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@landon9720
Created February 11, 2016 19:13
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# IPython Notebook for visualizing an S3 bucket"
]
},
{
"cell_type": "code",
"execution_count": 96,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"from StringIO import StringIO\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 97,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"dir = ! aws s3 ls --recursive yourbucket | awk '{ print $1\",\"$3 }'"
]
},
{
"cell_type": "code",
"execution_count": 98,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"i = StringIO('\\n'.join(dir))\n",
"df = pd.read_csv(i, names=('file_date', 'file_bytes'), parse_dates=['file_date'])"
]
},
{
"cell_type": "code",
"execution_count": 99,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"grouped = df.groupby('file_date').sum()"
]
},
{
"cell_type": "code",
"execution_count": 100,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x11584ac10>"
]
},
"execution_count": 100,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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OuQUOn3PLdM4t+5KV6WTlQPIy3aLkZdoKnaOu0BHG6Rbh+7No5GU6eYHD59wy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\nkiRJkrRg/g8lwBLvsQvyWwAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x1013b0590>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"t = 'Bytes by Date'\n",
"grouped.plot.bar(figsize=(20,10), colormap='gray', title=t, logy=False)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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