
" if(typeof define === \"function\" && define.amd) {\n",
" requirejs.config({paths});\n",
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
" } else if (typeof vegaEmbed === \"function\") {\n",
" displayChart(vegaEmbed);\n",
" } else {\n",
" loadScript(\"vega\")\n",
" .then(() => loadScript(\"vega-lite\"))\n",
" .then(() => loadScript(\"vega-embed\"))\n",
" .catch(showError)\n",
" .then(() => displayChart(vegaEmbed));\n",
" }\n",
" })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"point\", \"opacity\": 0.1}, \"encoding\": {\"x\": {\"type\": \"temporal\", \"axis\": {\"title\": \"month\"}, \"field\": \"creatorDate\"}, \"y\": {\"type\": \"quantitative\", \"axis\": {\"title\": \"# of monthly commits\"}, \"field\": \"hash\"}}, \"height\": 400, \"width\": 800}, {\"mark\": \"line\", \"encoding\": {\"x\": {\"type\": \"temporal\", \"axis\": {\"title\": \"month\"}, \"field\": \"creatorDate\"}, \"y\": {\"type\": \"quantitative\", \"axis\": {\"title\": \"# of monthly commits\"}, \"field\": \"hash\"}}, \"height\": 400, \"transform\": [{\"loess\": \"hash\", \"on\": \"creatorDate\"}], \"width\": 800}], \"data\": {\"name\": \"data-3538f9d75ce2fbab9570d9b7d5cf0611\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.8.1.json\", \"datasets\": {\"data-3538f9d75ce2fbab9570d9b7d5cf0611\": [{\"creatorDate\": \"2010-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 1}, {\"creatorDate\": \"2010-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 13}, {\"creatorDate\": \"2010-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 6}, {\"creatorDate\": \"2010-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 15}, {\"creatorDate\": \"2010-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 6}, {\"creatorDate\": \"2010-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 11}, {\"creatorDate\": \"2010-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 20}, {\"creatorDate\": \"2010-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 87}, {\"creatorDate\": \"2010-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 65}, {\"creatorDate\": \"2010-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 82}, {\"creatorDate\": \"2011-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 23}, {\"creatorDate\": \"2011-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 31}, {\"creatorDate\": \"2011-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 28}, {\"creatorDate\": \"2011-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 23}, {\"creatorDate\": \"2011-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 55}, {\"creatorDate\": \"2011-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 51}, {\"creatorDate\": \"2011-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 44}, {\"creatorDate\": \"2011-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 22}, {\"creatorDate\": \"2011-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 9}, {\"creatorDate\": \"2011-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 13}, {\"creatorDate\": \"2011-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 17}, {\"creatorDate\": \"2011-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 10}, {\"creatorDate\": \"2012-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 9}, {\"creatorDate\": \"2012-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 22}, {\"creatorDate\": \"2012-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 19}, {\"creatorDate\": \"2012-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 21}, {\"creatorDate\": \"2012-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 17}, {\"creatorDate\": \"2012-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 55}, {\"creatorDate\": \"2012-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 103}, {\"creatorDate\": \"2012-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 189}, {\"creatorDate\": \"2012-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 205}, {\"creatorDate\": \"2012-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 250}, {\"creatorDate\": \"2012-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 131}, {\"creatorDate\": \"2012-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 139}, {\"creatorDate\": \"2013-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 428}, {\"creatorDate\": \"2013-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 351}, {\"creatorDate\": \"2013-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 141}, {\"creatorDate\": \"2013-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 210}, {\"creatorDate\": \"2013-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 192}, {\"creatorDate\": \"2013-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 250}, {\"creatorDate\": \"2013-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 459}, {\"creatorDate\": \"2013-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 458}, {\"creatorDate\": \"2013-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 380}, {\"creatorDate\": \"2013-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 552}, {\"creatorDate\": \"2013-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 392}, {\"creatorDate\": \"2013-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 609}, {\"creatorDate\": \"2014-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 781}, {\"creatorDate\": \"2014-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 160}, {\"creatorDate\": \"2014-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 205}, {\"creatorDate\": \"2014-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 471}, {\"creatorDate\": \"2014-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 560}, {\"creatorDate\": \"2014-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 398}, {\"creatorDate\": \"2014-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 435}, {\"creatorDate\": \"2014-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 747}, {\"creatorDate\": \"2014-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 387}, {\"creatorDate\": \"2014-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 384}, {\"creatorDate\": \"2014-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 694}, {\"creatorDate\": \"2014-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 510}, {\"creatorDate\": \"2015-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 373}, {\"creatorDate\": \"2015-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 946}, {\"creatorDate\": \"2015-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 514}, {\"creatorDate\": \"2015-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 509}, {\"creatorDate\": \"2015-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 1184}, {\"creatorDate\": \"2015-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 691}, {\"creatorDate\": \"2015-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 708}, {\"creatorDate\": \"2015-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 1047}, {\"creatorDate\": \"2015-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 432}, {\"creatorDate\": \"2015-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 393}, {\"creatorDate\": \"2015-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 1021}, {\"creatorDate\": \"2015-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 554}, {\"creatorDate\": \"2016-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 477}, {\"creatorDate\": \"2016-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 400}, {\"creatorDate\": \"2016-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 529}, {\"creatorDate\": \"2016-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 602}, {\"creatorDate\": \"2016-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 953}, {\"creatorDate\": \"2016-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 905}, {\"creatorDate\": \"2016-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 531}, {\"creatorDate\": \"2016-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 499}, {\"creatorDate\": \"2016-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 447}, {\"creatorDate\": \"2016-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 380}, {\"creatorDate\": \"2016-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 629}, {\"creatorDate\": \"2016-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 482}, {\"creatorDate\": \"2017-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 312}, {\"creatorDate\": \"2017-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 295}, {\"creatorDate\": \"2017-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 371}, {\"creatorDate\": \"2017-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 351}, {\"creatorDate\": \"2017-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 469}, {\"creatorDate\": \"2017-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 343}, {\"creatorDate\": \"2017-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 284}, {\"creatorDate\": \"2017-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 269}, {\"creatorDate\": \"2017-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 248}, {\"creatorDate\": \"2017-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 210}, {\"creatorDate\": \"2017-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 240}, {\"creatorDate\": \"2017-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 247}, {\"creatorDate\": \"2018-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 502}, {\"creatorDate\": \"2018-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 271}, {\"creatorDate\": \"2018-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 207}, {\"creatorDate\": \"2018-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 224}, {\"creatorDate\": \"2018-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 272}, {\"creatorDate\": \"2018-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 205}, {\"creatorDate\": \"2018-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 272}, {\"creatorDate\": \"2018-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 322}, {\"creatorDate\": \"2018-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 399}, {\"creatorDate\": \"2018-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 359}, {\"creatorDate\": \"2018-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 284}, {\"creatorDate\": \"2018-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 231}, {\"creatorDate\": \"2019-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 303}, {\"creatorDate\": \"2019-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 204}, {\"creatorDate\": \"2019-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 331}, {\"creatorDate\": \"2019-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 241}, {\"creatorDate\": \"2019-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 239}, {\"creatorDate\": \"2019-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 205}, {\"creatorDate\": \"2019-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 276}, {\"creatorDate\": \"2019-08-01T00:00:00\", \"project\": \"spark\", \"hash\": 312}, {\"creatorDate\": \"2019-09-01T00:00:00\", \"project\": \"spark\", \"hash\": 334}, {\"creatorDate\": \"2019-10-01T00:00:00\", \"project\": \"spark\", \"hash\": 301}, {\"creatorDate\": \"2019-11-01T00:00:00\", \"project\": \"spark\", \"hash\": 310}, {\"creatorDate\": \"2019-12-01T00:00:00\", \"project\": \"spark\", \"hash\": 271}, {\"creatorDate\": \"2020-01-01T00:00:00\", \"project\": \"spark\", \"hash\": 338}, {\"creatorDate\": \"2020-02-01T00:00:00\", \"project\": \"spark\", \"hash\": 458}, {\"creatorDate\": \"2020-03-01T00:00:00\", \"project\": \"spark\", \"hash\": 490}, {\"creatorDate\": \"2020-04-01T00:00:00\", \"project\": \"spark\", \"hash\": 490}, {\"creatorDate\": \"2020-05-01T00:00:00\", \"project\": \"spark\", \"hash\": 381}, {\"creatorDate\": \"2020-06-01T00:00:00\", \"project\": \"spark\", \"hash\": 342}, {\"creatorDate\": \"2020-07-01T00:00:00\", \"project\": \"spark\", \"hash\": 349}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.LayerChart(...)"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"show = commits[[\"hash\",\"project\"]].groupby([\"project\",commits.creatorDate.dt.to_period(\"M\")]).count()\n",
"\n",
"show = show.reset_index().set_index(\"creatorDate\").to_timestamp().reset_index()\n",
"\n",
"chart = alt.Chart(show).mark_point(opacity=0.1).encode(\n",
" x=alt.X(\"creatorDate:T\",axis=alt.Axis(title=\"month\")),\n",
" y=alt.Y(\"hash:Q\",axis=alt.Axis(title='# of monthly commits'))).properties(\n",
" width=800,\n",
" height=400\n",
")\n",
"\n",
"chart + chart.transform_loess('creatorDate', 'hash').mark_line()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Number of individual commit authors per month"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>creatorDate</th>\n",
" <th>count</th>\n",
" <th>sum</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>124</th>\n",
" <td>2020-07</td>\n",
" <td>83</td>\n",
" <td>349</td>\n",
" </tr>\n",
" <tr>\n",
" <th>123</th>\n",
" <td>2020-06</td>\n",
" <td>61</td>\n",
" <td>342</td>\n",
" </tr>\n",
" <tr>\n",
" <th>122</th>\n",
" <td>2020-05</td>\n",
" <td>72</td>\n",
" <td>381</td>\n",
" </tr>\n",
" <tr>\n",
" <th>121</th>\n",
" <td>2020-04</td>\n",
" <td>62</td>\n",
" <td>490</td>\n",
" </tr>\n",
" <tr>\n",
" <th>120</th>\n",
" <td>2020-03</td>\n",
" <td>60</td>\n",
" <td>490</td>\n",
" </tr>\n",
" <tr>\n",
" <th>119</th>\n",
" <td>2020-02</td>\n",
" <td>62</td>\n",
" <td>458</td>\n",
" </tr>\n",
" <tr>\n",
" <th>118</th>\n",
" <td>2020-01</td>\n",
" <td>79</td>\n",
" <td>338</td>\n",
" </tr>\n",
" <tr>\n",
" <th>117</th>\n",
" <td>2019-12</td>\n",
" <td>75</td>\n",
" <td>271</td>\n",
" </tr>\n",
" <tr>\n",
" <th>116</th>\n",
" <td>2019-11</td>\n",
" <td>75</td>\n",
" <td>310</td>\n",
" </tr>\n",
" <tr>\n",
" <th>115</th>\n",
" <td>2019-10</td>\n",
" <td>82</td>\n",
" <td>301</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" creatorDate count sum\n",
"124 2020-07 83 349\n",
"123 2020-06 61 342\n",
"122 2020-05 72 381\n",
"121 2020-04 62 490\n",
"120 2020-03 60 490\n",
"119 2020-02 62 458\n",
"118 2020-01 79 338\n",
"117 2019-12 75 271\n",
"116 2019-11 75 310\n",
"115 2019-10 82 301"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"induvidual_authors = commits[[\"hash\",\"authorName\"]] \\\n",
" .groupby([commits.creatorDate.dt.to_period(\"M\"),\"authorName\"]).count() \\\n",
" .reset_index() \\\n",
" .groupby(\"creatorDate\").hash.agg([\"count\",\"sum\"]) \\\n",
" .reset_index() \\\n",
" .sort_values(\"creatorDate\", ascending=False)\n",
"induvidual_authors.head(10)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
