Formatting changes, and removal of some text
I am switching to the default look of Jupyter as much as possible. Altering the look is not really supported by Jupyter, so rending on GitHub (for example) is very different than when running in your own browser. I also got rid of the animations that really slow down execution of the notebook in favor of using a slider to display a step in a computation - the reader can see the plots 'animated' by moving the slider. It is much faster to compute, and actually gives them fine grained control to go forwards/backwards in time. I am also revising my coverage of statistics, and moving the details about Bayes and total conditional probability to the third chapter. I shouldn't be talking about probability distributions before covering that material.
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Roger Labbe committed
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"source": [
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"#format the book\n",
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" [ 15.0 22.0]]\n",
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"```\n",
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"\n",
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"This will only work is you are running Python 3.5 or later. So, as much as I prefer this notation to `np.dot(x, x)` I will not use it in this book."
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"This will only work if you are using Python 3.5+. So, as much as I prefer this notation to `np.dot(x, x)` I will not use it in this book."
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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
]
|
||||
@@ -944,7 +702,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
]
|
||||
|
||||
+68
-301
@@ -18,254 +18,12 @@
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<style>\n",
|
||||
"@import url('http://fonts.googleapis.com/css?family=Source+Code+Pro');\n",
|
||||
"@import url('http://fonts.googleapis.com/css?family=Lora');\n",
|
||||
"\n",
|
||||
".CodeMirror pre {\n",
|
||||
" font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
|
||||
"}\n",
|
||||
" div.cell{\n",
|
||||
" //width: 950px;\n",
|
||||
" margin-left: 0% !important;\n",
|
||||
" margin-right: auto;\n",
|
||||
" }\n",
|
||||
" div.text_cell_render{\n",
|
||||
" font-family: 'Lora';\n",
|
||||
" line-height: 125%;\n",
|
||||
" font-size: 100%;\n",
|
||||
" text-align: justify;\n",
|
||||
" text-justify:inter-word;\n",
|
||||
" }\n",
|
||||
" div.text_cell code {\n",
|
||||
" background: transparent;\n",
|
||||
" color: #000000;\n",
|
||||
" font-weight: 400;\n",
|
||||
" font-size: 11pt;\n",
|
||||
" font-family: 'Source Code Pro', Consolas, monocco, monospace;\n",
|
||||
" }\n",
|
||||
" h1 {\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
"\t}\n",
|
||||
"\n",
|
||||
" div.input_area {\n",
|
||||
" background: #F6F6F9;\n",
|
||||
" border: 1px solid #586e75;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .text_cell_render h1 {\n",
|
||||
" font-weight: 200;\n",
|
||||
" font-size: 30pt;\n",
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||||
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||||
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" font-weight: 200;\n",
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||||
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||||
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|
||||
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||||
" background-color: transparent;\n",
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
" padding-left: 0.5em;\n",
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||||
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|
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|
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" margin-bottom: 0.5em;\n",
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" color: #1d3b84;\n",
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" }\n",
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" color: rgb( 240, 20, 20 )\n",
|
||||
" }\n",
|
||||
" hr {\n",
|
||||
" color: #f3f3f3;\n",
