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@joshainglis
Last active August 29, 2015 14:01
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{
"metadata": {
"name": "",
"signature": "sha256:a6d906c337675d2212f52aa40bba8313ff6c73a6ca7c3508aecc8947e815bcaa"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"from __future__ import division\n",
"from pylab import *"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Simple Plotting"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Lets start with two lines.\n",
"\n",
"Our x axis will go from 0.1 to 10.0 in steps of 0.1"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x = arange(0.1, 10.1, 0.1)\n",
"y1 = log(x)**2\n",
"y2 = x - log(x)**2"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's have a peek at the `x` variable, just to get the feel."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"x"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 3,
"text": [
"array([ 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9,\n",
" 1. , 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8,\n",
" 1.9, 2. , 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7,\n",
" 2.8, 2.9, 3. , 3.1, 3.2, 3.3, 3.4, 3.5, 3.6,\n",
" 3.7, 3.8, 3.9, 4. , 4.1, 4.2, 4.3, 4.4, 4.5,\n",
" 4.6, 4.7, 4.8, 4.9, 5. , 5.1, 5.2, 5.3, 5.4,\n",
" 5.5, 5.6, 5.7, 5.8, 5.9, 6. , 6.1, 6.2, 6.3,\n",
" 6.4, 6.5, 6.6, 6.7, 6.8, 6.9, 7. , 7.1, 7.2,\n",
" 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8. , 8.1,\n",
" 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9, 9. ,\n",
" 9.1, 9.2, 9.3, 9.4, 9.5, 9.6, 9.7, 9.8, 9.9, 10. ])"
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Looks good! Now lets plot `y1`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot(x, y1)\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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xI927d7cdijUZGRlMmDCBGlF+2Mr27dtp3LgxI0aMoH379owePZri4mLbYVlR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\n",
"text": [
"<matplotlib.figure.Figure at 0x1058ca290>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Then `y2`"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot(x, y2)\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x105d86c50>"
]
}
],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we'll plot them together on the same axis"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"plot(x, y1)\n",
"plot(x, y2)\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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"text": [
"<matplotlib.figure.Figure at 0x105d983d0>"
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Alright, now lets make it a little more informative"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions\n",
"plot(x, y1)\n",
"plot(x, y2)\n",
"\n",
"# Add title and axis labels\n",
"title('Plotting two functions')\n",
"xlabel('A label for the x-axis')\n",