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\"2017-10-01T00:00:00\", \"count\": 81, \"sum\": 210}, {\"creatorDate\": \"2017-09-01T00:00:00\", \"count\": 79, \"sum\": 248}, {\"creatorDate\": \"2017-08-01T00:00:00\", \"count\": 101, \"sum\": 269}, {\"creatorDate\": \"2017-07-01T00:00:00\", \"count\": 90, \"sum\": 284}, {\"creatorDate\": \"2017-06-01T00:00:00\", \"count\": 85, \"sum\": 343}, {\"creatorDate\": \"2017-05-01T00:00:00\", \"count\": 96, \"sum\": 469}, {\"creatorDate\": \"2017-04-01T00:00:00\", \"count\": 93, \"sum\": 351}, {\"creatorDate\": \"2017-03-01T00:00:00\", \"count\": 109, \"sum\": 371}, {\"creatorDate\": \"2017-02-01T00:00:00\", \"count\": 96, \"sum\": 295}, {\"creatorDate\": \"2017-01-01T00:00:00\", \"count\": 82, \"sum\": 312}, {\"creatorDate\": \"2016-12-01T00:00:00\", \"count\": 87, \"sum\": 482}, {\"creatorDate\": \"2016-11-01T00:00:00\", \"count\": 97, \"sum\": 629}, {\"creatorDate\": \"2016-10-01T00:00:00\", \"count\": 96, \"sum\": 380}, {\"creatorDate\": \"2016-09-01T00:00:00\", \"count\": 108, \"sum\": 447}, {\"creatorDate\": \"2016-08-01T00:00:00\", \"count\": 100, \"sum\": 499}, {\"creatorDate\": \"2016-07-01T00:00:00\", \"count\": 97, \"sum\": 531}, {\"creatorDate\": \"2016-06-01T00:00:00\", \"count\": 107, \"sum\": 905}, {\"creatorDate\": \"2016-05-01T00:00:00\", \"count\": 123, \"sum\": 953}, {\"creatorDate\": \"2016-04-01T00:00:00\", \"count\": 109, \"sum\": 602}, {\"creatorDate\": \"2016-03-01T00:00:00\", \"count\": 109, \"sum\": 529}, {\"creatorDate\": \"2016-02-01T00:00:00\", \"count\": 115, \"sum\": 400}, {\"creatorDate\": \"2016-01-01T00:00:00\", \"count\": 101, \"sum\": 477}, {\"creatorDate\": \"2015-12-01T00:00:00\", \"count\": 106, \"sum\": 554}, {\"creatorDate\": \"2015-11-01T00:00:00\", \"count\": 140, \"sum\": 1021}, {\"creatorDate\": \"2015-10-01T00:00:00\", \"count\": 122, \"sum\": 393}, {\"creatorDate\": \"2015-09-01T00:00:00\", \"count\": 102, \"sum\": 432}, {\"creatorDate\": \"2015-08-01T00:00:00\", \"count\": 117, \"sum\": 1047}, {\"creatorDate\": \"2015-07-01T00:00:00\", \"count\": 147, \"sum\": 708}, {\"creatorDate\": \"2015-06-01T00:00:00\", \"count\": 136, \"sum\": 691}, {\"creatorDate\": \"2015-05-01T00:00:00\", \"count\": 139, \"sum\": 1184}, {\"creatorDate\": \"2015-04-01T00:00:00\", \"count\": 135, \"sum\": 509}, {\"creatorDate\": \"2015-03-01T00:00:00\", \"count\": 106, \"sum\": 514}, {\"creatorDate\": \"2015-02-01T00:00:00\", \"count\": 134, \"sum\": 946}, {\"creatorDate\": \"2015-01-01T00:00:00\", \"count\": 97, \"sum\": 373}, {\"creatorDate\": \"2014-12-01T00:00:00\", \"count\": 97, \"sum\": 510}, {\"creatorDate\": \"2014-11-01T00:00:00\", \"count\": 98, \"sum\": 694}, {\"creatorDate\": \"2014-10-01T00:00:00\", \"count\": 101, \"sum\": 384}, {\"creatorDate\": \"2014-09-01T00:00:00\", \"count\": 94, \"sum\": 387}, {\"creatorDate\": \"2014-08-01T00:00:00\", \"count\": 102, \"sum\": 747}, {\"creatorDate\": \"2014-07-01T00:00:00\", \"count\": 92, \"sum\": 435}, {\"creatorDate\": \"2014-06-01T00:00:00\", \"count\": 85, \"sum\": 398}, {\"creatorDate\": \"2014-05-01T00:00:00\", \"count\": 66, \"sum\": 560}, {\"creatorDate\": \"2014-04-01T00:00:00\", \"count\": 60, \"sum\": 471}, {\"creatorDate\": \"2014-03-01T00:00:00\", \"count\": 51, \"sum\": 205}, {\"creatorDate\": \"2014-02-01T00:00:00\", \"count\": 38, \"sum\": 160}, {\"creatorDate\": \"2014-01-01T00:00:00\", \"count\": 52, \"sum\": 781}, {\"creatorDate\": \"2013-12-01T00:00:00\", \"count\": 42, \"sum\": 609}, {\"creatorDate\": \"2013-11-01T00:00:00\", \"count\": 43, \"sum\": 392}, {\"creatorDate\": \"2013-10-01T00:00:00\", \"count\": 44, \"sum\": 552}, {\"creatorDate\": \"2013-09-01T00:00:00\", \"count\": 34, \"sum\": 380}, {\"creatorDate\": \"2013-08-01T00:00:00\", \"count\": 38, \"sum\": 458}, {\"creatorDate\": \"2013-07-01T00:00:00\", \"count\": 39, \"sum\": 459}, {\"creatorDate\": \"2013-06-01T00:00:00\", \"count\": 23, \"sum\": 250}, {\"creatorDate\": \"2013-05-01T00:00:00\", \"count\": 21, \"sum\": 192}, {\"creatorDate\": \"2013-04-01T00:00:00\", \"count\": 19, \"sum\": 210}, {\"creatorDate\": \"2013-03-01T00:00:00\", \"count\": 22, \"sum\": 141}, {\"creatorDate\": \"2013-02-01T00:00:00\", \"count\": 17, \"sum\": 351}, {\"creatorDate\": \"2013-01-01T00:00:00\", \"count\": 23, \"sum\": 428}, {\"creatorDate\": \"2012-12-01T00:00:00\", \"count\": 11, \"sum\": 139}, {\"creatorDate\": \"2012-11-01T00:00:00\", \"count\": 14, \"sum\": 131}, {\"creatorDate\": \"2012-10-01T00:00:00\", \"count\": 13, \"sum\": 250}, {\"creatorDate\": \"2012-09-01T00:00:00\", \"count\": 13, \"sum\": 205}, {\"creatorDate\": \"2012-08-01T00:00:00\", \"count\": 11, \"sum\": 189}, {\"creatorDate\": \"2012-07-01T00:00:00\", \"count\": 7, \"sum\": 103}, {\"creatorDate\": \"2012-06-01T00:00:00\", \"count\": 4, \"sum\": 55}, {\"creatorDate\": \"2012-05-01T00:00:00\", \"count\": 3, \"sum\": 17}, {\"creatorDate\": \"2012-04-01T00:00:00\", \"count\": 4, \"sum\": 21}, {\"creatorDate\": \"2012-03-01T00:00:00\", \"count\": 3, \"sum\": 19}, {\"creatorDate\": \"2012-02-01T00:00:00\", \"count\": 3, \"sum\": 22}, {\"creatorDate\": \"2012-01-01T00:00:00\", \"count\": 3, \"sum\": 9}, {\"creatorDate\": \"2011-12-01T00:00:00\", \"count\": 3, \"sum\": 10}, {\"creatorDate\": \"2011-11-01T00:00:00\", \"count\": 3, \"sum\": 17}, {\"creatorDate\": \"2011-10-01T00:00:00\", \"count\": 3, \"sum\": 13}, {\"creatorDate\": \"2011-09-01T00:00:00\", \"count\": 1, \"sum\": 9}, {\"creatorDate\": \"2011-08-01T00:00:00\", \"count\": 2, \"sum\": 22}, {\"creatorDate\": \"2011-07-01T00:00:00\", \"count\": 2, \"sum\": 44}, {\"creatorDate\": \"2011-06-01T00:00:00\", \"count\": 5, \"sum\": 51}, {\"creatorDate\": \"2011-05-01T00:00:00\", \"count\": 4, \"sum\": 55}, {\"creatorDate\": \"2011-04-01T00:00:00\", \"count\": 4, \"sum\": 23}, {\"creatorDate\": \"2011-03-01T00:00:00\", \"count\": 3, \"sum\": 28}, {\"creatorDate\": \"2011-02-01T00:00:00\", \"count\": 2, \"sum\": 31}, {\"creatorDate\": \"2011-01-01T00:00:00\", \"count\": 2, \"sum\": 23}, {\"creatorDate\": \"2010-12-01T00:00:00\", \"count\": 4, \"sum\": 82}, {\"creatorDate\": \"2010-11-01T00:00:00\", \"count\": 3, \"sum\": 65}, {\"creatorDate\": \"2010-10-01T00:00:00\", \"count\": 4, \"sum\": 87}, {\"creatorDate\": \"2010-09-01T00:00:00\", \"count\": 2, \"sum\": 20}, {\"creatorDate\": \"2010-08-01T00:00:00\", \"count\": 3, \"sum\": 11}, {\"creatorDate\": \"2010-07-01T00:00:00\", \"count\": 2, \"sum\": 6}, {\"creatorDate\": \"2010-06-01T00:00:00\", \"count\": 2, \"sum\": 15}, {\"creatorDate\": \"2010-05-01T00:00:00\", \"count\": 1, \"sum\": 6}, {\"creatorDate\": \"2010-04-01T00:00:00\", \"count\": 3, \"sum\": 13}, {\"creatorDate\": \"2010-03-01T00:00:00\", \"count\": 1, \"sum\": 1}]}}, {\"mode\": \"vega-lite\"});\n",
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"alt.Chart(...)"
]
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"execution_count": 10,
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],
"source": [
"\n",
"\n",
"chart = alt.Chart(induvidual_authors.set_index(\"creatorDate\").to_timestamp().reset_index()).mark_bar().encode(\n",
" x=alt.X(\"creatorDate:T\",axis=alt.Axis(title=\"month\")),\n",
" y=alt.Y(\"count:Q\",axis=alt.Axis(title='# of monthly unique authors'))).properties(\n",
" width=800,\n",
" height=400\n",
")\n",
"chart"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Last 20 commits"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
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" <td>2020-07-31 13:12:24</td>\n",
" <td>vsowrirajan@linkedin.com</td>\n",
" <td>Venkata krishnan Sowrirajan</td>\n",
" <td>2020-07-31 13:12:24</td>\n",
" <td>gurwls223@apache.org</td>\n",
" <td>HyukjinKwon</td>\n",
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" <td>spark</td>\n",
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" <th>3224278</th>\n",
" <td>apache</td>\n",
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" <td>f4800406a455b33afa7b1d62d10f236da4cd1f83</td>\n",
" <td>2020-07-31 13:11:05</td>\n",
" <td>yaooqinn@hotmail.com</td>\n",
" <td>Kent Yao</td>\n",
" <td>2020-07-31 13:11:05</td>\n",
" <td>gurwls223@apache.org</td>\n",
" <td>HyukjinKwon</td>\n",
" <td>NaN</td>\n",
" <td>spark</td>\n",
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" <tr>\n",
" <th>3224279</th>\n",
" <td>apache</td>\n",
" <td>spark</td>\n",
" <td>8014b0b5d61237dc4851d4ae9927778302d692da</td>\n",
" <td>2020-07-31 08:28:35</td>\n",
" <td>ueshin@databricks.com</td>\n",
" <td>Takuya UESHIN</td>\n",
" <td>2020-07-31 08:28:35</td>\n",
" <td>gurwls223@apache.org</td>\n",
" <td>HyukjinKwon</td>\n",
" <td>NaN</td>\n",
" <td>spark</td>\n",
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" <th>3224280</th>\n",
" <td>apache</td>\n",
" <td>spark</td>\n",
" <td>813532d10310027fee9e12680792cee2e1c2b7c7</td>\n",
" <td>2020-07-31 05:52:33</td>\n",
" <td>gabor.g.somogyi@gmail.com</td>\n",
" <td>Gabor Somogyi</td>\n",
" <td>2020-07-31 05:52:33</td>\n",
" <td>kabhwan.opensource@gmail.com</td>\n",
" <td>Jungtaek Lim (HeartSaVioR)</td>\n",
" <td>NaN</td>\n",
" <td>spark</td>\n",
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" <td>2020-07-31 05:51:57</td>\n",
" <td>chengsu@fb.com</td>\n",
" <td>Cheng Su</td>\n",
" <td>2020-07-31 05:51:57</td>\n",
" <td>wenchen@databricks.com</td>\n",
" <td>Wenchen Fan</td>\n",
" <td>NaN</td>\n",
" <td>spark</td>\n",
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" <td>gabor.g.somogyi@gmail.com</td>\n",
" <td>Gabor Somogyi</td>\n",
" <td>2020-07-31 04:40:33</td>\n",
" <td>kabhwan.opensource@gmail.com</td>\n",
" <td>Jungtaek Lim (HeartSaVioR)</td>\n",
" <td>NaN</td>\n",
" <td>spark</td>\n",
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" <td>sarutak@oss.nttdata.com</td>\n",
" <td>Kousuke Saruta</td>\n",
" <td>2020-07-31 01:39:28</td>\n",
" <td>sarutak@oss.nttdata.com</td>\n",
" <td>Kousuke Saruta</td>\n",
" <td>NaN</td>\n",
" <td>spark</td>\n",
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"</table>\n",
"</div>"
],
"text/plain": [
" org repo hash \\\n",
"3224274 apache spark 7c91b15c22fe875a44e08781caf3422bfca81b19 \n",
"3224275 apache spark 1c6dff7b5fc171c190feea0d8f7d323e330d9151 \n",
"3224276 apache spark 354313b6bc89149f97b7cebf6249abd9e3e87724 \n",
"3224277 apache spark 4eaf3a0a23d66f234e98062852223d81ec770fbe \n",
"3224278 apache spark f4800406a455b33afa7b1d62d10f236da4cd1f83 \n",
"3224279 apache spark 8014b0b5d61237dc4851d4ae9927778302d692da \n",
"3224280 apache spark 813532d10310027fee9e12680792cee2e1c2b7c7 \n",
"3224281 apache spark ae82768c1396bfe626b52c4eac33241a9eb91f54 \n",
"3224282 apache spark f6027827a49a52f6586f73aee9e4067659f650b6 \n",
"3224283 apache spark 2a3809058f668195ae4f377a293b228d62d970bb \n",
"\n",
" authorDate authorEmail \\\n",
"3224274 2020-07-31 16:14:33 andygrove@nvidia.com \n",
"3224275 2020-07-31 14:20:20 wenchen@databricks.com \n",
"3224276 2020-07-31 14:16:41 yuanjian.li@databricks.com \n",
"3224277 2020-07-31 13:12:24 vsowrirajan@linkedin.com \n",
"3224278 2020-07-31 13:11:05 yaooqinn@hotmail.com \n",
"3224279 2020-07-31 08:28:35 ueshin@databricks.com \n",
"3224280 2020-07-31 05:52:33 gabor.g.somogyi@gmail.com \n",
"3224281 2020-07-31 05:51:57 chengsu@fb.com \n",
"3224282 2020-07-31 04:40:33 gabor.g.somogyi@gmail.com \n",
"3224283 2020-07-31 01:37:05 sarutak@oss.nttdata.com \n",
"\n",
" authorName creatorDate \\\n",
"3224274 Andy Grove 2020-07-31 16:14:33 \n",
"3224275 Wenchen Fan 2020-07-31 14:20:20 \n",
"3224276 Yuanjian Li 2020-07-31 14:16:41 \n",
"3224277 Venkata krishnan Sowrirajan 2020-07-31 13:12:24 \n",
"3224278 Kent Yao 2020-07-31 13:11:05 \n",
"3224279 Takuya UESHIN 2020-07-31 08:28:35 \n",
"3224280 Gabor Somogyi 2020-07-31 05:52:33 \n",
"3224281 Cheng Su 2020-07-31 05:51:57 \n",
"3224282 Gabor Somogyi 2020-07-31 04:40:33 \n",
"3224283 Kousuke Saruta 2020-07-31 01:39:28 \n",
"\n",
" creatorEmail creatorDate.1 subject \\\n",
"3224274 tgraves@apache.org Thomas Graves NaN \n",
"3224275 wenchen@databricks.com Wenchen Fan NaN \n",
"3224276 wenchen@databricks.com Wenchen Fan NaN \n",
"3224277 gurwls223@apache.org HyukjinKwon NaN \n",
"3224278 gurwls223@apache.org HyukjinKwon NaN \n",
"3224279 gurwls223@apache.org HyukjinKwon NaN \n",
"3224280 kabhwan.opensource@gmail.com Jungtaek Lim (HeartSaVioR) NaN \n",
"3224281 wenchen@databricks.com Wenchen Fan NaN \n",
"3224282 kabhwan.opensource@gmail.com Jungtaek Lim (HeartSaVioR) NaN \n",
"3224283 sarutak@oss.nttdata.com Kousuke Saruta NaN \n",
"\n",
" project \n",
"3224274 spark \n",
"3224275 spark \n",
"3224276 spark \n",
"3224277 spark \n",
"3224278 spark \n",
"3224279 spark \n",
"3224280 spark \n",
"3224281 spark \n",
"3224282 spark \n",
"3224283 spark "
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"commits.sort_values(\"creatorDate\",ascending=False).head(10)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Top git commit authors"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>hash</th>\n",
" </tr>\n",
" <tr>\n",
" <th>authorEmail</th>\n",
" <th></th>\n",
" </tr>\n",
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" <th>matei@eecs.berkeley.edu</th>\n",
" <td>1475</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pwendell@gmail.com</th>\n",
" <td>1423</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rxin@databricks.com</th>\n",
" <td>1111</td>\n",
" </tr>\n",
" <tr>\n",
" <th>wenchen@databricks.com</th>\n",
" <td>1060</td>\n",
" </tr>\n",
" <tr>\n",
" <th>tathagata.das1565@gmail.com</th>\n",
" <td>805</td>\n",
" </tr>\n",
" <tr>\n",
" <th>dongjoon@apache.org</th>\n",
" <td>731</td>\n",
" </tr>\n",
" <tr>\n",
" <th>gatorsmile@gmail.com</th>\n",
" <td>694</td>\n",
" </tr>\n",
" <tr>\n",
" <th>sowen@cloudera.com</th>\n",
" <td>673</td>\n",
" </tr>\n",
" <tr>\n",
" <th>davies@databricks.com</th>\n",
" <td>635</td>\n",
" </tr>\n",
" <tr>\n",
" <th>rxin@apache.org</th>\n",
" <td>620</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vanzin@cloudera.com</th>\n",
" <td>606</td>\n",
" </tr>\n",
" <tr>\n",
" <th>meng@databricks.com</th>\n",
" <td>602</td>\n",
" </tr>\n",
" <tr>\n",
" <th>joshrosen@databricks.com</th>\n",
" <td>570</td>\n",
" </tr>\n",
" <tr>\n",
" <th>viirya@gmail.com</th>\n",
" <td>551</td>\n",
" </tr>\n",
" <tr>\n",
" <th>gurwls223@apache.org</th>\n",
" <td>531</td>\n",
" </tr>\n",
" <tr>\n",
" <th>michael@databricks.com</th>\n",
" <td>486</td>\n",
" </tr>\n",
" <tr>\n",
" <th>andrew@databricks.com</th>\n",
" <td>485</td>\n",
" </tr>\n",
" <tr>\n",
" <th>shixiong@databricks.com</th>\n",
" <td>473</td>\n",
" </tr>\n",
" <tr>\n",
" <th>gurwls223@gmail.com</th>\n",
" <td>459</td>\n",
" </tr>\n",
" <tr>\n",
" <th>zsxwing@gmail.com</th>\n",
" <td>449</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" hash\n",
"authorEmail \n",
"matei@eecs.berkeley.edu 1475\n",
"pwendell@gmail.com 1423\n",
"rxin@databricks.com 1111\n",
"wenchen@databricks.com 1060\n",
"tathagata.das1565@gmail.com 805\n",
"dongjoon@apache.org 731\n",