|
||||
" background-color: #f3f3f3;\n",
|
||||
" height: 1px;\n",
|
||||
" }\n",
|
||||
" blockquote{\n",
|
||||
" display:block;\n",
|
||||
" background: #fcfcfc;\n",
|
||||
" border-left: 5px solid #c76c0c;\n",
|
||||
" font-family: 'Open sans',verdana,arial,sans-serif;\n",
|
||||
" width:680px;\n",
|
||||
" padding: 10px 10px 10px 10px;\n",
|
||||
" text-align:justify;\n",
|
||||
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|
||||
" }\n",
|
||||
" blockquote p {\n",
|
||||
" margin-bottom: 0;\n",
|
||||
" line-height: 125%;\n",
|
||||
" font-size: 100%;\n",
|
||||
" }\n",
|
||||
"</style>\n",
|
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"<script>\n",
|
||||
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"source": [
|
||||
"#format the book\n",
|
||||
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|
||||
"from __future__ import division, print_function\n",
|
||||
"from book_format import load_style\n",
|
||||
"load_style()"
|
||||
"import book_format"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -317,7 +75,9 @@
|
||||
"\n",
|
||||
"In mathematics this concept is formalized as [*expected value*](https://en.wikipedia.org/wiki/Expected_value), and we will cover it in depth later. For now ask yourself what would be the 'usual' thing to happen if we took one million readings. Some of the times both scales will read too low, sometimes both will read too high, and the rest of the time they will straddle the actual weight. If they straddle the actual weight then certainly we should choose a number between A and B. If they don't straddle then we don't know if they are both too high or low, but by choosing a number between A and B we at least mitigate the effect of the worst measurement. For example, suppose our actual weight is 180 lbs. 160 lbs is a big error. But if we choose a weight between 160 lbs and 170 lbs our estimate will be better than 160 lbs. The same argument holds if both scales returned a value greater than the actual weight.\n",
|
||||
"\n",
|
||||
"We will deal with this more formally later, but for now I hope it is clear that our best estimate is the average of A and B. $\\frac{160+170}{2} = 165$.\n",
|
||||
"We will deal with this more formally later, but for now I hope it is clear that our best estimate is the average of A and B. \n",
|
||||
"\n",
|
||||
"$$\\frac{160+170}{2} = 165$$\n",
|
||||
"\n",
|
||||
"We can look at this graphically. I have plotted the measurements of A and B with an assumed error of $\\pm$ 8 lbs. The measurements falls between 160 and 170 so the only weight that makes sense must lie within 160 and 170 lbs. "
|
||||
]
|
||||
@@ -331,7 +91,7 @@
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"outputs": [
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||||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAjwAAACICAYAAADjyzHQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAENpJREFUeJzt3X9s3PV9x/HXx3bOxHE4k8WgLElt1oQf2RoIv8Q0GLSQofWH0gWJlQkNoWrtqmVorcaPIMpYq0mMbkygStkPQVVSBoSB6A/oQOm2TkhLg0Ma09gk9rYLycUhdhPfYjvxOfZ3f9wFLo7t+/ruHX8/98nzIVk5f+97X7/10ufsdz7fz/d7LooiAQAAhKwu6QIAAADONhoeAAAQPBoeAAAQPBoeAAAQPBoeAAAQvIZqD5DL5bjMCwCAwKTTaZd0DZaY4QEAAMGj4QEAAMGr+pRWqXQ6bXk4AAAwh3K5XNIlnDXM8AAAgODR8AAAgODR8Hikp6dHPT09SZcRDPK0Q5a2yNMOWSIu0zU8qE7I506TQJ52yNIWedohS8RFw+ORFStWJF1CUMjTDlnaIk87ZIm4XBRVd9/A0hsPcpUWAAC1q3TGjBsPAgAA1BgaHo/09/erv78/6TKCQZ52yNIWedohS8TFGh6P7Nu3T5LU2tqacCVhIE87ZGmLPO2QJeKi4fHI4sWLky4hKORphyxtkacdskRcLFoGAACSWLQMAABQ02h4PJLP55XP55MuIxjkaYcsbZGnHbJEXDQ8Huns7FRnZ2fSZQSDPO2QpS3ytEOWiItFyx6ZN29e0iUEhTztkKUt8rRDloiLRcsAAEASi5YBAABqGg0PAAAIHg2PR7q6utTV1ZV0GcEgTztkaYs87ZAl4mLRskdGRkaSLiEo5GmHLG2Rpx2yRFwsWvbI8PCwJGnBggUJVxIG8rRDlrbI0w5Z2gp50TIzPB7hDWuLPO2QpS3ytEOWiIs1PAAAIHg0PB7JZrPKZrNJlxEM8rRDlrbI0w5ZIi4aHo/09fWpr68v6TKCQZ52yNIWedohS8TFGh6PLFmyJOkSgkKedsjSFnnaIUvExVVaAABAUthXaXFKCwAABI+GxyPDw8Mf3lMC1SNPO2RpizztkCXiouHxSHd3t7q7u5MuIxjkaYcsbZGnHbJEXCxa9khTU1PSJQTFizwfLa5rezQ3836e8yLLgJCnnWCyDOR3hc9oeDyyatWqpEsICnnaIUtb5GmHLBEXp7QAAEDwaHgAAEBV2h98LWp/8LWy97mJu9/ZwCktj+zatUuSdMUVVyRcSRjI0w5Z2iJPO2Q5N3bs2FHX3Nx8fyqVutw5N+1kSSaT2RzneHH3m40oiiby+Xz30NDQ41dfffXE5OdpeDwyNjaWdAlBIU87ZGmLPO2Q5dxobm6+f/ny5Xc0NTWd0UgU7JYktbe3Xz7zkeLuV5mRkZFP7N+/X5Iem/wcDY9HVq9enXQJQSFPO2RpizztkOXcSKVSl0/f7PijqalpIpVKTdlM0fB4JJVKJV1CUMjTDlka6tyi1E++IeUOSOll0i2PSKvvSLqqmsXYnBszncbyzXS10vAAwFzp3CL98F5p7Hjh+9z+wvcSTQ9wltHweCSTyUiS2tvbE60jFF7l+Z3PJF1BVU6cOCFJOu+88xKupMYdeFsaHz1929hx6fsbpB3fTaamGsfYPLc8++yzLXfffffH33nnnd1r1qw5MZvX0vB4ZGBgQJInf6ADQJ52Ti0M5Y9KlSY3O+W2oyzGpp++t23foqd+0rO0/9hoqnVhY/7eW1Zm77q+7Ui1x33hhRcWXXXVVUObN29etGbNmoOzeW0QDU/7g69JkjKP1fb/otva2pIuIShe5XnPa0lXUJUT/f2SpIWtrQlXUp3Ef1f83W8UTmNNll5e82MkKaGMzQ8/WiIA39u2b9E3f9TVNnpyok6SDh8bTX3zR11V/0LO5XJ1HR0dzVu3bt2zbt26FU888cS51/CEorXW37CeIU87ZGnklkdOX8MjSfPmF7ajIoxNv6z79luXdvX934Kx8ciVbh89OVH3lz/c3V7NsZ977rmWm2++Obd69erRlpaW8bfeeqvphhtuGIn7+ppZdQ0ANW/1HdLnnirM6MgV/v3cUyxYRlAmNzvltse1ZcuWRXfeeedRSbr99tuPbN68edFsXs8Mj0cGBwclSS0tLQlXEgbytEOWhlbfocGP/Y4k8rTA2PTL9zfcsOe6v9r6icPHRs+4X8CFCxvzU22P49ChQ/Xbtm07f+/evfM3bNig8fFx55yLNm3adKCuLt7cDTM8Hunt7VVvb2/SZQSDPO2QpS3ytEOW/rn3lpXZxoa6025S2NhQN3HvLSuzlR5z8+bNF6xfv/6XBw8efDebzb576NChzmXLluXffPPN5rjHoOHxSDqdVjodzsK1pJGnHbK0RZ52yNI/d13fduTrn12178KFjXmnwszO1z+7al81V2m99NJLv7J+/fqjpdvWrVt3dDantTil5ZGVK1cmXUJQyNMOWdoiTztk6ae7rm87YnEZ+inbt2/fM3nbww8/fHg2x6DhQZBe3ZnVt97Yo4ODx/WrLfN1322X6vNrliZdFgAEKXPeHxQf5Uz2OxtoeBCcV3dmtfGVd3V8bFySlB08ro2vvCtJND0AcI4KquH5/X/4r6RLqMqxY8ckSQsXLky4ktq28/1B5cdP/1Df42Pjuv9fOvX89vfntpgl/1r4l7GJEh0dHZKka665JuFKal8wWT469zMe5xoWLSM4k5udctsBAOELaobnxS//ZtIlwAO/9di/KTt4/IztS1vmM0bOcac+WiJpNT8b4RGyRFzM8CA49912qebPqz9t2/x59brvtksTqggAkLSgZngA6aOFyVylBQDhqK+vv3rlypXHoyhSfX199OSTT76/du3a4bivp+HxSE9PjyTuK2Hh82uW6tebC58pR57VY2zaIk87ZOmpt59epJ/+9VINHU6p+cK8bnogq2u/WNV9eRobGyfee++9Lkl6+eWXz3/ooYeWrV279oz780yHhscjuRyr9C2Rpx2ytEWedsjSQ28/vUhvbGzTydHCspmhD1J6Y2Ob5Y/I5XL16XT65GxeQ8PjkRUrViRdQlDI0w5Z2iJPO2TpmX/85KU69O4CTYyd/snoJ0fr9OMH2qs59OjoaN1ll122anR01A0MDMx7/fXX987m9TQ8HuHTfm2Rpx2ytEWedsjSQ5ObnXLbYyo9pbV169YF99xzz8V79+7dzaelAwCAufWlf9+j5ovyUz433fYK3HrrrcNHjx5t6Ovriz1xQ8Pjkf7+fvX39yddRjDI0w5Z2iJPO2TpoZseyKqh8fQ7vTY0TuimB7JWP2Lnzp3nTUxM6KKLLoq9jieIU1qZxz6TdAkm9u3bJ0lqbW1NuJIwkKedULL05XdFKHn6gCw9dOpqrKmu0nrtaxdXethTa3gkKYoibdq0KdPQEL+NCaLhCcXixYuTLiEo5GmHLG2Rpx2y9NS1XzxS7WXok42Pj++o5vU0PB5pb29PuoSgkKcdsrRFnnbIEnGxhgcAAASPhscj+Xxe+bzZIvZzHnnaIUtb5GmHLOdGFEUT5ffyw3S10vB4pLOzU52dnUmXEQzytEOWtsjTDlnOjXw+3z0yMuJ9zzAyMlKXz+e7p3qONTwemTdvXtIlBIU87ZClLfK0Q5ZzY2ho6PH9+/crlUpd7pw7o/Fpl66WpEwmM2WzMdv9KhFF0UQ+n+8eGhp6fKrnXRRFVf2AXC734QHS6XRVxwIAAMkp/WyydDpd1Z2RfeP99BQAAEC1aHgAAEDwaHg80tXVpa6urqTLCAZ52iFLW+RphywRF4uWPTIyMpJ0CUEhTztkaYs87ZAl4mLRskeGh4clSQsWLEi4kjCQpx2ytEWedsjSVsiLlpnh8QhvWFvkaYcsbZGnHbJEXKzhAQAAwaPh8Ug2m1U2m026jGCQpx2ytEWedsgScdHweKSvr099fX1JlxEM8rRDlrbI0w5ZIi7W8HhkyZIlSZcQFPK0Q5a2yNMOWSIurtICAACSwr5Ki1NaAAAgeDQ8HhkeHv7wnhKoHnnaIUtb5GmHLBEXDY9Huru71d3dnXQZwSBPO2RpizztkCXiYtGyR5qampIuISjkaYcsbZGnHbJEXCxaBgAAkli0DAAAUNNoeAAAQPBoeDyya9cu7dq1K+kygkGedsjSFnnaIUvExaJlj4yNjSVdQlDI0w5Z2iJPO2SJuFi07JF8Pi9JSqVSCVcSBvK0Q5a2yNMOWdoKedEyMzwe4Q1rizztkKUt8rRDloiLNTwAACB4NDweyWQyymQySZcRDPK0Q5a2yNMOWSIuGh6PDAwMaGBgIOkygkGedsjSFnnaIUvExRoej7S1tSVdQlDI0w5Z2iJPO2SJuLhKCwAASAr7Ki1OaQEAgODR8HhkcHBQg4ODSZcRDPK0Q5a2yNMOWSIuGh6P9Pb2qre3N+kygkGedsjSFnnaIUvExaJlj7AGyhZ52iFLW+RphywRF4uWAQCAJBYtAwAA1DQaHgAAEDwaHo90dHSoo6Mj6TKCQZ52yNIWedohS8RluoYHAACEgTU8AAAANYaGBwAABK/qU1oAAAC+Y4YHAAAEr2zD45x7xjl32Dn3i5Jtjzrnss65nxe/Pl3y3EbnXK9zbo9z7razVXitmk2ezrl259zxku1/n1zl/pkqy+L2Py2Ov93OucdLtjM2ZzCbPBmbM5vmff5iSV4Z59zPS55jbM5gNnkyNsubJs8rnXPbipl1OOeuK253zrmniuOz0zl3VXKVVymKohm/JP22pKsk/aJk26OS/nyKfVdJ2iWpUdLFkv5bUn25n3Eufc0yz/bS/fiKleUnJW2V1Fj8/sLiv4xN2zwZm7PMctLzfyvpkeJjxqZtnozNCvKU9Kak3y0+/rSk/yh5/GNJTtL1kn6WdP2VfpWd4Ymi6D8lHSmLine truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x144 with 1 Axes>"
|
||||
]
|
||||
@@ -379,7 +139,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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\n",
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x144 with 1 Axes>"
|
||||
]
|
||||
@@ -408,7 +168,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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\n",
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x144 with 1 Axes>"
|
||||
]
|
||||
@@ -443,7 +203,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Average of measurements is 165.0563\n"
|
||||
