Turning_Tuesday_PyData.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Turning Tuesdays\n",
    "\n",
    "In financial markets, traders talk about the concept of \"Turning Tuesday.\" The idea is that if a market is down for several days in a row, it will never turn around on a Friday because traders don't want to stay in a position over the weekend. Their pessism looms over the weekend. Likewise, on a Monday, traders have been sitting around depressed for the whole weekend (because the market is down) so Monday will stay down. It's on Tuesday that more rational heads prevail, so a down market will more likely \"turn around\" on a Tuesday."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### There is anectdotal evidence to support this...."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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UFRSQDgtLWRbwf74H5jI7e++U2/bu7vN+Pnf3Tjtz5pm5Z075nvdt96M1g0EAAhCAAAQg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\nvuWhTukgpoqFrM3t1BbLBIl45GVLYW4VXjYX0+z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QRLi77rordiJyoqBnstCmKDeK3BHX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xEAIRxDYMki6WOPPbZr3kaxWyA2MjUnABvsYSkpVTiTkn/ZsmUpVeko7yDacjgf9GOCB97yAX7+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SF6/MxnPtOWp3/a057WBId+UHnY8yDoenvA1g4xZokZ7UvcOIw8qYy5R3zpuAScVV8d/VSm\n5qi99uyJH5XVh3qw15Zj7YjISuxYgk116rwY8C9NW/x4GCaGVFZ/tKWsMsVMGp/lo+pJk1dMnPOD\nC1Elu+GGG9pf7flR50H86U9/enf//t5Qh9U1aifLPialVb56+sa0FQuBEAiBEAiBEAiBEAiBEAiB\nEAiBEAiBEAiBEAiBEAiBEAiBEFhzBLwbesc73tGdffbZTWQ1bNk7HqKxvfrodcPlfr1XI3o74IAD\nule+8pWjKt6ZffjDH+6u7JfyJtry3mrcvFd67GMf297TjQsbvbv6xCc+0d7niaKp3a233ro7rRfz\nibwoyA4BnmAiQzvllFNaGdEDRVY0Fu+xrMTmPddXvvKV5oegTPuTjJiSaGwocHvwgx/cve51r1su\nSuGwvvZE7jvvvPO6SWJK7/4EGiIe3W677bonPOEJw+orPF5ZJhz/sH9nPx5RUfvGuPPOO7d3iSee\neGK7TjvttFMTxo0vJV0d1A8C3Pe9732j62psT37yk5tQT+AX1waHMsFaDj744HYtCP5wEoFyaN45\nEmkK6oKT94X/+q//2n3gAx9okTGV9c5UpFTiWT7NjZe//OWjiIn6THRJ3EhkqY16t1lt8f3whz+8\nCXPNo4WyuhfM9de+9rXdgQceuELX+nbqqae2KLHjUSSNhThRpFjzt8yS7ISVBKfeeTNiY+9qX/CC\nF3T77rvvtLkr8M5f/MVfdI961KOmRRb1rvfoo49u98i1115b7tte2cMOO6x73OMeNy19ePL1r3+9\nO/bYY7vLL7+89XGXXXZpgkyiZv0VcXP8HluI+3PYhxyHQAiEQAisvQQisBxcO4Kp6/sH3J/1D2Ye\nbjftw617uFrb7Lf9j4kf/ehHHcHoRn10wA36h8ISqK1tY1kq/S2hXgkD5zsuD5uf+9zn2nX1o2/L\nLbccCQjLp4fgEjvW3oO9uUwI6OFYWXOaqNGxH2aOPdyb/4STxI3KVJ+rr+aQH6olgLQnZCwxozb0\nk1/+lOez/CgvTxrThk2bfOifsspohw/n/lJLnSrPj3xm7wevOsbswVof1FPHuR9gGFgm3A8TP7Iw\n9MPSXzrxx2pf/W2Jyz4mpfEfgeWQUo5DIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARC\nYPET8F7Ke6x6z7PQPfbeyvspgUUsSe5d3ExGfOk9luh5ZQR9P/nJT9pKcVaym8t7Xu/HRHTkj3ht\nJrFhtbGm9/Nhom+TBJaC0Vi6mciPUNEqefjM1bxXxMg7Se9acV9d5tp7N7lxH9Rp0vWr1fgqKuPq\n6seK/BLwmmvEpt4rr07D/3vf+15byRCXMu1jVO+Ch/sqM77H76qrrmr3DUHm8P4ZLzvp3Bwi0jQP\nrMo4ky3U/TmT/6SHQAiEQAisPQQisBy7Vr/pHz5/2IsTiafW75cMt7z2pIeesWqL5rSJyn72s+7G\nXpR2p168tln/UHnnXsAWu20JlEDPj4eVmU8lsPSDyl85+VFEEFgRI8u/ch7WS2wp3cOwv4gyN5j2\n1fPj0Q9Hfuz9iCCulK+evfQ699DLRwkR7ZVTRjp/xqeczY9FD7PSmIdhdZStvqgrveppSxnnfCvn\nR4505YxPO9WWsjbtEYsSFjtWl7jSwzVfRJjy/ZjZZ599msCSgFP76rPaqztuk9L0TX1Wdcfr5TwE\nQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQmB+BGYSWM5HUDm/FlM6BEIgBEIg\nBEIgBGYmsPaFZ5x5LAuSI5qeiI/X9eKsm3qhGoHYPVbjX68sSKcHTn5JSNb3m+DLOIgsY0uDAEEf\n8WAZ0Z/5SnxYIkaCPyJJ81Z5Qkr7MvPCpq56jGhRWgkO5VUa/3xKG/pxrA4ftiqjH84rrwSI2iGQ\nZMZQfXBebZUvbZWYUjv6wKpN++F45VkOwF8Q8SuvhJjatxGmYmEJg2233bZFrlSPaS8WAiEQAiEQ\nAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAuMEor4bI7JuL7a6\nZx/xr4SKlgsn9rpLL1pb7EZA9tM+eqXofvfpQ1mLXBjx2GK/ajP3j1iQ1TUsYSGBouMSNlZ6CRUJ\nEkWjVM+mHNGh+cGn+VzCTNEhq569qJPKS1enzqWVv+qxdm0EjHzaStBYfbOvMchTvvw4d2y+sjq3\n18/yoYy+2SpNGcc2PETttJS4MPrOjZVglB9RK23OLQ9e0T+rX63xfIRACIRACIRACIRACIRACIRA\nCIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACITAGIEILMeAOCUUW3/99bvf9sKvX/TC\nrDv0osWNNtxwUUeD1Nfr+35aCvluffRC/SdCiy0dAkSR5iZBIhGhSJVlRIiiVpZ4kZBRvnPiwp/8\n5Cdtz4flwktgaY6UEFEdkSAJGat+CSy1Q3BZbTsnbuSnhKD6pHz1sfqijmPlh76VY0NBpTLaVodv\nG79Vlh9pxmb5b1uVvXcvKlZXf/h0bOyEl9hsscUWLXrleuut19qd7UM7sRAIgRAIgRAIgRAIgRAI\ngRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgTVP4Oabb16uUe8ZYyEQAiEQAiEQAiFwWxCIwHIG6nfr\nhWIbbbBBdy1hWi9avKFffnjDXrRI3LXYjMBM/0Qd1D9i0LUh4uZi47iY+kMkWMLFEioSGdoIDocC\nS6JE6SWoJYSURuwooqNojoS3NpEeiSjv0y8fT2hovhAfKl/RLCvapfol0tQHP1rMtWG/HEsbChuV\n5c9eep3jW8fD/pYYUllbjU86P6zG7lh7+mpcflwRUSonauePfvSj1s+6T6+77rruu9/9bsszXiLM\nEqbWOPiMhUAIhEAIhEAIhEAIhEAIhEAIhEAIhEAIhEAIhEAIhEAIhEAIhEAI3LYEBI05++yzu89+\n9rPLdeRNb3pTt88++3Qb9O/w99xzz/YudLlCSQiBEAiBEAiBEAiB1UAgAstZoN69X1KYWPGGPjKk\nSJZsw/6B7U7LIu/NUnWNZRGbXd+LK4lA79CLzDbohXP6HVv7CRAjDq0Eh4SBtSlT6cSJ5oOthIxE\nh8SIIj2ya6+9tvvxj3/cojkSIRIuEh7yoRwjuCTEdC5fW/bO+a166jCCSCYSJtMPy9OrJ49Qs8qW\nYJIf5eyrTgk4patrHPbqar9Em8Zyww03NN/6JEKlcSorXX0/rPRH2QsvvLDbdNNNuwc96EHdT/t7\nRd+ModpuHRj74Gtos5UdlstxCIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACITA\nyhGwSuPuu+/ettk8VLCV2cokLwRCIARCIARCIAQWikAElrOQJOi6d7+cMqnVz5aJLG/phVciWbbI\nfrPUXRNZv+4j+BF/EpkRV+qXiIURg60J+mu2DYI/AkSCRYLDoVCxekKQKPpkiQfVqfLEho6JKdW9\n6qqruu9///tNdCgCJJ/mNHGiqJDqKkegaM+nCJjmVvmseUZAqYx6xJnEjvzxJV25Klt7fRaBUn+V\n1Z5je6aefGMqH9KVwYHgUr+1Yc4TTtr450+UTmJSe2MWyfK0005rPnfdddfuoQ99aBNhDn98DftW\n/dBmLARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCYPUT8O7OSnyxEAiBEAiB\nEAiBEFhMBCKwXMHVILoishRn72e9WEtkvz/0QrUNejGjSJFDUdYKXC1YNpEncdlPe3El0RuBm/6I\nzHdb9GfBBhZHIwLj15GQ0MYICIkOJ5l0QklCxBJcEiMSPRIs1jLZBJYEiISXNj5FfdSueuaUjZ9a\ngtsxI+gt0WOJI+3NReaHj/wqU+LJOm+F+g/+9El57TpXtsSNhJzElKx8lChT2RKcyicEFcmSwFP/\nCCv1R5kN+yi0119/fXf++ee3vWP38WMe85hu4403HvWz2hnuHZeNX5NKzz4EQiAEQiAEQiAEQiAE\nQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQmBpEojAcg7Xdd1lIss79iIyESNv\n7sVcv+vFX4SX97n3vZs4bU2Ir4jMft8Ly27shWQEYr/pxWP36IVzli2/ey8sW2cG0d0chpgii5yA\na084SUDo2DZuBJGVR2RIXCiN+JERTooyKc9y2cSWolgqIwqkY2H3N9tss+6mm25qbW200UYjoSIB\nL5FniR71xyZypDaIOAkd+b9Xf284J54klHR/EHpWX/RHmk2f+VXOVkLLOnbOlDEG7RFQ8q+MJc+N\nYZNNNumuvvrq7kc/+lHrh74bF0Flcbjmmmu6k08+ufvhD3/Y+vjIRz4yUV8b3XyEQAiEQAiEQAiE\nQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiME4jAcpzIDOeEYARdRGI3\n9OIuAjQRLQnK1u/DlN9rNS/NLWolUSVx5W97kRnR2fq9QE7kSiK32NImQIRIXCgqIwFjRZmsUZdY\nsUSIokWaF+ZJ1SOMdK6s0PrmsvIEiJbQZnz/rBcR37sXDlf4feUJI9VV3p6wUZ/k8V9l+JTu/rAn\ntLRXX5nyUXX1k+iTX2X41QeRKh1Xe8ox94CImsNyyhJ/altf+DNW96v2nWvbOYGlSJff/e53u1NO\nOaWlWzKccDUWAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQ\nAiEQAkMCEVgOaazgmEhLJLyN+yWHRYz8aS/U+mUveCPquqkXfq3Xi9IsGz6+FPIK3M6YTYRGYPaL\nXlD2816w9uteSKYtbdy370OJymZ0kIy1moDrbyMQJAy0pDdBL/GgeSGvrMoSHtpEjpRG6FiizBJm\nmp82IsptttmmlSNaVIe48oYbbug233zzkdhSpEtiS/VZtcFHCTb1h/iRT2JF/WREj7YSV1Zdfav6\n6qlfy3sbr/7wrZw5X1Zj4E85eZY4t3euDmGpseg30aa9zRLo8pXT3umnnz51P/fLhG+11VbtfuLX\nFguBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBCCxX\nYg7cqReMEVNanvvGXsBmuWKiLQJIeQRf9+zzCMYmibWGaQRk4yaNkOzmXmRGHCdiZRPN9b6JO+/T\ni8VKtDZeN+dLh4B5QGh4wQUXtGWtzbOtt966iQIJCMfnkblinpgb6jomxnRO+EiEWJEhzU3nojlu\n2M8pkR6/973vtTR1LRcuqqU8m/lY0SjlW3q75iBBI7/6J20o7pRuqW6CRmJPpt/EldrXP0b4SNhp\n+W9j1kZFtOSXYFM9Qk9lCUHtRaW0rLm+Wx7cOO973/s2Rptuumn3k5/8pAlTcdMP/bE8OFGnts86\n66x27x588MHdLrvs0vreOjT2MWQ9lpXTEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiB\nEAiBEAiBEAiBEAiBEAiBEAiBJUogAsuVvLAEV4RkG/biLsuDE4URW/5q2fLGlvImthTx8i69AI0I\nrYnP+jTCsbI/9CK43/VCMWK43/SCL6IvIrDf9edEZjbt3K8XjYlceef+mDgttrQJECQSERJXfvnL\nX+7OOOOMJnQkFDRXbDU/huI/aeralKk85+aNOVhCS/NMGZFQRXgkolRfGW2bi+a1uvIIFM1F+RUl\n0lUgdCTurKiVfCpnL918V56Pqq8d59qQr50SWErTBtNXfu2l6YsxGYv+E2SK7GnjgwiUwJIolPhS\nH7RFUKr/IlXqk7J8EJhiTLjJ384779xEmsWtdSIfIRACIRACIRACIRACIRACIRACIRACIRACIRAC\nIRACIRACIRACIRACIRACIRACIRACIRACt0sCEViu4mUn0rrrMhHlvXtxlyiW/9FHs7y5F4U1wWQv\nDLu5F4Sx2URbRGBlRGSEaASVxJvEYesuE5VVmeyXJgHzgCiQcPA73/lOd9JJJ3Xf+MY3WvTHit5I\ncEgkKFKq+cfMLSJGewJFc4gv86gEhcoR/Mrjg6CQCJERSW7dizdFpuSH6JIfpr6yTIRIdQgTqz5/\nxJI2wkXRITful93WF8JIUST1w8Z3iSP5NVbCSfX4lMZf+VRfPcLJEljqh3tCnR/84AfdZZdd1gSi\nljXnXx/vd7/7tciUyuLGB14Elvoj2qW0dm/1DE899dQWsdO4H/SgB7X21J3tnpUfC4EQCIEQCIEQ\nCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQWLoEIrBcoGtLiEUAdo8+\nGh9h5EZ9BD3iMCI0US0t803ERrQ2FFOqRxQmil+LdkkI1ovH+JJWAroF6mbcLHIC5gdhJVGl5asJ\nAc0bwj9iREvRmxfEgePiP+nS7PlR3vxRh6CSD/XkmXPKmovOiSPVMwc32GCDJkYkdiSWrAiVV111\nVYsMSbDIHzEmIWNFouSzhJHVRvVV2/Kl81sCT5ejxkIYSUipPX23pLjyRJDO9cVy4dId2xNZ8qsv\nNsJO9x3hpSiWInPKl8bPDjvs0MSrF110UfNtvNL16ZJLLuk++tGPdgceeGC32267tXtwnPEinz7p\nXgiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEwAISiMBy\nAWFyRZBlI2yzRDix5foL3Ebcrb0EZhPsEQxeeeWV3emnn96deeaZ3RVXXNEEjwSN5lMJBgkSnddc\nQ6OOpRPnDtNKrFvpyhAWEh4SWBI0EiASR0rXDmEj8aK2pBE0WjacmNKxvbp88MeIIPmqCJQtsf/g\ng3/l1DNOe+X1mwiz+qhMCTqVUU8/CDK1f91117W9NP3ChqiSuNKx5cHVUdc49EUb9iJvbrPNNt2W\nW27ZyoqYybRN3On83HPPbaLR9ddfv9t+++2b0LQVmvDBbywEQiAEQiAEQiAEQiAEQiAEQiAEQiAE\nQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQmDpEojAcule24xsERIgHixB4rB7xIqWuv7qV7/a\noleKOkkMSMBIHMgsXf3ABz6wHZfA0Mm4P77UsWd8EBcqRzgpnTiQsFAaMaJIq4SQJaiUVseiOxIc\nbrLJJk0c6XyjjTZqPvRTuiiQBIpEk3wSP8q74YYbmp+KWlnRNIkqWfVVv2wl9iSS5MM4iCqNVz4/\n2hiKJUWpVI5PQknjMj5CyuqPseijvonQaanwH/7wh609/SDQxImQ81vf+lY7NsZNN910xEu5odV1\nGablOARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCIARCYOkQ\nWKcXOE2psJbOmDKSEFh0BBLtcNFdkgXtUL5GFxRnnIVACIRACIRACIRACIRACIRACIRACIRACIRA\nCIRACIRACIRACIRACIRACIRACIRACITAoiAwtbbvouhKOhECIRACIRACIRACIRACIRACIRACIRAC\nIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACi4NAlghfHNchvVjiBBLhcIlf4Awv\nBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEIgBEJgyRFIBMsl\nd0kzoBAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAI\ngRAIgVUlEIHlqhJM/RAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAI\ngRAIgRAIgRAIgRAIgSVHIALLJXdJM6AQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQ\nCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIFVJRCB5aoSTP0QCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQ\nCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIElRyACyyV3STOgEAiBEAiBEAiBEAiBEAiB\nEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBVSUQgeWqEkz9EAiBEAiB\nEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBJUcgAssl\nd0kzoBAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAI\ngRAIgVUlEIHlqhJM/RAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAI\ngRAIgRAIgRAIgRAIgSVHIALLJXdJM6AQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQ\nCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIFVJRCB5aoSTP0QCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQ\nCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIElRyACyyV3STOgEAiBEAiBEAiBEAiBEAiB\nEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBVSUQgeWqEkz9EAiBEAiB\nEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBEAiBJUcgAssl\nd0kzoBAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAI\ngRAIgVUlEIHlqhJM/RAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAIgRAI\ngRAIgRAIgRAIgRAIgSVHIALLJXdJM6AQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQ\nCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIFVJXDHVXWQ+rMT+OMf/9jVpqTj5Wyddbp1+sR17Jdty5VJ\nQgiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQCPwb//2byERAiEQAiGw\niAjssssuC9qbH19/Q3f3u9+9W3fddbvf/OY3zfcd7nCHprv5wx/+0N3xjncc6XFKi0NzM8nky1u3\nV+esq8wfxaOb2m65ZZ3ulj/02p7ull64s253hzv22p11b+l++7tf9mm/7+vR/fB6S3++bn9s005f\nv9+3o2qW62U6ITVYtV19XNF530jz3/e4r933rd/0bpqvUUrfq1v6fumgtrU3VXAqzbn+9P9bR5//\nMFWgpUwNSumpMq2yj769ZWNoftt5K9an61P5bAfdLevc0vex/19ruHwtO1lWtuq4blM+p8pVeqU5\n7wv0WPt2+mtR6fZ1XHVqPylv+bLq9+PqL/HUGG71N15/6NcxU8b8Kb/j51VmmF/HzcEyH8Pj8jGt\nrnH31k+5trmmTNmhv6pb6TPlVV19v6X3cQsAA3/lR777yf31gkP2bWXyMZ1ABJbTeSzImS8EX2C/\n/d3v2pf8r/sv+t/9/ved9N/1acOJbZLe6U53apP0zne+c3eXfrtrv0lbt5+4vtiViYVACIRACIRA\nCIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACIRACITA7YEADc0d79jrZtadElXS\nztyhF1vS3Px+ILAkqZmSOfZUZpDX9FValnKKlFCQQJLJJ5y8hQiPRLF3eve7363f98dNWGnPiOxK\nYNmf9uV5WLf/qBJ8lU0d3yrO0/cStZV2aPycoyYGbJ4XWGBJQ7psjMP225ixaB2eEhLKnyrjfFlW\nG9iyfMd9xmwCy2pjqugfm26q0ob7Om7utdsu6qoJLKf5dFWNoRfT2ld/aj+9rGHV2KeXnTqbyjcf\nh/WGdYbHwzrVXu1LDzYqb9ys15z10850a1btDPfr9ALUvifT8p1UmZax7Fw7MwkslSNiLoFl1ct+\nOoEILKfzWOkzgkoCSmLK/7j55u4Xv/xl9/teVGkSmqht671T+y6b/60tU/2PxJh9XYr7m/qblC8C\ny7vd9a7dve91r+6u/d4/EnzFQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAEQiAE\nQuD2TmChI6Xd3nlm/CEQAiGwKAk0VdytYrcSog33+r0uheNs1mc3rSShXV+ufTZt2lREy3XvMBXN\n8g99GMbfi2bZR/or8VuLVNlHaSSmrKiSYmHyQojZHPZnrQfLulEitym93LLEGfp3azuTC0yvfetZ\nHdm3oUyuPi11qj9TFaa1u8xBEzYuO741v1qa3AqfRJsj39NanH5yq89b06XV9RylNqfV7ih11Q9G\nnbx1LFPt9wxLeTlopfo7NQ3Vmd6nkbtRnal86bfWGWWODqpNCcpVO+WvaV3bhB201x9OyXmXuenz\nK3cderLeUeth/2E/ZcrozFTNdVtUUO0pbp4rSQBM2za1Vc3spxOIwHI6j3mf/YE48re/7X75q191\nN/785+2YEJKQkkDyLrZeLDmlrL9jd6c+pOpQKHmLqJb9RozJz29Evfz1r9v5zb/4RXfTf/xHq3uf\n9dbr7n63u3V3Xhbtct4dTYUQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQCIEQ\nCIEQCIEQCIEQWAsICFJGe7Puun9sAcuIwZzbC4AmcFmJxIY6nElDoyOz1DeJZJOf9TvRDC1Dvc46\nvY5HsLT+WN5UgLXf9avWWs6a0FIdy4MTAvZRFUnW2n5ZS3126Tv/qKz/N+HaVL7jKUHdlKBteK7E\ntLK8E3LaWm8J45xPief0xFH5UN+yz6IT9sX6nCl/03y2ulN+21CcK6hCb823hKn/T+2nCrQ85Vr2\nsrRRnanajUyLjtjOB/6W+V6W3Hy5buN9kz/qw9TJaopg2Y+DTraNfYrhsG/j/XJewsfq3/h51Z/q\ndnPckqr8uM8qV/Nh0nlL67Voc2m/+jPu71a/jnrr55Ml3KfmzrL51I+v2lA/ESynUM30GYHlTGRW\nkO4L1bLfRJU33XRT+/K+Y//lTQR597vfvbtnv4k8WZN5Jnd3sIZ9v3V3uUvX3eMerZgJ/OtesHlz\nv/2yj4SpnZ9cd12bzOvd+97den1Uy7aEeCJazoQ16SEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQAiEQ\nAiEQAiEQAiEQAiEQAiEQAiEQAiEQAmspgXG9jfNKq30NTVAzNp5e+VNCsl5hNqUwpDRr2y1/6MVm\n3e+67ndTYsM79MuRL9Md9kLLWwWWU0uKTwnSeq1aX9f6zf2uPyHAJL/k0P9KEDmVPyXS0/5w00/n\n42WmEqb88jTlbZkgrs9sLUyFH2xFfSwnsJS4rL2pw2X90teGYKqX8qbEk1N96537f/sY9m2qTBu0\n3FvHMXW2nMByWKaOa09rNd33rf6au1sAMZ8AABfmSURBVKmCTWDZmA4YVX5xLJ/D8xnLtMH1YzDA\nnkMjMvBdfZpUv9pxzfR/eD6sN+zH8Hjos46LQ83XOu8nUyvis/Kqjn21Zz8+h4Z5VXaZuzbmW9q4\n+bh1DNVPAmXHNb5hmzmeIhCB5UrMBILHm/vIkj/rhZUU86JK/v/2zt43zqrb4mfsmbEd59NJ7hsu\nVwLxip6CCmo6ENR0SDQ0VPwVFNQ0FPwBFCDR8SdQIYGEBHoFV7q6JE5ix86H7fH4rrX22c9zZjwx\n5uMl8WUd55nztc8++/zmsZss7UNRJcWPaxBYLuENXfSin3Yrrl2jQBO+pleuSGS5jf0eIbPl7Tt3\nyn1ktrxy+TL0mOvKiHlav7YzARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMw\nARMwARMwARMwgaedALNVRgbLpe6m2NTisE5RGIVhmcEy5+fPRhtlsESSygGu+2afwkFmraRmjpkV\nDybTMjk6xOXfdV9eAw5RWgguKUDDEjwUPWKhtuAY5XqdcLNuHP5rh8tg2D6MM21Yt33tQTEcbRij\n1ocvxcC9sWXI5DgZfRnSjDFiiBkL1WUfDV3jjQmKLOsURhlXiOvSNuoZI9jAkk5RFDfPU7eljwH6\nzP8pw2rTna+Osz/Nc3M9x1E4nrZdH3bSwspi1mah/SIfGMsSa9iLoI/t19jSatEe7XfE+fn+aXzS\nN0v6p4+2n+8VRyWGrZTC9+w7Q22aMpeGB644xlFT/I4xh1ytmOc7hf3xcrQxMI7lJSQIxO+cy2IC\nFlgu5vLY0YcQOd65e7fs7O4qo+R5iBx5fTfrfPEfu/g3TugFxkt84fx5iSl3sec2MmbyGvH/vXlT\nmSyvQIC5yuyXLiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZg\nAibw/4gAhWBtZr3st2On0utAWTaZ7ENIuYfnAIKypbKyeq6Mx+OyNITQEuLKCa+wroI0idqk0ZPc\nDYI0QMWH6o5vCNUKRJsq1O/JRguPifBymXxnB3Xbj/21FWckiKNp2lDMyN2yj0Yahy335w/HaaeP\nsAmRJAWVKc+kXQjvaJlruKguDx/0Ge6iZl++QyDIDlsp+KOf9EWJKMfVpxM+KLTnWPXA7VXkmW2a\n1tlYFgat7xAV0g+fmKeTxTYxH5LVWftYw0+WiFWxVQGkRhv/2W/35Nh8iXmddCa+tAuXfdw6SJ2k\nCDJL+On7tEvWaZMcj8ddWadhFcpmN2a5Op9+xq2egAWWPYsTW/zD/ABXdm8ig+RD1Lz+m1d1X0TW\nSv7RPdUf6xN3OHmSymMKLZkhcxuZM3eQ0XILNbNpbkBkuY6Ml//uGE6O0LMmYAImYAImYAImYAIm\nYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAIm8McJUCh2xCuloZdRuwrcss2ahfWv\n62UoSJuW3Qc75c7WZrm3s6U1VzeulWvXrumG2cHyIRSCvBacgk6IEKFBpPhQ8jgJEkPCFvtrZ/ig\nGI+XWYdgkf0Q/fViuLDvY2S/LYvmwwQxxDbYJ86ZK1lrXdZYkLq59IcRbRM+yJJdnocxxyMDjsCI\nYyxcx2yX0dNAtde0bPnB/bQu/dUY5YPz1V/bn9232XPGnt8VRZmMBSXPnv4aW853Puv8zBjXoyiW\n6oyizehrQHt0PmCL7TqffPdYOvvaxwBPjQlNdz6i168Pu96nfMm6xqABOIkvOJfrvReAZn/F0FvQ\ntd5hvvt8+H5HIfvGv+JkHw/sWKvQAc+BZwDdm9r1CvTqyFVDwALLBsbjmhRXUtS4heyR+8geeQHC\nSl7RfQ4iy1//I/04r799nHuNhsNyFYLKNex9Z2tL14dv3r6tdMUXEddfGc9vP4FXmIAJmIAJmIAJ\nmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmMDJBEajkW6WpeJtCK0MhWB5\nLTh1PBxj4Xhms1yomaEIjkJIiCD3D/bKrc2b5af//peSqz377LPln9N/lhs3nolrxnV9OIWNEK0t\nI7MlrguXknBKURoeCdQoStPO6FYxm2R5mlY8rRhOAjase1zhfGuPDdGHvURyFM/FSozih7P86Ns8\nu9ZXQ9nN+dT8EmawmBkweaE32+GK4+zokm+0+z01L6Fp2miJ7GM5xZARU/RD2Be+ox0rcjz89OfN\ncR1Jprq2Hc4OpResu3CPaMKm90s/HM/96GB2TC41z3cjxYUn2Yfd/HnpJ74I+meMLHmO3FODGu9j\nCvs+5lwXMbAXc+mTI9TrZgbL3K/di7bZ5+8EC/3l+8+56HMmzr3Eq+C1rj9H64O/T+mLq1xmCVhg\nOcvjWC/FlXchruTv6iVkrGTGyDH+kD+pwl8IZqzky83ryplZ8zZqFma59Av/pL4Z72sCJmACJmAC\nJmACJmACJmACJmACJmACJmACJmACJmACJmACJmACJmACJmACJmACJvBHCVCvo2uQIdbpRIRwSlHY\nIa7yTm1MiMmo6OkFZurkB6aOqsBy7dxaGY6H5d69rfLLzV/gY1quXb9crl+/UkajtRC2aR0Fasxm\nSaEjbrWlOI0CO/qiABEN7qjslTMZLGPTFK6xtyg+js2K4fo+BXHcKE5E8WgIHjmiPTFLCz4sYY0G\nFXX8J9EnbNmvRe06313XXT308XFN3btfGj7pt/rr7cO5+uL7KzYnrZ+bYxcu4yp0boOBE/dv5sO8\nt5/tpxixP2Ce5yT/KbpMX22d7Vy/qN++vzl/kk+ePd8P2rftRf08A+dY5vvdW4LfKbZ5+t4mBJ5t\n/PThMkvAAstZHjM9vuD3cBW3xJX4ZTy/vq7skamCnzF+Ap2V8bhcu3q13Ma15fcfPJDYkmFYZPkE\nvgxvaQImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAImYAIm8KcQoGYH\nMjA8ISWMfi8MS4FYKwxr210QcBECy6MyGo/KeAWZ+obwiWyVWzt3yi+3/qdsXLtU/rFyA3YQmw2W\ny9IAGTMPIdLDT0gOQ5QWyjT6o3fJ1FTP79v223bG1I6xnX3WTESJSo+24A60ycWQHUZUdYBXQzfz\nnb+6IE7RdWCbjrLBOtvAokyPYcM4OBezWcecZrQvxnP/rLEiuMVK4eo8cSzG5Ymb8OFY/Ou6KSxU\nTDKOlbTOwreEC9JWXQ6xkUVnYpwYyIm2znbao88zxSFiMs/AfSKeOKHeS+7PtfN+6lhIcjlNx3QL\n63nb9IE1IbAME52Ltq29bGP/2e+7GqFaFA/frVhFUSUFrHx34Ht6iAczS1rFqF3mCFhgOQcku3wB\nKVqkeBGS9adOXJlx6srwjQ11M97l5WXFmzauTcAETMAETMAETMAETMAETMAETMAETMAETMAETMAE\nTMAETMAETMAETMAETMAETMAETOCsEKBuJ8VsEpkh8Pkxits4ltksH3u2qhubICvl0vKgnDu/Vs5f\nXC8Hk33ogm7i2vDL5fyF9bKCLJYDiMwoPBvgevDYl9cxI4tlOuc14lTAyYZ1FdehRfuMKc3b+Nhm\nSbvWhnN8KIILBSdt1dE4bRUDbCSMYw//mEWT8k8l26SR7uyufthF/wjXg/cnQAuJHNtYalgYq+JB\nbJ1jdMmz1t3V6z5gNwCPFL8ydl5tre9DsVXL2qZPnopPlqlYZi924W48BpbFI2UgRYGSKHbrxasG\nmu8IPc3vwTGCPYKIMPamn2xlPNwtypRngt8URipEfTGw1XjExa0lhqQl/ddYtFf6pz3eKcWOttaz\nrwPGnooGfdpFgWP2mz2ru4iJPmHK7bSCtQZitcbSAEMhCG5i51oGrn+SqMIK7xHFui4LCVhguRBL\nKY/29nTtNtMKX3zKMlfOhyyRJa4t5y/3zr17ZROiUGbZXF1ZmTd13wRMwARMwARMwARMwARMwARM\nwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwASeegISkEkt1ofaidj6oVO3qAEaQGC5tr6G\nTJajMpkgcx+EZY/27pft7dvlP67/J3OwlcnePuSVQ4nn4tpsadG0jyR6EqJBjAYhXj9z6jBOZZjH\nhgZOhX22+SgDokZDYKexNKzjWclPvxDrIc7T5KIFvzaW87VuxJEhBgxRYPsdSVDYCAVzLmuKMdkO\nuyoUPKSElOLZOEXOs04BK9sssS6ErWEdY+08xwdQlQ4oM0Us6Tft52vadKLdCr7dNwSl3B8yXCTB\ni4J+wyO+KZrUQ+S3l/2stXhureY4Vl3n2uyy332xHMx+Z3CscYQslYcUdaKQBSGQEUeWcF5+RXxc\nFhOwwHIBl4PJRNdtU2TJa8E3IF58Wq4FXxCuhkajka4vP0TsDx4+LHe3tsp1XB/+tMf9uPN43ARM\nwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARM4O9OoArBIAYLEd+s\ngO70dI4kqBwsLZe1c+fK6rmVsr93CIHZYdm9f6/c3PylbGxcLaPRapkcTaBfY2ZIFnwysyObVOZJ\n/EZhJcSZmfFPKQJhwX8nqNTaubZN112Bf+0WWjjtCTmchHC9DVuKiBtSIzorjsNQLpdZ1+E6xs61\nOVj9cKoba9ucb20415cUoHKEeE4qKVJszy6RH4V+uRg1jzQcUrgY+7Y2FMCyz8ycLLSlv1zf2nK+\nH8fJITLUzfPNOM+snyZ2+uwEltVWMacwEfJbrcOa2G+eKaY7lumYdT7tfLbT7rT9tGtrtpuSIk5k\nYKWIcmnEN4m8QtSq7KZguYTMmcsQHjO7q8tiAhZYznHhL/POzk55gOvBVyBa3Lh8uYxRn4WyMh5L\nDEqB6M7ubllbXS0XL1yY+aU/C+dwjCZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZgAiZg\nAiZgAiZgAiZgAiZgAn9fAiFc4/mZXS+eFMu1/bBrxWlzzDAVEjpmJVyOB1kHV9dWMX5QpoPDcv/B\nDrL7UWj5X2VlvC6dDa/ePoKGaEABmnwgBo5JJEfxZRVZUgRI4Z3KHxeoVXmltHjKlpnHQRw8JZ/Q\nzSko4okroNHV7jIIGSWXdmNcSVv8UEAYnlDxGBSIcgx7xAK0tRNrlvl5bsLCaDkb34+G8JHiR07S\nJe3yu0ubtj//HXJJ7MBYFZhGIm72sWcVD8a8hup4zLf+YzY8ho/evj9wzHOGa6fTSW/Ec+AHMsUO\nRayLc3FOZ61Ry0dtt3Nst/3coB3XmM4WPtOX1tUF8z6yn/6O1/DFf3if86vmF6N3nGfFIJ8BhJgu\niwlYYDnHheLEre1t/O1bKpcuXpRIcc7kqe6ura1JVMkMlndxjnNQ3Y8p33YxARMwARMwARMwARMw\nARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwARMwgTNAIESUFLvxoRgsxXaL+489krRl\nWA+R3BCJyyiynOCq8NFoXA4Oh9CdHZS9/YcYw223dzbL+toliCwvlukBhWdYjEyJKdZDC+0psgFC\nlTiYoIdaojTqckLY99g4Tj1BPxGvbiCnuI9xoKbYUw3UbEWhyDHms48FXTSxtq6DQUQZn7JXs3qT\n+rCZC4f4zN2Oz3WZPuue+p7SXsvIjI4gUIT/EPj10lExxmwvfMRcw5xqUi7vvgOePRzSabRhMD+W\nfdZ8+D4xKyXrHJOD6iPtOcbkfFNcU86YuPeAQaMx1RcSDLuY6JviRJLlYJZso+7mtKjpt7Zpx7Fq\nFzu1/bogbWnHkv3oLfw8PMIV4XjvGeagXm0/ZQZWxM7L04+mmLC+bCE7Dlpg2aDhL8jWvXuFIst1\nXA3O7I/zSufG/Kls8o8RhaH3798vDx89Kts4z1Vccd6mrn0qA3dQJmACJmACJmACJmACJmACJmAC\nJmACJmACJmACJmACJmACJmACJmACJmACJmACJmACJgACKYI7SbdzGpuESZneaGVUBstLZX9/H7oy\nCP7QphQRF0eXo8l+ubV5E1qhq+WZf1wuh/tVCFdjkR8I05jFElI7rKPIkjWEafj8swq9sVBM2XtF\nSyI6THC8Zm+UIQV+HFan/0g/8+O9RdtKq1zVzrF98nzKJWkVbYoa0wcFiNHhVdSy4BnqdMaeWS85\nTjvK/rLoe64rKAqkTa6nTe8tV8CHqIRdijq5N3+Or+/9ca8hRLjDMa8BxzhjbR+uloOoF9Pv43ii\nLcapgiglMI3vN7N/cooiUuoqh7gefIjfB5fFBCywbLg82tsr28j8OEQqYIoUl1GfxcL4r+Bq8/1b\nt5SN88L582V1ZeUsHsUxm4AJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJmIAJ\nmIAJmIAJ/I0JpMAtEcz3c/zEGkKy4fIIWqCRrkM+mBxIyMeMliy4IbzcvnsHeqHNsnH5GYjolkOi\nV/V0kalRyjro6yiyPMQ8RZYQ7FUhW8jX5O4PfqQy7rh0sBUz5iaxb9oy4JD9aZ7iQN1xrjyKmIN1\nG2heR80tqbbrSrY5kfHkWBrleO0nCHVjjvHq+6KXOt9+f9lmUryuII4BRJbygI+0YU27rNM+s1Ky\nz7l5Ua5ElfBziCylWWiXhe3s53olsuPe3dmJB+fnMlS5Z8SjoZjrnNYG7EWN6+rT9VvbtONY2s7N\nZ5fzMz6y3xnMNihJpbZ1eQSZIGoeXdeFAzlrJOssBWhS5Dq72j0SsPS0vgd84R88eKD0vqurq2Ud\nV2vP/8KdlVeGcZ9HBk6KKpne9T7P1f4hOisHcZwmYAImYAImYAImYAImYAImYAImYAImYAImYAIm\nYAImYAImYAImYAImYAJPhMDXX39d3n777fLmm2+W1157rbzyyivlpZdeKu++++7vjof/J//ee++V\nq1evltdff7189913v9uXF/61BD766KPy/PPPl5dffrl88cUXf+3mJ+z2/fffl7feeqtsbGzo3dzd\n3T3B2lNniUCK3lLwRi3M/NPanKZNAdnycIRMlmPcCvsQOI7KCtorq+MyHC2X3d2dsrl5q9y9exei\nsxDySWCXAjysl2CwZrCMbIq8Spqivj+HLt1IHln31PXTFMRlDHUbxsUxFW3OyLgaNfp8GBSZLeH6\nZwrEaE19pers60Sxth+Xd9hRmsefnM9x1vQTe+jwda9sd77QUDyoqV2ijilEifDRnKn9bjl/cHCg\nZwIhLIWRh1DATvHwivbcnXU9ZtRQETL7ZfcgI+MynyEyUuIZj0fHnhFEh+1DG66PPbEv4mWbcWQs\nbZvxKCMkr93+Mx+Jd6tPtvPhHtk+Zc23gqyn00llGCzJM54Yn+IacZfFBJzBsnKZ4BeC12ln9kpe\ntX2WC5XUly9dKszKubW9XS7hunNfE36Wv1HHbgImYAImYAImYAImYAImYAImYAImYAImYAImYAIm\nYAImYAImYAImYAK/nwDFFT/++GP55ptvyjoS9rz44ovlueee6252/Pbbb8sPP/wgQSV3GY8hOkJS\nn6+++qrcwu2JWW7cuJHN31x/9tln5eOPP9a6L7/8UkLLTz/99Df7eRIL9vB/7+TxpAqvNE5B6kXc\nyPnCCy/8ZaH8/PPP5YMPPpBA56effirvv/9+eeONNyAqevK6ig8//LB8/vnnYvHJJ5+UV199tbzz\nzjt/GRtv9O8jkIK7X9thkV0nPMRivad4VZnFcHIwgS5oiKRr6+XRo0dldXVN4srBEoVmj8r+wcNy\n5+6tcuvOTSQ2uw6dDcRsFJ3Vd11+KWqkoJLiQPxQZqiCPWor+pyp0xQ1LiqypxF9yYYjFDNG0dnQ\njFFuEHZ5Pq7prsLGHO3DNtbLD8aXuE4Eql9OYIx7qcgwxnRUzmmeNfcNsxhr2hjnjownTWRD0SEe\nFs7Fjea0A0uuyb8dcM1mdPscgUvTJSTI49YQS/KBBoprpOVCjX/yS185pxNyAkX+GT9tY0D10RH9\nyCTWo6nYGT/ta+HfW10jjzGKPflMJhQhpkA0xrFB4w8kYB/+Y5P0nX6zHzb9flgYa2mopYwdT/wD\nB54u7MWSH2kn59nPnbS06XDtEUSqE8Q3KMvI2ro8RF2GaFOEOpTwdDQa92vcmiHwf7xFL1rAZXvb\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='img/wsj_turnaround_tuesday.png') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### What does the data say?.... Let's find out!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get some data!\n",
    "\n",
    "`#git clone https://github.com/talumbau/strata_data.git`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sp500 = pd.read_csv(\"data/table.csv\", index_col=0, parse_dates=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Open</th>\n",
       "      <th>High</th>\n",
       "      <th>Low</th>\n",
       "      <th>Close</th>\n",
       "      <th>Volume</th>\n",
       "      <th>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>1926.119995</td>\n",
       "      <td>1935.650024</td>\n",
       "      <td>1901.099976</td>\n",
       "      <td>1923.670044</td>\n",
       "      <td>4607290000</td>\n",
       "      <td>1923.670044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>1985.319946</td>\n",
       "      <td>1985.319946</td>\n",
       "      <td>1918.459961</td>\n",
       "      <td>1922.030029</td>\n",
       "      <td>4664940000</td>\n",
       "      <td>1922.030029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>1985.319946</td>\n",
       "      <td>1985.319946</td>\n",
       "      <td>1938.829956</td>\n",
       "      <td>1943.089966</td>\n",
       "      <td>5076590000</td>\n",
       "      <td>1943.089966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>2011.709961</td>\n",
       "      <td>2011.709961</td>\n",
       "      <td>1979.050049</td>\n",
       "      <td>1990.260010</td>\n",
       "      <td>4336660000</td>\n",
       "      <td>1990.260010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>2013.780029</td>\n",
       "      <td>2021.939941</td>\n",
       "      <td>2004.170044</td>\n",
       "      <td>2016.709961</td>\n",
       "      <td>3706620000</td>\n",
       "      <td>2016.709961</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   Open         High          Low        Close      Volume  \\\n",
       "Date                                                                         \n",
       "2016-01-11  1926.119995  1935.650024  1901.099976  1923.670044  4607290000   \n",
       "2016-01-08  1985.319946  1985.319946  1918.459961  1922.030029  4664940000   \n",
       "2016-01-07  1985.319946  1985.319946  1938.829956  1943.089966  5076590000   \n",
       "2016-01-06  2011.709961  2011.709961  1979.050049  1990.260010  4336660000   \n",
       "2016-01-05  2013.780029  2021.939941  2004.170044  2016.709961  3706620000   \n",
       "\n",
       "              Adj Close  \n",
       "Date                     \n",
       "2016-01-11  1923.670044  \n",
       "2016-01-08  1922.030029  \n",
       "2016-01-07  1943.089966  \n",
       "2016-01-06  1990.260010  \n",
       "2016-01-05  2016.709961  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sp500.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sptt = sp500[[\"Adj Close\"]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>1923.670044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>1922.030029</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>1943.089966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>1990.260010</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>2016.709961</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close\n",
       "Date                   \n",
       "2016-01-11  1923.670044\n",
       "2016-01-08  1922.030029\n",
       "2016-01-07  1943.089966\n",
       "2016-01-06  1990.260010\n",
       "2016-01-05  2016.709961"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1950-01-09</th>\n",
       "      <td>17.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950-01-06</th>\n",
       "      <td>16.98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950-01-05</th>\n",
       "      <td>16.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950-01-04</th>\n",
       "      <td>16.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950-01-03</th>\n",
       "      <td>16.66</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Adj Close\n",
       "Date                 \n",
       "1950-01-09      17.08\n",
       "1950-01-06      16.98\n",
       "1950-01-05      16.93\n",
       "1950-01-04      16.85\n",
       "1950-01-03      16.66"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### If you have datetime data, it's almost always the right answer to use pandas\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2016-01-11', '2016-01-08', '2016-01-07', '2016-01-06',\n",
       "               '2016-01-05', '2016-01-04', '2015-12-31', '2015-12-30',\n",
       "               '2015-12-29', '2015-12-28',\n",
       "               ...\n",
       "               '1950-01-16', '1950-01-13', '1950-01-12', '1950-01-11',\n",
       "               '1950-01-10', '1950-01-09', '1950-01-06', '1950-01-05',\n",
       "               '1950-01-04', '1950-01-03'],\n",
       "              dtype='datetime64[ns]', name='Date', length=16613, freq=None)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sp500.index"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### First question: which days did the market go up or down?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def rel_change(x):\n",
    "    return (x[0] - x[1])/x[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sptt.assign?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/talumbau/miniconda3/envs/coursebuild/lib/python3.4/site-packages/ipykernel/__main__.py:1: FutureWarning: pd.rolling_apply is deprecated for DataFrame and will be removed in a future version, replace with \n",
      "\tDataFrame.rolling(window=2,center=False).apply(args=<tuple>,kwargs=<dict>,func=<function>)\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "sptt = sptt.assign(UpDown=pd.rolling_apply(sptt, 2, rel_change))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>UpDown</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>1923.670044</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>1922.030029</td>\n",
       "      <td>0.000853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>1943.089966</td>\n",
       "      <td>-0.010838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>1990.260010</td>\n",
       "      <td>-0.023700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>2016.709961</td>\n",
       "      <td>-0.013115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-04</th>\n",
       "      <td>2012.660034</td>\n",
       "      <td>0.002012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>2043.939941</td>\n",
       "      <td>-0.015304</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-30</th>\n",
       "      <td>2063.360107</td>\n",
       "      <td>-0.009412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-29</th>\n",
       "      <td>2078.360107</td>\n",
       "      <td>-0.007217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-28</th>\n",
       "      <td>2056.500000</td>\n",
       "      <td>0.010630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-24</th>\n",
       "      <td>2060.989990</td>\n",
       "      <td>-0.002179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-23</th>\n",
       "      <td>2064.290039</td>\n",
       "      <td>-0.001599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-22</th>\n",
       "      <td>2038.969971</td>\n",
       "      <td>0.012418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-21</th>\n",
       "      <td>2021.150024</td>\n",
       "      <td>0.008817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-18</th>\n",
       "      <td>2005.550049</td>\n",
       "      <td>0.007778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-17</th>\n",
       "      <td>2041.890015</td>\n",
       "      <td>-0.017797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-16</th>\n",
       "      <td>2073.070068</td>\n",
       "      <td>-0.015041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-15</th>\n",
       "      <td>2043.410034</td>\n",
       "      <td>0.014515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14</th>\n",
       "      <td>2021.939941</td>\n",
       "      <td>0.010619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-11</th>\n",
       "      <td>2012.369995</td>\n",
       "      <td>0.004756</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close    UpDown\n",
       "Date                             \n",
       "2016-01-11  1923.670044       NaN\n",
       "2016-01-08  1922.030029  0.000853\n",
       "2016-01-07  1943.089966 -0.010838\n",
       "2016-01-06  1990.260010 -0.023700\n",
       "2016-01-05  2016.709961 -0.013115\n",
       "2016-01-04  2012.660034  0.002012\n",
       "2015-12-31  2043.939941 -0.015304\n",
       "2015-12-30  2063.360107 -0.009412\n",
       "2015-12-29  2078.360107 -0.007217\n",
       "2015-12-28  2056.500000  0.010630\n",
       "2015-12-24  2060.989990 -0.002179\n",
       "2015-12-23  2064.290039 -0.001599\n",
       "2015-12-22  2038.969971  0.012418\n",
       "2015-12-21  2021.150024  0.008817\n",
       "2015-12-18  2005.550049  0.007778\n",
       "2015-12-17  2041.890015 -0.017797\n",
       "2015-12-16  2073.070068 -0.015041\n",
       "2015-12-15  2043.410034  0.014515\n",
       "2015-12-14  2021.939941  0.010619\n",
       "2015-12-11  2012.369995  0.004756"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.ix[0:20]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Hmm... we need to shift the results \"up\" one. January 11 was an \"up\" day, but its entry is one row too low in the \"UpDown\" column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sptt.UpDown = sptt.UpDown.shift(-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Adj Close</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
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       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>1923.670044</td>\n",
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       "    <tr>\n",
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       "      <td>1922.030029</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
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       "      <td>2043.939941</td>\n",
       "      <td>-0.009412</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-30</th>\n",
       "      <td>2063.360107</td>\n",
       "      <td>-0.007217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-29</th>\n",
       "      <td>2078.360107</td>\n",
       "      <td>0.010630</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-28</th>\n",
       "      <td>2056.500000</td>\n",
       "      <td>-0.002179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-24</th>\n",
       "      <td>2060.989990</td>\n",
       "      <td>-0.001599</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-23</th>\n",
       "      <td>2064.290039</td>\n",
       "      <td>0.012418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-22</th>\n",
       "      <td>2038.969971</td>\n",
       "      <td>0.008817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-21</th>\n",
       "      <td>2021.150024</td>\n",
       "      <td>0.007778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-18</th>\n",
       "      <td>2005.550049</td>\n",
       "      <td>-0.017797</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-17</th>\n",
       "      <td>2041.890015</td>\n",
       "      <td>-0.015041</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-16</th>\n",
       "      <td>2073.070068</td>\n",
       "      <td>0.014515</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-15</th>\n",
       "      <td>2043.410034</td>\n",
       "      <td>0.010619</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14</th>\n",
       "      <td>2021.939941</td>\n",
       "      <td>0.004756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-11</th>\n",
       "      <td>2012.369995</td>\n",
       "      <td>-0.019423</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close    UpDown\n",
       "Date                             \n",
       "2016-01-11  1923.670044  0.000853\n",
       "2016-01-08  1922.030029 -0.010838\n",
       "2016-01-07  1943.089966 -0.023700\n",
       "2016-01-06  1990.260010 -0.013115\n",
       "2016-01-05  2016.709961  0.002012\n",
       "2016-01-04  2012.660034 -0.015304\n",
       "2015-12-31  2043.939941 -0.009412\n",
       "2015-12-30  2063.360107 -0.007217\n",
       "2015-12-29  2078.360107  0.010630\n",
       "2015-12-28  2056.500000 -0.002179\n",
       "2015-12-24  2060.989990 -0.001599\n",
       "2015-12-23  2064.290039  0.012418\n",
       "2015-12-22  2038.969971  0.008817\n",
       "2015-12-21  2021.150024  0.007778\n",
       "2015-12-18  2005.550049 -0.017797\n",
       "2015-12-17  2041.890015 -0.015041\n",
       "2015-12-16  2073.070068  0.014515\n",
       "2015-12-15  2043.410034  0.010619\n",
       "2015-12-14  2021.939941  0.004756\n",
       "2015-12-11  2012.369995 -0.019423"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.ix[0:20]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>UpDown</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>1923.670044</td>\n",
       "      <td>0.000853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>1922.030029</td>\n",
       "      <td>-0.010838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>1943.089966</td>\n",
       "      <td>-0.023700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>1990.260010</td>\n",
       "      <td>-0.013115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>2016.709961</td>\n",
       "      <td>0.002012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close    UpDown\n",
       "Date                             \n",
       "2016-01-11  1923.670044  0.000853\n",
       "2016-01-08  1922.030029 -0.010838\n",
       "2016-01-07  1943.089966 -0.023700\n",
       "2016-01-06  1990.260010 -0.013115\n",
       "2016-01-05  2016.709961  0.002012"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>UpDown</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>1923.670044</td>\n",
       "      <td>0.000853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>1922.030029</td>\n",
       "      <td>-0.010838</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>1943.089966</td>\n",
       "      <td>-0.023700</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>1990.260010</td>\n",
       "      <td>-0.013115</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>2016.709961</td>\n",
       "      <td>0.002012</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close    UpDown\n",
       "Date                             \n",
       "2016-01-11  1923.670044  0.000853\n",
       "2016-01-08  1922.030029 -0.010838\n",
       "2016-01-07  1943.089966 -0.023700\n",
       "2016-01-06  1990.260010 -0.013115\n",
       "2016-01-05  2016.709961  0.002012"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>UpDown</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1950-01-09</th>\n",
       "      <td>17.08</td>\n",
       "      <td>0.005889</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950-01-06</th>\n",
       "      <td>16.98</td>\n",
       "      <td>0.002953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950-01-05</th>\n",
       "      <td>16.93</td>\n",
       "      <td>0.004748</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950-01-04</th>\n",
       "      <td>16.85</td>\n",
       "      <td>0.011405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1950-01-03</th>\n",
       "      <td>16.66</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Adj Close    UpDown\n",
       "Date                           \n",
       "1950-01-09      17.08  0.005889\n",
       "1950-01-06      16.98  0.002953\n",
       "1950-01-05      16.93  0.004748\n",
       "1950-01-04      16.85  0.011405\n",
       "1950-01-03      16.66       NaN"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Next question: which day of the week corresponds to each row?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DatetimeIndex(['2016-01-11', '2016-01-08', '2016-01-07', '2016-01-06',\n",
       "               '2016-01-05', '2016-01-04', '2015-12-31', '2015-12-30',\n",
       "               '2015-12-29', '2015-12-28',\n",
       "               ...\n",
       "               '1950-01-16', '1950-01-13', '1950-01-12', '1950-01-11',\n",
       "               '1950-01-10', '1950-01-09', '1950-01-06', '1950-01-05',\n",
       "               '1950-01-04', '1950-01-03'],\n",
       "              dtype='datetime64[ns]', name='Date', length=16613, freq=None)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['T',\n",
       " '__abs__',\n",
       " '__add__',\n",
       " '__and__',\n",
       " '__array__',\n",
       " '__array_priority__',\n",
       " '__array_wrap__',\n",
       " '__bool__',\n",
       " '__bytes__',\n",
       " '__class__',\n",
       " '__contains__',\n",
       " '__copy__',\n",
       " '__deepcopy__',\n",
       " '__delattr__',\n",
       " '__dict__',\n",
       " '__dir__',\n",
       " '__doc__',\n",
       " '__eq__',\n",
       " '__floordiv__',\n",
       " '__format__',\n",
       " '__ge__',\n",
       " '__getattribute__',\n",
       " '__getitem__',\n",
       " '__gt__',\n",
       " '__hash__',\n",
       " '__iadd__',\n",
       " '__init__',\n",
       " '__inv__',\n",
       " '__isub__',\n",
       " '__iter__',\n",
       " '__le__',\n",
       " '__len__',\n",
       " '__lt__',\n",
       " '__mod__',\n",
       " '__module__',\n",
       " '__mul__',\n",
       " '__ne__',\n",
       " '__neg__',\n",
       " '__new__',\n",
       " '__nonzero__',\n",
       " '__or__',\n",
       " '__pos__',\n",
       " '__pow__',\n",
       " '__radd__',\n",
       " '__reduce__',\n",
       " '__reduce_ex__',\n",
       " '__repr__',\n",
       " '__rfloordiv__',\n",
       " '__rmul__',\n",
       " '__rpow__',\n",
       " '__rsub__',\n",
       " '__rtruediv__',\n",
       " '__setattr__',\n",
       " '__setitem__',\n",
       " '__setstate__',\n",
       " '__sizeof__',\n",
       " '__str__',\n",
       " '__sub__',\n",
       " '__subclasshook__',\n",
       " '__truediv__',\n",
       " '__unicode__',\n",
       " '__weakref__',\n",
       " '__xor__',\n",
       " '_add_comparison_methods',\n",
       " '_add_datelike',\n",
       " '_add_datetimelike_methods',\n",
       " '_add_delta',\n",
       " '_add_delta_td',\n",
       " '_add_delta_tdi',\n",
       " '_add_logical_methods',\n",
       " '_add_logical_methods_disabled',\n",
       " '_add_numeric_methods',\n",
       " '_add_numeric_methods_binary',\n",
       " '_add_numeric_methods_disabled',\n",
       " '_add_numeric_methods_unary',\n",
       " '_add_numericlike_set_methods_disabled',\n",
       " '_add_offset',\n",
       " '_allow_datetime_index_ops',\n",
       " '_allow_index_ops',\n",
       " '_allow_period_index_ops',\n",
       " '_arrmap',\n",
       " '_assert_can_do_op',\n",
       " '_assert_can_do_setop',\n",
       " '_attributes',\n",
       " '_box_func',\n",
       " '_box_scalars',\n",
       " '_box_values',\n",
       " '_cached_range',\n",
       " '_can_fast_union',\n",
       " '_can_hold_na',\n",
       " '_can_reindex',\n",
       " '_cleanup',\n",
       " '_coerce_scalar_to_index',\n",
       " '_coerce_to_ndarray',\n",
       " '_comparables',\n",
       " '_constructor',\n",
       " '_convert_can_do_setop',\n",
       " '_convert_for_op',\n",
       " '_convert_list_indexer',\n",
       " '_convert_scalar_indexer',\n",
       " '_convert_slice_indexer',\n",
       " '_convert_tolerance',\n",
       " '_data',\n",
       " '_datetimelike_ops',\n",
       " '_dir_additions',\n",
       " '_dir_deletions',\n",
       " '_engine',\n",
       " '_engine_type',\n",
       " '_ensure_compat_append',\n",
       " '_ensure_compat_concat',\n",
       " '_evaluate_with_datetime_like',\n",
       " '_evaluate_with_timedelta_like',\n",
       " '_fast_union',\n",
       " '_filter_indexer_tolerance',\n",
       " '_format_attrs',\n",
       " '_format_data',\n",
       " '_format_native_types',\n",
       " '_format_space',\n",
       " '_format_with_header',\n",
       " '_formatter_func',\n",
       " '_generate',\n",
       " '_get_attributes_dict',\n",
       " '_get_duplicates',\n",
       " '_get_fill_indexer',\n",
       " '_get_fill_indexer_searchsorted',\n",
       " '_get_freq',\n",
       " '_get_level_number',\n",
       " '_get_names',\n",
       " '_get_nearest_indexer',\n",
       " '_get_string_slice',\n",
       " '_get_time_micros',\n",
       " '_groupby',\n",
       " '_has_complex_internals',\n",
       " '_has_same_tz',\n",
       " '_id',\n",
       " '_infer_as_myclass',\n",
       " '_inner_indexer',\n",
       " '_invalid_indexer',\n",
       " '_is_dates_only',\n",
       " '_is_numeric_dtype',\n",
       " '_isnan',\n",
       " '_join_i8_wrapper',\n",
       " '_join_level',\n",
       " '_join_monotonic',\n",
       " '_join_multi',\n",
       " '_join_non_unique',\n",
       " '_join_precedence',\n",
       " '_left_indexer',\n",
       " '_left_indexer_unique',\n",
       " '_local_timestamps',\n",
       " '_make_str_accessor',\n",
       " '_maybe_cast_indexer',\n",
       " '_maybe_cast_slice_bound',\n",
       " '_maybe_mask_results',\n",
       " '_maybe_update_attributes',\n",
       " '_maybe_utc_convert',\n",
       " '_mpl_repr',\n",
       " '_na_value',\n",
       " '_nan_idxs',\n",
       " '_nat_new',\n",
       " '_outer_indexer',\n",
       " '_parsed_string_to_bounds',\n",
       " '_partial_date_slice',\n",
       " '_possibly_promote',\n",
       " '_reduce',\n",
       " '_reindex_non_unique',\n",
       " '_reset_cache',\n",
       " '_reset_identity',\n",
       " '_resolution',\n",
       " '_round',\n",
       " '_round_doc',\n",
       " '_scalar_data_error',\n",
       " '_searchsorted_monotonic',\n",
       " '_set_freq',\n",
       " '_set_names',\n",
       " '_shallow_copy',\n",
       " '_shallow_copy_with_infer',\n",
       " '_simple_new',\n",
       " '_string_data_error',\n",
       " '_sub_datelike',\n",
       " '_timezone',\n",
       " '_to_embed',\n",
       " '_to_safe_for_reshape',\n",
       " '_typ',\n",
       " '_unpickle_compat',\n",
       " '_update_inplace',\n",
       " '_validate_for_numeric_binop',\n",
       " '_validate_for_numeric_unaryop',\n",
       " '_validate_index_level',\n",
       " '_validate_indexer',\n",
       " '_values',\n",
       " '_wrap_joined_index',\n",
       " '_wrap_union_result',\n",
       " 'all',\n",
       " 'any',\n",
       " 'append',\n",
       " 'argmax',\n",
       " 'argmin',\n",
       " 'argsort',\n",
       " 'asi8',\n",
       " 'asobject',\n",
       " 'asof',\n",
       " 'asof_locs',\n",
       " 'astype',\n",
       " 'base',\n",
       " 'ceil',\n",
       " 'copy',\n",
       " 'data',\n",
       " 'date',\n",
       " 'day',\n",
       " 'dayofweek',\n",
       " 'dayofyear',\n",
       " 'days_in_month',\n",
       " 'daysinmonth',\n",
       " 'delete',\n",
       " 'diff',\n",
       " 'difference',\n",
       " 'drop',\n",
       " 'drop_duplicates',\n",
       " 'dtype',\n",
       " 'dtype_str',\n",
       " 'duplicated',\n",
       " 'equals',\n",
       " 'factorize',\n",
       " 'fillna',\n",
       " 'flags',\n",
       " 'floor',\n",
       " 'format',\n",
       " 'freq',\n",
       " 'freqstr',\n",
       " 'get_duplicates',\n",
       " 'get_indexer',\n",
       " 'get_indexer_for',\n",
       " 'get_indexer_non_unique',\n",
       " 'get_level_values',\n",
       " 'get_loc',\n",
       " 'get_slice_bound',\n",
       " 'get_value',\n",
       " 'get_value_maybe_box',\n",
       " 'get_values',\n",
       " 'groupby',\n",
       " 'has_duplicates',\n",
       " 'hasnans',\n",
       " 'holds_integer',\n",
       " 'hour',\n",
       " 'identical',\n",
       " 'indexer_at_time',\n",
       " 'indexer_between_time',\n",
       " 'inferred_freq',\n",
       " 'inferred_type',\n",
       " 'insert',\n",
       " 'intersection',\n",
       " 'is_',\n",
       " 'is_all_dates',\n",
       " 'is_boolean',\n",
       " 'is_categorical',\n",
       " 'is_floating',\n",
       " 'is_integer',\n",
       " 'is_lexsorted_for_tuple',\n",
       " 'is_mixed',\n",
       " 'is_monotonic',\n",
       " 'is_monotonic_decreasing',\n",
       " 'is_monotonic_increasing',\n",
       " 'is_month_end',\n",
       " 'is_month_start',\n",
       " 'is_normalized',\n",
       " 'is_numeric',\n",
       " 'is_object',\n",
       " 'is_quarter_end',\n",
       " 'is_quarter_start',\n",
       " 'is_type_compatible',\n",
       " 'is_unique',\n",
       " 'is_year_end',\n",
       " 'is_year_start',\n",
       " 'isin',\n",
       " 'item',\n",
       " 'itemsize',\n",
       " 'join',\n",
       " 'map',\n",
       " 'max',\n",
       " 'memory_usage',\n",
       " 'microsecond',\n",
       " 'min',\n",
       " 'minute',\n",
       " 'month',\n",
       " 'name',\n",
       " 'names',\n",
       " 'nanosecond',\n",
       " 'nbytes',\n",
       " 'ndim',\n",
       " 'nlevels',\n",
       " 'normalize',\n",
       " 'nunique',\n",
       " 'offset',\n",
       " 'order',\n",
       " 'putmask',\n",
       " 'quarter',\n",
       " 'ravel',\n",
       " 'reindex',\n",
       " 'rename',\n",
       " 'repeat',\n",
       " 'resolution',\n",
       " 'round',\n",
       " 'searchsorted',\n",
       " 'second',\n",
       " 'set_names',\n",
       " 'set_value',\n",
       " 'shape',\n",
       " 'shift',\n",
       " 'size',\n",
       " 'slice_indexer',\n",
       " 'slice_locs',\n",
       " 'snap',\n",
       " 'sort',\n",
       " 'sort_values',\n",
       " 'sortlevel',\n",
       " 'strftime',\n",
       " 'strides',\n",
       " 'summary',\n",
       " 'sym_diff',\n",
       " 'take',\n",
       " 'time',\n",
       " 'to_datetime',\n",
       " 'to_julian_date',\n",
       " 'to_native_types',\n",
       " 'to_period',\n",
       " 'to_perioddelta',\n",
       " 'to_pydatetime',\n",
       " 'to_series',\n",
       " 'tolist',\n",
       " 'transpose',\n",
       " 'tz',\n",
       " 'tz_convert',\n",
       " 'tz_localize',\n",
       " 'tzinfo',\n",
       " 'union',\n",
       " 'union_many',\n",
       " 'unique',\n",
       " 'value_counts',\n",
       " 'values',\n",
       " 'view',\n",
       " 'week',\n",
       " 'weekday',\n",
       " 'weekofyear',\n",
       " 'year']"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(sptt.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sptt['day_num'] = sptt.index.dayofweek"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
       "      <th>UpDown</th>\n",
       "      <th>day_num</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016-01-11</th>\n",
       "      <td>1923.670044</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-08</th>\n",
       "      <td>1922.030029</td>\n",
       "      <td>-0.010838</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-07</th>\n",
       "      <td>1943.089966</td>\n",
       "      <td>-0.023700</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>1990.260010</td>\n",
       "      <td>-0.013115</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>2016.709961</td>\n",
       "      <td>0.002012</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-04</th>\n",
       "      <td>2012.660034</td>\n",
       "      <td>-0.015304</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>2043.939941</td>\n",
       "      <td>-0.009412</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close    UpDown  day_num\n",
       "Date                                      \n",
       "2016-01-11  1923.670044  0.000853        0\n",
       "2016-01-08  1922.030029 -0.010838        4\n",
       "2016-01-07  1943.089966 -0.023700        3\n",
       "2016-01-06  1990.260010 -0.013115        2\n",
       "2016-01-05  2016.709961  0.002012        1\n",
       "2016-01-04  2012.660034 -0.015304        0\n",
       "2015-12-31  2043.939941 -0.009412        3"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.head(7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Groupby operations! Do calculations over every value that has the same day of week. Ex:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    478.334693\n",
       "1    487.397694\n",
       "2    487.905133\n",
       "3    485.221006\n",
       "4    484.926614\n",
       "Name: Adj Close, dtype: float64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt[\"Adj Close\"].groupby(sptt.index.dayofweek).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Let's get more specific with the \"Turning Tuesday Hypothesis\":\n",
    "\n",
    "We'll say a \"down market\" is a market where there are three or more days in a row where the market closes lower than it started. So, for example, for a Thursday, we are interested in what has happened on the three previous tradings days (typically the Monday, Tuesday, and Wednesday directly preceding the Thursday). With that as the definition of a \"down market\", the question is then, 'When we are in a down market, do we return to an up market more frequently on a Tuesday than on other days of the week?'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def last_three_days_down(x):\n",
    "    if x[1]<=0 and x[2]<=0 and x[3]<=0:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/talumbau/miniconda3/envs/coursebuild/lib/python3.4/site-packages/ipykernel/__main__.py:1: FutureWarning: pd.rolling_apply is deprecated for Series and will be removed in a future version, replace with \n",
      "\tSeries.rolling(window=4,center=False).apply(args=<tuple>,kwargs=<dict>,func=<function>)\n",
      "  if __name__ == '__main__':\n"
     ]
    }
   ],
   "source": [
    "sptt['ltdd'] = pd.rolling_apply(sptt[\"UpDown\"], 4, last_three_days_down).shift(-3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Adj Close</th>\n",
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       "    <tr>\n",
       "      <th>Date</th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close    UpDown  day_num  ltdd\n",
       "Date                                            \n",
       "2016-01-11  1923.670044  0.000853        0   1.0\n",
       "2016-01-08  1922.030029 -0.010838        4   0.0\n",
       "2016-01-07  1943.089966 -0.023700        3   0.0\n",
       "2016-01-06  1990.260010 -0.013115        2   0.0\n",
       "2016-01-05  2016.709961  0.002012        1   1.0"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "16613"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(sptt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>2016-01-07</th>\n",
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       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>1990.260010</td>\n",
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       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close    UpDown  day_num  ltdd\n",
       "Date                                            \n",
       "2016-01-11  1923.670044  0.000853        0   1.0\n",
       "2016-01-08  1922.030029 -0.010838        4   0.0\n",
       "2016-01-07  1943.089966 -0.023700        3   0.0\n",
       "2016-01-06  1990.260010 -0.013115        2   0.0\n",
       "2016-01-05  2016.709961  0.002012        1   1.0"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sptt['turned'] = (sptt['ltdd'] > 0.) & (sptt['UpDown'] > 0.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th>Adj Close</th>\n",
       "      <th>UpDown</th>\n",
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       "      <th>ltdd</th>\n",
       "      <th>turned</th>\n",
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       "      <th></th>\n",
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       "  <tbody>\n",
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       "      <th>2016-01-11</th>\n",
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       "      <th>2016-01-08</th>\n",
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       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-06</th>\n",
       "      <td>1990.260010</td>\n",
       "      <td>-0.013115</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
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       "    <tr>\n",
       "      <th>2016-01-05</th>\n",
       "      <td>2016.709961</td>\n",
       "      <td>0.002012</td>\n",
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       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016-01-04</th>\n",
       "      <td>2012.660034</td>\n",
       "      <td>-0.015304</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-31</th>\n",
       "      <td>2043.939941</td>\n",
       "      <td>-0.009412</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-30</th>\n",
       "      <td>2063.360107</td>\n",
       "      <td>-0.007217</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-29</th>\n",
       "      <td>2078.360107</td>\n",
       "      <td>0.010630</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-28</th>\n",
       "      <td>2056.500000</td>\n",
       "      <td>-0.002179</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-24</th>\n",
       "      <td>2060.989990</td>\n",
       "      <td>-0.001599</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-23</th>\n",
       "      <td>2064.290039</td>\n",
       "      <td>0.012418</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-22</th>\n",
       "      <td>2038.969971</td>\n",
       "      <td>0.008817</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-21</th>\n",
       "      <td>2021.150024</td>\n",
       "      <td>0.007778</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-18</th>\n",
       "      <td>2005.550049</td>\n",
       "      <td>-0.017797</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-17</th>\n",
       "      <td>2041.890015</td>\n",
       "      <td>-0.015041</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-16</th>\n",
       "      <td>2073.070068</td>\n",
       "      <td>0.014515</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-15</th>\n",
       "      <td>2043.410034</td>\n",
       "      <td>0.010619</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-14</th>\n",
       "      <td>2021.939941</td>\n",
       "      <td>0.004756</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-11</th>\n",
       "      <td>2012.369995</td>\n",
       "      <td>-0.019423</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-10</th>\n",
       "      <td>2052.229980</td>\n",
       "      <td>0.002251</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-09</th>\n",
       "      <td>2047.619995</td>\n",
       "      <td>-0.007739</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-08</th>\n",
       "      <td>2063.590088</td>\n",
       "      <td>-0.006490</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-07</th>\n",
       "      <td>2077.070068</td>\n",
       "      <td>-0.006990</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-04</th>\n",
       "      <td>2091.689941</td>\n",
       "      <td>0.020526</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-03</th>\n",
       "      <td>2049.620117</td>\n",
       "      <td>-0.014374</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-02</th>\n",
       "      <td>2079.510010</td>\n",
       "      <td>-0.010996</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-12-01</th>\n",
       "      <td>2102.629883</td>\n",
       "      <td>0.010681</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-30</th>\n",
       "      <td>2080.409912</td>\n",
       "      <td>-0.004641</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-27</th>\n",
       "      <td>2090.110107</td>\n",
       "      <td>0.000594</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-25</th>\n",
       "      <td>2088.870117</td>\n",
       "      <td>-0.000129</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-24</th>\n",
       "      <td>2089.139893</td>\n",
       "      <td>0.001222</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-23</th>\n",
       "      <td>2086.590088</td>\n",
       "      <td>-0.001235</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-20</th>\n",
       "      <td>2089.169922</td>\n",
       "      <td>0.003810</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-19</th>\n",
       "      <td>2081.239990</td>\n",
       "      <td>-0.001123</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-18</th>\n",
       "      <td>2083.580078</td>\n",
       "      <td>0.016162</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-17</th>\n",