"gatorsmile@gmail.com 694\n",
"sowen@cloudera.com 673\n",
"davies@databricks.com 635\n",
"rxin@apache.org 620\n",
"vanzin@cloudera.com 606\n",
"meng@databricks.com 602\n",
"joshrosen@databricks.com 570\n",
"viirya@gmail.com 551\n",
"gurwls223@apache.org 531\n",
"michael@databricks.com 486\n",
"andrew@databricks.com 485\n",
"shixiong@databricks.com 473\n",
"gurwls223@gmail.com 459\n",
"zsxwing@gmail.com 449"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"commits[[\"hash\"]].groupby(commits.authorEmail).count().sort_values(\"hash\",ascending=False).head(20)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Jira issues"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"issues = pd.read_csv(\"jira_issues.csv\",)\n",
"issues[\"project\"] = issues.key.apply(lambda key: key.split(\"-\")[0])\n",
"issues = issues[issues.project.isin(jira_projects)]"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"issues.created = np.where((issues.created.str.startswith(\"00\")),issues.resolved,issues.created)\n",
"issues.resolved = pd.to_datetime(issues.resolved)\n",
"issues.created = pd.to_datetime(issues.created)\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"resolved = issues[issues[\"resolved\"].notnull()]\n",
"resolved = resolved[resolved[\"status\"].isin([\"Closed\",\"Done\",\"Resolved\"])]\n",
"resolved = resolved[resolved[\"resolution\"].isin([\"Done\",\"Fixed\",\"Resolved\",\"Implemented\",\"Information Provided\",\"Workaround\",\"Delivered\"])]\n"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/usr/lib/python3.8/site-packages/pandas/core/arrays/datetimes.py:1101: UserWarning: Converting to PeriodArray/Index representation will drop timezone information.\n",
" warnings.warn(\n"
]
},
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290, \"action\": \"created\"}, {\"created\": \"2018-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 318, \"action\": \"created\"}, {\"created\": \"2018-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 259, \"action\": \"created\"}, {\"created\": \"2018-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 278, \"action\": \"created\"}, {\"created\": \"2018-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 314, \"action\": \"created\"}, {\"created\": \"2018-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 279, \"action\": \"created\"}, {\"created\": \"2018-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 327, \"action\": \"created\"}, {\"created\": \"2018-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 335, \"action\": \"created\"}, {\"created\": \"2018-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 273, \"action\": \"created\"}, {\"created\": \"2019-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 292, \"action\": \"created\"}, {\"created\": \"2019-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 211, \"action\": \"created\"}, {\"created\": \"2019-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 316, \"action\": \"created\"}, {\"created\": \"2019-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 279, \"action\": \"created\"}, {\"created\": \"2019-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 302, \"action\": \"created\"}, {\"created\": \"2019-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 302, \"action\": \"created\"}, {\"created\": \"2019-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 366, \"action\": \"created\"}, {\"created\": \"2019-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 353, \"action\": \"created\"}, {\"created\": \"2019-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 369, \"action\": \"created\"}, {\"created\": \"2019-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 385, \"action\": \"created\"}, {\"created\": \"2019-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 391, \"action\": \"created\"}, {\"created\": \"2019-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 313, \"action\": \"created\"}, {\"created\": \"2020-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 297, \"action\": \"created\"}, {\"created\": \"2020-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 299, \"action\": \"created\"}, {\"created\": \"2020-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 321, \"action\": \"created\"}, {\"created\": \"2020-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 301, \"action\": \"created\"}, {\"created\": \"2020-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 259, \"action\": \"created\"}, {\"created\": \"2020-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 262, \"action\": \"created\"}, {\"created\": \"2020-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 305, \"action\": \"created\"}, {\"created\": \"2012-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 236, \"action\": \"resolved\"}, {\"created\": \"2012-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 5, \"action\": \"resolved\"}, {\"created\": \"2012-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 8, \"action\": \"resolved\"}, {\"created\": \"2013-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 16, \"action\": \"resolved\"}, {\"created\": \"2013-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 11, \"action\": \"resolved\"}, {\"created\": \"2013-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 3, \"action\": \"resolved\"}, {\"created\": \"2013-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 14, \"action\": \"resolved\"}, {\"created\": \"2013-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 15, \"action\": \"resolved\"}, {\"created\": \"2013-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 13, \"action\": \"resolved\"}, {\"created\": \"2013-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 23, \"action\": \"resolved\"}, {\"created\": \"2013-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 50, \"action\": \"resolved\"}, {\"created\": \"2013-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 24, \"action\": \"resolved\"}, {\"created\": \"2013-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 18, \"action\": \"resolved\"}, {\"created\": \"2013-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 11, \"action\": \"resolved\"}, {\"created\": \"2013-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 25, \"action\": \"resolved\"}, {\"created\": \"2014-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 23, \"action\": \"resolved\"}, {\"created\": \"2014-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 35, \"action\": \"resolved\"}, {\"created\": \"2014-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 102, \"action\": \"resolved\"}, {\"created\": \"2014-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 176, \"action\": \"resolved\"}, {\"created\": \"2014-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 175, \"action\": \"resolved\"}, {\"created\": \"2014-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 181, \"action\": \"resolved\"}, {\"created\": \"2014-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 238, \"action\": \"resolved\"}, {\"created\": \"2014-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 339, \"action\": \"resolved\"}, {\"created\": \"2014-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 255, \"action\": \"resolved\"}, {\"created\": \"2014-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 300, \"action\": \"resolved\"}, {\"created\": \"2014-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 302, \"action\": \"resolved\"}, {\"created\": \"2014-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 248, \"action\": \"resolved\"}, {\"created\": \"2015-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 227, \"action\": \"resolved\"}, {\"created\": \"2015-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 422, \"action\": \"resolved\"}, {\"created\": \"2015-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 258, \"action\": \"resolved\"}, {\"created\": \"2015-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 318, \"action\": \"resolved\"}, {\"created\": \"2015-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 498, \"action\": \"resolved\"}, {\"created\": \"2015-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 398, \"action\": \"resolved\"}, {\"created\": \"2015-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 615, \"action\": \"resolved\"}, {\"created\": \"2015-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 592, \"action\": \"resolved\"}, {\"created\": \"2015-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 345, \"action\": \"resolved\"}, {\"created\": \"2015-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 295, \"action\": \"resolved\"}, {\"created\": \"2015-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 491, \"action\": \"resolved\"}, {\"created\": \"2015-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 302, \"action\": \"resolved\"}, {\"created\": \"2016-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 318, \"action\": \"resolved\"}, {\"created\": \"2016-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 300, \"action\": \"resolved\"}, {\"created\": \"2016-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 399, \"action\": \"resolved\"}, {\"created\": \"2016-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 538, \"action\": \"resolved\"}, {\"created\": \"2016-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 430, \"action\": \"resolved\"}, {\"created\": \"2016-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 389, \"action\": \"resolved\"}, {\"created\": \"2016-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 260, \"action\": \"resolved\"}, {\"created\": \"2016-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 290, \"action\": \"resolved\"}, {\"created\": \"2016-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 237, \"action\": \"resolved\"}, {\"created\": \"2016-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 271, \"action\": \"resolved\"}, {\"created\": \"2016-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 299, \"action\": \"resolved\"}, {\"created\": \"2016-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 238, \"action\": \"resolved\"}, {\"created\": \"2017-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 203, \"action\": \"resolved\"}, {\"created\": \"2017-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 194, \"action\": \"resolved\"}, {\"created\": \"2017-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 247, \"action\": \"resolved\"}, {\"created\": \"2017-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 182, \"action\": \"resolved\"}, {\"created\": \"2017-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 216, \"action\": \"resolved\"}, {\"created\": \"2017-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 176, \"action\": \"resolved\"}, {\"created\": \"2017-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 181, \"action\": \"resolved\"}, {\"created\": \"2017-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 164, \"action\": \"resolved\"}, {\"created\": \"2017-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 144, \"action\": \"resolved\"}, {\"created\": \"2017-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 128, \"action\": \"resolved\"}, {\"created\": \"2017-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 162, \"action\": \"resolved\"}, {\"created\": \"2017-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 179, \"action\": \"resolved\"}, {\"created\": \"2018-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 227, \"action\": \"resolved\"}, {\"created\": \"2018-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 125, \"action\": \"resolved\"}, {\"created\": \"2018-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 122, \"action\": \"resolved\"}, {\"created\": \"2018-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 138, \"action\": \"resolved\"}, {\"created\": \"2018-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 163, \"action\": \"resolved\"}, {\"created\": \"2018-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 132, \"action\": \"resolved\"}, {\"created\": \"2018-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 171, \"action\": \"resolved\"}, {\"created\": \"2018-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 192, \"action\": \"resolved\"}, {\"created\": \"2018-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 168, \"action\": \"resolved\"}, {\"created\": \"2018-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 212, \"action\": \"resolved\"}, {\"created\": \"2018-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 174, \"action\": \"resolved\"}, {\"created\": \"2018-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 138, \"action\": \"resolved\"}, {\"created\": \"2019-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 189, \"action\": \"resolved\"}, {\"created\": \"2019-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 124, \"action\": \"resolved\"}, {\"created\": \"2019-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 212, \"action\": \"resolved\"}, {\"created\": \"2019-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 137, \"action\": \"resolved\"}, {\"created\": \"2019-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 154, \"action\": \"resolved\"}, {\"created\": \"2019-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 143, \"action\": \"resolved\"}, {\"created\": \"2019-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 196, \"action\": \"resolved\"}, {\"created\": \"2019-08-01T00:00:00\", \"project\": \"SPARK\", \"key\": 211, \"action\": \"resolved\"}, {\"created\": \"2019-09-01T00:00:00\", \"project\": \"SPARK\", \"key\": 249, \"action\": \"resolved\"}, {\"created\": \"2019-10-01T00:00:00\", \"project\": \"SPARK\", \"key\": 223, \"action\": \"resolved\"}, {\"created\": \"2019-11-01T00:00:00\", \"project\": \"SPARK\", \"key\": 222, \"action\": \"resolved\"}, {\"created\": \"2019-12-01T00:00:00\", \"project\": \"SPARK\", \"key\": 186, \"action\": \"resolved\"}, {\"created\": \"2020-01-01T00:00:00\", \"project\": \"SPARK\", \"key\": 217, \"action\": \"resolved\"}, {\"created\": \"2020-02-01T00:00:00\", \"project\": \"SPARK\", \"key\": 178, \"action\": \"resolved\"}, {\"created\": \"2020-03-01T00:00:00\", \"project\": \"SPARK\", \"key\": 236, \"action\": \"resolved\"}, {\"created\": \"2020-04-01T00:00:00\", \"project\": \"SPARK\", \"key\": 204, \"action\": \"resolved\"}, {\"created\": \"2020-05-01T00:00:00\", \"project\": \"SPARK\", \"key\": 175, \"action\": \"resolved\"}, {\"created\": \"2020-06-01T00:00:00\", \"project\": \"SPARK\", \"key\": 161, \"action\": \"resolved\"}, {\"created\": \"2020-07-01T00:00:00\", \"project\": \"SPARK\", \"key\": 158, \"action\": \"resolved\"}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.LayerChart(...)"
]
},
"execution_count": 16,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"created_issues = issues[[\"project\",\"key\"]].groupby([\"project\",issues.created.dt.to_period(\"M\")]).count()\n",
"created_issues[\"action\"] = \"created\"\n",
"\n",
"resolved_issues = resolved[[\"project\",\"key\"]].groupby([\"project\",resolved.resolved.dt.to_period(\"M\")]).count()\n",
"resolved_issues[\"action\"] = \"resolved\"\n",
"\n",
"graph = pd.concat([created_issues, resolved_issues])\n",
"graph = graph.reset_index().set_index(\"created\").to_timestamp().reset_index()\n",
"\n",
"resolved_issues + created_issues\n",
"chart = alt.Chart(graph).mark_point(opacity=0.1).encode(\n",
" x=alt.X(\"created:T\",axis=alt.Axis(title=\"month\")),\n",
" y=alt.Y(\"key:Q\",axis=alt.Axis(title='# of monthly created issues')),\n",
" color=\"action:N\"\n",
").properties(\n",
" width=800,\n",
" height=400\n",
")\n",
"\n",
"chart + chart.transform_loess('created', 'key', groupby=[\"action\"]).mark_line()\n",
"# chart_created\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Pull requests"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [],
"source": [
"prs = pd.read_csv(\"github_prs.csv\",)\n",
"prs.author = prs.author.str.lower()\n",
"prs[\"project\"] = prs.repo.apply(project_name)\n",
"prs = prs[prs.project == project]\n",
"prs.closedAt = pd.to_datetime(prs.closedAt)\n",
"prs.createdAt = pd.to_datetime(prs.createdAt)\n",
"closed_prs = prs[prs.closed]\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
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" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>org</th>\n",
" <th>repo</th>\n",
" <th>number</th>\n",
" <th>createdAt</th>\n",
" <th>author</th>\n",
" <th>role</th>\n",
" <th>project</th>\n",
" <th>pr_author</th>\n",
" <th>own_pr</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>apache</td>\n",
" <td>spark</td>\n",
" <td>1</td>\n",
" <td>2014-02-26T22:53:59Z</td>\n",
" <td>amplabjenkins</td>\n",
" <td>NONE</td>\n",
" <td>spark</td>\n",
" <td>rxin</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>apache</td>\n",
" <td>spark</td>\n",
" <td>1</td>\n",
" <td>2014-02-26T22:56:57Z</td>\n",
" <td>pwendell</td>\n",
" <td>CONTRIBUTOR</td>\n",
" <td>spark</td>\n",
" <td>rxin</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>apache</td>\n",
" <td>spark</td>\n",
" <td>1</td>\n",
" <td>2014-02-26T22:58:52Z</td>\n",
" <td>amplabjenkins</td>\n",
" <td>NONE</td>\n",
" <td>spark</td>\n",
" <td>rxin</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>apache</td>\n",
" <td>spark</td>\n",
" <td>1</td>\n",
" <td>2014-02-26T22:58:52Z</td>\n",
" <td>amplabjenkins</td>\n",
" <td>NONE</td>\n",
" <td>spark</td>\n",
" <td>rxin</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>apache</td>\n",
" <td>spark</td>\n",
" <td>1</td>\n",
" <td>2014-02-26T22:58:55Z</td>\n",
" <td>amplabjenkins</td>\n",
" <td>NONE</td>\n",
" <td>spark</td>\n",
" <td>rxin</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>364161</th>\n",
" <td>apache</td>\n",
" <td>spark-website</td>\n",
" <td>97</td>\n",
" <td>2018-02-28T21:07:10Z</td>\n",
" <td>gatorsmile</td>\n",
" <td>MEMBER</td>\n",
" <td>spark</td>\n",
" <td>sameeragarwal</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>364162</th>\n",
" <td>apache</td>\n",
" <td>spark-website</td>\n",
" <td>97</td>\n",
" <td>2018-02-28T21:23:08Z</td>\n",
" <td>sameeragarwal</td>\n",
" <td>MEMBER</td>\n",
" <td>spark</td>\n",
" <td>sameeragarwal</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>364163</th>\n",
" <td>apache</td>\n",
" <td>spark-website</td>\n",
" <td>98</td>\n",
" <td>2018-02-28T21:52:10Z</td>\n",
" <td>gatorsmile</td>\n",
" <td>MEMBER</td>\n",
" <td>spark</td>\n",
" <td>sameeragarwal</td>\n",
" <td>False</td>\n",
" </tr>\n",
" <tr>\n",
" <th>364164</th>\n",
" <td>apache</td>\n",
" <td>spark-website</td>\n",
" <td>99</td>\n",
" <td>2018-03-02T07:12:07Z</td>\n",
" <td>gatorsmile</td>\n",
" <td>MEMBER</td>\n",
" <td>spark</td>\n",
" <td>gatorsmile</td>\n",
" <td>True</td>\n",
" </tr>\n",
" <tr>\n",
" <th>364165</th>\n",
" <td>apache</td>\n",
" <td>spark-website</td>\n",
" <td>99</td>\n",
" <td>2018-03-02T17:12:02Z</td>\n",
" <td>gatorsmile</td>\n",
" <td>MEMBER</td>\n",
" <td>spark</td>\n",
" <td>gatorsmile</td>\n",
" <td>True</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>364166 rows × 9 columns</p>\n",
"</div>"
],
"text/plain": [
" org repo number createdAt author \\\n",
"0 apache spark 1 2014-02-26T22:53:59Z amplabjenkins \n",
"1 apache spark 1 2014-02-26T22:56:57Z pwendell \n",
"2 apache spark 1 2014-02-26T22:58:52Z amplabjenkins \n",
"3 apache spark 1 2014-02-26T22:58:52Z amplabjenkins \n",
"4 apache spark 1 2014-02-26T22:58:55Z amplabjenkins \n",
"... ... ... ... ... ... \n",
"364161 apache spark-website 97 2018-02-28T21:07:10Z gatorsmile \n",
"364162 apache spark-website 97 2018-02-28T21:23:08Z sameeragarwal \n",
"364163 apache spark-website 98 2018-02-28T21:52:10Z gatorsmile \n",
"364164 apache spark-website 99 2018-03-02T07:12:07Z gatorsmile \n",
"364165 apache spark-website 99 2018-03-02T17:12:02Z gatorsmile \n",
"\n",
" role project pr_author own_pr \n",
"0 NONE spark rxin False \n",
"1 CONTRIBUTOR spark rxin False \n",
"2 NONE spark rxin False \n",
"3 NONE spark rxin False \n",
"4 NONE spark rxin False \n",
"... ... ... ... ... \n",
"364161 MEMBER spark sameeragarwal False \n",
"364162 MEMBER spark sameeragarwal True \n",
"364163 MEMBER spark sameeragarwal False \n",
"364164 MEMBER spark gatorsmile True \n",
"364165 MEMBER spark gatorsmile True \n",
"\n",
"[364166 rows x 9 columns]"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pr_comments = pd.read_csv(\"github_pr_comments.csv\",)\n",
"pr_comments[\"project\"] = pr_comments.repo.apply(project_name)\n",
"pr_comments = pr_comments[pr_comments.project == project]\n",
"pr_comments.author = pr_comments.author.str.lower()\n",
"\n",
"prs_with_authors = prs[[\"repo\",\"author\",\"number\"]].rename(columns={\"author\":\"pr_author\"})\n",
"pr_comments = pd.merge(pr_comments, prs_with_authors, left_on=[\"repo\",\"number\"], right_on=[\"repo\",\"number\"])\n",
"pr_comments[\"own_pr\"] = pr_comments.author == pr_comments.pr_author\n",
"pr_comments"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
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" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
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" <th></th>\n",
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" <th>reviews</th>\n",
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" <td>spark</td>\n",
" <td>29327</td>\n",
" <td>2020-08-02 10:25:54+00:00</td>\n",
" <td>2020-08-02T10:36:09Z</td>\n",
" <td>NaT</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
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" <td>0</td>\n",
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" <td>spark</td>\n",
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" <td>False</td>\n",
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" <td>spark</td>\n",
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" <td>spark</td>\n",
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" <td>False</td>\n",
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" <td>huaxingao</td>\n",
" <td>8</td>\n",
" <td>[SPARK-32402][SQL] Implement ALTER TABLE in JD...</td>\n",
" <td>spark</td>\n",
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" <th>304680</th>\n",
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" <td>2020-08-02T04:28:40Z</td>\n",
" <td>NaT</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
" <td>maxgekk</td>\n",
" <td>2</td>\n",
" <td>[SPARK-32513][SQL] Rename classes/files with t...</td>\n",
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" <td>NaT</td>\n",
" <td>False</td>\n",
" <td>False</td>\n",
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" <td>False</td>\n",
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" <td>False</td>\n",
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" <td>False</td>\n",
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" repo number createdAt updatedAt \\\n",
"304684 spark 29327 2020-08-02 10:25:54+00:00 2020-08-02T10:36:09Z \n",
"304683 spark 29326 2020-08-02 06:10:53+00:00 2020-08-02T09:57:07Z \n",
"304682 spark 29325 2020-08-02 06:10:49+00:00 2020-08-02T10:18:31Z \n",
"304681 spark 29324 2020-08-01 00:42:12+00:00 2020-08-02T07:07:08Z \n",
"304680 spark 29323 2020-07-31 18:54:54+00:00 2020-08-02T04:28:40Z \n",
"304679 spark 29322 2020-07-31 15:56:22+00:00 2020-07-31T20:38:42Z \n",
"304678 spark 29321 2020-07-31 15:39:24+00:00 2020-07-31T20:33:09Z \n",
"304677 spark 29320 2020-07-31 13:04:51+00:00 2020-08-02T04:19:02Z \n",
"304675 spark 29319 2020-07-31 12:25:36+00:00 2020-07-31T18:20:01Z \n",
"304674 spark 29318 2020-07-31 12:06:43+00:00 2020-08-01T17:59:09Z \n",
"\n",
" closedAt merged closed isDraft author reviews \\\n",
"304684 NaT False False False maropu 0 \n",
"304683 NaT False False False viirya 0 \n",
"304682 NaT False False False viirya 0 \n",
"304681 NaT False False False huaxingao 8 \n",
"304680 NaT False False False maxgekk 2 \n",
"304679 NaT False False False fqaiser94 0 \n",
"304678 NaT False False False cloud-fan 1 \n",
"304677 NaT False False False hyukjinkwon 2 \n",
"304675 NaT False False False udbhav30 0 \n",
"304674 NaT False False False prakharjain09 3 \n",
"\n",
" title project \n",
"304684 [SPARK-28818][SQL][2.4] Respect source column ... spark \n",
"304683 [WIP][SPARK-32502][BUILD] Upgrade Guava to 27.... spark \n",
"304682 [WIP][SPARK-32502][BUILD] Upgrade Guava to 27.... spark \n",
"304681 [SPARK-32402][SQL] Implement ALTER TABLE in JD... spark \n",
"304680 [SPARK-32513][SQL] Rename classes/files with t... spark \n",
"304679 [SPARK-32511][SQL] Add dropFields method to Co... spark \n",
"304678 [SPARK-32083][SQL][3.0] AQE coalesce should at... spark \n",
"304677 [WIP][SPARK-32507][DOCS][PYTHON] Add main page... spark \n",
"304675 [SPARK-32480] Support insert overwrite to move... spark \n",
"304674 [SPARK-32509][SQL] Ignore unused DPP True Filt... spark "
]
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\"2019-08-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 6}, {\"closedAt\": \"2019-09-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 8}, {\"closedAt\": \"2019-10-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 4}, {\"closedAt\": \"2019-11-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 8}, {\"closedAt\": \"2019-12-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 12}, {\"closedAt\": \"2020-01-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 11}, {\"closedAt\": \"2020-02-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 4}, {\"closedAt\": \"2020-03-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 2}, {\"closedAt\": \"2020-05-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 1}, {\"closedAt\": \"2020-06-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 12}, {\"closedAt\": \"2020-07-01T00:00:00\", \"repo\": \"spark-website\", \"number\": 3}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"show = closed_prs[[\"number\",\"repo\"]].groupby([\"repo\",closed_prs.closedAt.dt.to_period(\"M\")]).count()\n",
"show = show.reset_index().set_index(\"closedAt\").to_timestamp().reset_index()\n",
"\n",
"\n",
"chart = alt.Chart(show).mark_line().encode(\n",
" x=alt.X(\"closedAt:T\",axis=alt.Axis(title=\"month\")),\n",
" y=alt.Y(\"number:Q\",axis=alt.Axis(title='# of monthly resolved PRs')),\n",
" color=\"repo:N\"\n",
").properties(\n",
" width=800,\n",
" height=400\n",
")\n",
"chart"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Jira vs Github usage"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
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\"2015-01-01T00:00:00\", \"count\": 383, \"location\": \"githu\"}, {\"month\": \"2015-02-01T00:00:00\", \"count\": 593, \"location\": \"githu\"}, {\"month\": \"2015-03-01T00:00:00\", \"count\": 415, \"location\": \"githu\"}, {\"month\": \"2015-04-01T00:00:00\", \"count\": 525, \"location\": \"githu\"}, {\"month\": \"2015-05-01T00:00:00\", \"count\": 708, \"location\": \"githu\"}, {\"month\": \"2015-06-01T00:00:00\", \"count\": 572, \"location\": \"githu\"}, {\"month\": \"2015-07-01T00:00:00\", \"count\": 709, \"location\": \"githu\"}, {\"month\": \"2015-08-01T00:00:00\", \"count\": 673, \"location\": \"githu\"}, {\"month\": \"2015-09-01T00:00:00\", \"count\": 432, \"location\": \"githu\"}, {\"month\": \"2015-10-01T00:00:00\", \"count\": 410, \"location\": \"githu\"}, {\"month\": \"2015-11-01T00:00:00\", \"count\": 648, \"location\": \"githu\"}, {\"month\": \"2015-12-01T00:00:00\", \"count\": 522, \"location\": \"githu\"}, {\"month\": \"2016-01-01T00:00:00\", \"count\": 449, \"location\": \"githu\"}, {\"month\": \"2016-02-01T00:00:00\", \"count\": 419, \"location\": \"githu\"}, {\"month\": \"2016-03-01T00:00:00\", \"count\": 614, \"location\": \"githu\"}, {\"month\": \"2016-04-01T00:00:00\", \"count\": 732, \"location\": \"githu\"}, {\"month\": \"2016-05-01T00:00:00\", \"count\": 587, \"location\": \"githu\"}, {\"month\": \"2016-06-01T00:00:00\", \"count\": 609, \"location\": \"githu\"}, {\"month\": \"2016-07-01T00:00:00\", \"count\": 379, \"location\": \"githu\"}, {\"month\": \"2016-08-01T00:00:00\", \"count\": 452, \"location\": \"githu\"}, {\"month\": \"2016-09-01T00:00:00\", \"count\": 410, \"location\": \"githu\"}, {\"month\": \"2016-10-01T00:00:00\", \"count\": 401, \"location\": \"githu\"}, {\"month\": \"2016-11-01T00:00:00\", \"count\": 426, \"location\": \"githu\"}, {\"month\": \"2016-12-01T00:00:00\", \"count\": 350, \"location\": \"githu\"}, {\"month\": \"2017-01-01T00:00:00\", \"count\": 306, \"location\": \"githu\"}, {\"month\": \"2017-02-01T00:00:00\", \"count\": 357, \"location\": \"githu\"}, {\"month\": \"2017-03-01T00:00:00\", \"count\": 391, \"location\": \"githu\"}, {\"month\": \"2017-04-01T00:00:00\", \"count\": 311, \"location\": \"githu\"}, {\"month\": \"2017-05-01T00:00:00\", \"count\": 374, \"location\": \"githu\"}, {\"month\": \"2017-06-01T00:00:00\", \"count\": 386, \"location\": \"githu\"}, {\"month\": \"2017-07-01T00:00:00\", \"count\": 297, \"location\": \"githu\"}, {\"month\": \"2017-08-01T00:00:00\", \"count\": 338, \"location\": \"githu\"}, {\"month\": \"2017-09-01T00:00:00\", \"count\": 297, \"location\": \"githu\"}, {\"month\": \"2017-10-01T00:00:00\", \"count\": 232, \"location\": \"githu\"}, {\"month\": \"2017-11-01T00:00:00\", \"count\": 235, \"location\": \"githu\"}, {\"month\": \"2017-12-01T00:00:00\", \"count\": 272, \"location\": \"githu\"}, {\"month\": \"2018-01-01T00:00:00\", \"count\": 332, \"location\": \"githu\"}, {\"month\": \"2018-02-01T00:00:00\", \"count\": 207, \"location\": \"githu\"}, {\"month\": \"2018-03-01T00:00:00\", \"count\": 204, \"location\": \"githu\"}, {\"month\": \"2018-04-01T00:00:00\", \"count\": 221, \"location\": \"githu\"}, {\"month\": \"2018-05-01T00:00:00\", \"count\": 254, \"location\": \"githu\"}, {\"month\": \"2018-06-01T00:00:00\", \"count\": 196, \"location\": \"githu\"}, {\"month\": \"2018-07-01T00:00:00\", \"count\": 347, \"location\": \"githu\"}, {\"month\": \"2018-08-01T00:00:00\", \"count\": 366, \"location\": \"githu\"}, {\"month\": \"2018-09-01T00:00:00\", \"count\": 296, \"location\": \"githu\"}, {\"month\": \"2018-10-01T00:00:00\", \"count\": 297, \"location\": \"githu\"}, {\"month\": \"2018-11-01T00:00:00\", \"count\": 296, \"location\": \"githu\"}, {\"month\": \"2018-12-01T00:00:00\", \"count\": 271, \"location\": \"githu\"}, {\"month\": \"2019-01-01T00:00:00\", \"count\": 324, \"location\": \"githu\"}, {\"month\": \"2019-02-01T00:00:00\", \"count\": 203, \"location\": \"githu\"}, {\"month\": \"2019-03-01T00:00:00\", \"count\": 352, \"location\": \"githu\"}, {\"month\": \"2019-04-01T00:00:00\", \"count\": 246, \"location\": \"githu\"}, {\"month\": \"2019-05-01T00:00:00\", \"count\": 239, \"location\": \"githu\"}, {\"month\": \"2019-06-01T00:00:00\", \"count\": 221, \"location\": \"githu\"}, {\"month\": \"2019-07-01T00:00:00\", \"count\": 301, \"location\": \"githu\"}, {\"month\": \"2019-08-01T00:00:00\", \"count\": 330, \"location\": \"githu\"}, {\"month\": \"2019-09-01T00:00:00\", \"count\": 410, \"location\": \"githu\"}, {\"month\": \"2019-10-01T00:00:00\", \"count\": 341, \"location\": \"githu\"}, {\"month\": \"2019-11-01T00:00:00\", \"count\": 373, \"location\": \"githu\"}, {\"month\": \"2019-12-01T00:00:00\", \"count\": 375, \"location\": \"githu\"}, {\"month\": \"2020-01-01T00:00:00\", \"count\": 566, \"location\": \"githu\"}, {\"month\": \"2020-02-01T00:00:00\", \"count\": 323, \"location\": \"githu\"}, {\"month\": \"2020-03-01T00:00:00\", \"count\": 370, \"location\": \"githu\"}, {\"month\": \"2020-04-01T00:00:00\", \"count\": 340, \"location\": \"githu\"}, {\"month\": \"2020-05-01T00:00:00\", \"count\": 299, \"location\": \"githu\"}, {\"month\": \"2020-06-01T00:00:00\", \"count\": 290, \"location\": \"githu\"}, {\"month\": \"2020-07-01T00:00:00\", \"count\": 349, \"location\": \"githu\"}, {\"month\": \"2020-08-01T00:00:00\", \"count\": 4, \"location\": \"githu\"}, {\"month\": \"2012-10-01T00:00:00\", \"count\": 236, \"location\": \"jira\"}, {\"month\": \"2012-11-01T00:00:00\", \"count\": 5, \"location\": \"jira\"}, {\"month\": \"2012-12-01T00:00:00\", \"count\": 8, \"location\": \"jira\"}, {\"month\": \"2013-01-01T00:00:00\", \"count\": 16, \"location\": \"jira\"}, {\"month\": \"2013-02-01T00:00:00\", \"count\": 11, \"location\": \"jira\"}, {\"month\": \"2013-03-01T00:00:00\", \"count\": 3, \"location\": \"jira\"}, {\"month\": \"2013-04-01T00:00:00\", \"count\": 14, \"location\": \"jira\"}, {\"month\": \"2013-05-01T00:00:00\", \"count\": 15, \"location\": \"jira\"}, {\"month\": \"2013-06-01T00:00:00\", \"count\": 13, \"location\": \"jira\"}, {\"month\": \"2013-07-01T00:00:00\", \"count\": 23, \"location\": \"jira\"}, {\"month\": \"2013-08-01T00:00:00\", \"count\": 50, \"location\": \"jira\"}, {\"month\": \"2013-09-01T00:00:00\", \"count\": 24, \"location\": \"jira\"}, {\"month\": \"2013-10-01T00:00:00\", \"count\": 18, \"location\": \"jira\"}, {\"month\": \"2013-11-01T00:00:00\", \"count\": 11, \"location\": \"jira\"}, {\"month\": \"2013-12-01T00:00:00\", \"count\": 25, \"location\": \"jira\"}, {\"month\": \"2014-01-01T00:00:00\", \"count\": 23, \"location\": \"jira\"}, {\"month\": \"2014-02-01T00:00:00\", \"count\": 35, \"location\": \"jira\"}, {\"month\": \"2014-03-01T00:00:00\", \"count\": 102, \"location\": \"jira\"}, {\"month\": \"2014-04-01T00:00:00\", \"count\": 176, \"location\": \"jira\"}, {\"month\": \"2014-05-01T00:00:00\", \"count\": 175, \"location\": \"jira\"}, {\"month\": \"2014-06-01T00:00:00\", \"count\": 181, \"location\": \"jira\"}, {\"month\": \"2014-07-01T00:00:00\", \"count\": 238, \"location\": \"jira\"}, {\"month\": \"2014-08-01T00:00:00\", \"count\": 339, \"location\": \"jira\"}, {\"month\": \"2014-09-01T00:00:00\", \"count\": 255, \"location\": \"jira\"}, {\"month\": \"2014-10-01T00:00:00\", \"count\": 300, \"location\": \"jira\"}, {\"month\": \"2014-11-01T00:00:00\", \"count\": 302, \"location\": \"jira\"}, {\"month\": \"2014-12-01T00:00:00\", \"count\": 248, \"location\": \"jira\"}, {\"month\": \"2015-01-01T00:00:00\", \"count\": 227, \"location\": \"jira\"}, {\"month\": \"2015-02-01T00:00:00\", \"count\": 422, \"location\": \"jira\"}, {\"month\": \"2015-03-01T00:00:00\", \"count\": 258, \"location\": \"jira\"}, {\"month\": \"2015-04-01T00:00:00\", \"count\": 318, \"location\": \"jira\"}, {\"month\": \"2015-05-01T00:00:00\", \"count\": 498, \"location\": \"jira\"}, {\"month\": \"2015-06-01T00:00:00\", \"count\": 398, \"location\": \"jira\"}, {\"month\": \"2015-07-01T00:00:00\", \"count\": 615, \"location\": \"jira\"}, {\"month\": \"2015-08-01T00:00:00\", \"count\": 592, \"location\": \"jira\"}, {\"month\": \"2015-09-01T00:00:00\", \"count\": 345, \"location\": \"jira\"}, {\"month\": \"2015-10-01T00:00:00\", \"count\": 295, \"location\": \"jira\"}, {\"month\": \"2015-11-01T00:00:00\", \"count\": 491, \"location\": \"jira\"}, {\"month\": \"2015-12-01T00:00:00\", \"count\": 302, \"location\": \"jira\"}, {\"month\": \"2016-01-01T00:00:00\", \"count\": 318, \"location\": \"jira\"}, {\"month\": \"2016-02-01T00:00:00\", \"count\": 300, \"location\": \"jira\"}, {\"month\": \"2016-03-01T00:00:00\", \"count\": 399, \"location\": \"jira\"}, {\"month\": \"2016-04-01T00:00:00\", \"count\": 538, \"location\": \"jira\"}, {\"month\": \"2016-05-01T00:00:00\", \"count\": 430, \"location\": \"jira\"}, {\"month\": \"2016-06-01T00:00:00\", \"count\": 389, \"location\": \"jira\"}, {\"month\": \"2016-07-01T00:00:00\", \"count\": 260, \"location\": \"jira\"}, {\"month\": \"2016-08-01T00:00:00\", \"count\": 290, \"location\": \"jira\"}, {\"month\": \"2016-09-01T00:00:00\", \"count\": 237, \"location\": \"jira\"}, {\"month\": \"2016-10-01T00:00:00\", \"count\": 271, \"location\": \"jira\"}, {\"month\": \"2016-11-01T00:00:00\", \"count\": 299, \"location\": \"jira\"}, {\"month\": \"2016-12-01T00:00:00\", \"count\": 238, \"location\": \"jira\"}, {\"month\": \"2017-01-01T00:00:00\", \"count\": 203, \"location\": \"jira\"}, {\"month\": \"2017-02-01T00:00:00\", \"count\": 194, \"location\": \"jira\"}, {\"month\": \"2017-03-01T00:00:00\", \"count\": 247, \"location\": \"jira\"}, {\"month\": \"2017-04-01T00:00:00\", \"count\": 182, \"location\": \"jira\"}, {\"month\": \"2017-05-01T00:00:00\", \"count\": 216, \"location\": \"jira\"}, {\"month\": \"2017-06-01T00:00:00\", \"count\": 176, \"location\": \"jira\"}, {\"month\": \"2017-07-01T00:00:00\", \"count\": 181, \"location\": \"jira\"}, {\"month\": \"2017-08-01T00:00:00\", \"count\": 164, \"location\": \"jira\"}, {\"month\": \"2017-09-01T00:00:00\", \"count\": 144, \"location\": \"jira\"}, {\"month\": \"2017-10-01T00:00:00\", \"count\": 128, \"location\": \"jira\"}, {\"month\": \"2017-11-01T00:00:00\", \"count\": 162, \"location\": \"jira\"}, {\"month\": \"2017-12-01T00:00:00\", \"count\": 179, \"location\": \"jira\"}, {\"month\": \"2018-01-01T00:00:00\", \"count\": 227, \"location\": \"jira\"}, {\"month\": \"2018-02-01T00:00:00\", \"count\": 125, \"location\": \"jira\"}, {\"month\": \"2018-03-01T00:00:00\", \"count\": 122, \"location\": \"jira\"}, {\"month\": \"2018-04-01T00:00:00\", \"count\": 138, \"location\": \"jira\"}, {\"month\": \"2018-05-01T00:00:00\", \"count\": 163, \"location\": \"jira\"}, {\"month\": \"2018-06-01T00:00:00\", \"count\": 132, \"location\": \"jira\"}, {\"month\": \"2018-07-01T00:00:00\", \"count\": 171, \"location\": \"jira\"}, {\"month\": \"2018-08-01T00:00:00\", \"count\": 192, \"location\": \"jira\"}, {\"month\": \"2018-09-01T00:00:00\", \"count\": 168, \"location\": \"jira\"}, {\"month\": \"2018-10-01T00:00:00\", \"count\": 212, \"location\": \"jira\"}, {\"month\": \"2018-11-01T00:00:00\", \"count\": 174, \"location\": \"jira\"}, {\"month\": \"2018-12-01T00:00:00\", \"count\": 138, \"location\": \"jira\"}, {\"month\": \"2019-01-01T00:00:00\", \"count\": 189, \"location\": \"jira\"}, {\"month\": \"2019-02-01T00:00:00\", \"count\": 124, \"location\": \"jira\"}, {\"month\": \"2019-03-01T00:00:00\", \"count\": 212, \"location\": \"jira\"}, {\"month\": \"2019-04-01T00:00:00\", \"count\": 137, \"location\": \"jira\"}, {\"month\": \"2019-05-01T00:00:00\", \"count\": 154, \"location\": \"jira\"}, {\"month\": \"2019-06-01T00:00:00\", \"count\": 143, \"location\": \"jira\"}, {\"month\": \"2019-07-01T00:00:00\", \"count\": 196, \"location\": \"jira\"}, {\"month\": \"2019-08-01T00:00:00\", \"count\": 211, \"location\": \"jira\"}, {\"month\": \"2019-09-01T00:00:00\", \"count\": 249, \"location\": 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},
