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@mprat
Created November 11, 2013 12:50
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{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import csv"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"f = open('30oysters.csv', 'rb')\n",
"reader = csv.reader(f)\n",
"rownum = 0\n",
"weight = []\n",
"vol = []\n",
"for row in reader:\n",
" if rownum == 0:\n",
" header = row\n",
" else:\n",
" r = map(float, row[0].split())\n",
" weight.append(r[1])\n",
" vol.append(r[2])\n",
" rownum += 1\n",
"f.close()"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure()\n",
"ax = fig.add_subplot(111)\n",
"ax.set_title('Oyster weight and volume')\n",
"ax.set_xlabel('Oyster weight (g)')\n",
"ax.set_ylabel('Oyster volume (cc)')\n",
"ax.scatter(weight, vol)\n",
"fig.savefig(\"oyster_with_titles.png\")"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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PFUr7gNHR0Wzfvh2Avn37MmzYsHzXmzJlivGxXq9Hr9eXQjohhCg/IiMjiYyMfKx9lHp3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\nQpicTCKjgZSUFAYNepXNm78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Dbty4QVRUFHB/XvcTJ04Yt9XpdDRs2JDz589z4cIFAL75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\nY1IEhBDCjEkREEIIM/b/HOWZXYQIf00AAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x2c56a50>"
]
}
],
"prompt_number": 3
}
],
"metadata": {}
}
]
}
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