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epifanio/epifanio1.ipynb

Created February 1, 2013 22:25
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epifanio1.ipynb
{
"metadata": {
"name": "Untitled2"
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"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import numpy as np\n",
"import numpy.lib.recfunctions as recfnc\n",
"my_data = np.genfromtxt('http://epi.whoi.edu/esr/samples.csv', delimiter=',', names=True)\n",
"my_data = recfnc.append_fields(my_data, 'index', np.zeros(my_data.shape), 'int', 0, False, True)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data = dict((int(i),my_data[np.where(my_data['xRefStation']==508)]) for i in np.unique(my_data['xRefStation']))"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"def counter(K):\n",
" count = 1\n",
" s = 0\n",
" result = []\n",
" for v in K:\n",
" if s+v <= 200:\n",
" s += v\n",
" else:\n",
" s = 0\n",
" count += 1\n",
" result.append(count)\n",
" return result"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 3
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"for i, d in data.iteritems():\n",
" d['index'] = counter(d['Dist2Next'])"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 4
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"data[508]"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 5,
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" dtype=[('ID', '<f8'), ('Event_ID', '<f8'), ('Dist2Next', '<f8'), ('xRefStation', '<f8'), ('xSampleNumber', '<f8'), ('subsample', '<f8'), ('index', '<i4')])"
]
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
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