"Average of measurements is 165.0346\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -472,7 +232,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Average of measurements is 165.1012\n"
|
||||
"Average of measurements is 165.0955\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -501,7 +261,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x252 with 1 Axes>"
|
||||
]
|
||||
@@ -533,7 +293,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x180 with 1 Axes>"
|
||||
]
|
||||
@@ -560,7 +320,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x180 with 1 Axes>"
|
||||
]
|
||||
@@ -585,11 +345,13 @@
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 10,
|
||||
"metadata": {},
|
||||
"metadata": {
|
||||
"scrolled": true
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x180 with 1 Axes>"
|
||||
]
|
||||
@@ -618,7 +380,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x180 with 1 Axes>"
|
||||
]
|
||||
@@ -823,9 +585,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -834,6 +596,7 @@
|
||||
],
|
||||
"source": [
|
||||
"# plot results\n",
|
||||
"book_plots.set_figsize(10)\n",
|
||||
"gh.plot_gh_results(weights, estimates, predictions)"
|
||||
]
|
||||
},
|
||||
@@ -857,9 +620,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAqUAAAEDCAYAAAAMdX1cAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzs3Xl8FdX9//HXyb4QkkBYkgAJElaBsAQFlbrv4C4Fq0WLWrFaqxWt2hZsS0GtS/kqLq3YH2gVVASRRcUdlWogJEAiJEACWYCEkABJyHbP749JQgKBBMjM3Jl8no8HD3LPXfKZ971eD2fmnKO01gghhBBCCGEnH7sLEEIIIYQQQjqlQgghhBDCdtIpFUIIIYQQtpNOqRBCCCGEsJ10SoUQQgghhO387C7gZJSWlspSAUIIIYQQDhceHq6ObpORUiGEEEIIYTvplAohhBBCCNs56vR9Y+Hh4XaXIIQQQghhqdtuu40333zzmPa77rqL1157zYaKWq+0tPSE98tIqcmSk5NJTk62uwxXk4ytITmbTzK2huRsPsnYHOvWrePNN98kJCSE559/nrVr1/LBBx8QGBjIv/71L9LT0+0u8bRIp1QIIYQQwgFWrVoFwOTJkznvvPPw9fXluuuuY+LEiU3udyrHnr53iqSkJLtLcD3J2BqSs/kkY2tIzuaTjM2hlDFhvaampknGtbW1Te53KhkpFUIIIYRwgHHjxgEwf/58Fi5cSElJCQsWLGDhwoVN7ncqGSkVQgghhHCAoUOHctddd/Gvf/2r4ZR9vQceeIC+ffvaVFnbkJFSk2VmZpKZmWl3Ga4mGVtDcjafZGwNydl8krF5XnnlFebMmUNCQgJBQUEMHjyYl19+meeff97u0k6baSOlSql5wDhgr9Z6cF3bQqB/3UMigBKt9TCl1KXAbCAAqAKmaa0/N6s2K7W0/IE4fZKxNSRn80nG1pCczScZm8fHx4f777+fMWPGAO66ftfM0/f/AV4E5tc3aK1/Xv+zUupZoP5TWwSM11rnK6UGAx8DsSbWZpmEhAS7S3A9ydgakrP5JGNrSM7mk4zN58aMldbmbSevlIoHPqofKW3UroCdwEVa68xm7isCYrTWlY3vKy0tbShWFs8XQgghhHCOxiPo4eHhxywV4DtjxgzTfvmTTz4ZAdwyY8aMuUe1/ww4T2s9u5nn3AT00Fq/cfR9lZWVM+p/DgoKamjPzMxkx44dhISENLQXFhaSkZFBVVUVERERAFRVVZGSkkJhYSHdu3dveH56ejo5OTmEh4cTEBAAQF5eHlu3bkVrTceOHQEoKysjLS2NkpISunTp0vD81NRUcnNziYqKwtfXF4Ds7GyysrLw9/cnNDQUgJKSEjZt2kRZWRmdO3dueH5ycjL5+fnExMTIMckxyTHJMckxyTHJMckxufKYKiuPjDUGBQU9yVHsmn0/CXj76Eal1JnAU8BllldkkoMHDwI0eaNE2ysvL7e7hHbh8OHDdpfganIdnjX2799vdwmuV1hYSE1Njd1luFphYSHgrv6F5afvlVJ+QB4wUmud26i9B/A5cIfW+tvmXs+Jp+/rt1lz04XI3kYytobkbD7J2BqSs/kkY/M5MeOWTt/bMVJ6CfDTUR3SCGA58NjxOqROFRUVZXcJricZW0NyNp9kbA3J2XySsfncmLFpI6VKqbeBC4AoYA8wXWv9ulLqP8BarfUrjR77R+AxoPGkp8u01nsbv6YTR0qFEEIIIUTLI6Wmnr5va9IpFUIIIYRwppY6pbKjk8mqqqqoqqqyuwxXk4ytITmbTzK2huRsPqdl7PF4KCgo4NChQ3aX0mpOy7g1pFNqsrS0NNLS0uwuw9UkY2tIzuaTjK0hOZvPKRlrrXn55ZeJj48nJiaGiIgIbrzxRnbt2mV3aS1ySsYnw64lodoNf39/u0twPcnYGpKz+SRja0jO5nNKxs8++yzTpk0DICIiggMHDrB48WLWr19PSkpKw1qe3sgpGZ8MuaZUCCGEEG1Ca813333HihUrALj66qsZM2YMxmaN3qWsrIzY2FhKS0t5/fXXuf322ykoKGDcuHFs2LCBp59+uqHDKtqGTHQSQgghhOmqq6v5xS9+wbvvvtukfcKECbz55pteN7K3Zs0axo4dy5AhQ5qcBn/nnXeYNGkSV1xxBStXrrSxQveRiU5CCCGEMN0zzzzDu+++S1hYGA899BAPPvggHTp0YNGiRTz33HN2l3eMwMBAwNi6s7a2tqG9fsevxtuZC2vISKnJ0tPTARg0aJDNlbiXZGwNydl8krE1JGdzxMfHk5OTw/Lly4mPjwdg+/btjB8/nt69e7N9+3Z7CzxKbW0tCQkJZGdnM2XKFH73u9+xZcsW7r33Xvbu3cuCBQu49dZb7S7zuJz4OfbGHZ3aFdmT3XySsTUkZ/NJxtaQnM1RP2P9oosuYtOmTQ0/A+zcudO2uo7H19eXuXPncu211/L666/z+uuvN9x36aWXMnHiRBura5kbP8fSKTXZwIED7S7B9SRja0jO5pOMrSE5m6Nfv3789NNPvPfee1x//fUAvPfeewAMGDDAztKO68orr+S7777j2Wef5YcffiAyMpJbb72VqVOn4ufn3V0kN36O5fS9EEIIIU7byy+/zL333ouvry/XXXcdWmuWLl1KbW0tr7zyCr/+9a/tLlHYTGbfCyGEEMJ0WmumTZvGc889R33fwsfHh4ceeoinn37aK5eFEtaSTqnN8vLyAIiNjbW5EveSjK0hOZtPMraG5GyunJwc3nnnHQAmTpxIXFyczRW5kxM/xzLRyWYFBQWAsz40TiMZW0NyNp9kbA3J2VxxcXFcfPHFDT8Lc7jxcyydUpNFR0fbXYLrScbWkJzNJxlbQ3I2n2RsPjdmLKfvhRBCCCGE6WRHJyGEEEII4fWkU2qysrIyysrK7C7D1SRja0jO5pOMrSE5m08yNp8bMzatU6qUmqeU2quU2tSobaFSakPdn2yl1IZG9z2mlMpSSm1RSl1uVl1Wy8jIICMjw+4yXE0ytobkbD7J2BqSs/kkY/O5MWMzJzr9B3gRmF/foLX+ef3PSqlngdK6nwcBE4EzgRhgtVKqn9a61sT6LBESEmJ3Ca4nGVtDcjafZGwNydl8krH53Jix74wZM0x54RkzZuQ8+eSTgcAtM2bMmNv4PmWsoPtvYNqMGTOKn3zyyTuBTVrrL2fMmFHy5JNPXg1kzpgxI7fx8yorKxuKDQoKamjPzMxkx44dhISENLQXFhaSkZFBVVUVERERAFRVVZGSkkJhYSHdu3dveH56ejo5OTmEh4cTEBAAGOt/bd26Fa01HTt2BIyh8rS0NEpKSujSpUvD81NTU8nNzSUqKgpfX18AsrOzycrKIiYmhvj4eABKSkrYtGkTZWVldO7cueH5ycnJ5OfnExMT44hj8vf3JzQ01GuOaf/+/URFRbnqmLzxfSoqKiI8PNxVx+Rt75O/vz979uxx1TF54/sUEhJCQUGBq47J296nLl26EB4e7qpj8rb3acCAAQ2v4ZRjqqysbLg/KCjoSY5i1zWlY4E9WuvMutuxwK5G9+fWtQkhhBBCiHbA1CWhlFLxwEda68FHtb8MZGmtn627/RLwvdb6zbrbrwMrtNbvN36eLAklhBDe4eDBgyxYsIC1a9cSHh7OLbfcwpgxY+wuSwjhxbxuRyellB9wAzCyUXMu0LPR7R5AvpV1mSU1NRWAxMREmytxL8nYGpKz+ZyS8bZt27jooovYuXNnQ9uLL77I73//e5555hmv3+PcKTk7mWRsPjdmbMfp+0uAn7TWja8X/RCYqJQKVEr1BvoCP9hQW5urrq6murra7jJcTTK2huRsPqdkPGXKFHbu3EliYiIvv/wy06ZNIyAggGeffZaPP/7Y7vJa5JScnUwyNp8bMzbt9L1S6m3gAiAK2ANM11q/rpT6D7BWa/3KUY9/AvgVUAP8Tmu98ujXdOLp+6qqKoCGi4RF25OMrSE5m88JGW/fvp0+ffrQoUMHdu7cSWRkJAAzZ87kj3/8IzfffDOLFi2yucoTc0LOTicZm8+JGdt2+l5rPek47bcfp30mMNOseuzipA+LU0nG1pCczeeEjPfu3QtAQkJCQ4cUYNSoUQDs2bPHlrpOhhNydjrJ2HxuzFh2dBJCCNFq/fr1IzAwkNTUVH788UcAPB4P8+bNA9x1fZsQwlrSKTVZdnY22dnZdpfhapKxNSRn8zkh406dOjFlyhS01px77rlcddVVDBo0iIULFxIUFMRvfvMbu0tskRNydjrJ2HxuzFg6pSYrKiqiqKjI7jJcTTK2huRsPqdk/Nxzz3H77bdTU1PDypUr2bJlC9HR0SxZsoT+/fvbXV6LnJKzk0nG5lqSksdN8zO48JXNnDv7c5ak5NldUpswdZ3StubEiU6FhYUATXY5EG1LMraG5Gw+p2Wck5PDjz/+SEREBOeffz7+/v52l9QqTsvZiSRj8yxJyeOxxRupqD6yE3uwvy+zbhjCdcO9e9+hliY6SadUCCGEEMIhzp39GXklh49pj40I5ts/XGRDRa3ndYvnCyGEEEKIk7PnwGGWpOQ12yEFyC+psLiitiedUpOVlJQAEBERYXMl7iUZW0NyNp9kbA3J2XyScduoqKrlk/TdvL8+jzWZhXg0+PsqqmuPPcsdExFsQ4VtSzqlJsvKygIgKSnJ5krcSzK2huRsPsnYGpKz+STjU+fxaH7ILub9dbms3LSbQ5U1xEYE85sLE7hhRA9Sd5U0e03ptMu9f5JhS6RTajK59tV8krE1JGfzScbWkJzNJxmfvB1FZSxen8vi9XnklVQQGuDLVUOiuXFkD86K74SPj3EJZu+oUAD+/tEmCstqiIkIZtrl/b1+klNryEQnIYQQQggblJRX8VFaAYvX57J+Zwk+Cs7r24UbR8Ry2aDuBAf42l1im5KJTkIIIYQQXqK61sNLine truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -902,9 +665,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1128,9 +891,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAaMAAAD1CAYAAAD9NZqqAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzs3Xdc1dX/wPHX4V6QIaCIioqIJG5w4dYcKY7Mvff4Za5yZLa/WmZWmlmZmSs1t+aeqLlyASqIA0VNARUUUBSQde/5/QHewFQQgcs4z8ejR/eez+dzPu8P4H3f8/mcIaSUKIqiKIoxmRg7AEVRFEVRyUhRFEUxOpWMFEVRFKNTyUhRFEUxOpWMFEVRFKPTGuOk0dHRqgufoihKAWdraysyu69qGSmKoihGp5KRoiiKYnRGuU2Xlq2trbFDyDW+vr4AeHh4GDmS3KeuvfBde2G9bijc1x4dHZ2l41TLSFEURTE6lYwURVEUo1PJSFEURTE6lYwURVEUo1PJSFEURTE6o/emUxRFUbJHSEgIq1atIjw8nFq1atG7d28sLS2NHVamqGSkKIpSACxfvpy3336bpKQkQ9n//vc/vLy8qFq1qhEjyxx1m05RFCWfu3LlCiNGjCApKYkePXowc+ZM3NzcCAkJoXfv3uSHRVRVMlIURcnnfv/9d3Q6HYMGDWLiNwsY/d77nDhxAgcHBwICAjh16pSxQ8yQSkaKoij5XEhICJhoSa7RiQGLT/HzX0FYWVnRoEGDf7fnceqZkaIoSj5XtrI7DgPqcvy+Ff0alOd9zyqEh4dz6NAhgHzxzEglI0VRlHxsm/9tdia7YVriEfe2zGT3nhjCd9Rl+/btPHz4kFatWuHm5mbsMDOkkpGiKEo+FJeYzNStF9hwOpR6FYrTp6Ep41Zdwf/ePfz9/QFo3Lgxa9asMXKkmaOSkaIoSj5z4XY07645yz8RsYxrVYkJbVzRakzoHBzMzp07DeOMmjRpghCZXt/OqDJMRkKIpUAn4K6UsmZq2TqgSuouxYAHUsraQoi2wDeAGZAIfCCl/CtHIlcURSlkpJQsP36Dr3cFUszSlFUjGtKkkr1hu7m5OT169DBihFmXmZbRMmAesOJJgZSyz5PXQojvgScLWEQAb0kpbwshagJ7gXLZFq2iKEohdT82kQ82nmP/pXBaVy3FrJ7ulChaxNhhZRuRmcFQQghnYMeTllGacgEEA62llEHP2BYBlJVSJqTdFh0dbThpUFC6wxRFUZSnXLiXyI/e0TyM1zPQvShvVrJ85u23xMREHj9+bNRFS11dXQ2vbW1tM32P8FXHGTUHwp9ORKl6AGefTkSKoihK5uj0knUXYvji8H2KaARft7ajk6vVMxPR8ePH6dKlC/PmzTNCpK/uVTsw9AP+01VDCFED+BbwzKiCwrQsb2Feilhde+G79sJ63ZA91377wWPGrz2Lz41YetR15IsuNShaJP1Htl6vx8QkpU1hbW3NhAkTuH37NnXq1EGj0WT9Al5BVpcdz3IyEkJoge5AvafKHYHNwGAp5bWs1q8oilJY7Tkfxod/niNZp+eHPrXoVscx3faQkBA+/fRT4uPjWb9+PQBVqlTB19eXOnXq5JsedGm9SsuoDRAopQx9UiCEKAbsBD6WUh571eAURVEKk/gkHV/tvMjKk8G4lbPl5351cLa3+s9+ZmZmrF+/Hr1eT1hYGA4ODgDUrVs3t0PONhk+MxJCrAFOAFWEEKFCiBGpm/ry31t044BKwOdCCL/U/0pla8SKoigFUFD4I7r+coyVJ4N5u3lF/hzdBGd7K5KTk1m/fj3vvPOOYd/SpUuzfPlyLl++bEhE+V2GLSMpZb/nlA99RtlXwFevHpaiKErhIKVkrU8IX2y/gJWZlt+H1adVlX+/wyckJDB69GiioqIYPHgwTZs2BaBPnz7PqzJfUjMwKIqiZLPIyEiklEgpX/j8JvpxEp9sCmBnwB2aVbJnTu9aiIRHfP/990yYMAGNRoOVlRXTp0/HxMQkX9+Gy4hKRoqiKNnkyJEjTJ48GR8fHwBq167Nt99+i6fnfzsWn755n/Frz3InOp4p7asw6vXXEAJqNq7HxYsXqVixIt27dwdgzJgxuXodxqDWM1IURckGPj4+tG3bFh8fHywsLLC0tMTPz4+OHTty+PBhw356veSXg1fp/dsJAL58vRjDGpbDxEQghGD06NF06tSJChUqGOtSjEIlI0VRChSdTsfu3bv56quvWLBgAREREbly3unTp5OYmMiQIUPw8vJi3759jBkzBp1Ox7Rp0wC4+zCeQUtPMWvvZdrXdKBGyDYGdmjKihWG2dYYO3Ys27dvp169es85U8GkkpGiKAXGnTt3qF+/Ph07duTzzz9n9OjRlC9fPleWUTh48CAAX3/9Nebm5piZmTFz5kwADh8+zIGLYbT/8Qinb9zn2x5uzOtXh9bNG2NjY0N8fLyhnvw4Rig7qGSkKEqBMXjwYM6ePUu5cuWYNGkSnp6exMfHM2jQIC5dupSj5zY3NwdI1xKLjIwEjZYSbUYyYsVpIkOv01EbQJ/6Tggh6NGjByEhIYwfPz5HY8sPVDJSFKVAuHLlCvv376do0aKcOXOG77//nr179zJkyBB0Oh0LFy7M0fP37NkTgGHDhuHr68vZs2fpPWIsDgNnY1X3LVqX1xK85D38juwxHKPVarGxscnRuPILlYwURSkQrl+/DkCDBg0oVerfcTpvvvlmuu05ZerUqVSsWJEzZ84wevRoJv64hvBawzArXoav2juxZIwnhw7s48CBAzkaR36lunYrilIgVKxYEQBvb2/u3r1rSEi7du0CwMXFJUfP7+DgwKlTp/huzk+suwYmLo1ICL3Apg8607hWVQBatGiRozHkZyoZKYpSIFSpUoU33niDAwcOUK9ePfr06UNAQABeXl5oNBpGjhyZI+fV6XRs3ryZgIAAerw9ER+71mhlHNXkTX6Y2p3KrpVy5LwFjUpGiqIUGH/88QcdO3bEz8+P77//HkjpWLBkyRKqVauWI+cMDw+nf/8BWNbpxKqkY5S0Nmdai+JUL1laJaKXoJKRoigFRpkyZfD19cXLywtfX1/s7e3p1asX9vb22XaOiIgItm3bxvDhwwEwtS6Bx/tLuS2L0bKyPbN71+HqxXPZdr7CQiUjRVEKFI1GQ4cOHejQoUO2152cnIy7uzt37tyhZs2aPC5WkffX+/FIY8dXnaozoKFToR0n9KpUMlIURXkBf39/3NzcMDExQavVMnjwYPwDzrP64mO2BHpTuXRRVv1fI6o4WBs71HxNde1WFEV5jsGDB1O7dm12795tKHt70qdo23/ElsAYBjZyYtu4ZioRZQOVjBRFUVIlJSWRlJRkeF+rVi2sra25desWAJvOhNJ53jGCo+JYMLAeX3V1w9xUY6xwCxSVjBRFUYDVq1fj4uLCH3/8YSgbNWoUwcHB9B8ynInr/Ji03p8aZW3ZPb457WsWjBVW84rMLDu+VAhxVwhxPk3ZujTLit8QQvil2faxEOKqEOKyEKJdTgWuKIqSnXQ6HaGhoezYscNQZmVlxc1H8OZPR9nqd4uJbSqzZmQjyhazMGKkBVNmOjAsA+YBhjnOpZSG9W6FEN8D0amvqwN9gRpAWWC/EKKylFKXjTEriqK8kmvXrjFz5kyqV6/OpEmTAOjbty8lSpSgffv2QMq6Q4uOXmfW3suUsi7CuncaU9/ZzphhF2gZJiMp5REhhPOztomUPoy9gdapRV2AtVLKBOAfIcRVoAFwIluiVRRFyQbXrl1jyZIllCtXjvHjx6PRaDA1NaVjx44A3H0Uz/vr/TkaFEGHmg58090dW0tTI0ddsAkpZcY7pSSjHVLKmk+Vvw7MkVJ6pL6fB5yUUq5Mfb8E2C2l3Jj2uOjoaMNJg4KCXvESFEVRnk+n03HkyBEiIiLo1asXAFJKFi9eTLt27XByckq3/9mwBOb5PORxkp5hta1pU9FCjR16Ca6urobXtra2mf7Bveo4o35A2lWrnnXijLOdohRg8fHxaLVatFo1rM8Yrl+/zpQpU7C0tKRdu3bY2NgghODtt99Ot1+STrL6fAzbg+JwstEy7fXilLdVv7PckuWftBBCC3QH0q6NGwqUT/PeEbj9ono8PDyyGkK+4+vrCxSua36iMF77mjVrmDFjBhcuXKBIkSL079+fmTNnUrp0aWOHliuM9TuPioriyJEjdO3a1XD+ffv2UadOHRo1aoSlpeV/jrl+L4b31p7l/K04BjWqwKdvVnulLtuF8e/9iejo6Cwd9yppvw0QKKUMTVO2DVgthJhDSgcGV8D7Fc6hKPnSb7/9xqhRo4CUBdQSEhL4/fffOX78OD4+Plhb584gSb1eopcSraZwjOJ49OgRLi4uxMTEcO3aNSpUqADA0qVLn7m/lJJNZ27x+dbzmGlN+G1QPdrVUF22jSEzXbvXkNIBoYoQIlQIMSJ1U1/S36JDSnkBWA9cBPYAY1VPOqWwiY+P59NPPwVg9uzZHD16lI0bN1KtWjUuX77MkiVLciWO87ei6fjTUZp/dxCvC2G5ck5juHr1quG1tbU1nTp14o033iAuLu6Fxz2KT2LiOj/e3+CPW7mUsUMqERlPhslIStlPSllGSmkqpXSUUi5JLR8qpVzwjP1nSClfk1JWkVLu/m+NilKwnT17lsjISKpWrcqkSZPQarVUqFDBkKC8vLxy9PyJyXrmeF2myy/HiIpNxNpcy8g/TjNyhS93oh/n6Llzk5SSHj164OrqytmzZw3lv//+O3v37n3hkhF+IQ9486e/2eZ/m0ltK7P67UaUsVVjh4xJPZ1TlGym0aQ8a4iPjydtb9X4+Ph023PChdvRvL/en8CwR3SvW46pnWpgWUTDoqPX+XF/EG3nHGGyZ2UGNXZGY5L/eoglJSWh1WoRQiCEwMnJCSsrKy5evEidOnUAMDVLine truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1227,9 +990,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1262,9 +1025,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1312,9 +1075,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1371,9 +1134,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1432,9 +1195,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAacAAAD1CAYAAAD03jrQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzs3Xd8FNX6+PHPSa+kAAkhAWmhSMdQBKWKFJGodJByVeAiIFjBchW8+BPsBeWKgBSlqEgVlSKItEBooRNCDYQQSpYUQsqe3x+75BswgQ1smE143q/XvnbmzNnZJ5vJPjkzZ85RWmuEEEIIR+JkdABCCCHEjSQ5CSGEcDiSnIQQQjgcSU5CCCEcjiQnIYQQDsfFiDc1mUzSRVAIIUowPz8/dSevl5aTEEIIhyPJSQghhMMx5LReXn5+fkaHUCjR0dEAREREGBxJ4Unsd19xjRskdqMU59hNJpPd9iUtJyGEEA5HkpMQQgiHI8lJCCGEw5HkJIQQwuFIchJCCOFwJDkJIcQ9asWKFbRv356QkBAaNWrE5MmTyc7ONjoswAG6kgshhLj7vv76a4YPH567fvbsWUaOHMnGjRuZO3cuSt3RAA93TFpOQghxjzGZTLz66qsAvPvuuxw/fpz58+fj6+vL/PnzWbt2rcERSnISQoh7zqpVq0hPT+fhhx/mP//5D/fddx+9evXihRdeAGDx4sUGRyjJSQgh7jlZWVkAeHt7X1fu4+MDQGZm5l2P6UaSnIQQ4h7TqlUrXFxcWLlyJQsXLkRrTUxMDF9++SUA7du3NzhCSU5CCHHPKV++PKNHj8ZsNtO9e3d8fHyoX78+Z86c4cEHHyQyMtLoECU5CSHEvWjSpEl89NFHhIaGkp6ejre3N88//zy///47Li7Gd+Q2PgIhhBB3nZOTEy+//DIvvvgiJpMJHx8fXF1djQ4r1y1bTkqpGkqpXXkel5VSo5VSgUqpVUqpWOtzgLW+Ukp9oZQ6opSKUUo1KvofQwghxO1wcnIiICDAoRIT2JCctNaHtNYNtNYNgAeAdGARMBZYo7UOB9ZY1wE6AeHWxxBgSlEELoQQouQq7DWndkCc1voEEAnMspbPAp6wLkcCs7XFFsBfKRVil2iFEELcE5TW2vbKSs0AdmitJyulkrXW/nm2XdJaByillgMTtdYbrOVrgDFa6+hrdU0mU+6bxsbG2uPnEEIIYbDw8PDcZT8/vzsa/8jmlpNSyg3oCvx0q6r5lNmeAYUQQtzzCtNbrxOWVlOidT1RKRWitU6wnrY7Zy2PByrkeV0YcKagnUZERBQmXsNFR1sagMUtbpDYjVBc4waJ3SjFOXaTyWS3fRXmmlMfYF6e9aXAQOvyQGBJnvIB1l57zQCT1jrhjiMVQghxz7Cp5aSU8gLaA0PzFE8EflRKPQucBHpYy1cAnYEjWHr2/ctu0QohhLgn2JSctNbpQOkbyi5g6b13Y10NDL+xXAghhLCVDF8khBDC4UhyEkKIYsZsNnPq1CkuXLhgdChFRpKTEEIUI7NmzaJatWpUrFiRMmXK8Mgjj7Bv3z6jw7I7SU5CCFFMfPfddwwaNIhjx44RGBiIu7s7a9asoWXLlpw8edLo8OxKkpMQQhQDOTk5vPPOOwB89NFHnDt3joSEBNq1a8fFixf57LPPDI7QviQ5CSFEMXD06FFOnTpFuXLlePHFF3F2diYgIIC33noLgHXr1hkboJ1JchJCiGLA09MTgLS0NK5cuZJbfv78+eu2lxSSnIQQohgICwujadOmpKSk0K9fP7Zu3cqSJUt4+eWXAejevbvBEdqXzIQrhBDFxJdffknbtm1ZsmQJS5YsyS1v1qwZQ4cOvckrix9pOQkhRDHRuHFjtm/fzpAhQ6hZsyYPPPAAkyZNYs2aNXh5eRkdnl1Jy0kIIYqR6tWr88033xgdRpGTlpMQQgiHI8lJCCGEw5HkJIQQwuFIchJCCOFwJDkJIYRwOJKchBBCOBxJTkIIIRyOTclJKeWvlPpZKXVQKXVAKfWgUipQKbVKKRVrfQ6w1lVKqS+UUkeUUjFKqUZF+yMIIYQoaWxtOX0O/K61rgnUBw4AY4E1WutwYI11HaATEG59DAGm2DViIYQQJZ7SWt+8glKlgN1AFZ2nslLqENBaa52glAoB1mmtayilvrEuz7ux3rXXmkym3P3Exsba9QcSQghHlJSUxObNmzGbzTRt2pSQkBCjQ7K78PDw3GU/Pz91J/uyZfiiKkAS8J1Sqj6wHRgFBF9LONYEFWStHwqcyvP6eGtZAkIIcY/RWjNt2jSmT59OTk4OAEopevXqxYsvvoiTk1z6z48tyckFaASM1FpHKaU+5/9O4eUnv2xZYPMsIiLChhAcR3R0NFD84gaJ3QjFNW6Q2O3l+++/Z+rUqSil6NKlC25ubixdupT58+fTtGlTRo8efV19R4q9sEwmk932ZUvKjgfitdZR1vWfsSSrROvpPKzP5/LUr5Dn9WHAGfuEK4QQxcvnn38OwFdffcWyZctYuHAhP/zwAwBffPGFkaE5tFsmJ631WeCUUqqGtagdsB9YCgy0lg0Erk0ushQYYO211www5b3eJIQQ95JDhw4B0KNHj9yy7t27o5Ti2LFjZGZmGhUaAGdNGew9bb8Wj73YerJzJPCDUioGaAD8P2Ai0F4pFQu0t64DrACOAkeAb4Hn7RqxEEIUI2FhYQD89ddfuWV///03WmuCgoJwdXU1KjTOJF+h19TNDJ2zncxss2Fx5Mem+Zy01ruA/E6AtsunrgaG32FcQghRIgwePJiXXnqJgQMHsmnTJtzc3HLnYxo8eDBK3VGnttt2OvkKfaZu4VJaJrOebYKbi2N1zJDJBoUQogiNHDmS6Oho5s6dyyeffJJb3rlzZ9566y1DYoq/lE6fb7eQnJbF7Geb0LBigCFx3IwkJyGEKEIuLi58//33DB8+nGXLlpGTk0PHjh1p06aNIa2mUxfT6T11CykZWXz/XFPqV/C/6zHYQpKTEEIUMaUUzZs3p3nz5obGcfKCpcWUejWbH55rRt0wP0PjuRlJTkIIcQ84cSGNPlO3kJ6Vww/PNaVOqOMmJpDkJIQQJd7x82n0+XYLGdbEVLu8YycmkOQkhBAl2tGkVPp8u4WsHM3cwc2oFVLK6JBsIslJCCFKqLikVPpM3UKOWTNvcDNqlPM1OiSbSXISQogS6Mi5FPp8G4XWmnlDmlE9uPgkJpDkJIQQJU5soiUxAcwb3IzwYpaYQJKTEEKUKIfOptBv2haUUswb3IxqQT5Gh3RbHGu8CiGEELft4NnL9P12C05KMX9I8U1MIMlJCCHyZTabmT9/Pl26dOGhhx7i5Zdf5vjx40aHVaD9Zy7T99soXJ2dWDD0QaqWLb6JCeS0nhBC/IPZbKZv374sWLAgt2zjxo1MmzaNlStX0rRpUwOj+6d9Z0z0mxaFp6sz8wY3o1IZb6NDumPSchJCiBv88ssvLFiwgFKlSvHVV1/xxx9/8Nhjj3H58mWee+45LJMvOIa9p030/TYKL1dn5g8pGYkJpOUkhBD/MHfuXADeffddnn/eMiVdq1atqFChAnv37mXfvn3UqVPHyBAB2BNvot+0Lfh6uDJ/SDMqBHoZHZLdSMtJCCFucPnyZQAqVaqUW+bu7k5ISAgAJpPxM8fuPpVMv2lbKOVZ8hITSHISQoh/uDZ6+GeffUZqaioAy5YtIyYmBm9vb+rVq2dkeEQdvcDT06Lw8yqZiQlsTE5KqeNKqT1KqV1KqWhrWaBSapVSKtb6HGAtV0qpL5RSR5RSMUqpRkX5AwghhL0NGzaM0qVLs27dOkJDQ6lVqxZdu3YF4MUXX8TX17ibWlfvT2TAjK0E+3nw49AHCQsoeYkJCtdyaqO1bqC1vjZd+1hgjdY6HFhjXQfoBIRbH0OAKfYKVggh7oaQkBDWrl1Ls2bNuHz5MgcPHqRUqVK88847jB8/3rC4Fm6PZ+j326lZzpcfhz5IiJ+nYbEUtTvpEBEJtLYuzwLWAWOs5bO1pTvLFqWUv1IqRGudcCeBCiHE3VS3bl02b95MXFwcycnJ1KxZE29v43rCTd9wjP8u30+LaqX5pn8EPu4luz+bsqVLpFLqGHAJ0MA3WuupSqlkrbV/njqXtNYBSqnlwESt9QZr+RpgjNY6+lpdk8mU+6axsbH2+2mEEKKE0Vozf18aCw+m0SzUnVFN/HB1vvvTu9siPDw8d9nPz++OgrQ19bbQWp9RSgUBq5RSB29SN7+AHOemACGEKCZytGbGzhT+OHqFdpU9GdLIF2flmInJ3mxKTlrrM9bnc0qpRUATIPHa6TqlVAhwzlo9HqiQ5+VhwJmC9h0REVHQJocUHW1pABa3uEFiN0JxjRskdqNci71eg0a89OMu/jh6hX+3qsqYjjVQDp6Y7NnF/pYdIpRS3kop32vLwKPAXmApMNBabSCwxLq8FBhg7bXXDDDJ9SYhhLBdRrbmudnRLI9J4PVONRnbqabDJyZ7s6XlFAwssn4wLsBcrfXvSqltwI9KqWeBk0APa/0VQGfgCJAO/MvuUQshRAmVkmnm/Q3JHLmUxQfd6tGzcYVbv6gEumVy0lofBernU34BaJdPuQaG2yU6IYS4hyRezuCddZc4k5rN1/0eoGOdckaHZJiS3RdRCCGKiePn03h6ehTn03N486GAezoxgQxfJIQogS5cuMDBgwe5cOGC0aHYZP+Zy3T/32bSrmYzrmUAdYPcjA7JcJKchBAlxvnz5+nWrRudO3emf//+hISEMGjQIFJSUowOrUBbj12k19TNuDorfvp3c6oFuhodkkOQ5CSEKBFycnLo1KkTv/zyC05OTlStWpWcnBxmzZpFz549jQ4vX38eTKT/9CjK+rrz87DmxXpadXuT5CSEKBFWrFhBdHQ0oaGhLFq0iPnz57N37178/Pz4/fff2bZtm9EhXmfxztMMnr2Line truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1507,7 +1270,7 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 576x288 with 1 Axes>"
|
||||
]
|
||||
@@ -1546,9 +1309,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1588,9 +1351,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1633,9 +1396,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"image/png": "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 truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1678,9 +1441,13 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": "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 truncated