"execution_count": 21,
"metadata": {},
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}
],
"source": [
"resolved_prs = closed_prs[[\"number\"]].groupby([closed_prs.closedAt.dt.to_period(\"M\")]).count()\n",
"resolved_prs[\"location\"] = \"githu\"\n",
"resolved_prs.index = resolved_prs.index.rename(\"month\")\n",
"resolved_prs = resolved_prs.rename(columns={\"number\":\"count\"})\n",
"\n",
"\n",
"resolved_jiras = resolved[[\"key\"]].groupby([resolved.resolved.dt.to_period(\"M\")]).count()\n",
"resolved_jiras.index = resolved_jiras.index.rename(\"month\")\n",
"resolved_jiras[\"location\"] = \"jira\"\n",
"resolved_jiras = resolved_jiras.rename(columns={\"key\":\"count\"})\n",
"resolved_jiras\n",
"\n",
"\n",
"show = pd.concat([resolved_prs,resolved_jiras]).reset_index().set_index(\"month\").to_timestamp().reset_index()\n",
"\n",
"chart = alt.Chart(show).mark_point(opacity=0.1).encode(\n",
" x=alt.X(\"month:T\",axis=alt.Axis(title=\"month\")),\n",
" y=alt.Y(\"count:Q\",axis=alt.Axis(title='# of monthly resolved issues/prs')),\n",
" color=\"location:N\"\n",
").properties(\n",
" width=800,\n",
" height=400\n",
")\n",
"chart + chart.transform_loess('month', 'count', groupby=[\"location\"],bandwidth=0.1).mark_line()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Contributors"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Top jira contributors"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>key</th>\n",
" </tr>\n",
" <tr>\n",
" <th>assignee</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>rxin</th>\n",
" <td>685</td>\n",
" </tr>\n",
" <tr>\n",
" <th>cloud_fan</th>\n",
" <td>667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>davies</th>\n",
" <td>484</td>\n",
" </tr>\n",
" <tr>\n",
" <th>dongjoon</th>\n",
" <td>468</td>\n",
" </tr>\n",
" <tr>\n",
" <th>hyukjin.kwon</th>\n",
" <td>462</td>\n",
" </tr>\n",
" <tr>\n",
" <th>zsxwing</th>\n",
" <td>448</td>\n",
" </tr>\n",
" <tr>\n",
" <th>viirya</th>\n",
" <td>428</td>\n",
" </tr>\n",
" <tr>\n",
" <th>joshrosen</th>\n",
" <td>411</td>\n",
" </tr>\n",
" <tr>\n",
" <th>srowen</th>\n",
" <td>408</td>\n",
" </tr>\n",
" <tr>\n",
" <th>smilegator</th>\n",
" <td>354</td>\n",
" </tr>\n",
" <tr>\n",
" <th>vanzin</th>\n",
" <td>340</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mengxr</th>\n",
" <td>340</td>\n",
" </tr>\n",
" <tr>\n",
" <th>maxgekk</th>\n",
" <td>320</td>\n",
" </tr>\n",
" <tr>\n",
" <th>andrewor14</th>\n",
" <td>284</td>\n",
" </tr>\n",
" <tr>\n",
" <th>lian cheng</th>\n",
" <td>282</td>\n",
" </tr>\n",
" <tr>\n",
" <th>tdas</th>\n",
" <td>256</td>\n",
" </tr>\n",
" <tr>\n",
" <th>yanboliang</th>\n",
" <td>245</td>\n",
" </tr>\n",
" <tr>\n",
" <th>marmbrus</th>\n",
" <td>239</td>\n",
" </tr>\n",
" <tr>\n",
" <th>q79969786</th>\n",
" <td>230</td>\n",
" </tr>\n",
" <tr>\n",
" <th>yhuai</th>\n",
" <td>215</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" key\n",
"assignee \n",
"rxin 685\n",
"cloud_fan 667\n",
"davies 484\n",
"dongjoon 468\n",
"hyukjin.kwon 462\n",
"zsxwing 448\n",
"viirya 428\n",
"joshrosen 411\n",
"srowen 408\n",
"smilegator 354\n",
"vanzin 340\n",
"mengxr 340\n",
"maxgekk 320\n",
"andrewor14 284\n",
"lian cheng 282\n",
"tdas 256\n",
"yanboliang 245\n",
"marmbrus 239\n",
"q79969786 230\n",
"yhuai 215"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"jira_contributions = resolved[[\"key\"]].groupby(resolved.assignee).count()\n",
"jira_contributions.sort_values(\"key\", ascending=False).head(20)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Top Github PR authors"
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>number</th>\n",
" <th>apache_id</th>\n",
" <th>project</th>\n",
" <th>role</th>\n",
" <th>github_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>68.0</th>\n",
" <td>955</td>\n",
" <td>wenchen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>cloud-fan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>48.0</th>\n",
" <td>856</td>\n",
" <td>rxin</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>rxin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16.0</th>\n",
" <td>825</td>\n",
" <td>gurwls223</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>hyukjinkwon</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11.0</th>\n",
" <td>801</td>\n",
" <td>dongjoon</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>dongjoon-hyun</td>\n",
" </tr>\n",
" <tr>\n",
" <th>66.0</th>\n",
" <td>736</td>\n",
" <td>viirya</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>viirya</td>\n",
" </tr>\n",
" <tr>\n",
" <th>58.0</th>\n",
" <td>683</td>\n",
" <td>srowen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>srowen</td>\n",
" </tr>\n",
" <tr>\n",
" <th>76.0</th>\n",
" <td>598</td>\n",
" <td>zsxwing</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>zsxwing</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35.0</th>\n",
" <td>598</td>\n",
" <td>lixiao</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>gatorsmile</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NaN</th>\n",
" <td>518</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>davies</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NaN</th>\n",
" <td>456</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>maxgekk</td>\n",
" </tr>\n",
" <tr>\n",
" <th>65.0</th>\n",
" <td>446</td>\n",
" <td>vanzin</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>vanzin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34.0</th>\n",
" <td>435</td>\n",
" <td>lian</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>liancheng</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27.0</th>\n",
" <td>433</td>\n",
" <td>joshrosen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>joshrosen</td>\n",
" </tr>\n",
" <tr>\n",
" <th>74.0</th>\n",
" <td>425</td>\n",
" <td>yumwang</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>wangyum</td>\n",
" </tr>\n",
" <tr>\n",
" <th>41.0</th>\n",
" <td>365</td>\n",
" <td>meng</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>mengxr</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NaN</th>\n",
" <td>354</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>andrewor14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>73.0</th>\n",
" <td>336</td>\n",
" <td>yliang</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>yanboliang</td>\n",
" </tr>\n",
" <tr>\n",
" <th>72.0</th>\n",
" <td>325</td>\n",
" <td>yhuai</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>yhuai</td>\n",
" </tr>\n",
" <tr>\n",
" <th>71.0</th>\n",
" <td>317</td>\n",
" <td>yamamuro</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>maropu</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NaN</th>\n",
" <td>316</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>marmbrus</td>\n",
" </tr>\n",
" <tr>\n",
" <th>47.0</th>\n",
" <td>296</td>\n",
" <td>ruifengz</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>zhengruifeng</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NaN</th>\n",
" <td>287</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>tdas</td>\n",
" </tr>\n",
" <tr>\n",
" <th>52.0</th>\n",
" <td>268</td>\n",
" <td>sarutak</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>sarutak</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15.0</th>\n",
" <td>236</td>\n",
" <td>gengliang</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>gengliangwang</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NaN</th>\n",
" <td>231</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>yaooqinn</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20.0</th>\n",
" <td>230</td>\n",
" <td>huaxingao</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>huaxingao</td>\n",
" </tr>\n",
" <tr>\n",
" <th>NaN</th>\n",
" <td>219</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>mgaido91</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64.0</th>\n",
" <td>212</td>\n",
" <td>ueshin</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>ueshin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28.0</th>\n",
" <td>209</td>\n",
" <td>jshao</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>jerryshao</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30.0</th>\n",
" <td>208</td>\n",
" <td>kabhwan</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>heartsavior</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" number apache_id project role github_id\n",
"68.0 955 wenchen spark pmc cloud-fan\n",
"48.0 856 rxin spark pmc rxin\n",
"16.0 825 gurwls223 spark pmc hyukjinkwon\n",
"11.0 801 dongjoon spark pmc dongjoon-hyun\n",
"66.0 736 viirya spark committer viirya\n",
"58.0 683 srowen spark pmc srowen\n",
"76.0 598 zsxwing spark pmc zsxwing\n",
"35.0 598 lixiao spark pmc gatorsmile\n",
"NaN 518 NaN NaN NaN davies\n",
"NaN 456 NaN NaN NaN maxgekk\n",
"65.0 446 vanzin spark pmc vanzin\n",
"34.0 435 lian spark pmc liancheng\n",
"27.0 433 joshrosen spark pmc joshrosen\n",
"74.0 425 yumwang spark committer wangyum\n",
"41.0 365 meng spark pmc mengxr\n",
"NaN 354 NaN NaN NaN andrewor14\n",
"73.0 336 yliang spark pmc yanboliang\n",
"72.0 325 yhuai spark pmc yhuai\n",
"71.0 317 yamamuro spark committer maropu\n",
"NaN 316 NaN NaN NaN marmbrus\n",
"47.0 296 ruifengz spark committer zhengruifeng\n",
"NaN 287 NaN NaN NaN tdas\n",
"52.0 268 sarutak spark committer sarutak\n",
"15.0 236 gengliang spark committer gengliangwang\n",
"NaN 231 NaN NaN NaN yaooqinn\n",
"20.0 230 huaxingao spark committer huaxingao\n",
"NaN 219 NaN NaN NaN mgaido91\n",
"64.0 212 ueshin spark pmc ueshin\n",
"28.0 209 jshao spark pmc jerryshao\n",
"30.0 208 kabhwan spark committer heartsavior"
]
},
"execution_count": 23,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pr_contributions = prs[[\"number\"]].groupby(prs.author).count()\n",
"pr_contributions = pd.merge(pr_contributions, apache_project_roles, left_index=True, right_on=\"github_id\", how=\"left\").sort_values(\"number\", ascending=False).head(30)\n",
"pr_contributions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Top github PR commenters"
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
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"</style>\n",
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" <th></th>\n",
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" <th>pr_comments</th>\n",
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" <th>role</th>\n",
" <th>github_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2700</th>\n",
" <td>sparkqa</td>\n",
" <td>125801.0</td>\n",
" <td>0.0</td>\n",
" <td>125801.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>171</th>\n",
" <td>amplabjenkins</td>\n",
" <td>31658.0</td>\n",
" <td>0.0</td>\n",
" <td>31658.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2716</th>\n",
" <td>srowen</td>\n",
" <td>10574.0</td>\n",
" <td>1134.0</td>\n",
" <td>11708.0</td>\n",
" <td>srowen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>srowen</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1185</th>\n",
" <td>hyukjinkwon</td>\n",
" <td>7510.0</td>\n",
" <td>3822.0</td>\n",
" <td>11332.0</td>\n",
" <td>gurwls223</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>hyukjinkwon</td>\n",
" </tr>\n",
" <tr>\n",
" <th>542</th>\n",
" <td>cloud-fan</td>\n",
" <td>7997.0</td>\n",
" <td>2550.0</td>\n",
" <td>10547.0</td>\n",
" <td>wenchen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>cloud-fan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>770</th>\n",
" <td>dongjoon-hyun</td>\n",
" <td>5873.0</td>\n",
" <td>4249.0</td>\n",
" <td>10122.0</td>\n",
" <td>dongjoon</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>dongjoon-hyun</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2476</th>\n",
" <td>rxin</td>\n",
" <td>7131.0</td>\n",
" <td>1281.0</td>\n",
" <td>8412.0</td>\n",