"ylabel('A label for the y-axis')\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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upl3kUrr63zuFvw4dre1a06ZBG9rYtVF/tmtDS9uWWFezfqTrRkWpT/7ffquu\nNDttGowfD489ZqQbE6KCM3qNID8/n+rVq+Pi4kJCQgItWrQgzkhrQPfs2RO9Xl/mz9/pIxBll1eQ\nR+T1yHsK+zs/X791nRa2LQwFfR+XPjzf8Xla27XGztrOqEss5OXdTeynT6vr/AQFgaen0S4hhChC\nsYmgU6dOXL9+ncmTJ+Pn50e1atUYO3ZsecRWrBYtID4ecnMffSPwiqxQX0hsZqyhkP9zoZ+YnUjT\nuk1pbdea1nat8XHw4e/t/k4buzY4PeZk8s1Rzp+HpUvV9v/27WH6dBg1Sv4+hShPpVprKDs7m+vX\nr9O0NPvwPYKSVG/c3WH9enlyBEi7mcaF1At32+7/+G/k9Uga1GpgeLJvbdeaVrataG3XGpd6LlSr\nUq1c47x5Ux3x8803cOWKOuZ/6lTQcPdTISoUozcN/dm8efPuGc5pDtzd1eahypII9Iqe2MxYw5j7\nO8MwI9IiuF14G7cGbrSxU9vtJ3pMpE0Dtd2+VrVaWodOaKha+P/4I3TpAm+8AcOGQbXyzUNCiL8o\nVY3Ax8eH0+W4G0xJsto//6k2I7z/fjkFVU4URSExO9GwfMK5a+cISwnjfMp56tWsR1v7trg3cFeH\nYjZww62BG41qNzK7pZFv3oR169QEEBenPvlPmwbNmmkdmRAVl0lrBOa4YrWbG+zYoXUUj6ZAX8CF\n1AucSjrFmeQznEk+w9mrZ6miq4JnI088G3rSs2lPnvN9jrb2balbs67WIRcrNFQd6rlmDXTrpibs\nwYNlvR8hzFGxNYLQ0FA8/2h3KSwspEqV8luxsSRZ7fffYcwYuHTJMsaWK4pCbGYsR+KPcCT+CMcS\nj3E2+SyONo74Ovri3cgbbwdvvBy8cKjjoHW4pXLzptpf8/XX6tP/tGnqq5y6lIQQfzD6WkM9e/Yk\nLy+Pp59+mieeeMKw3ER5KMnNKAo0aaJuNtKmTTkFVgqKohCWEsbBmIOGl4JCV+eudHXqSmenznRo\n3MEinvKLEhamFv6rV6tt/889py75IE//QmjDJDuUXbx4kRUrVrBhwwY6d+7M008/renm9X/13HPQ\nurXa+WgOruZcZeeVneyO3M3uK7upXb02/s386dWsF37N/HCt52p2bfmllZsLP/2kJoDLl9W2/2ee\nka1DhTAHJtuqsqCggM2bN/PKK69Qt25d9Ho9c+fOZcyYMWUOttjgSngzW7fC/PnqMgRauZR2iU3n\nN7ElYgsP14g5AAAeHklEQVThKeEENA9gQPMB9G/Rn+b1m2sXmJFdvqwW/t99B15e8PzzMGKEjPwR\nwpwYPRGcPXuWlStXsm3bNvr3788zzzxDhw4diImJYdCgQZw34WI/Jb2ZGzfAwUGdXFaOLVdczbnK\n2nNr+SH0B+Kz4hntNpqRbUbi7+JPjao1yi8QE8vPV5PtkiVw5oy61POzz8q4fyHMldETQe/evZk2\nbRp/+9vfqFXr3rHoq1atMtoqpA8MrhQ3M2SIOjFp3DiThQOobf7B0cF8efxL9kbtZXjr4TzZ/kn6\nuvYtdgVNSxMXp876XbZMncX9/PMwdqzM+hXC3JmsaUgLpbmZxYvh6FG1ycIU8gvz+f7375l3eB6K\nojCj8wyeav8UNjVsTHNBjej1sGsXfPUVhITAxIlqAvDw0DoyIURJVdpEEBMDnTpBUhIYc4Rrgb6A\n1b+vZvbB2TSt25R3/d6lr2tfi+/s/atr19TVPr/+GurXhxdeUFf8rFNH68iEEKVl0gll5qxZM2jU\nCI4fh65djXPOfVH7eCnwJRrWbsiyEcvwd/E3zonNhKLAr7+qT/9BQep6/+vWQceOljEnQwhhHCVO\nBLm5udQ088bhoUNh+/ZHTwTXblzjjV1vcDDmIAsHLWREmxEVqgaQmamu9rlkCRQWqsNvv/xSrQkI\nISqfYtcYPnbsGEOHDsXd3R2AM2fO8OKLL5o8sLIYNuzRN6nZdH4THos9aFynMWEvhjHSbWSFSQIn\nT94d6x8SAosWQXg4vPaaJAEhKrNi+wi8vLxYvXo1Tz31lGHBuXbt2hEWFmb64ErZzlVQAI0bw2+/\nQatWpbtWfmE+7+x9h43hG1k/bj2dnTqXMlrzdOOG2tyzZInaD/Dss+rkLwfLWr1CCFEKJtmhzONP\nQ0by8vK4detW2aIzsapVYcYMmDMHVq4s+eeSspN4fOPj1K5em5PPnsSulp3JYiwvf172oUcPmDUL\nBg40bke6EKJiKDYRtG7dmi1btgAQGxvLF198QadOnUweWFm9+qo60eny5ZJNeIrNjKXvd315wvMJ\nPvD/wOQ7cplSbq664cuSJRAZqS74dvq0LPomhHi4YpuGUlJSePXVV9m9ezeKojBw4EAWLlyInZ3p\nn5pLW72549//Vne+Km5OQUxGDH2+68PLnV9mZreZZYxSe+fPq+v9f/89+Pqq4/5lwxchKq9KO4/g\nzzIy1NrA4cNF9xVEXY+i76q+zOw6k1e6vPKIkZa/W7fUp/+lS9UluJ9+Wu0Ibl5xljUSQpSR0RNB\neno627Zt4/Dhw+Tm5housmLFikeLtCTBlTERgForuHwZVq26/8/SbqbRaWkn3uj2Bi91fukRoyxf\nv/+uLvnw44/qBLrp02H4cHn6F0LcZfTO4hkzZlC7dm369u1LtT9KG0sYTvnqq+r6OBcvqktU36FX\n9Dz181OMdhttMUkgMxPWrlUTQHKy+vR/8qRs9yiEMI5iawTlNVT0QR6lRgDw6aewaRPs3w81/lgM\ndPaB2eyK3MW+SfuoVsV8H6P1ejhwAFasUFf+DAhQn/7795eRP0KIhzN609Ds2bNxdHTkiSeeKPeZ\nxY+aCPR6dTXSxx5TC9Q9kbuZvHkyJ549gaONoxEjNZ47zVnff6/GPXUqPPEENGigdWRCCEthtERQ\np04dQxPQjRs3qFq1KjX+eKzW6XRkZWUZIdxignvERACQk6OOox8zOYklSgfWjF1jdmsGpabChg3w\nww9qIpg4ESZPVjd+sYBWOCGEmZFRQw8QHQ1t357G0L62bHj2k0cPzAiys9UmnzVr1OUehgxRn/wH\nDJCOXyHEoylt2Vns7KmAgIASvWfOrtc4jbXXdvZ9+B7LlqmrbmohM1Mt+MeMAWdn9efHH1d3Vvvx\nR3XRPEkCQojyVmQiuHXrFmlpaaSkpJCenm54XbhwgezsbKNc/ODBg3To0IH27dvzxRdfGOWcf6Uo\nCm/seoP/9PuAkN11WbAAnnxSfSIvD7Gx6kzfQYOgSRN1yYcRI9Raytataiyy5r8QQktFDh/9+uuv\nWbBgAYmJifj6+hret7Gx4ZVXHn0CVmFhIVOnTmXPnj04OTnRqVMn+vXrZ1jl1Fi2XtzK1RtXme47\nnapW6i5mr72mzsD98EP429+M+xSenQ2HDsGePeoa/9euqWv8TJum9gPYVKwNzYQQFUCxfQQLFy40\nSsH/V4cPH+bDDz9kx44dAHz88ccAvP3223eDe8Q+gtuFt/FY7MHCwQsZ1HLQPX8WGKgOL42IUHfj\nmjgRXF1L1zmr16uzek+dghMn1Lb+8HA1yfTtC4MHqz/LcE8hRHky+oQyUyQBgISEBJo0aWL43dnZ\nmaNHjxr1Gt+c/Ibm9ZvflwRA7ZwdMgRCQ+GLL6BXL7h9Gzp3Bm9vdbhm3brq6/Zt9Uk/KwuuXlUX\ndIuMVEf42NmphX2HDvDJJ9Cli2zuLoSwLJptVVnS2cmzZs0y/Ozv74+/v3+JPqcoCouOLWLZiGUP\nPc7TU12wDSAhQW06Cg1V2/AzMtQO3urV1SYdGxuwt1fnJrRoob5kQxchhNaCg4MJDg4u8+cf2jSk\nKArx8fH3PLkby5EjR5g1a5ahaWju3LlYWVnx1ltv3Q3uEZqGQmJCeHbbs4S/GG4RS2IIIYSxGH34\n6JAhQx4poKJ07NiRS5cuER0dze3bt1m3bh0jRoww2vmXnV7GMz7PSBIQQohiPDQR6HQ6unXrZtiY\nxpiqVq3KihUrGD16NL6+vkydOtVoI4YycjPYcmELk7wmGeV8QghRkRU7asjd3Z2IiAjs7Oxw+GOj\nW51Ox++//2764MrYNLT4+GKCo4NZP269CaISQgjzZvRRQ0FBQWU+uVaWnVrGx/0+1joMIYSwCMX2\nEbi4uJCRkcHWrVvZunUrmZmZuLi4lENoZXMy8STpt9Lp17yf1qEIIYRFKDYRLFiwgDFjxnDhwgXC\nw8MZM2YMCxcuLI/YymTZqWVM85lm0ZvQCyFEeSq2j6B58+aEhITg5OQEQGJiIj179iQyMtL0wZWy\nKapQX4j9J/acef4MTes2NWFkQghhvow+fFSn02FldfewP/9sbs4kn6FRnUaSBIQQohRKtGdxnz59\nGDBgAIqisGfPHpMtO/Go9kfvp49LH63DEEIIi1Jk01BUVBSurq4AXL9+naCgIHQ6HYMGDaJ+Oa2r\nUNrqzdAfhzLFawrj2o0zYVRCCGHejLZDma+vLydPniQgIIC9e/caLcDSKM3NFOgLsPufHZdfvox9\nbXsTRyaEEObLaPMI6tWrx6xZs4iIiOCzzz6756Q6nY7XX3/90SI1slNJp2hat6kkASGEKKUie35X\nrVqFra0thYWFZGdnk5OTY3gZa4cyY9ofJf0DQghRFsUOHw0MDDTZwnPFKU31ZtAPg3jO9zlGu482\ncVRCCGHejNZHYA5KejP5hfnY/c+O6NeisbW2LYfIhBDCfBl9HoElOJ54nBa2LSQJCCFEGVSIRCD9\nA0IIUXZFjhr66aefiqxe6HQ6xowZY9LASmN/9H5e6WKek9yEEMLcFZkItm7d+tDdvcwlEeQV5HE0\n4Si9mvXSOhQhhLBIRSaClStXlmMYZXcy6SStbFtRr2Y9rUMRQgiLVGwfQWpqKv/9738N+wmHh4ez\nfPlykwdWUhdSL+DZyFPrMIQQwmIVmwgmTpyIjY0N0dHRALRq1Yr58+ebOq4Su5R2iVa2rbQOQwgh\nLFaxiSA2NpYXX3yRKlWqAOqm87dv3zZ5YCV1KV0SgRBCPIpiE0G9evWIj483/L5p0ybs7c1nPZ9L\n6ZdoZSeJQAghyqrY/Qi+/PJLhgwZQkxMjGFZ6s2bN5s8sJJQFIXL6ZelRiCEEI+g2ERwZznqixcv\noigKbdq0oVq1auURW7ESsxOxqW6DTQ0brUMRQgiLVWwiyM3NZfv27ezYsQOAwYMHM3ToUGrUqGHy\n4IpzMe2iNAsJIcQjKjYRPPXUU+j1eiZMmADAjz/+yJo1a9iwYYPJgyuOdBQLIcSjKzYRnDhxggsX\nLhhqAMOHD8fNzc3kgZXEpbRLtLZrrXUYQghh0YodNdS3b18CAwMNvwcFBdGnj3ks8CY1AiGEeHRF\n1gg8PdXZunq9nm+//Za6desCkJmZaT41Ahk6KoQQj+yhi86Z0j/+8Q+2bduGtbU1vXr14sMPPzQk\nm5LQK3oir0fS0ralCaMUQoiKr8imIRcXl3tetWrVwsrKyvB6VAMGDCAsLIwTJ05w48YN5s6dW6rP\nx2XGYWdtR61qtR45FiGEqMyKLdH37t1LkyZNcHV1pUOHDri4uBhlD+P+/fsbksrAgQPvmb1cEjJ0\nVAghjKPYRDBv3jwOHTpEy5YtuXbtGj/88AO9ehl37f+lS5cycuTIUn1GOoqFEMI4ih0+mpycTNOm\nTalduzY3btxg4sSJzJ49u0Qn79+/P8nJyfe9/9FHHzF8+HAA5syZg42NDePGjXvgOWbNmmX42d/f\nH39/f0BWHRVCiDuCg4MJDg4u8+d1SjFb3ffr14+ff/6ZBQsWEBISgpOTExkZGWzatKnMF71j5cqV\nLF26lL1791KzZs37gytiq0yAYT8O45kOzzDKbdQjxyGEEBXJw8rOBx5fXCLIycnB2tqaKlWqEBwc\nTEJCAqNGjaJ27dqPFOiOHTt44403OHjwIHZ2dg8O7iE302ZRG35+/Gfa2rd9pDiEEKKiMXoiMJVW\nrVpx+/ZtbG1tAejWrRuLFy++N7gibqZAX0Cdj+qQ8XYGNaveX5MQQojKrLSJoMg+gjp16hS5eb1O\npyMrK6v00f3JpUuXyvzZmIwYHOo4SBIQQggjKDIR5OTklGccpSJDR4UQwngefWaYBmToqBBCGI9F\nJoIr6VdkaQkhhDASi0wEqbdSaVi7odZhCCFEhVDqRBASEsJLL71kilhK7Pqt69SvWV/TGIQQoqIo\ndmYxwKlTp1izZg3r16/H1dWVsWPHmjquh8rIzaBezXqaxiCEEBVFkYkgIiKCNWvWsG7dOuzt7Rk3\nbhyKojzSNGZjkUQghBDGU2QicHd3Z9iwYezcuZOmTZsC8Nlnn5VbYA9zPfc69a2laUgIIYyhyD6C\nTZs2GTaNef7559m7d2+pZqqZktQIhBDCeIpMBKNGjWLdunWcO3cOPz8/5s+fT0pKCi+88AK7du0q\nzxjvkVuQi17RY13VWrMYhBCiIinVWkPp6els3LiRtWvXsm/fPlPGBTx4vYzknGS8lnhx9c2rJr++\nEEJYIotZdK4kHnQzF1IvMHLtSCJmRGgUlRBCmLfSJgKLm1AmcwiEEMK4LC4RSEexEEIYl8UlAhk6\nKoQQxmVxiSAjN4N6NaRGIIQQxmKZiUCahoQQwmgsLhFcvyVNQ0IIYUwWlwikRiCEEMZlcYngeu51\nSQRCCGFEFpcIMnIzZB6BEEIYkUUmAqkRCCGE8VhcIpB5BEIIYVwWlwikRiCEEMZlUYlAr+jJzM2k\nbo26WocihBAVhkUlgpzbOVhXs6ZalWpahyKEEBWGRSUCaRYSQgjjs6hEIEtQCyGE8WmaCObNm4eV\nlRXp6eklOl5qBEIIYXyaJYK4uDh2795Ns2bNSvwZmVUshBDGp1kieP311/nf//5Xqs9k5GbIHAIh\nhDAyTRLBli1bcHZ2pn379qX6nOxFIIQQxlfVVCfu378/ycnJ970/Z84c5s6dy65duwzvlXSTZVmC\nWgghjM9kiWD37t0PfP/cuXNERUXh5eUFQHx8PL6+vhw7doyGDRved/ysWbPuftb6HH69/UwSrxBC\nWKrg4GCCg4PL/HmdUtLHcRNxdXXl5MmT2Nra3vdnOp3untrCpJ8n0de1L1O8p5RjhEIIYVn+WnYW\nR/N5BDqdrsTHyhLUQghhfCZrGiqpyMjIEh8r8wiEEML4NK8RlIYsQS2EEMZnUYlAagRCCGF8FpUI\nrt+SmcVCCGFsFpMI8gvzyS3Ixaa6jdahCCFEhWIxiSAzL5O6NeuWapSREEKI4llMIpBmISGEMA2L\nSQQyh0AIIUzDYhKBLEEthBCmYTGJQJagFkII07CoRCBLUAshhPFZTCKQzmIhhDANi0kE0jQkhBCm\nYTGJQDqLhRDCNCwmEcjwUSGEMA2LSgRSIxBCCOOzmEQgTUNCCGEaFpMIpLNYCCFMw2ISgQwfFUII\n07CYRPCu37vYWt+/wb0QQohHo1NKs9V9OdPpdJhxeEIIYZZKW3ZaTI1ACCGEaUgiEEKISk4SgRBC\nVHKSCIQQopKTRCCEEJWcJAIhhKjkJBEIIUQlJ4lACCEqOc0SwbfffkvHjh3x8PDgrbfe0ioMIYSo\n9DRJBPv37+fHH3/k8OHDnDt3jjfffFOLMCxKcHCw1iGYDfku7pLv4i75LspOk0Tw1Vdf8c4771Ct\nWjUA7O3ttQjDosg/8rvku7hLvou75LsoO00SwaVLlzh48CAdOnSgd+/enDp1SoswhBBCAFVNdeL+\n/fuTnJx83/tz5syhoKCAyMhIDh06xJ49e3jzzTfZt2+fqUIRQgjxEJqsPjp48GBefvllhgwZAoCj\noyORkZHUrFnz3uB0uvIOTQghKoTSFO0mqxE8zKhRowgMDGTw4MEcO3aMFi1a3JcEoHQ3IoQQomw0\nqREUFhby0ksvsX//fqpVq8aSJUvo2bNneYchhBACM9+YRgghhOmZ7cziO6OK2rdvzxdffKF1OJqJ\ni4ujT58+tGvXDn9/f1auXKl1SJoqLCzEx8eH4cOHax2K5m7cuMHkyZPx8fGhbdu2HDlyROuQNLN0\n6VK6d++Or68vr732mtbhlKupU6fSqFEjPD09De9lZ2czatQo2rdvz+jRo8nJyXn4SRQzVFBQoLRo\n0UKJiopSbt++rXh5eSnh4eFah6WJpKQk5fTp04qiKEpKSorSqFGjSvtdKIqizJs3T5k4caIyfPhw\nrUPR3KRJk5Tly5criqIo+fn5SkZGhsYRaSMtLU1xcXFRcnJylMLCQmXw4MHKjh07tA6r3Bw8eFA5\ndeqU4uHhYXjvH//4h/Lf//5XURRF+fjjj5W33nrroecwyxrBsWPHaNmyJS4uLlSrVo3x48ezZcsW\nrcPShIODA97e3gA0aNCATp06kZiYqHFU2oiPjycwMJBnnnmm0g8kyMzMJCQkhKlTpwJQtWpV6tat\nq3FU2rC2tkZRFDIzM7l16xY3b96kfv36WodVbvz8/O67319++YXJkycDMHnyZDZv3vzQc5hlIkhI\nSKBJkyaG352dnUlISNAwIvNw+fJlwsLC6Nq1q9ahaGLmzJl88sknWFmZ5T/bchUVFYW9vT1TpkzB\nw8OD6dOnc+vWLa3D0oS1tTVfffUVLi4uODg40KNHDzp37qx1WJq6evUqjRo1AqBRo0ZcvXr1oceb\n5f9RMn/gfjk5OYwfP5758+dTu3ZtrcMpd9u2baNhw4b4+PhU+toAQEFBAcePH2fs2LEcP36cvLw8\nNmzYoHVYmkhJSeGFF14gPDyc6OhoDh8+zPbt27UOy2zodLpiy1SzTAROTk7ExcUZfo+Li8PZ2VnD\niLSVn5/P2LFjefLJJxk5cqTW4Wjit99+45dffsHV1ZUJEyawb98+Jk2apHVYmnF2dsbOzo7hw4dj\nbW3NhAkTCAoK0josTRw7doyuXbvSsmVL7OzsGDduHAcPHtQ6LE01atTIsLJDUlISDRs2fOjxZpkI\nOnbsyKVLl4iOjub27dusW7eOESNGaB2WJhRFYdq0abRr167SjYb4s48++oi4uDiioqJYu3Ytffv2\nZdWqVVqHpRkHBwdatmzJ0aNH0ev1bN++nX79+mkdlib8/Pw4ceIE6enp5OXlERQUxIABA7QOS1Mj\nRozgu+++A+C7775j1KhRD/+AybqyH1FwcLDi7e2teHh4KAsWLNA6HM2EhIQoOp1O8fLyUry9vRVv\nb28lKChI67A0FRwcLKOGFEWJiIhQunTporRo0UIZNWqUkpOTo3VImvn222+VXr16KR07dlTee+89\npbCwUOuQys348eOVxo0bK9WrV1ecnZ2VFStWKFlZWcrIkSMVT09PZdSoUUp2dvZDzyETyoQQopIz\ny6YhIYQQ5UcSgRBCVHKSCIQQopKTRCCEEJWcJAIhhKjkJBEIIUQlJ4lAlLvNmzdjZWVFREREkcfU\nqVPnoeeIjo6+Z9ndkpgyZQo//fTTfe8nJCQQEBCAr68vUVFRpTrnHZ9//vk9a/0UF78Wpk+fzvnz\n57UOQ5ghSQSi3K1Zs4Zhw4axZs2aIo8xxXpTRa258tNPP+Hn58fJkydxdXUt9jyKoty33tGCBQu4\nefPmPdcyN0uXLsXd3V3rMIQZkkQgylVOTg5Hjx5l0aJFrFu3rkTH9+vXjw4dOjBkyBD27t1r+DO9\nXs+0adNwdXVl3Lhx5ObmAnDy5Em6du2Km5sbAwYMIDU11fCZvxbggYGBzJ07l2XLlhEQEADA/Pnz\nadGiBc2bN2fBggWAWgNxd3fn2WefpX379sTHxxvOsXDhQhITE+nTp4/hHACzZ8+mXbt2TJw4kfT0\ndEBdIG3UqFG0bdsWLy8vjh07dt89f/7550ybNg2A0NBQPD09Dff2Z7Nnz6Zz58506tSJ//znP4C6\nGF3nzp05cOAAAO+88w7/+te/APD39+fkyZMAvP322/j6+tK+fXs+//zzYv8eRAVn+gnQQtz1ww8/\nKM8995yiKIri5+ennDx58oHH1alTR1EUdZOirKwsRVEUJSYmRnF2dlYURVGioqIUnU6nbNq0ScnN\nzVXGjBmjbNy4Ubl9+7bi6empxMXFKYqiKF9++aXy8ccfK4qiKFOmTFE2btx437VmzZqlzJs3T1EU\nRUlPT1fatGmjJCYmKvHx8Yqrq6ty+vRpw/U2b978wHhdXFyUtLQ0w+86nU5ZtmyZoiiK8swzzyjf\nffedoiiKMmHCBMM5QkNDlSFDhtx3Lr1er/Tq1UvZtGmT0rFjR+W333574DXT09MN39Hw4cOVrVu3\nKoqiKGFhYYq7u7uye/duxcfHR8nPz1cURVH8/f2VkydPKleuXFH8/PwM56msG9qIu6pqnYhE5bJm\nzRpmzpwJwLhx41izZg0dOnQo8vgqVaqwYMECAgMDuXHjBunp6Vy7dg2AunXrMnr0aAAmTJjAjh07\ncHNzIyYmxrCVZWFhIS4uLsXGpfxRU7izYFnjxo0BGDx4MCEhIQwfPhw7O7sSr/5atWpVnnjiCQD6\n9u3LwYMHmTRpErt37+b8+fPMmjULgIyMDHJzc6lZs6bhszqdjpUrV+Lp6ckLL7xAt27dHniNEydO\nsGTJEi5cuEBmZiZhYWEMGzaMtm3b8uSTTzJ8+HCOHDlC1ar3/m/u7OxMeno6zz//PJMmTaJ79+4l\nuidRcUkiEOUmPT2d/fv3c+7cOXQ6HYWFheh0Oj755JMiPxMcHExISAg7d+6kdu3aNGzY8IHNJHco\nioKtrS2nT58uU4w6ne6e5iNFUQx9Cw4ODiU+T40aNQyFe7Vq1QwxK4rCli1baNq06UM/f/HiRWxs\nbO7ZkGnQoEFcvXqVTp068c033/Dyyy+zceNGPDw8mDlz5j3fS2hoKPXr13/ghiTVq1fnzJkzbNmy\nhQ8//BBvb2/++9//lvjeRMUjfQSi3GzcuJFJkyYRHR1NVFQUsbGxuLq6EhISUuRnEhIScHJywsbG\nhrVr1xra2kHdrnHz5s3k5eWxdu1aBg8eTJs2bQC1A1hRFPLz8wkPDy9xjIMGDWLPnj0kJyeTmJjI\nzp078fPzK3YzHBsbG0NN5WEGDhzIF198QV5eHgBnzpy575jMzExeffVVQkJCSEtLM4x02rFjB6dP\nn+abb74hNzeX7OxsXFxcSEhIYMuWLYYO6k2bNpGRkcGBAwd4+eWXyczMNJxbURTS0tK4efMmY8eO\nZdasWZw6darE34+omCQRiHKzdu1aQ1POHWPHjmXt2rX3HXunUBs1ahQZGRm4u7vz66+/0rZtW8Mx\nbm5u/PLLL7i5uaHT6Rg6dCjVqlVj8+bNfPbZZ7Rp0wYfHx8OHz5833mLul79+vV57rnn6N69Oz17\n9uTVV1/Fy8vroZ8FeOWVV5g0aZKhs/jPx/55tNLChQuJjY3F3d2ddu3a8c0339x3rtdff50ZM2bQ\nsmVLli9fzttvv31PhzdAzZo1efvtt+ncuTOPP/44Q4YMASAtLY133nmHZcuW0apVK2bMmHHPPhY6\nnY6EhAT69OmDj48P77//PrNnzy7yvkTlIMtQCyFEJSc1AiGEqOQkEQghRCUniUAIISo5SQRCCFHJ\nSSIQQohKThKBEEJUcpIIhBCikpNEIIQQldz/A210mdPerMHhAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x105d86e10>"
]
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So far so good! Now lets add a legend.\n",
"\n",
"In order to label our legend correctly, we need to specify labels for each of our lines."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add title and axis labels\n",
"title('Plotting two functions')\n",
"xlabel('A label for the x-axis')\n",
"ylabel('A label for the y-axis')\n",
"\n",
"# Add the legend to the plot\n",
"legend()\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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yLGsPnOVk+FnSbc6C001c27riZe+ORy1PPGuNwa2mG5XLygRWouTJMRHs2bOH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\nQABjxowBoHTp0lStWtXEUZlGhQoVUEq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"text": [
"<matplotlib.figure.Figure at 0x105d7be50>"
]
}
],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Soooooo... That's an irritating spot for a legend :/\n",
"\n",
"Lets move it, shall we?\n",
"\n",
"The `legend()` function allows us to specify a `loc`ation.\n",
"\n",
"The [available](http://matplotlib.org/1.3.1/users/legend_guide.html#legend-location) `loc`ations for the legend are:\n",
"```python\n",
"'upper right'\n",
"'upper left'\n",
"'lower left'\n",