|
||||
"application/vnd.jupyter.widget-view+json": {
|
||||
"model_id": "078d318cfedf47349977b0fed2f24a4c",
|
||||
"version_major": 2,
|
||||
"version_minor": 0
|
||||
},
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"interactive(children=(FloatSlider(value=0.0, continuous_update=False, description='x', max=200.0, min=-200.0),…"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1730,9 +1497,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1764,9 +1531,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1827,9 +1594,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1878,9 +1645,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1909,9 +1676,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1940,9 +1707,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -1986,9 +1753,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2015,9 +1782,9 @@
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"image/png": 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truncated
|
||||
"image/png": 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truncated
|
||||
"text/plain": [
|
||||
"<Figure size 432x288 with 1 Axes>"
|
||||
"<Figure size 720x288 with 1 Axes>"
|
||||
]
|
||||
},
|
||||
"metadata": {},
|
||||
@@ -2077,7 +1844,7 @@
|
||||
"source": [
|
||||
"When you construct the object you specify the initial value and rate of change for the signal (`x` and 'dx'), the time step between updates(`dt`) and the two filter parameter (`g` and `h`). `dx` must have the same units of `x`/`dt` - if `x` is in meters and `dt` is in seconds then `dx` must be in meters per second.\n",
|
||||
"\n",
|
||||
"To run the filter call update, passing the measurement in the parameter `z`."
|
||||
"To run the filter call update, passing the measurement in the parameter `z`, which you'll recall is a standard name for measurements in the literature."
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -2251,7 +2018,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.6.4"
|
||||
"version": "3.6.5"
|
||||
},
|
||||
"widgets": {
|
||||
"application/vnd.jupyter.widget-state+json": {
|
||||
|
||||
+222
-4378
File diff suppressed because it is too large.
Load diff
+1
-1
@@ -8,7 +8,7 @@
|
||||
"patch.edgecolor": "#f0f0f0",
|
||||
"examples.directory": "",
|
||||
"figure.facecolor": "#ffffff",
|
||||
"grid.linestyle": "-",
|
||||
"grid.linestyle": "dotted",
|
||||
"grid.linewidth": 2.0,
|
||||
"grid.color": "#cbcbcb",
|
||||
"axes.edgecolor":"#f0f0f0",
|
||||
|
||||
@@ -50,7 +50,7 @@ def reset_figsize():
|
||||
pylab.rcParams['figure.figsize'] = 8, 3
|
||||
|
||||
|
||||
def set_figsize(x=8, y=3):
|
||||
def set_figsize(x=10, y=4):
|
||||
""" set the figure size of the plot to the specified size in inches"""
|
||||
|
||||
pylab.rcParams['figure.figsize'] = x, y
|
||||
|
||||
@@ -38,6 +38,7 @@ def plot_hypothesis1():
|
||||
plt.ylim(150, 185)
|
||||
plt.xlabel('day')
|
||||
plt.ylabel('lbs')
|
||||
plt.grid(False)
|
||||
plt.tight_layout()
|
||||
|
||||
|
||||
@@ -52,6 +53,7 @@ def plot_hypothesis2():
|
||||
plt.ylim(150, 185)
|
||||
plt.xlabel('day')
|
||||
plt.ylabel('lbs')
|
||||
plt.grid(False)
|
||||
|
||||
def plot_hypothesis3():
|
||||
weights = [158.0, 164.2, 160.3, 159.9, 162.1, 164.6,
|
||||
@@ -67,6 +69,7 @@ def plot_hypothesis3():
|
||||
plt.ylim(145, 185)
|
||||
plt.xlabel('day')
|
||||
plt.ylabel('weight (lbs)')
|
||||
plt.grid(False)
|
||||
|
||||
|
||||
def plot_hypothesis4():
|
||||
@@ -84,7 +87,8 @@ def plot_hypothesis4():
|
||||
plt.xlabel('day')
|
||||
plt.ylabel('weight (lbs)')
|
||||
book_plots.show_legend()
|
||||
|
||||
plt.grid(False)
|
||||
|
||||
|
||||
def plot_hypothesis5():
|
||||
weights = [158.0, 164.2, 160.3, 159.9, 162.1, 164.6,
|
||||
@@ -103,6 +107,7 @@ def plot_hypothesis5():
|
||||
plt.xlabel('day')
|
||||
plt.ylabel('weight (lbs)')
|
||||
book_plots.show_legend()
|
||||
plt.grid(False)
|
||||
|
||||
|
||||
def plot_estimate_chart_1():
|
||||
|
||||
Reference in new issue
Block a user