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{"nbformat_minor": 0, "cells": [{"execution_count": 1, "cell_type": "code", "source": "import ujson as json\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport numpy as np\nimport plotly.plotly as py\nimport networkx as nx\nimport collections\n\n\nfrom moztelemetry import get_pings, get_pings_properties, get_one_ping_per_client\n\n%pylab inline\n\n", "outputs": [{"output_type": "stream", "name": "stdout", "text": "Populating the interactive namespace from numpy and matplotlib\n"}], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 2, "cell_type": "code", "source": "sc.defaultParallelism", "outputs": [{"execution_count": 2, "output_type": "execute_result", "data": {"text/plain": "48"}, "metadata": {}}], "metadata": {"collapsed": false, "trusted": true}}, {"source": "#Get pings, filter them, and do some basic checks", "cell_type": "markdown", "metadata": {}}, {"execution_count": 3, "cell_type": "code", "source": "pings = get_pings(sc, app=\"Firefox\",\n                  channel=\

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{"nbformat_minor": 0, "cells": [{"execution_count": 97, "cell_type": "code", "source": "import ujson as json\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport numpy as np\nimport plotly.plotly as py\nimport networkx as nx\nimport collections\nimport datetime\n\nfrom moztelemetry import get_pings, get_pings_properties, get_one_ping_per_client\n\n# %pylab inline\n\n", "outputs": [{"output_type": "stream", "name": "stdout", "text": "Populating the interactive namespace from numpy and matplotlib\n"}, {"output_type": "stream", "name": "stderr", "text": "WARNING: pylab import has clobbered these variables: ['info']\n`%matplotlib` prevents importing * from pylab and numpy\n"}], "metadata": {"collapsed": false, "trusted": true}}, {"execution_count": 2, "cell_type": "code", "source": "sc.defaultParallelism", "outputs": [{"execution_count": 2, "output_type": "execute_result", "data": {"text/plain": "64"}, "metadata": {}}], "metadata": {"collapsed": false, "trusted": true}}, {"source": "#Get pings, filter th

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{"nbformat_minor": 0, "cells": [{"execution_count": 1, "cell_type": "code", "source": "import ujson as json\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport numpy as np\nimport plotly.plotly as py\nimport networkx as nx\nimport collections\n\n\n\nfrom moztelemetry import get_pings, get_pings_properties, get_one_ping_per_client\n\n%pylab inline\n", "outputs": [{"output_type": "stream", "name": "stdout", "text": "Populating the interactive namespace from numpy and matplotlib\n"}], "metadata": {"collapsed": false, "trusted": false}}, {"execution_count": 2, "cell_type": "code", "source": "import boto\nconn = boto.connect_s3()", "outputs": [], "metadata": {"collapsed": true, "trusted": false}}, {"execution_count": 3, "cell_type": "code", "source": "numCores = sc.defaultParallelism\nnumCores", "outputs": [{"execution_count": 3, "output_type": "execute_result", "data": {"text/plain": "64"}, "metadata": {}}], "metadata": {"collapsed": false, "trusted": false}}, {"execution_count": 4, "cell_type": "code",

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{"nbformat_minor": 0, "cells": [{"execution_count": 36, "cell_type": "code", "source": "import ujson as json\nimport matplotlib.pyplot as plt\nimport pandas as pd\nimport numpy as np\nimport plotly.plotly as py\nimport networkx as nx\nimport collections\nimport datetime\n\nfrom moztelemetry import get_pings, get_pings_properties, get_one_ping_per_client\n\n%pylab inline\n\n", "outputs": [{"output_type": "stream", "name": "stdout", "text": "Populating the interactive namespace from numpy and matplotlib\n"}], "metadata": {"collapsed": false, "trusted": false}}, {"execution_count": null, "cell_type": "code", "source": "", "outputs": [], "metadata": {"collapsed": true, "trusted": false}}, {"execution_count": 2, "cell_type": "code", "source": "sc.defaultParallelism", "outputs": [{"execution_count": 2, "output_type": "execute_result", "data": {"text/plain": "64"}, "metadata": {}}], "metadata": {"collapsed": false, "trusted": false}}, {"source": "#Load the cleaned per-client info sections\n\nSee \"save per-client in

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