pref analysis

pref analysis.ipynb

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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: pylab import has clobbered these variables: ['Figure', 'Annotation']\n",
      "`%matplotlib` prevents importing * from pylab and numpy\n"
     ]
    }
   ],
   "source": [
    "import ujson as json\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import plotly.plotly as py\n",
    "from plotly.graph_objs import *\n",
    "\n",
    "from moztelemetry import get_pings, get_pings_properties, get_one_ping_per_client, get_clients_history, get_records\n",
    "\n",
    "%pylab inline"
   ]
  },
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   ],
   "source": [
    "sc.defaultParallelism"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "pings = get_pings(sc, app=\"Firefox\", channel=\"nightly\", submission_date=(\"20160323\", \"20160323\"), fraction=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "subset = get_pings_properties(pings, [\"clientId\",\n",
    "                                      \"environment/settings/userPrefs/layers.offmainthreadcomposition.enabled\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "subset = get_one_ping_per_client(subset)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 23,
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       "31354"
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     "execution_count": 23,
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   ],
   "source": [
    "subset.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "counts = subset.map(lambda p: p[\"environment/settings/userPrefs/layers.offmainthreadcomposition.enabled\"]).countByValue()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
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   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\"seamless=\"seamless\" src=\"https://plot.ly/~mozilla/412.embed\" height=\"525\" width=\"100%\"></iframe>"
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      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
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   "source": [
    "py.iplot({\n",
    "    'data': [{'labels': ['Off-main-thread composition enabled', 'Off-main-thread composition disabled', 'Other'],\n",
    "              'values': [counts[None], counts[False], sum(counts.values()) - counts[None] - counts[False]],\n",
    "              'type': 'pie'}],\n",
    "    'layout': {'title': 'Off-main-thread composition setting'}\n",
    "}, filename=\"pie-chart-plot\", validate=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The link might not show up on GitHub Gists, so here's a [direct link](https://plot.ly/412/~mozilla/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": []
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pref analysis.py

# coding: utf-8

# In[35]:

import ujson as json
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
import plotly.plotly as py
from plotly.graph_objs import *

from moztelemetry import get_pings, get_pings_properties, get_one_ping_per_client, get_clients_history, get_records

get_ipython().magic(u'pylab inline')


# In[2]:

sc.defaultParallelism


# In[20]:

pings = get_pings(sc, app="Firefox", channel="nightly", submission_date=("20160323", "20160323"), fraction=1)


# In[21]:

subset = get_pings_properties(pings, ["clientId",
                                      "environment/settings/userPrefs/layers.offmainthreadcomposition.enabled"])


# In[22]:

subset = get_one_ping_per_client(subset)


# In[23]:

subset.count()


# In[29]:

counts = subset.map(lambda p: p["environment/settings/userPrefs/layers.offmainthreadcomposition.enabled"]).countByValue()


# In[43]:

py.iplot({
    'data': [{'labels': ['Off-main-thread composition enabled', 'Off-main-thread composition disabled', 'Other'],
              'values': [counts[None], counts[False], sum(counts.values()) - counts[None] - counts[False]],
              'type': 'pie'}],
    'layout': {'title': 'Off-main-thread composition setting'}
}, filename="pie-chart-plot", validate=False)


# The link might not show up on GitHub Gists, so here's a [direct link](https://plot.ly/412/~mozilla/).

# In[ ]: