ml-finance-python
python scripts for finance machine learning
git clone https://9o.is/git/ml-finance-python.git
Graphic presentation of data.ipynb
(172457B)
1 {
2 "cells": [
3 {
4 "cell_type": "markdown",
5 "metadata": {},
6 "source": [
7 "# Histogram\n",
8 "By Evgenia \"Jenny\" Nitishinskaya and Delaney Granizo-Mackenzie\n",
9 "\n",
10 "Notebook released under the Creative Commons Attribution 4.0 License.\n",
11 "\n",
12 "---\n",
13 "\n",
14 "A histogram displays a frequency distribution using bars. It lets us quickly see where most of the observations are clustered. The height of each bar represents the number of observations that lie in each interval."
15 ]
16 },
17 {
18 "cell_type": "code",
19 "execution_count": 59,
20 "metadata": {
21 "collapsed": false
22 },
23 "outputs": [
24 {
25 "data": {
26 "image/png": 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eEafwwHNYr28slSRJkiRp2uulsB4NjAKHjxu+56aPI0mSJElSZcrCmpl79CGH\nJElSY9beew+LFy9mwYIFbUdhzZo1bUeQpM3GlIU1IvaZaLiHBEuSpM3F3SuXc+4VA1x49WWt5li1\nYhknHLlfqxkkaXPSyyHBl1AdEgywHbAzMIKHBEuSpM3IzNk7MWvO3LZjSJLWw3ofEhwR/w84pKlA\nkiRJkiQBbLW+M2Tm5cCzG8giSZIkSdJ91vcc1q2AA4Fte3nxiNgdOAfYieqw4tMz81MRsT3VbXLm\nAcPA4Zl5x/pFlyRJkiRtyXrZw3oJ8K3639eBlwPH9Pj6a4A3Z+a+wJOB4yJib+BE4NLM3Au4vH4u\nSZIkSdJ9Gr2tTWYuAZbUj1dGxA3AXOAw4Jn1ZGcD38PSKkmSJEnqMGlhnex2NmPW97Y2EbEHcADw\nE2DnzFxaj1pKdeVhSZIkSZLuMzA6OjrhiIgY5v7b2XQaBOZk5ta9LiQiZgHfB96fmRdFxO2ZOadj\n/G2Zuf1k8w8NDU0cUpI07Y2MjPDpby5p/XYly4avZubsnVvPUVKWUnKUlGXl7Tdz/KG7MG/evFZz\nSFKJ5s+fPzB+2KR7WCe4nc1DgLcAxwEf63WhEbENcCFwbmZeVA9eGhG7ZOaSiNgVWNZD+F4Xqc3E\n0NBQEd/XUnJAOVlKyQHlZCklB5STpZQcg4OD8M0lbceQ1ksJPzul/AxDOVlKyQHlZCklB5STpZQc\nW5qhoaEJh0950aWImBERbwQWALsDj8/Mt/ay0IgYAM4Ers/MT3SMupj7L9x0DHDR+HklSZIkSdNb\nt3NYB4CjgfcAQ8BBmblgPV//qcBRwLURcU097CTgZODLEXEs9W1t1vN1JUmSJElbuG5XCb4WeAjw\nj8BVwIzOCzH1ctGlzPwhk+/FPXg9ckqSJEmSppluhXWQ6qJL751k/J6bPI0kSZIkSbWeL7okSZIk\nSVI/TXnRJUmSJEmS2mBhlSRJkiQVycIqSZIkSSqShVWSJEmSVCQLqyRJkiSpSBZWSZIkSVKRLKyS\nJEmSpCJZWCVJkiRJRbKwSpIkSZKKZGGVJEmSJBXJwipJkiRJKpKFVZIkSZJUJAurJEmSJKlIFlZJ\nkiRJUpEsrJIkSZKkIs1oO4AkqXerV69mZGSEwcHBtqOwZs2atiNIkqQtnIVVkjYjw8PDnHLetcyc\nvaTVHKtWLOOEI/drNYMkSdryWVglaTMzc/ZOzJozt+0YkiRJjfMcVkmSJElSkSyskiRJkqQiWVgl\nSZIkSUWWztuQAAAUpUlEQVSysEqSJEmSimRhlSRJkiQVycIqSZIkSSqShVWSJEmSVCQLqyRJkiSp\nSBZWSZIkSVKRLKySJEmSpCJZWCVJkiRJRbKwSpIkSZKKZGGVJEmSJBXJwipJkiRJKpKFVZIkSZJU\nJAurJEmSJKlIFlZJkiRJUpEsrJIkSZKkIllYJUmSJElFsrBKkiRJkoo0o+0AkqTNz9p772Hx4sUs\nWLCg7SgsXLiw7QiSJKkhFlZJ0nq7e+Vyzr1igAuvvqztKCxfdAM77LZ32zEkSVIDLKySpA0yc/ZO\nzJozt+0YrFqxtO0IkiSpIZ7DKkmSJEkqkoVVkiRJklQkC6skSZIkqUgWVkmSJElSkSyskiRJkqQi\nWVglSZIkSUWysEqSJEmSimRhlSRJkiQVycIqSZIkSSqShVWSJEmSVCQLqyRJkiSpSBZWSZIkSVKR\nLKySJEmSpCJZWCVJkiRJRbKwSpIkSZKKZGGVJEmSJBXJwipJkiRJKpKFVZIkSZJUJAurJEmSJKlI\nFlZJkiRJUpEsrJIkSZKkIllYJUmSJElFsrBKkiRJkopkYZUkSZIkFcnCKkmSJEkqkoVVkiRJklSk\nGU2+eER8HvgzYFlm/kk9bHvgAmAeMAwcnpl3NJlDkiRJkrT5aXoP61nA88cNOxG4NDP3Ai6vn0uS\nJEmStI5GC2tm/gC4fdzgw4Cz68dnAy9uMoMkSZIkafPU6CHBk9g5M5fWj5cCO7eQQZIkqe/W3nsP\nixcvZsGCBa3mWL16NTfeeCODg4Ot5hizZs2atiNIKlQbhfU+mTkaEaO9TDs0NNR0HLWglO9rKTmg\nnCyl5IByspSQY2RkpO0IkjbC3SuXc+4VA1x49WWt5li+6AYePLgDM799a6s5AFatWMYJR+5XxO9Y\nKON3/ZhSspSSA8rJUkqO6aCNwro0InbJzCURsSuwrJeZ5s+f33As9dvQ0FAR39dSckA5WUrJAeVk\nKSXH4OAgfHNJ2zEkbYSZs3di1py5rWZYtWJpETk6lfA7tpTf9VBOllJyQDlZSsmxpZnsQ4A2bmtz\nMXBM/fgY4KIWMkiSJEmSCtf0bW3OB54J7BgRNwHvBk4GvhwRx1Lf1qbJDJIkSZKkzVOjhTUzXznJ\nqIObXK4kSZIkafPXxiHBkiRJkiRNycIqSZIkSSqShVWSJEmSVCQLqyRJkiSpSBZWSZIkSVKRLKyS\nJEmSpCJZWCVJkiRJRbKwSpIkSZKKZGGVJEmSJBVpRtsBJKl0q1evZmRkhMHBwbajsHDhwrYjSJIk\n9Y2FVZKmMDw8zCnnXcvM2UvajsLyRTeww257tx1DkiSpLyysktSDmbN3YtacuW3HYNWKpW1HkCRJ\n6hvPYZUkSZIkFcnCKkmSJEkqkoVVkiRJklQkC6skSZIkqUgWVkmSJElSkSyskiRJkqQiWVglSZIk\nSUWysEqSJEmSimRhlSRJkiQVycIqSZIkSSqShVWSJEmSVCQLqyRJkiSpSBZWSZIkSVKRZrQdQJIm\ns3r1akZGRhgcHGw1x8KFC1tdviRJ0nRlYZVUrOHhYU4571pmzl7Sao7li25gh932bjWDJEnSdGRh\nlVS0mbN3Ytacua1mWLViaavLlyRJmq48h1WSJEmSVCQLqyRJkiSpSBZWSZIkSVKRLKySJEmSpCJZ\nWCVJkiRJRfIqwWrF9Tcs4MvfuIz//ukNbUfhYbNmMH/+/LZjFHPPUYA1a9a0HUGSJEmysKodP/qf\na7j+rsdy/a/aTgLx4F+2HQEo556jq1Ys44Qj92s1gyRJkgQWVqkoJdxzVJIkSSqF57BKkiRJkopk\nYZUkSZIkFcnCKkmSJEkqkoVVkiRJklQkC6skSZIkqUgWVkmSJElSkSyskiRJkqQiWVglSZIkSUWy\nsEqSJEmSimRhlSRJkiQVycIqSZIkSSqShVWSJEmSVKQZbQeQJEnS9LX23ntYvHgxCxYsaDsKa9as\naTuCpHEsrJIkSWrN3SuXc+4VA1x49WWt5li1YhknHLlfqxkkPZCFVZIkSa2aOXsnZs2Z23YMSQXy\nHFZJkiRJUpEsrJIkSZKkIllYJUmSJElFsrBKkiRJkopkYZUkSZIkFcmrBEuSJEkFWb16NSMjIwwO\nDrYdxXvTqnUWVkmSJKkgw8PDnHLetcycvaTVHN6bViWwsEqSJEmF8d60UsVzWCVJkiRJRbKwSpIk\nSZKKZGGVJEmSJBXJwipJkiRJKpKFVZIkSZJUJK8SLGkda++9h8WLF7NgwYK2o7Bw4cK2I0iSNG2V\n9J5g9erV3Hjjjd6bdhqysEpax90rl3PuFQNcePVlbUdh+aIb2GG3vduOIUnStFTae4IHD+7AzG/f\n2moO703bfxZWSQ9Qyr3fVq1Y2nYESZKmtZLeE5SSRf3lOaySJEmSpCJZWCVJkiRJRWrtkOCIeD7w\nCWBr4IzMPKWtLJIkSZKk8rSyhzUitgY+Azwf2Ad4ZUR4ZRVJkiRJ0n3aOiT4QODXmTmcmWuALwEv\naimLJEmSJKlAbR0SPBe4qeP5IuBJLWVRC7bdZmtWL72aB233oLajcPtdtxRxf7GFCxeyasWytmPw\nhztvAwbajgGUk6WUHFBOllJyQDlZSskB5WQpJQeUk8UcD1RKllUrlrF48VrfE3Qo5XsD5WSpvi+7\ntB1jWhkYHR3t+0Ij4qXA8zPzNfXzo4AnZebxE00/NDTU/5CSJEmSpL6ZP3/+Az6VaGsP683A7h3P\nd6fayzqhiYJLkiRJkrZsbRXWq4DHRMQewGLgFcArW8oiSZIkSSpQKxddysx7gDcA/wlcD1yQmTe0\nkUWSJEmSVKZWzmGVJEmSJGkqbd3WRpIkSZKkriyskiRJkqQiWVglSZIkSUVq6yrB2gJFxKeAFwCr\ngFdn5jUTTLMn8CVge2AIODoz10TEkcDbqO4IfSfwusy8NiJ2B84BdgJGgdMz81NtZKnneT7wCWBr\n4IzMPKXBHI8FzgIOAN6RmafW00c9/Zg/At411XppIks9zzDwe+BeYE1mHtjCOtkO+D7wIGBb4BuZ\neVK3HA2vk75tJ93mj4iTgKOAtcB1wF9m5v+1lOVhwBnAvlQ/y3+VmVf2O0c9bmuqq9UvyswXdlsf\nDa+TzwN/BizLzD+ZIsOU21SX5Uw4b0S8HHgv8FjgiZl5dQ/rookc7wcOo9oultfz3NRGlnrc8cDr\nqX6nfSszT2hhnRwIfAbYBrgHeH1m/rThdTLh9hgR2wMXAPOAYeDwzLyjhRxtbCeTZXkv8NfALfWg\nkzLz2y3k+BIQ9dOHAXdk5gFdV8hGZOn2nqyf28kUOT4CHAqsBm6k+ru3oo110jHfW4CPADtm5m1T\nZdEDuYdVm0REHAI8OjMfA7wW+JdJJj0FOLWe7nbg2Hr4b4BnZOZ+wPuB0+vha4A3Z+a+wJOB4yJi\n7zay1G9yPwM8H9gHeGW3LJsgx3LgeOCjnRNn5YD6j9J8ql+cX58sR5NZaqPAs+pMU5XVptbJ3cBB\nmfk4YD/goIh4WhtZ+r2dTDZ/fduw1wCPr9/gbA0cMVmOJrPUPglckpl7U32PJr0yfMM5AN5EdYX6\nKa862HCWs6i2k6kyTLlNddkOus17HfAS4L+mytBwjg9n5v71z+9FwHvayhIRB1GVov0y84+Z+Hde\nX9YJ1QeRBwDvrp83tk5qk22PJwKXZuZewOX18zZy9HU7mSLLKPCxsb/FPZTVRnJk5hEd7wcurP91\ntZFZJnpP9th6XD+3k27vDb8D7JuZ+wMLgF4+vG4qC3WhfQ4wMlUOTc7Cqk3lMOBsgMz8CfCwiNi5\nc4KIGAAOAr5aDzobeHE9z487PgH7CbBbPXxJZv6sfryS6k3uI9rIAhwI/Dozh+s9J18CXtRgjlsy\n8yqqX4aTORi4sYdPmZvOMjDF8hvPkZmr6ofbUpWzqT7FbCpLX7eT+rUnmv/3dbaZETEDmAnc3G2F\nNJUlImYDT8/Mz9fj7pniE++m1gkRsRtwCNXe3l622yay7FI//wFVuZ1KL9vURDl36TZvZv4yMxf0\nsPymc9zZMf8s4Na2sgCvAz5UDyczb6G7pnL8DphdP34YU//sbmyWbtvjffOw7rbd1xwtbCdT/Yz2\n+nev6Rxjv4MOB85vMMvOk7wnmzt+HprdTibL8Yj6+aWZubaev/M9XN+z1D5GddSeNoKFVZvKXKCz\nNC3igb8kdqA6XGXsF8nN3P+LrtOxwCXjB9Z7jA6g+gXURpaJXneieZrIMZkjgC/2MF2TWUaByyLi\nqoh4TVs5ImKriPgZsBS4IjOvbylLv7eTR0y0vKwOOzoV+C2wuJ7/sg3IvrFZdgP2BG6JiLMi4uqI\n+FxEzOxzjrFxHwfeSnWYdC+azNKrXrapyabZFMtvPEdEfCAifgscA5zcYpbHAM+IiCsj4nsR8YSW\ncpwInFqvk4/Qw16ijczSzc6ZubR+vBTYudvEDebo93YyleMj4ucRcWZUpzy0lQPg6cDSzLyxh2k3\nNMs6v/cmeE/Wr+1kqhyd/ooJ3k/2K0tEvIjq1JNre8igLiys2pTGf9q43jf5rQ/H+ivghHHDZ1Ht\nvXhT/QlWG1k25KbFG51jMhGxLfBC4CstZ3lqfTjSC6gOhXl6Gzkyc21Wh4rtRvWG81k9zNZElja2\nkwd80h8RjwL+DtiD6o3xrKjOz+53llGq6yU8HjgtMx8P3MUUh4s1kGMgIg6lOgfsmgnG9zPL+s7f\n6/Tr8zVtiMZyZOY7MvORwBeoPlRoK8sMYE5mPpnqg40vt5TjTOCN9Tp5M/D5HubZ0Cw9b4+ZOdrD\n9I3l6ON2MtV8/0L1QdzjqPaGn9p98sa/N6+ktw+vN0mWqd6T9Ws76ZYjIt4BrM7MXtbLJs9Sfyj7\ndtY9dL3p39FbLAurNlhEvD4iromIa6h+Ye/eMXo3HngI03KqQyi2mmiaiNgP+BxwWGbe3jF8G6rz\nMv4tMy9qMcvN4153d6pP2BrLMYUXAEOTHbLWryyZ+bv6/1uozqVd5zzWPq8T6kNNvwU8YM9In7L0\nezsZv7yxcU8AfpSZyzPzHuBrwFPGh+1TlkVUnzKPXTTmq1QFtt85ngIcFhELqQ6de3ZEnDPudfuV\nZX1MuU1NspxFPc5bUo4vAk9sMcsiqp8V6u11bUTs0EKOAzNz7NoEX2Xc79VNnGWq7XHp2KGpEbEr\nsKylHJ2a3k66ZsnMZZk5WhezM5j6+9PYOqlP+XgJ1QWPerFRWbq8J+vrdtLtvWFEvJrq1I9ePqRt\nKsujqD4w/nn9N2c3YCgiduoxkzpYWLXBMvO0vP9k/4uAVwFExJOpDo9bOm76UeAK4OX1oGPq+YiI\nR1K9STgqM389Nk99XsaZwPWZ+Yk2s1BdVfQxEbFHvXfzFcDFTeXoMNkncq+ky/kq/cgSETMjYrB+\n/BDguVQXcul3jh3HDsmKiAdTXeDgAVdy7dP3p9/bycWTzJ/AkyPiwfXP0cFUFxpqcp1MmCUzlwA3\nRcRe9XQHA7/oc44lmfn2zNw9M/ekOpz+u5n5qjbWyfhlTmHKbarLcnqZF3r75L+RHBHxmI75X8QE\nP7v9ykL1fXt2Pc9ewLaZubyFHL+OiGfWj59NdfGYJtdJNxdTbdMw8e/AvuRoYTvplmXXjqcvYdzf\nvX7lqB0M3JCZi3uYdqOyTPGerG/bSbccUV3t963Ai7K6IGMvNnmWzLwuM3fOzD3rvzmLqC6COFWR\n1wQGRkc32RGKmuYiYuwKa3dRXUb86nr4t4BjM3NJrHvrh6upSuGaiPgc8OdU59tBfXuUqK70+l/A\ntdx/6MVJOfUV+TZ5lnr+F3D/Zc/PzMwPNZhjF+CnwEOpzre7E9inPtTkIVRXnNsz170QRV+zUF3G\n/Wv1ImYA57WxTqhu7fMFqg/htgLOzcyPtLFO6u9P37aTKeZ/G9Ubh7X1PH89Nk8LWfan2hOxLT3c\naqCpHB2v/0zgLZl5WLf10fA6OR94JtU5sMuAd2fmWZNkeMA2FRF/A5CZn51iORNujxHxEuBTwI7A\nCuCazHzBFOuiiRxfBYLqNjI3Ut1KbMo3dQ1l2Ybq8NvHUd0W4y2Z+b0WcjwB+GeqW3X9geq2NlMW\ntI3MMuH2GNXtSr4MPJLeb1fSRI42tpPJspxDtY2MAguBv+mh5G7yHPW4s4AfZ+bp9GhDs3R7T9bP\n7WSKHL+i+jszduHFH2fm69tYJ+Ne/zfAE9Lb2mwQC6skSZIkqUgeEixJkiRJKpKFVZIkSZJUJAur\nJEmSJKlIFlZJkiRJUpEsrJIkSZKkIllYJUmSJElFmtF2AEmSNncRMUx1v8y7qf62fjAzz59invcC\nH5jq3riSJE1n7mGVJGnjjQIvzcwDgCOAMyJi+ynmeTfVDe7XS0T4YbMkadrwj54kSZtQZv4iIu4E\nHhURDwc+DuxIVU4/kZlfiIh/rif/UUTcCxwEfAP4SGZ+CyAivgd8ODMvqR9fAzwZuC0ivgwcCdwG\n/DFwB1VhXhoRTwE+TfWh9DbAP2Xml/rxtUuStKm5h1WSpE1jACAingbMBIaBLwJvzswDgacDJ0XE\nXpl5XD3Pn2bm4zNzBdVe2tGO1xv/eE/gqZn5Z/WyngC8JTP/GLgeOL6e9m1UxfeAetx/bPovVZKk\n/nAPqyRJG28A+GpEDACPpjos+OHAY4EvRcTYdNsAewMLNmAZX8zMtR3P/zszb64fXwk8p358BfDO\niHgUcGlm/s8GLEuSpCJYWCVJ2nhj57BeHxEvAz4EvAi4tT6vtRf3AFt3PN9u3PiV457f3fF4LfXf\n9Mz8ZERcTFVgPx0R38nMd/WYQZKkonhIsCRJm1BmfpXqfNOXAasi4qixcRHx2IgYrJ/eCTysY9Zf\nA0+sp9sHeNy4lx7oZfn1IccLM/N04FNjrylJ0ubIPaySJG16JwE/AV4AvCci3kq193QJcHg9zanA\ndyNiFfAs4MPAVyLixcDV9b9O489pnez58RFxELCaai/s8UiStJkaGB0dnXoqSZIkSZL6zEOCJUmS\nJElFsrBKkiRJkopkYZUkSZIkFcnCKkmSJEkqkoVVkiRJklQkC6skSZIkqUgWVkmSJElSkf4/SKNc\nNRzHkTIAAAAASUVORK5CYII=\n",
27 "text/plain": [
28 "<matplotlib.figure.Figure at 0x7f51a4a6acd0>"
29 ]
30 },
31 "metadata": {},
32 "output_type": "display_data"
33 }
34 ],
35 "source": [
36 "import numpy as np\n",
37 "import matplotlib.pyplot as plt\n",
38 "\n",
39 "# Get returns data for S&P 500\n",
40 "start = '2014-01-01'\n",
41 "end = '2015-01-01'\n",
42 "spy = get_pricing('SPY', fields='price', start_date=start, end_date=end).pct_change()[1:]\n",
43 "\n",
44 "# Plot a histogram using 20 bins\n",
45 "fig = plt.figure(figsize = (16, 7))\n",
46 "_, bins, _ = plt.hist(spy, 20)\n",
47 "labels = ['%.3f' % a for a in bins] # Reduce precision so labels are legible\n",
48 "plt.xticks(bins, labels)\n",
49 "plt.xlabel('Returns')\n",
50 "plt.ylabel('Number of Days')\n",
51 "plt.title('Frequency distribution of S&P 500 returns, 2014');"
52 ]
53 },
54 {
55 "cell_type": "markdown",
56 "metadata": {},
57 "source": [
58 "The graph above shows, for example, that the daily returns on the S&P 500 were between 0.010 and 0.013 on 10 of the days in 2014. Note that we are completely discarding the dates corresponding to these returns.\n",
59 "\n",
60 "An alternative way to display the data would be using a cumulative distribution function, in which the height of a bar represents the number of observations that lie in that bin or in one of the previous ones. This graph is always nondecreasing since you cannot have a negative number of observations. The choice of graph depends on the information you are interested in."