" <td>rxin</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>rxin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>998</th>\n",
" <td>gatorsmile</td>\n",
" <td>5592.0</td>\n",
" <td>1798.0</td>\n",
" <td>7390.0</td>\n",
" <td>lixiao</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>gatorsmile</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2973</th>\n",
" <td>vanzin</td>\n",
" <td>3840.0</td>\n",
" <td>1652.0</td>\n",
" <td>5492.0</td>\n",
" <td>vanzin</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>vanzin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2993</th>\n",
" <td>viirya</td>\n",
" <td>1617.0</td>\n",
" <td>3585.0</td>\n",
" <td>5202.0</td>\n",
" <td>viirya</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>viirya</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1445</th>\n",
" <td>joshrosen</td>\n",
" <td>3423.0</td>\n",
" <td>1612.0</td>\n",
" <td>5035.0</td>\n",
" <td>joshrosen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>joshrosen</td>\n",
" </tr>\n",
" <tr>\n",
" <th>185</th>\n",
" <td>andrewor14</td>\n",
" <td>3880.0</td>\n",
" <td>920.0</td>\n",
" <td>4800.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1814</th>\n",
" <td>maropu</td>\n",
" <td>2318.0</td>\n",
" <td>1666.0</td>\n",
" <td>3984.0</td>\n",
" <td>yamamuro</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>maropu</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1879</th>\n",
" <td>mengxr</td>\n",
" <td>3031.0</td>\n",
" <td>611.0</td>\n",
" <td>3642.0</td>\n",
" <td>meng</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>mengxr</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1813</th>\n",
" <td>marmbrus</td>\n",
" <td>3167.0</td>\n",
" <td>322.0</td>\n",
" <td>3489.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1386</th>\n",
" <td>jkbradley</td>\n",
" <td>2713.0</td>\n",
" <td>585.0</td>\n",
" <td>3298.0</td>\n",
" <td>jkbradley</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>jkbradley</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2324</th>\n",
" <td>pwendell</td>\n",
" <td>2843.0</td>\n",
" <td>311.0</td>\n",
" <td>3154.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3326</th>\n",
" <td>zsxwing</td>\n",
" <td>1616.0</td>\n",
" <td>1493.0</td>\n",
" <td>3109.0</td>\n",
" <td>zsxwing</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>zsxwing</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2842</th>\n",
" <td>tgravescs</td>\n",
" <td>2177.0</td>\n",
" <td>400.0</td>\n",
" <td>2577.0</td>\n",
" <td>tgraves</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>tgravescs</td>\n",
" </tr>\n",
" <tr>\n",
" <th>672</th>\n",
" <td>davies</td>\n",
" <td>1522.0</td>\n",
" <td>1023.0</td>\n",
" <td>2545.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3206</th>\n",
" <td>yhuai</td>\n",
" <td>2015.0</td>\n",
" <td>512.0</td>\n",
" <td>2527.0</td>\n",
" <td>yhuai</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>yhuai</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1647</th>\n",
" <td>liancheng</td>\n",
" <td>1418.0</td>\n",
" <td>994.0</td>\n",
" <td>2412.0</td>\n",
" <td>lian</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>liancheng</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1116</th>\n",
" <td>heartsavior</td>\n",
" <td>681.0</td>\n",
" <td>1632.0</td>\n",
" <td>2313.0</td>\n",
" <td>kabhwan</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>heartsavior</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2823</th>\n",
" <td>tdas</td>\n",
" <td>1645.0</td>\n",
" <td>611.0</td>\n",
" <td>2256.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>935</th>\n",
" <td>felixcheung</td>\n",
" <td>1694.0</td>\n",
" <td>504.0</td>\n",
" <td>2198.0</td>\n",
" <td>felixcheung</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>felixcheung</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1154</th>\n",
" <td>holdenk</td>\n",
" <td>1131.0</td>\n",
" <td>799.0</td>\n",
" <td>1930.0</td>\n",
" <td>holden</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>holdenk</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1551</th>\n",
" <td>kiszk</td>\n",
" <td>874.0</td>\n",
" <td>983.0</td>\n",
" <td>1857.0</td>\n",
" <td>kiszk</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>kiszk</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1182</th>\n",
" <td>hvanhovell</td>\n",
" <td>1472.0</td>\n",
" <td>326.0</td>\n",
" <td>1798.0</td>\n",
" <td>hvanhovell</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>hvanhovell</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2611</th>\n",
" <td>shivaram</td>\n",
" <td>1505.0</td>\n",
" <td>187.0</td>\n",
" <td>1692.0</td>\n",
" <td>shivaram</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>shivaram</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1352</th>\n",
" <td>jerryshao</td>\n",
" <td>880.0</td>\n",
" <td>720.0</td>\n",
" <td>1600.0</td>\n",
" <td>jshao</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>jerryshao</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" author pr_comment_on_other_pr pr_comment_on_own_pr \\\n",
"2700 sparkqa 125801.0 0.0 \n",
"171 amplabjenkins 31658.0 0.0 \n",
"2716 srowen 10574.0 1134.0 \n",
"1185 hyukjinkwon 7510.0 3822.0 \n",
"542 cloud-fan 7997.0 2550.0 \n",
"770 dongjoon-hyun 5873.0 4249.0 \n",
"2476 rxin 7131.0 1281.0 \n",
"998 gatorsmile 5592.0 1798.0 \n",
"2973 vanzin 3840.0 1652.0 \n",
"2993 viirya 1617.0 3585.0 \n",
"1445 joshrosen 3423.0 1612.0 \n",
"185 andrewor14 3880.0 920.0 \n",
"1814 maropu 2318.0 1666.0 \n",
"1879 mengxr 3031.0 611.0 \n",
"1813 marmbrus 3167.0 322.0 \n",
"1386 jkbradley 2713.0 585.0 \n",
"2324 pwendell 2843.0 311.0 \n",
"3326 zsxwing 1616.0 1493.0 \n",
"2842 tgravescs 2177.0 400.0 \n",
"672 davies 1522.0 1023.0 \n",
"3206 yhuai 2015.0 512.0 \n",
"1647 liancheng 1418.0 994.0 \n",
"1116 heartsavior 681.0 1632.0 \n",
"2823 tdas 1645.0 611.0 \n",
"935 felixcheung 1694.0 504.0 \n",
"1154 holdenk 1131.0 799.0 \n",
"1551 kiszk 874.0 983.0 \n",
"1182 hvanhovell 1472.0 326.0 \n",
"2611 shivaram 1505.0 187.0 \n",
"1352 jerryshao 880.0 720.0 \n",
"\n",
" pr_comments apache_id project role github_id \n",
"2700 125801.0 NaN NaN NaN NaN \n",
"171 31658.0 NaN NaN NaN NaN \n",
"2716 11708.0 srowen spark pmc srowen \n",
"1185 11332.0 gurwls223 spark pmc hyukjinkwon \n",
"542 10547.0 wenchen spark pmc cloud-fan \n",
"770 10122.0 dongjoon spark pmc dongjoon-hyun \n",
"2476 8412.0 rxin spark pmc rxin \n",
"998 7390.0 lixiao spark pmc gatorsmile \n",
"2973 5492.0 vanzin spark pmc vanzin \n",
"2993 5202.0 viirya spark committer viirya \n",
"1445 5035.0 joshrosen spark pmc joshrosen \n",
"185 4800.0 NaN NaN NaN NaN \n",
"1814 3984.0 yamamuro spark committer maropu \n",
"1879 3642.0 meng spark pmc mengxr \n",
"1813 3489.0 NaN NaN NaN NaN \n",
"1386 3298.0 jkbradley spark pmc jkbradley \n",
"2324 3154.0 NaN NaN NaN NaN \n",
"3326 3109.0 zsxwing spark pmc zsxwing \n",
"2842 2577.0 tgraves spark pmc tgravescs \n",
"672 2545.0 NaN NaN NaN NaN \n",
"3206 2527.0 yhuai spark pmc yhuai \n",
"1647 2412.0 lian spark pmc liancheng \n",
"1116 2313.0 kabhwan spark committer heartsavior \n",
"2823 2256.0 NaN NaN NaN NaN \n",
"935 2198.0 felixcheung spark pmc felixcheung \n",
"1154 1930.0 holden spark pmc holdenk \n",
"1551 1857.0 kiszk spark committer kiszk \n",
"1182 1798.0 hvanhovell spark pmc hvanhovell \n",
"2611 1692.0 shivaram spark pmc shivaram \n",
"1352 1600.0 jshao spark pmc jerryshao "
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pr_comment_contributions = pr_comments[[\"createdAt\"]].groupby([pr_comments.author,pr_comments.own_pr]).count()\n",
"pr_comment_contributions = pr_comment_contributions.reset_index().pivot(index=\"author\",columns=\"own_pr\",values=\"createdAt\").reset_index()\n",
"pr_comment_contributions = pr_comment_contributions.rename(columns={False:\"pr_comment_on_other_pr\",True:\"pr_comment_on_own_pr\"})\n",
"pr_comment_contributions = pr_comment_contributions.fillna(0)\n",
"pr_comment_contributions[\"pr_comments\"] = pr_comment_contributions.pr_comment_on_other_pr + pr_comment_contributions.pr_comment_on_own_pr\n",
"pr_comment_contributions = pd.merge(pr_comment_contributions, apache_project_roles, left_on=\"author\", right_on=\"github_id\", how=\"left\")\n",
"\n",
"pr_comment_contributions.sort_values(\"pr_comments\",ascending=False).head(30)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Top github comments on other prs"
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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"\n",
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" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>author</th>\n",
" <th>pr_comment_on_other_pr</th>\n",
" <th>pr_comment_on_own_pr</th>\n",
" <th>pr_comments</th>\n",
" <th>apache_id</th>\n",
" <th>project</th>\n",
" <th>role</th>\n",
" <th>github_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2700</th>\n",
" <td>sparkqa</td>\n",
" <td>125801.0</td>\n",
" <td>0.0</td>\n",
" <td>125801.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>171</th>\n",
" <td>amplabjenkins</td>\n",
" <td>31658.0</td>\n",
" <td>0.0</td>\n",
" <td>31658.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2716</th>\n",
" <td>srowen</td>\n",
" <td>10574.0</td>\n",
" <td>1134.0</td>\n",
" <td>11708.0</td>\n",
" <td>srowen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>srowen</td>\n",
" </tr>\n",
" <tr>\n",
" <th>542</th>\n",
" <td>cloud-fan</td>\n",
" <td>7997.0</td>\n",
" <td>2550.0</td>\n",
" <td>10547.0</td>\n",
" <td>wenchen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>cloud-fan</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1185</th>\n",
" <td>hyukjinkwon</td>\n",
" <td>7510.0</td>\n",
" <td>3822.0</td>\n",
" <td>11332.0</td>\n",
" <td>gurwls223</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>hyukjinkwon</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2476</th>\n",
" <td>rxin</td>\n",
" <td>7131.0</td>\n",
" <td>1281.0</td>\n",
" <td>8412.0</td>\n",
" <td>rxin</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>rxin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>770</th>\n",
" <td>dongjoon-hyun</td>\n",
" <td>5873.0</td>\n",
" <td>4249.0</td>\n",
" <td>10122.0</td>\n",
" <td>dongjoon</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>dongjoon-hyun</td>\n",
" </tr>\n",
" <tr>\n",
" <th>998</th>\n",
" <td>gatorsmile</td>\n",
" <td>5592.0</td>\n",
" <td>1798.0</td>\n",
" <td>7390.0</td>\n",
" <td>lixiao</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>gatorsmile</td>\n",
" </tr>\n",
" <tr>\n",
" <th>185</th>\n",
" <td>andrewor14</td>\n",
" <td>3880.0</td>\n",
" <td>920.0</td>\n",
" <td>4800.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2973</th>\n",
" <td>vanzin</td>\n",
" <td>3840.0</td>\n",
" <td>1652.0</td>\n",
" <td>5492.0</td>\n",
" <td>vanzin</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>vanzin</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1445</th>\n",
" <td>joshrosen</td>\n",
" <td>3423.0</td>\n",
" <td>1612.0</td>\n",
" <td>5035.0</td>\n",
" <td>joshrosen</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>joshrosen</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1813</th>\n",
" <td>marmbrus</td>\n",
" <td>3167.0</td>\n",
" <td>322.0</td>\n",
" <td>3489.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1879</th>\n",
" <td>mengxr</td>\n",
" <td>3031.0</td>\n",
" <td>611.0</td>\n",
" <td>3642.0</td>\n",
" <td>meng</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>mengxr</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2324</th>\n",
" <td>pwendell</td>\n",
" <td>2843.0</td>\n",
" <td>311.0</td>\n",
" <td>3154.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1386</th>\n",
" <td>jkbradley</td>\n",
" <td>2713.0</td>\n",
" <td>585.0</td>\n",
" <td>3298.0</td>\n",
