pref analysis

pref analysis.ipynb

pref analysis.py

# coding: utf-8

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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')


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sc.defaultParallelism


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


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


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subset = get_one_ping_per_client(subset)


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subset.count()


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


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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/).

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