"'lower right'\n",
"'right'\n",
"'center left'\n",
"'center right'\n",
"'lower center'\n",
"'upper center'\n",
"'center'\n",
"```\n",
"\n",
"So if I wanted the legend in the upper left of the plot, I would enter \n",
"```python \n",
"legend(loc='upper left')\n",
"```\n",
"\n",
"In this case, I want the legend to be in the lower right, so I'll enter\n",
"```python\n",
"legend(loc='lower right')\n",
"```"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add title and axis labels\n",
"title('Plotting two functions')\n",
"xlabel('A label for the x-axis')\n",
"ylabel('A label for the y-axis')\n",
"\n",
"# Add the legend to the plot (specifying location)\n",
"legend(loc='lower right')\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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KYUbscik5PZnrcde5FneN6/Hav48KfzPMcLN2o2ndpjS1bqr9bN0UVytXqlas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\nodjaAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x105d88f10>"
]
}
],
"prompt_number": 9
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Putting it all together"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from __future__ import division\n",
"from pylab import *\n",
"\n",
"# Define our lines\n",
"x = arange(0.1, 10.1, 0.1)\n",
"y1 = log(x)**2\n",
"y2 = x - log(x)**2\n",
"\n",
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - \\log(x)**2')\n",
"\n",
"# Add title and axis labels\n",
"title('Plotting two functions')\n",
"xlabel('A label for the x-axis')\n",
"ylabel('A label for the y-axis')\n",
"\n",
"# Add the legend to the plot (specifying location)\n",
"legend(loc='lower right')\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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ZscullIwUrsVf42r8Va4laP8+LPzNMMPN2o2mdZvS1Lqp9rN1U1ytXKlaseoT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\nSQeoaYmJc+0AAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x105db54d0>"
]
}
],
"prompt_number": 10
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"A bit more advanced"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"<span style=\"color:red\">IGNORE THIS SECTION UNLESS YOU'VE ALREADY FINISHED YOUR ASSIGNMENT</span>"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is potentially confusing. So don't bother with it unless you are have already completed your assignment and that legend's location is just really bothering you ;)"
]
},
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Legend outside the plot"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So we've encountered the `loc` argument. Before I introduce the next bit, we need to think a little bit deeper about how that works.\n",
"\n",
"When we say `loc='lower left'` we are implicitly saying **\"anchor the lower left corner of the legend box to the lower left corner of the plot\"**\n",
"\n",
"When we say `loc='center right'` we are implicitly saying **\"anchor the centre right of the legend box to the center right of the plot\"**\n",
"\n",
"______\n",
"So what if we want to anchor the **top left** of the legend to the **top right** of the plot?\n",
"______\n",
"Well, we need to _explicitly_ specify where we want to anchor our legend in relation to the plot\n",
"\n",