       "      <td>2050.439941</td>\n",
       "      <td>-0.001339</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-16</th>\n",
       "      <td>2053.189941</td>\n",
       "      <td>0.014903</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-13</th>\n",
       "      <td>2023.040039</td>\n",
       "      <td>-0.011207</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-12</th>\n",
       "      <td>2045.969971</td>\n",
       "      <td>-0.013990</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-11</th>\n",
       "      <td>2075.000000</td>\n",
       "      <td>-0.003228</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-10</th>\n",
       "      <td>2081.719971</td>\n",
       "      <td>0.001511</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-09</th>\n",
       "      <td>2078.580078</td>\n",
       "      <td>-0.009823</td>\n",
       "      <td>0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-06</th>\n",
       "      <td>2099.199951</td>\n",
       "      <td>-0.000348</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-05</th>\n",
       "      <td>2099.929932</td>\n",
       "      <td>-0.001132</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-04</th>\n",
       "      <td>2102.310059</td>\n",
       "      <td>-0.003545</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-03</th>\n",
       "      <td>2109.790039</td>\n",
       "      <td>0.002728</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-11-02</th>\n",
       "      <td>2104.050049</td>\n",
       "      <td>0.011874</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-30</th>\n",
       "      <td>2079.360107</td>\n",
       "      <td>-0.004810</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2015-10-29</th>\n",
       "      <td>2089.409912</td>\n",
       "      <td>-0.000450</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Adj Close    UpDown  day_num  ltdd turned\n",
       "Date                                                   \n",
       "2016-01-11  1923.670044  0.000853        0   1.0   True\n",
       "2016-01-08  1922.030029 -0.010838        4   0.0  False\n",
       "2016-01-07  1943.089966 -0.023700        3   0.0  False\n",
       "2016-01-06  1990.260010 -0.013115        2   0.0  False\n",
       "2016-01-05  2016.709961  0.002012        1   1.0   True\n",
       "2016-01-04  2012.660034 -0.015304        0   0.0  False\n",
       "2015-12-31  2043.939941 -0.009412        3   0.0  False\n",
       "2015-12-30  2063.360107 -0.007217        2   0.0  False\n",
       "2015-12-29  2078.360107  0.010630        1   0.0  False\n",
       "2015-12-28  2056.500000 -0.002179        0   0.0  False\n",
       "2015-12-24  2060.989990 -0.001599        3   0.0  False\n",
       "2015-12-23  2064.290039  0.012418        2   0.0  False\n",
       "2015-12-22  2038.969971  0.008817        1   0.0  False\n",
       "2015-12-21  2021.150024  0.007778        0   0.0  False\n",
       "2015-12-18  2005.550049 -0.017797        4   0.0  False\n",
       "2015-12-17  2041.890015 -0.015041        3   0.0  False\n",
       "2015-12-16  2073.070068  0.014515        2   0.0  False\n",
       "2015-12-15  2043.410034  0.010619        1   0.0  False\n",
       "2015-12-14  2021.939941  0.004756        0   0.0  False\n",
       "2015-12-11  2012.369995 -0.019423        4   0.0  False\n",
       "2015-12-10  2052.229980  0.002251        3   1.0   True\n",
       "2015-12-09  2047.619995 -0.007739        2   0.0  False\n",
       "2015-12-08  2063.590088 -0.006490        1   0.0  False\n",
       "2015-12-07  2077.070068 -0.006990        0   0.0  False\n",
       "2015-12-04  2091.689941  0.020526        4   0.0  False\n",
       "2015-12-03  2049.620117 -0.014374        3   0.0  False\n",
       "2015-12-02  2079.510010 -0.010996        2   0.0  False\n",
       "2015-12-01  2102.629883  0.010681        1   0.0  False\n",
       "2015-11-30  2080.409912 -0.004641        0   0.0  False\n",
       "2015-11-27  2090.110107  0.000594        4   0.0  False\n",
       "2015-11-25  2088.870117 -0.000129        2   0.0  False\n",
       "2015-11-24  2089.139893  0.001222        1   0.0  False\n",
       "2015-11-23  2086.590088 -0.001235        0   0.0  False\n",
       "2015-11-20  2089.169922  0.003810        4   0.0  False\n",
       "2015-11-19  2081.239990 -0.001123        3   0.0  False\n",
       "2015-11-18  2083.580078  0.016162        2   0.0  False\n",
       "2015-11-17  2050.439941 -0.001339        1   0.0  False\n",
       "2015-11-16  2053.189941  0.014903        0   1.0   True\n",
       "2015-11-13  2023.040039 -0.011207        4   0.0  False\n",
       "2015-11-12  2045.969971 -0.013990        3   0.0  False\n",
       "2015-11-11  2075.000000 -0.003228        2   0.0  False\n",
       "2015-11-10  2081.719971  0.001511        1   1.0   True\n",
       "2015-11-09  2078.580078 -0.009823        0   1.0  False\n",
       "2015-11-06  2099.199951 -0.000348        4   0.0  False\n",
       "2015-11-05  2099.929932 -0.001132        3   0.0  False\n",
       "2015-11-04  2102.310059 -0.003545        2   0.0  False\n",
       "2015-11-03  2109.790039  0.002728        1   0.0  False\n",
       "2015-11-02  2104.050049  0.011874        0   0.0  False\n",
       "2015-10-30  2079.360107 -0.004810        4   0.0  False\n",
       "2015-10-29  2089.409912 -0.000450        3   0.0  False"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sptt.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sp_turning_days_totals = sptt.turned.groupby(sptt.index.dayofweek).sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1166045c0>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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ZPRAfP8/MXjCzt81srZmd2+prZpnZTjNrMLNxnQmWJFu3wt69cMMNoZOIdJ26/fLVbodv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\npX0VQAAAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1163a6b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sp_turning_days_totals.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    142.0\n",
       "1    256.0\n",
       "2    223.0\n",
       "3    193.0\n",
       "4    198.0\n",
       "Name: turned, dtype: float64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sp_turning_days_totals"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### Ta-dah! Tuesdays really are a magic day! Off to start a hedge fund....\n",
    "#### (please don't actually go and start a hedge fund)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Try this:\n",
    "\n",
    " - What about 2 days down, then 1 up? Is the pattern the same? 4 days?\n",
    " - Is the day after a Turning Tuesday usually good? Or not?\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What Next?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a reasonable introduction to pandas, but it really does take practice. In the years since pandas was released the \"DataFrame\" idiom, originally taken from the R language (and maybe 'S' before that) has become even more ingrained in data tooling. In fact, it's been borrowed for frameworks meant to scale beyond a single machine, like Spark, or dask in the PyData world:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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P9mzv3Oxxxx0KXDXc9u5Mp6mu+rqnq7ra4w8EQ+QhohD/SSx0ED4QOSjlOBDI2E37hj5H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W40u4MdmyI9zkoX8o12HGw91spGZFyzmmfxarPGIztOQfExFkf3eygy7nvLWdl5Xd3vD9u/YvXI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\nBdPs937fw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YxMnbZZPtRlrfSoGPEsszyfHmWh\nPMNYq8jKskSUPMJpLYDaJ9EzPfhBTJ4hrZklqmdm/h5GO1vVPxFtZjT+Z1UHr35RYamXQx97w1xz\niVIm1cucWdYNdMz5nRFgBBgBQsC/uQFKgZ9ZAgHSPtcrs3r1Gv2n53ecRs0rT726dbDo0PaOduKO\ndneJP//c7Taa63BTpjwqGjVuIu6Sm0mY4ITpsoOVhDDx8pKWjq1XDXgv+WSksElJyZvVKFMO+c/K\nnRqSZQ5sUEKJCn/Ll6+wysqVHyysWLmM0H5R9n2rOlv56fwws1jlgNIE8XCUWe9/efO45+1WeETh\nl6id7Wg0irJkpDT/++8/MWHipJgiXXHF5TG/w/ih9/Uw0qM0PvjwI3HLrc0Uj/rxp5/Im5/pjIDe\n3jpvSOdiOWbvZmx1TEB+DGvspXwS8S0Kx8+MiUBGHAsTIZUZy5yoThn1u461eT7/r7TKePc99ynZ\ndOiw4eK4gwXHRPULmy8lyo+/px0CYdJJ2KXW5wFQBiKnj7XZde5NWCR6Qj4kjAoUKBAjayWKG8V3\nnWdFkb6fNMNYq8jKskSUPEJfC/BLn+nND3h8TNzr9HY2r/kkjm0fIhFtZjT+Z18T91+iwlIvgT72\n6v5B36OUSfUyZ5Z1g6B4cnxGgBHImgjw1R5Zs1091QpGSaAhaHYvzZwlbr+9jTQBns/8yfNvaLXP\nmztbFC5UWJARlBMnjkuT8QfFj9JSxIwXXhQffPChSneDNAVZv+FNYs2q5aJIkSKe87KLUKxYMbtP\nofr379dXtJW4HZeWL5wc6g+BhJ0zAklyM5doMEledZGdXYGCBZTFiINSEShf/uD9Eljqwu1pp57m\nG96iRYqq03SHDoarpOS7QFrEtOr7WpaOr2ErcjlmFtLHzFDmRO2ckWk0pGayTGb37t2Gtamrr7pK\nvDp7llq0xSkRCPsZ3emCt75Qn9HLndXLl53G5ijGXqKPRHyLwvGTEWAEshYCQRfbo+RLWQvpzF2b\noHSSuWufPUqfJ28eAcusxeV1t+ziEQhjrSIryxLMI+JphsfHeEzc+oS55uOGNrMy/wsTS7ftFyQc\ny6RB0OO4jAAjkF0QyN67ktmllRPU80+5yTJr1isqVI0a18t7LM9Wv3Elx+dffCGqV6uWIAV3n8+Q\n98LS3ZkUA1fFVqhwjmjQoL5YJk/Dd+t+t/qEe+2efmaaGDL4AQqaaZ5FixYJVQEk01Q8ooKCNr7d\n9GVEqWeuZEvIBZZ3Nq7PkIXu07unwB87RiCjIpBdaRRXd5G7sWED4+RbdldMI0z46Q+B7DQ2Z+Sx\n11/rcSxGgBHI7AgwX8rsLcjlZwSklStp0RGm2dkxAoxAeAjw+BgellGmxPwvSnQ5bUaAEWAEGIEo\nEGBFiihQzWRpvvPOu0aJ295+myhTprShWDFn7nxxbdWqAma3groTJ5wtNGCD56knH1dmTpHXy6/M\nFnfe2VadwDfnDfOnOGW7b98+8Z88VYuT9PnlCf1ChQqJ006LPVWPsCj/cWkBgtxRaU6VTKhCU9bs\njhw5Inbu2iUOHzqsLGjkyXOatIqQXxQrVjShycVj/x0zJ5fwN8py7NhxKUznNsLizrhffvlFHDly\nVFx44QUiV65Uk5kIBGWTvXv3icNHDqs6A4OCBQtKKxenG2nQC9KHJRC0AWnkI/0ffvjRuJu3ePFi\nApZDdLd//37xxx9/iH+laXjgWqJECVHQhRUN3GW5a9ef4tDhQwovxINA49cdPfqvPDl9irSeYM2y\nUM7du/9S+SXlTJK0kF+e6igWRwte8wdubunMT9p//LFT7N23V+Q8Jacqc6lSZ9jWkdKHiTzZlDG0\nQt/wVLS7c6f4+59/lHd+aVGmiLQWYUcX6D/kTgqZsHTAW6dFnFyH0/Hfs2eP+H3HDgG86V5nbNgi\njFWfQnzyB+39/vsOgz6KSbpzuu4CdUYfhhk4SgPpmR3KqdM42s9r30eaQegX/RI0A1yBPepFPOm4\n7ONBHdr3t99+90XrwHGH7M+oH/jB6bKfoG/mzRvdNR2EB3gIrAmUOrOUKx4CnHT+g7iFChUUJaX2\nndkcoJd2TkSjyNfc/gULFBROfZP6B+JSH0Eav//+u+Kd6CNF5dgRhAcibXIYm/bu2StpzJkvAxf0\nF72P504ZY1DmRP2J8tOf4A1//LFDHJD1Q5sUkYqDXuvlduxCGYEnriYhR1iDlmkso294Rsmzkb5O\nz27b1UxzKOO2bT9Li1z/iHLlyqpxG2nDqT4q+SrwRfqg+VKlSiV/lP8jLbQp0ZnxIeXlwIG/Ff/B\n2Iv4mLvA8lXhwoXNQdVvK94K/rJn7x71HTxC52HmROzGZvI3hzf/dqJBHWsvvAP4+hlbzWUz/wZW\nVmOvXwxRTj/jk46LWxo010X/TX0KfkRXyANjBcYJL3M/xMuo81K9b6GuhQoWEqVLnxU3nuCb2elj\nghkPXbYwx3P7G7Tw62+/qbEHcZzmbVZpuh0TrOLqfla0oH/X36mPE83gm7kvoF4/bdkiYKksKZfk\nZymY6+nocxqnMQVpmeUY5Ld9+6/GXBJjtZs2hbzw11+71fhMcwucwtPropcxinfUBxjSvBAWGjF/\nRRtYjW12ZQAGVnyJwnuRCSiO26feduBFXmQv1R89zkfN9IVyehmv9Hq5nV/qcehd5wcYwxLJuOY2\n8iIDuaUTK2yovPoT9KXLSfo3vCO/qORepA+al5AlpHHq77DuqcujSMONU/SVMpdCeOI9ZvnBKi29\nfc38HuGteF9Q3on6Ig264gP5EAZO8ySEg3NqV8UDfK5pJadu/b+OU6J+YIUP4ruRk4CDLsfYrVVY\nlzIZG/B2L7IE0jLXL5EsaJe/lT/qFFY/Q1pexxKvsoJeB+pD+rwjz2l5lJxMFmT18F7fwdOxNobx\nPr9ce4X8TesoXtMy816Kb8Uv/Y4llKbVM+y+R/1In6tYrcfpZQkTT6TrpU5uaRPhzPxPrwO9e5V/\nCC/EJ8z8yjdB+gyV3+sT/TrImosXPoOwXmVSL7Rgrjut53qZD5nT8Nsmqtwu18rNeeJ32H2K8lDz\nFo/zYqJxom+klYgnUH5WT7+YWqXFfoxAVkbAelcyK9eY6xaDAJjvyy/PVn7YRL/yyiuksFlQnFux\novhBXrmxevUasWPHH+Kss86MiRfVjwb164lLL71EfPnlV+LgwYNi3br1on27O43sUN6Fi14X/foP\nNPzMLw+NHiXatr1NTQYwWWpya3MB6xrk4Hd15arqZ/ny5cSKZUuNCToWVp55dpp48qlnKHjMExg9\n9ugUcf111WP8g/yAYNe6TVvxyaefignjx4o2rVsJXKsy/MGRKlnkuX7tKmOz5b333hcDBg6KqZOe\nf4e72ou+fXrHbJzD2gfu4YVb/tYS8ZfcBG97Rzs9mnpvdNONYsojDythc+Kkyaoc5kCdOnYQ/fr2\nNq7b0L/v+vNP8fjjT1rGg7WTEcOHiYoVK+hREr4rGujQSYVbLa97Oe/cc404aNeHHhqnrJkYntpL\n7149RdcunSzLqgWLe/VKZ3EJJPBAewweMkxtyulBIYBOlfhXlP3Pym3btk3UqFlHfXpc0mGTJrcY\nwbApN/2558WUqY8afvpL40Y3iUEPDFSKUvCfM3eeoiM9zLDhIwT+4GY8N03Uq1tHLXJUrXa98gPt\nlC9fTowdN8Fo4yqVrxZz58wWj8l2R95nlykjVixfaok5+t6khx8Rjz/xpEpP/w8mTYcPGyKqVr1G\n95Ybjql1Hj1qRAw/0APiaqBWbW5XXjjZA57lpe8jYhD6/errr8XoMWONK4r0sg0c0F+0btVSwHSh\nX4cFnaefeVY88eTTlkn07dNLdOncyVIpAkIKeArazcr16N5NdO/WxXaz1SpOIr9vv90sHhw5yhIP\n8Kjeve5Xim9W6Wzduk2MnzDRsl+jj4x9aLRocsvNnnn8lKmPOdLoDrno+tTTzxq0rZcN+Q4eNFDc\n1qa1IYzT9wcGDxHz5i1QG85L3nxdzJUKiJMenkyfjSd44JTJDyslL8PTw4sd30AS6N89779XVKpU\nyUhR5/vkqfdxp/5E4ekJYf6lmTPFGMlvzQ5j9rixY4xx1PydfnsZu0CzjW++Vc1DKD6etzZrYfxE\nP0fecFHzbMxJxowdZ0nP4F39+/URtWrVVGXR/yOaq1untuKpGze+I3r27mvw/kUL54urrrxSlR/K\nozTu62mgjg9PnCBeW7hIPDttukBa06c9E6NUhj4zdvwEsWLFSj2q8Y45y6iRI5QFMPLUeevkhyeK\nyy67VHTs2MVybjF1ymTRrOmtFFU9rcZmtEP3HveIlatWx4S1+2FFg0F4h10fSTS22pWP/HWs9LFX\n9/eCode5KcrhlwapDlZPvZ9hPjFs6GAxYsQosWTpW3HBMU706d3LclPLS9+mhHX+FOW8FLzrldmz\nxYiRoylr45loTu80J7jl5sZi6JBBokhh/1cQYqNg/oLXbGWaVq1aiF7336+UA4xCay929I4gVmOC\nFtXylcYys9yhB0Yf79ylu1i7bl0MLzL3hSpVKktZrF0cP0HaCxfMU0pkuqyj5wGe9/STTxjzVXwz\n0wsUfTp07KxHU+9I/3k5f73iisvjvn308Sdi0KAhceMKAoJHPDRmlLhV9gMsJkfpvvjiS3Fzk6Yx\nWQDPcyomj9/dunZxZZFRx1znS0jYq0wQU5gEP9JjPqrX1QuvNVfFy/zSHNeJH9jJuCtXrhKdu3ZX\nSc188Xnx8SefupaB3NKJjo3VmEr1MMtJNH/C96jnUMhj3vwFBq8bNmSw6CLlcysHvggLpTSPwDrN\nBRecbxU0zi9qfr/0rWVi5Kgx6uCJvjYThHdiHahp85ZqjG/duqWYOH6cgLXYBg0bqbki5Gqsf9ht\nJmPe+OJLMxUW+rw4qjUtP/2A8IFirhc5ye1aRRwhpHjocxw9jJ0sgTB+ZUE9fbv3sPuZWx5B5fEj\nK1BcPKGUvVEewBs8eGjc2I7vmCfee0+POAvE+JbIrV6zVvQf8IAhH+nhMTbfflubGLlH/271rvNF\nfXzU/YOMJVZ5kl8UfQ9KR27W42iDOmw8vdbJLW1a8T9S1iE8/cg/et8PIt8E7TNUBy/PoGsuXvmM\nV5nUKy1Y1d3PmjCl47dNgs6Lw+5TVB/Qqp91Wq88gfKzevrF1Cot9mMEsgMCrEiRHVrZoY6bv/tO\nbeAjSN26tdXJUkxemjVrKiZMnKSUGdbIiW27dnc4pBLeJ1hdaN0yWZhEqjg1RA6CNRQooEjh5IYM\nGy727d8n7rv3HnUyTleiMMeD1h1OeEI4xaSgUeMmloIBxcOgDwUE3DEf1pUnmOwgb3JPPPmU2mym\n3/oTG3T9Bz6ge8W9v/DiS2LTpk1izquvGBt++oS04U2N4+KQBxYI6PSYHW4znn9B/HPwHzFh3NiY\nxcbNm78T9RveREnFPTds2Chq160vFi96zXKBMy5CisfBQ4eMT0cOHzHev//hB1G3XkPjt9ULNvax\ncTVv7mwDC6twup8fOtPjO70j7UemPCoefexxy2BQHurSrYflN7Pn/v0HDC8sajZv2VqgDewcNkbe\nl8oGS+VGL044oz2c3NatW9XnQ9IqCzmcEBjRYXTMZmL+/Kerz7vl6T44tBdo2srd0e4uK2/l97Wk\nWShCQJkIm9VWLoeQx5hsHBaddIdTsXY0jHB638fvIPS7Zu06ywV9pAsHXoo/vw6LOi1b3eZYn8mP\nTBXz578mli5ZbChdIT/wrFatb7fcOKDyQEEDC5zoJ1CiC+reXLJU3HPv/bbJgEdhU2T5W2/GXYOk\nL/RaJYA+0rNXH/Hue+8pHuSlnZ1oFIow4P92DvkOGTpcLFq0WMya+UKMolDePMkWPWC9h5T0rNJB\nn2sqFQHsFI2s4sAP/elBubk56+VX7IKojU/08WnPPCUaSutOFM82gocPEPBatr5NLfJaRcMChxN2\niON17LLKx+wHfgoXJc9G+lBg6N2nH14tHXhXe6ns1/P++5SCkL4JRzR31llnCWyomPk7TkNjDtKt\n+z1qY9IqA+BLYys2CWFBRh/Tkf9NjVKV6qzSwMJni1ZtFO1ZWRDp22+AVTTDr5dU/kiSljBukQpM\n5KzGZpymcBqHKC49qQ3pt1/eEebYSmWxe+pjrx7GC4Ze+BbyCEKDehnN76DVnEk5lffixW8I/Nk5\njBOwVIJNHp3+vPZtOjWjpxHVvBRzo9va3mnLu2hObzXv0BfbrTB5480lAn9+Hfh6IqUjKOjhD4om\nsExHzu+YQPHtnjSW2X2HPxa9t2/froKYeRHFc+oLwPymxreIylIJd/36tylKzBM8D3PatatXKCsH\n+OiWXpB+k6bN1cajrniNtrr3Pvvr5zDGg8/9Ji2DQH6M0m1JmV/b5fHZZ5+p0+i0IWIXTvfX+RLo\n3otMcOaZZ+pJOb5nhPmoE32h8FbjFfy9zi91/P3KCPpJ+nZ3dUQxLJ2VDOSWTvQEvchJFC/qORTl\no/MwbBrA6qiVcsCvv/5mKFFcfdVV4txz3cklacXvISft2buXqqWeQXgn+DksoML9Jde9YDGksLSw\nigMB4GeQZb///gdDcVgFTPkPdV4rZVA4KFxUqHCOeo9qTctvPyB8vMhJGF/crlWoSvv8T5+HBpEF\nE2UfRT9zyyPAy4LKCqB7KH7iz85hnrjo9cWW8r1dHOCCgx5QFLdzkL8//PAjAaVumkPahbXy18dH\n/bvfsURPw/weVd9zux4XBZ5+6uSWNq34nz72+pV/wpBvgvYZM224+R10zcUPn/Eik/qhBat6+10T\n9tsmQebFUfQpwgRjvN91Wrc8gfKye/rF1C499mcEsgMC0R65yA4IZvI6vvnmUqMGjW+6yVioqlO7\nluE/bfpzyoyX4RHxCxbXyH311ddqMQm/V8kTjroSxQMD+ytrEhvfXivmz31V4L5ucrOklQ0MmAUK\nFhBjRo0UD0+aEHPSHdrS0EIe0L+vcWUGNiJp4xWbFZisv71ujdiwfo2Y/uzTMVeMzJEKDRB0w3D6\nRG/gA4NjlChgIeK2Nq2U0ICy6UoUd7VvJ15fuEC8u/FttXkKLXByOHUFodvJ4cQTTjisW7NK3N0j\n+bQMwkNIJhywuPzOxvVyMXOlwClyclg43/7rr/RTmZDCYjU5nMxZMG+OivvKyzNjNmc7du5qqW1O\ncc1PffGUvmFCM3nyFPqpFhdeemGGaitsJMMSBTlY+lglLau4dX7ozG3a2OjUlSjQvtSG86RVB7+W\nTpYtW2FsXuFUHegdbbtqxVti4oTUE+SYrD3z7HTVz5vK08UIh5PU5ED3j059RIwf95C4/LLLlHdS\nyiYLftx2+50xShQ4OVOnTi2lUIPrSdw6nLJ8c/EiRbtm+kAf+Oijj90mZYRDP9Kdl74PE2h+6ffH\nH3+KUaLAaRvQIvrlW0vfUKcz9HJ5fcemBTZfqU8iPqzurF+7WoD34ZQGOYQBH0P/gINw2qVrjxgl\nigH9+yXTxsplijdSXNBG2zvaxyh10Tcvz88//yJGiQJ8BptAKCtoixwW0/r0HRCjdAPNarIqgnCg\nR/Be8CDQss7jsLm0VPYnL+1sR6PYGNAVAdTpdcn/wftBp3q+4Ceg0UT8HzjjFB3oAO1FDm303vsf\n0E9Xz2enPRejRIH+A76B8uE6LCyekusqT/F9KTeh4C666EKlmISTyeTwjrEPffyC8xOf8AMtwRID\npYl0evW8X9EQ6ob80U5ODnX2OnZBqRK0Ax6F+pLDojqsJj3x2FRx8cUXKe8oeTYUEHQlCpzgxKlS\nYD/7lVkx8w7wdpye0x3RHDYNdCUKWLHoJK074colKNfhNDI50M4auYFo7t/4jn56SFMuBH94QJ6w\nJkflQ9tg3Nb5A+K+/fYGCmr51OOD9unaJgSGlSqYwyRnNTbDJP39992r6As0pv/hRBjaT3cXXpC6\nORyEd0Q1tupldfvuBkMvfCsoDbotN4Uj/of5r9XcTx+L/PRtysfqGea8FLwLfZd4lz6egLZ1vmKe\nd2Ahs1Pn1Dk1MJk0Ybzq98DkweFDrYrvye/xJ54yNgsREeMMxkr03eemPxvL1+UcABv95PyOCRQ/\nyFOXWXReZJUmZIGFr81TdQIvJ4e6kBJF925dDX4Ha1PkMEcA7Ts5Ggs/fP8dZfFHH4ugWEoO8uDE\niQ/TT9X2kFFA468tmCtwtSQ5WE3DyawoHSzzwYoT5FO9zLAmALmr3Z13xCiqey2LV5nAbfoZbT7q\nhtdS3fzMLyluEBmB0tCfoFs3MlDYdGKWk6hMUc6hKA88z5cW02gOgLHDbp3i/Q9S58i3397G1cZp\nWvJ7WGz14+x4p+6PdDG3whwYfIAcTsJauU2bvjHkwzbyEALGKrgo1rTC7geJ5CTg4Hatwgob+HmR\nJaKQBfVyRdHP3PKIMGQFne5pnghZaJVcT8CaLDmM3V3lnAVrEG7crFmvxChRQGbG2GxOF8qQL7zw\nkpskPYfxMpYkSjyKvoc83a7HRYGnnzq5pU0r/kcYhy3/EN26kW/C6DNUD7fPMNZc/PAZLzKpH1pw\nqr/b+RDSCNImQebFUfQp1CfoOq1bnoC87FwQTO3SZH9GIFsgIBk2u2yKwL59+05efmXlk2XKnnOy\n8jXVTuI3OXmq8GSjm5uob/guN4/ok+unXHA/Wa/BjSoN5KOn75SIPAlv5CvNtp6Ud3ap4IOHDjP8\n3333vbgkEK79XZ1s85MmzdU31FUu/sXER1lr16lvxJULLjHf8UPeBWjghXLJwc8IIxfxjbIBr0R/\n8rS2US8dJ4rXt/+Ak3v37jXSx4s8qWmkO236jJhv9OO5Gc8bYaRJNfI+aS6fPHVofMOL3BQ8KU95\nG3HPv/CSk9LiQ1yYTp27GmH09OV1A4b/Q2PHG3WjBOQgfVIuVBth5DUQ9CnhUy875Yn2o/YCZlbt\ntXz5CiM/aY4+YT4UICidUTrmp05jKLMVBmgHOUE1yo1wL700y0hK7xu6v15meTLFCE8verwaNWuf\nRP8m98sv24385CkD8jaeelyiz5kzX45JA4Gpf5n7ut5+iG9Fu6APnf6at2h1En5wev56ndVH7T89\nH6IT+kxls+r7CBOEfilt1O3O9h1Oop3NTqdFhNP5mjms+feGje8Y7QNst2zZag5y8ptvvo0JI+9d\nVWH0uMj3f//7LC7uz7/8YvA1hNEx1nmTucxUb729wYObNmtplGXxG2/G5bdr158xfVeeEDTCyA1l\nIy7SkSb4jG/0Ik8mGGF0OsF3KpNdO9N3vcyIp+db/bobTqKMZvf2ho1GvsBJpzFKF/52OOs08Njj\nT5iTt/0N3kbp4jn71TlxYcEPaexDGPP4pKdhFT8uQc1D739IW27Ea1+TXw8cOBDT7gin4xNk7EIO\n8roKA4Pvvv8+Ln+d//mZG8QlmOJhngdhXCa+pMcBL0ed8WemLTNtgL6k8pURXee/iC9PXBnf6EWe\nkDPSRxi9L+rtA/5jVb733//AiK/3bz0u0rWqH2hLn8f9sXMnFStmXqG3txHA9AJ+cnvbO42yvDL7\nVSNEEN4RxthqFMTmRccqTAyRHdGIFd8KgwZtqqS8dR4PGkAZMNc1Oyojwrzz7rvG5yB9Wx+zkW7Y\n81Kd7tHv9u3fb5SbXl6dM9egR3080cuGPo1+anZbtqTKKii/ue+bw+u/dZ6MuFLZV/+s3sFX9Xku\n8QZzXCuenmhMoPY0l9nOXy+cTjN2vAh1GjrswRg5CWnMmTPPwBth3lq2XE9avT//w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FkB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\nIAESIAESIAESIAESIAESIAESIAESIAESCAEBG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1cRnHtGjcvo9f9gV9qVDpeZ98W9T/1t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\nAQIECBAgQIAAAQIECBAgcBYYA2QFwfvrvZsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "from IPython.display import Image\n",
    "Image(filename='img/spark_dataframe.png') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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q8v885/8993ve8547d+69c+fO+32f5/F4v2fuzJmzPM/+ep1lvoceeuiRoJGABCQgAQlI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\n34SdJXVRSMkz0pHBW1Ra8QzBThQq8rvIRD/i0s9oh3SgfJE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B4WCpcgAFwlvf+tZsr80o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\neEMdvKvINy+88EIqd7TDzcrA3Iw5WhEqUg7igQ8jU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49hIACHfpKJfNm4rzPGNt1m4rxV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UMIp4Y6m/zzlYYpRmgjOMqMt2223XrxMTDmu3Ye9yn/pgTDbhDH4oDUy2jFAkcCQMw81/HBRh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i3aOz+4tHvaHGFOWW3Slxe9l7yzQHmlzVxzzTWz/g+XJBiACZRBZgfRR5YFjMNm8MQtD+2K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\nTgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import Image\n",
    "Image(filename='img/dask_dataframe.png') "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, it's worth learning your way around pandas, since current and future library authors want to leverage that knowledge to incentivize users to try out their new data tool."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Thanks for listening!!!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Send me your thoughts via electrons:\n",
    "\n",
    "### @talumbau\n",
    "  \n",
    "### tj.alumbaugh@continuum.io"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}