" <td>jkbradley</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>jkbradley</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1814</th>\n",
" <td>maropu</td>\n",
" <td>2318.0</td>\n",
" <td>1666.0</td>\n",
" <td>3984.0</td>\n",
" <td>yamamuro</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>maropu</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2842</th>\n",
" <td>tgravescs</td>\n",
" <td>2177.0</td>\n",
" <td>400.0</td>\n",
" <td>2577.0</td>\n",
" <td>tgraves</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>tgravescs</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3206</th>\n",
" <td>yhuai</td>\n",
" <td>2015.0</td>\n",
" <td>512.0</td>\n",
" <td>2527.0</td>\n",
" <td>yhuai</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>yhuai</td>\n",
" </tr>\n",
" <tr>\n",
" <th>935</th>\n",
" <td>felixcheung</td>\n",
" <td>1694.0</td>\n",
" <td>504.0</td>\n",
" <td>2198.0</td>\n",
" <td>felixcheung</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>felixcheung</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2823</th>\n",
" <td>tdas</td>\n",
" <td>1645.0</td>\n",
" <td>611.0</td>\n",
" <td>2256.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2993</th>\n",
" <td>viirya</td>\n",
" <td>1617.0</td>\n",
" <td>3585.0</td>\n",
" <td>5202.0</td>\n",
" <td>viirya</td>\n",
" <td>spark</td>\n",
" <td>committer</td>\n",
" <td>viirya</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3326</th>\n",
" <td>zsxwing</td>\n",
" <td>1616.0</td>\n",
" <td>1493.0</td>\n",
" <td>3109.0</td>\n",
" <td>zsxwing</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>zsxwing</td>\n",
" </tr>\n",
" <tr>\n",
" <th>672</th>\n",
" <td>davies</td>\n",
" <td>1522.0</td>\n",
" <td>1023.0</td>\n",
" <td>2545.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2611</th>\n",
" <td>shivaram</td>\n",
" <td>1505.0</td>\n",
" <td>187.0</td>\n",
" <td>1692.0</td>\n",
" <td>shivaram</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>shivaram</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1182</th>\n",
" <td>hvanhovell</td>\n",
" <td>1472.0</td>\n",
" <td>326.0</td>\n",
" <td>1798.0</td>\n",
" <td>hvanhovell</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>hvanhovell</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1647</th>\n",
" <td>liancheng</td>\n",
" <td>1418.0</td>\n",
" <td>994.0</td>\n",
" <td>2412.0</td>\n",
" <td>lian</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>liancheng</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2708</th>\n",
" <td>squito</td>\n",
" <td>1141.0</td>\n",
" <td>412.0</td>\n",
" <td>1553.0</td>\n",
" <td>irashid</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>squito</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1154</th>\n",
" <td>holdenk</td>\n",
" <td>1131.0</td>\n",
" <td>799.0</td>\n",
" <td>1930.0</td>\n",
" <td>holden</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>holdenk</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1824</th>\n",
" <td>mateiz</td>\n",
" <td>1129.0</td>\n",
" <td>130.0</td>\n",
" <td>1259.0</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1352</th>\n",
" <td>jerryshao</td>\n",
" <td>880.0</td>\n",
" <td>720.0</td>\n",
" <td>1600.0</td>\n",
" <td>jshao</td>\n",
" <td>spark</td>\n",
" <td>pmc</td>\n",
" <td>jerryshao</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" author pr_comment_on_other_pr pr_comment_on_own_pr \\\n",
"2700 sparkqa 125801.0 0.0 \n",
"171 amplabjenkins 31658.0 0.0 \n",
"2716 srowen 10574.0 1134.0 \n",
"542 cloud-fan 7997.0 2550.0 \n",
"1185 hyukjinkwon 7510.0 3822.0 \n",
"2476 rxin 7131.0 1281.0 \n",
"770 dongjoon-hyun 5873.0 4249.0 \n",
"998 gatorsmile 5592.0 1798.0 \n",
"185 andrewor14 3880.0 920.0 \n",
"2973 vanzin 3840.0 1652.0 \n",
"1445 joshrosen 3423.0 1612.0 \n",
"1813 marmbrus 3167.0 322.0 \n",
"1879 mengxr 3031.0 611.0 \n",
"2324 pwendell 2843.0 311.0 \n",
"1386 jkbradley 2713.0 585.0 \n",
"1814 maropu 2318.0 1666.0 \n",
"2842 tgravescs 2177.0 400.0 \n",
"3206 yhuai 2015.0 512.0 \n",
"935 felixcheung 1694.0 504.0 \n",
"2823 tdas 1645.0 611.0 \n",
"2993 viirya 1617.0 3585.0 \n",
"3326 zsxwing 1616.0 1493.0 \n",
"672 davies 1522.0 1023.0 \n",
"2611 shivaram 1505.0 187.0 \n",
"1182 hvanhovell 1472.0 326.0 \n",
"1647 liancheng 1418.0 994.0 \n",
"2708 squito 1141.0 412.0 \n",
"1154 holdenk 1131.0 799.0 \n",
"1824 mateiz 1129.0 130.0 \n",
"1352 jerryshao 880.0 720.0 \n",
"\n",
" pr_comments apache_id project role github_id \n",
"2700 125801.0 NaN NaN NaN NaN \n",
"171 31658.0 NaN NaN NaN NaN \n",
"2716 11708.0 srowen spark pmc srowen \n",
"542 10547.0 wenchen spark pmc cloud-fan \n",
"1185 11332.0 gurwls223 spark pmc hyukjinkwon \n",
"2476 8412.0 rxin spark pmc rxin \n",
"770 10122.0 dongjoon spark pmc dongjoon-hyun \n",
"998 7390.0 lixiao spark pmc gatorsmile \n",
"185 4800.0 NaN NaN NaN NaN \n",
"2973 5492.0 vanzin spark pmc vanzin \n",
"1445 5035.0 joshrosen spark pmc joshrosen \n",
"1813 3489.0 NaN NaN NaN NaN \n",
"1879 3642.0 meng spark pmc mengxr \n",
"2324 3154.0 NaN NaN NaN NaN \n",
"1386 3298.0 jkbradley spark pmc jkbradley \n",
"1814 3984.0 yamamuro spark committer maropu \n",
"2842 2577.0 tgraves spark pmc tgravescs \n",
"3206 2527.0 yhuai spark pmc yhuai \n",
"935 2198.0 felixcheung spark pmc felixcheung \n",
"2823 2256.0 NaN NaN NaN NaN \n",
"2993 5202.0 viirya spark committer viirya \n",
"3326 3109.0 zsxwing spark pmc zsxwing \n",
"672 2545.0 NaN NaN NaN NaN \n",
"2611 1692.0 shivaram spark pmc shivaram \n",
"1182 1798.0 hvanhovell spark pmc hvanhovell \n",
"1647 2412.0 lian spark pmc liancheng \n",
"2708 1553.0 irashid spark pmc squito \n",
"1154 1930.0 holden spark pmc holdenk \n",
"1824 1259.0 NaN NaN NaN NaN \n",
"1352 1600.0 jshao spark pmc jerryshao "
]
},
"execution_count": 25,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pr_comment_contributions.sort_values(\"pr_comment_on_other_pr\",ascending=False).head(30)"
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
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{\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 6.0, \"author\": \"zunwenyou\"}, {\"pr_comment_on_other_pr\": 3.0, \"pr_comment_on_own_pr\": 71.0, \"author\": \"zuotingbing\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 3.0, \"author\": \"zuowang\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 1.0, \"author\": \"zuston\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 4.0, \"author\": \"zuxqoj\"}, {\"pr_comment_on_other_pr\": 89.0, \"pr_comment_on_own_pr\": 18.0, \"author\": \"zzcclp\"}, {\"pr_comment_on_other_pr\": 1.0, \"pr_comment_on_own_pr\": 32.0, \"author\": \"zzvara\"}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"source = pr_comment_contributions[pr_comment_contributions[\"pr_comment_on_own_pr\"] != 0]\n",
"\n",
"chart = alt.Chart(source[[\"pr_comment_on_other_pr\",\"pr_comment_on_own_pr\",\"author\"]]).mark_point(size=60).encode(\n",
" alt.X('pr_comment_on_other_pr'),\n",
" alt.Y('pr_comment_on_own_pr:Q'),\n",
" tooltip=['author']\n",
").properties(\n",
" width=800,\n",
" height=500\n",
")\n",
"\n",
"chart"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<div id=\"altair-viz-b7ff2809b39344e6a23107887efd27a7\"></div>\n",
"<script type=\"text/javascript\">\n",
" (function(spec, embedOpt){\n",
" let outputDiv = document.currentScript.previousElementSibling;\n",
" if (outputDiv.id !== \"altair-viz-b7ff2809b39344e6a23107887efd27a7\") {\n",
" outputDiv = document.getElementById(\"altair-viz-b7ff2809b39344e6a23107887efd27a7\");\n",
" }\n",
" const paths = {\n",
" \"vega\": \"https://cdn.jsdelivr.net/npm//vega@5?noext\",\n",
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.8.1?noext\",\n",
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm//vega-embed@6?noext\",\n",
" };\n",
"\n",
" function loadScript(lib) {\n",
" return new Promise(function(resolve, reject) {\n",
" var s = document.createElement('script');\n",
" s.src = paths[lib];\n",
" s.async = true;\n",
" s.onload = () => resolve(paths[lib]);\n",
" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" });\n",
" }\n",
"\n",
" function showError(err) {\n",
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
" throw err;\n",
" }\n",
"\n",
" function displayChart(vegaEmbed) {\n",
" vegaEmbed(outputDiv, spec, embedOpt)\n",
" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
" }\n",
"\n",
" if(typeof define === \"function\" && define.amd) {\n",
" requirejs.config({paths});\n",
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
" } else if (typeof vegaEmbed === \"function\") {\n",
" displayChart(vegaEmbed);\n",
" } else {\n",
" loadScript(\"vega\")\n",
" .then(() => loadScript(\"vega-lite\"))\n",
" .then(() => loadScript(\"vega-embed\"))\n",
" .catch(showError)\n",
" .then(() => displayChart(vegaEmbed));\n",
" }\n",
" })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"layer\": [{\"mark\": {\"type\": \"point\", \"size\": 60}, \"encoding\": {\"tooltip\": [{\"type\": \"nominal\", \"field\": \"author\"}], \"x\": {\"type\": \"quantitative\", \"field\": \"pr_comment_on_other_pr\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"pr_comment_on_own_pr\"}}, \"height\": 500, \"selection\": {\"selector001\": {\"type\": \"interval\", \"bind\": \"scales\", \"encodings\": [\"x\", \"y\"]}}, \"width\": 800}, {\"mark\": {\"type\": \"text\", \"align\": \"left\", \"baseline\": \"middle\", \"dx\": 6}, \"encoding\": {\"text\": {\"type\": \"nominal\", \"field\": \"author\"}, \"tooltip\": [{\"type\": \"nominal\", \"field\": \"author\"}], \"x\": {\"type\": \"quantitative\", \"field\": \"pr_comment_on_other_pr\"}, \"y\": {\"type\": \"quantitative\", \"field\": \"pr_comment_on_own_pr\"}}, \"height\": 500, \"width\": 800}], \"data\": {\"name\": \"data-c9436b7c85e43b1d44ea7918331344d5\"}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.8.1.json\", \"datasets\": {\"data-c9436b7c85e43b1d44ea7918331344d5\": [{\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 4.0, \"author\": \"012huang\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 92.0, \"author\": \"07arb\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 13.0, \"author\": \"0x0fff\"}, {\"pr_comment_on_other_pr\": 7.0, \"pr_comment_on_own_pr\": 200.0, \"author\": \"10110346\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 3.0, \"author\": \"19kka\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 7.0, \"author\": \"2ooom\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 11.0, \"author\": \"31z4\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 4.0, \"author\": \"351zyf\"}, {\"pr_comment_on_other_pr\": 0.0, \"pr_comment_on_own_pr\": 2.0, \"author\": \"397090770\"}, {\"pr_comment_on_other_pr\": 0.0, 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\"pr_comment_on_own_pr\": 18.0, \"author\": \"zzcclp\"}, {\"pr_comment_on_other_pr\": 1.0, \"pr_comment_on_own_pr\": 32.0, \"author\": \"zzvara\"}]}}, {\"mode\": \"vega-lite\"});\n",
"</script>"
],
"text/plain": [
"alt.LayerChart(...)"
]
},
"execution_count": 27,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"text = chart.mark_text(\n",
" align='left',\n",
" baseline='middle',\n",
" dx=6\n",
").encode(\n",
" text='author'\n",
")\n",
"\n",
"(chart + text).interactive()\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ASF commiters vs PMCS"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>apache_id</th>\n",
" </tr>\n",
" <tr>\n",
" <th>role</th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>committer</th>\n",
" <td>77</td>\n",
" </tr>\n",
" <tr>\n",
" <th>pmc</th>\n",
" <td>49</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" apache_id\n",
"role \n",
"committer 77\n",
"pmc 49"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"apache_people[[\"apache_id\"]].groupby(apache_people.role).count()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.4"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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