"To do this, we can add in a `bbox_to_anchor` argument to the `legend()` function. This tells it where to anchor the specified corner.\n",
"\n",
"But we will actually need to specify coordinates (rather than just naming a location).\n",
"\n",
"Coordinates are given in an `(x, y)` pair, with `(0, 0)` being the bottom left of the plot, and `(1, 1)` being the top right of the plot.\n",
"\n",
"Lets see a few examples"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's first anchor the **lower left** of our legend to the **lower left (0, 0)** of the plot. We'll start off implicitly as we have seen before.\n",
"\n",
"I'll remove the titles for the sake of brevity"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add the legend to the plot (specifying location)\n",
"legend(loc='lower left')\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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saPgH+CP5g2Sl2SmIEEJaorXZKdFoFmdnZ6SkpCAzMxN1dXU4fvw4pk6dKskh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\n",
"text": [
"<matplotlib.figure.Figure at 0x1058d1e50>"
]
}
],
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we'll do the same, but we'll explicitly tell it where to anchor\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add the legend to the plot (specifying anchor location)\n",
"legend(loc='lower left', bbox_to_anchor=(0, 0))\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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saPgH+CP5g2Sl2SmIEEJaorXZKdFoFmdnZ6SkpCAzMxN1dXU4fvw4pk6dKskh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\n",
"text": [
"<matplotlib.figure.Figure at 0x105db5810>"
]
}
],
"prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now let's anchor it somewhere else... We'll anchor the **lower left** of the legend to **lower center (0.5, 0)** of the plot"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add the legend to the plot (specifying anchor location)\n",
"legend(loc='lower left', bbox_to_anchor=(0.5, 0))\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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rGv4B/kh+P1lldgoihJCWaG12SjSaxcXFBSkpKcjMzERdXR1OnDiBqVOnSnLI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\nAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x1058d6fd0>"
]
}
],
"prompt_number": 13
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"How about anchoring the **lower right** of the legend to **lower center (0.5, 0)** of the plot"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add the legend to the plot (specifying anchor location)\n",
"legend(loc='lower right', bbox_to_anchor=(0.5, 0))\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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PyoyCn78fkj5IUpqdggghpDXamp1ijWZxcnJCcnIyMjIyUFdXhxMnTmDatGni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\nNIM7OWptAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x105da0d10>"
]
}
],
"prompt_number": 14
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Cool, so we can now move it around arbitrarily :)\n",
"\n",
"But what about getting it outside the plot?\n",
"\n",
"Well, let's try anchoring the **lower left** of the legend to the **lower right** of the plot"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add the legend to the plot (specifying anchor location)\n",