61 ]
62 },
63 {
64 "cell_type": "code",
65 "execution_count": 56,
66 "metadata": {
67 "collapsed": false
68 },
69 "outputs": [
70 {
71 "data": {
72 "image/png": 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bz8wfAtd2mdWtRfcA4IzMvDkzx4FL8DE/kiRJkqQZhmmRJTN/Dfx6Fvf76oh4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\nBZvP5+YrL2TzRfU+9mbeDVd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73 "text/plain": [
74 "<matplotlib.figure.Figure at 0x7f51a40ad590>"
75 ]
76 },
77 "metadata": {},
78 "output_type": "display_data"
79 }
80 ],
81 "source": [
82 "# Example of a cumulative histogram\n",
83 "fig = plt.figure(figsize = (16, 7))\n",
84 "_, bins, _ = plt.hist(spy, 20, cumulative='True')\n",
85 "labels = ['%.3f' % a for a in bins]\n",
86 "plt.xticks(bins, labels)\n",
87 "plt.xlabel('Returns')\n",
88 "plt.ylabel('Number of Days')\n",
89 "plt.title('Cumulative distribution of S&P 500 returns, 2014');"
90 ]
91 },
92 {
93 "cell_type": "markdown",
94 "metadata": {},
95 "source": [
96 "# Scatter plot\n",
97 "\n",
98 "A scatter plot is useful for visualizing the relationship between two data sets. We use two data sets which have some sort of correspondence, such as the date on which the measurement was taken. Each point represents two corresponding values from the two data sets. However, we don't plot the date that the measurements were taken on."
99 ]
100 },
101 {
102 "cell_type": "code",
103 "execution_count": 57,
104 "metadata": {
105 "collapsed": false
106 },
107 "outputs": [
108 {
109 "data": {
110 "image/png": 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Ad/fNfPCD7yCTydStDRPDFIeGNgJwzz072Lv3oqraYD8Q2A9UkESQ3cghgvcBK0IIp4YQ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\n",
111 "text/plain": [
112 "<matplotlib.figure.Figure at 0x7f51a45a4090>"
113 ]
114 },
115 "metadata": {},
116 "output_type": "display_data"
117 }
118 ],
119 "source": [
120 "# Get returns data for some security\n",
121 "asset = get_pricing('MSFT', fields='price', start_date=start, end_date=end).pct_change()[1:]\n",
122 "\n",
123 "# Plot the asset returns vs S&P 500 returns\n",
124 "plt.scatter(asset, spy)\n",
125 "plt.xlabel('MSFT')\n",
126 "plt.ylabel('SPY')\n",
127 "plt.title('Returns in 2014');"
128 ]
129 },
130 {
131 "cell_type": "markdown",
132 "metadata": {},
133 "source": [
134 "# Line graph\n",
135 "\n",
136 "A line graph can be used when we want to track the development of the y value as the x value changes. For instance, when we are plotting the price of a stock, showing it as a line graph instead of just plotting the data points makes it easier to follow the price over time. This necessarily involves \"connecting the dots\" between the data points."
137 ]
138 },
139 {
140 "cell_type": "code",
141 "execution_count": 58,
142 "metadata": {
143 "collapsed": false
144 },
145 "outputs": [
146 {
147 "data": {
148 "image/png": 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zBUwWMjSHGBGaUvVGqAEuA6cusQLmEEMOnMzOFCfxPlkiz2gqpieyLV31xsWO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\nNmuGFzgJc4h+KU62bePg65c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/rvktMH6uemJsRC3mL4WsyIHeKWpCfZh202LksbH/8EU8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rPPy+mIi9Li9ng1uTGQzsEBH7RMQs4MXo7lv4WxyZ8XhE7BsRc/P8+SL2QA4APhERt0Cznw05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\n",
149 "text/plain": [
150 "<matplotlib.figure.Figure at 0x7f519acf5f50>"
151 ]
152 },
153 "metadata": {},
154 "output_type": "display_data"
155 }
156 ],
157 "source": [
158 "spy.plot()\n",
159 "plt.ylabel('Returns');"
160 ]
161 }
162 ],
163 "metadata": {
164 "kernelspec": {
165 "display_name": "Python 2",
166 "language": "python",
167 "name": "python2"
168 },
169 "language_info": {
170 "codemirror_mode": {
171 "name": "ipython",
172 "version": 2
173 },
174 "file_extension": ".py",
175 "mimetype": "text/x-python",
176 "name": "python",
177 "nbconvert_exporter": "python",
178 "pygments_lexer": "ipython2",
179 "version": "2.7.6"
180 }
181 },
182 "nbformat": 4,
183 "nbformat_minor": 0
184 }