"legend(loc='lower left', bbox_to_anchor=(1, 0))\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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zx/v3G0totmoF06YZP2vqk4iIOItD4ZyUlERAQID9ur+/P5s2bXK4qF/7fNvn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\nqIbrYfjNN9/Qvn176tSpA8D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"text": [
"<matplotlib.figure.Figure at 0x105d8bbd0>"
]
}
],
"prompt_number": 15
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nice! Although, if you're feeling particuarly OCD we could take a little more off the `y` so it lines up better..."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add the legend to the plot (specifying anchor location)\n",
"legend(loc='lower left', bbox_to_anchor=(1, -0.03))\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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Na8f79hlbaLZtCzNmGF9r6ZOIiDhKvsI5KSmJgIAA+/f+/v5s2rQp30X93pfb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\n9u3bBxi992t7f/9+mP2P99+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"text": [
"<matplotlib.figure.Figure at 0x105da0850>"
]
}
],
"prompt_number": 16
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Cool :) So let's bump it up to the top! Anchor the **upper left** of the legend to the **upper right (1, 1)** of the plot"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - log(x)**2')\n",
"\n",
"# Add the legend to the plot (specifying anchor location)\n",
"legend(loc='upper left', bbox_to_anchor=(1, 1))\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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t0LJhS0zxnQLzAi/s3uCEHxYbo7gRMG4sMGIOYMFLionIwOh0QNjVq1fRu3dv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\nRESkMgxnIiIilfl/2CdTjNrpGWkAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x105d98b10>"
]
}
],
"prompt_number": 17
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"You now have complete positioning control of your legend! :D"
]
},
{
"cell_type": "heading",
"level": 1,
"metadata": {},
"source": [
"Putting it all back together again"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"from __future__ import division\n",
"from pylab import *\n",
"\n",
"# Define our lines\n",
"x = arange(0.1, 10.1, 0.1)\n",
"y1 = log(x)**2\n",
"y2 = x - log(x)**2\n",
"\n",
"# Plot the functions (with added labels)\n",
"plot(x, y1, label='log(x)**2')\n",
"plot(x, y2, label='x - \\log(x)**2')\n",
"\n",
"# Add title and axis labels\n",
"title('Plotting two functions')\n",
"xlabel('A label for the x-axis')\n",
"ylabel('A label for the y-axis')\n",
"\n",
"# Add the legend to the plot (specifying location)\n",
"legend(loc='upper left', bbox_to_anchor=(1, 1.025))\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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uf8SToHdw0LoSIQqP+/fV8e1//AE7d6qB3qsXfPIJVNVwojdFUQi+E4z/DX92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\n",
"text": [
"<matplotlib.figure.Figure at 0x1058d6850>"
]
}
],
"prompt_number": 18
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"_________\n",
"Have fun!\n",
"\n",
"Josha"
]
}
],
"metadata": {}
}
]
}
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