Created
July 15, 2016 05:27
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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"import time\n", | |
"from IPython.display import clear_output\n", | |
"\n", | |
"import pandas as pd\n", | |
"\n", | |
"import matplotlib\n", | |
"import matplotlib.pyplot as plt\n", | |
"\n", | |
"import numpy as np\n", | |
"\n", | |
"from pandas import Series, DataFrame, Panel\n", | |
"\n", | |
"\n", | |
"%matplotlib inline" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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GGRqgjVlUlRWgVVMvy7Bx1Pga0KU2Dp3EsQK0ExPiYpcDv7GUvUswzlXZb9gg\nxjs+HjYeVdlnEWYW2dNnuos1S9mHdr1Ug7M09pjKno5LT48gItXKcQnQuij7LBvHNUBrapfg69nr\nbJxYAVqgoe5VlJln7zItYRWUve7prettnDyN0ABBnmNjrV52SmUfGqDt7zdfQC7wsXHk6lkCkYJs\n44Qqe5/9q1P2sVsNy/tGR/YuNo6Lsp+dTRugdW2XYLJxYgVoAbNvX1aefTv1xjEp+66ycWLn2W/a\nJMhEPoliKPuVFf08m6GN0GhbsgJfNszPt5J9Hhsn1LP39dtNNk5MZS+T/fBwq/3gE6ANVfZFBWhd\nbJy8nj1gFiZF5Nm7BGhd56Ato6hKnmSIUGkbhzE2xBj7JmPsacbYk4yxNzHGRhhj9zHG9jPG7mWM\nDdmX1ECKoqojR5pP1BhEcvy4IPzQbBxdbxxS9qFkr3r2JktichK47TbgvPOa31dtHN9snFAbx6Ts\nU5F9XmVvInuqTs0i+zICtCYbJ49nD+iFCU37ODTkl2e/vGwvXCLkUfYpWhwDcQK0Vbdx/grA9zjn\nFwO4AsAzAD4F4H7O+Q4ADwC4yWeB8k7t7c0uMXe1ccbH4yv7sTH95AxygNbXsy/Cxnn2WeCqq4Cz\nzgK++MXmz3TKXufZt2OA1ofsQ1MviYBcBIAJFDwOraAtKs8e0J+rx4+Lp2n1GnBdvmmKURk6spf7\n9wN+RVWxbJwYAdpK2jiMsU0A3so5vwMAOOdLnPMTAK4DcOfq1+4EcL3PctWdmnXCuCr7lZX4nv3Y\nmEjjy/Jnbdk4am+cvDaOjuzl7ZyeBn7lV4BPfAL48pdbb5Sunn3s1Eu146Vu7Hmhkr1q48QI0JIq\ny2PjkKrv0VyZvr1xTJ69b549ZTKp54vuXCULR12vDa5+PaC3O5aWxI1CFoqu7RJitTjOG6Ctso1z\nLoAxxtgdjLHHGGNfYYytA7CNcz4KAJzzwwBOzVyKAh3ZZ9kGLsoeSKPszzgjblFVXmWvevYqcR07\nJsbxkY/of6/LxlHVSoqiKlM2TiplPzwcpuzJJjMpe7pQ8wRodZWVhNB2CTobx8ezpxuhegPSnasU\nnAX8lb0r2euUvfrk0Y4B2irPQdsH4HUA/oZz/joAMxAWjlpm4TUzY2xlT1WisT17E9nnKapKoexl\nwrTdHPPaOO3u2dNTSZayHx42K3u6UPN49joSIMToehmSZ687f4H4yt4l7RLQN0JTBZWrZx+zgrbq\nefYZw7cmwwCMAAAgAElEQVTiZQAvcc5/tPr6WxBkP8oY28Y5H2WMnQbgiGkBu3bt+sXfO3fuxM6d\nO6OTPWNC3adQ9qef3jw2eeKVkKKqGJ59VlGVbX+R3zszI8g3tF1CrGyclJ79k082f+4aoB0eBk6c\n0H9us3FcPHsfZa8jH10/e10Frc8N2UTE27aJpzL5mg1V9j42jq4RmvpkENvGccnGyUrJVeGTZ797\n927s3r3bfeEGBJP9Kpm/xBi7kHP+LIBrADy5+u9GALcA+CAA48yqMtkTdAcjS0maVJAMlexjKPvx\ncUHM8omyvCyeImgC4hBlT426XG5kKmxFVS7Kfn5e2DjnnhsWoN2wwd8PHhsrPvXSZOPYUi+Hh81P\nXpROJ+8fqobu6XEjP1dlv7SkP5a9vWJd09PNZL+4KMYSEqA1Kfv+fmDLFkH4Z5wh3pPJ3ifP3pfs\ndco+xMbxCdDaWhybWj7r4BOgJSFMuPnmm91XJCGPsgeAjwP4B8ZYP4DnAXwIQC+A/8kY+zCAnwN4\nr88CfTx7V0LcuLH5RIil7N/4xuaT2ZQ26qPse3sF4b/yCnD22X5j0uXZ64LAJrjYOK6pl66qfHJS\nrMeWmpoXNhuHxu6i7GdmxE1KzRyZmxOZKPL+8UklBrKVvWwVLC6avzc4KIiHlCOJj8XFsACtiewB\nYeUcPNgg+1Abx8ez19kdrjaOrl3C8rL+eKq/i2njlJFnn4vsOedPALhS89HbQpfpY+PQBWrDpk2t\nNk6sbBygYd3IpdihRVVAI9fel+xt2TghZC+fwJSVETNAqwvOAmIZPgEvoNHcTXfRxkq9XLu2MTb1\nmM7NCWEhP86HkH2WsrdV0AINspfPeVq3HKDN69kDrXUhx46JGwCt03UdPp69S4DWdNNW2yVQBo9N\nubvYOHnz7GlCmZUVfTZWXlS6ghawe/a2bBxAb+PEUPZbtzaPTx47PcJSoY2rsgcaaskXtqIqm41D\nXqipqMqURy5vg2/qpS7tEghT9tdfDzz6qP4znwpaW13HunX6IO3sbOscAGpjP5cAbZ5sHPrexETz\nOUe/TaXsCUV49nkCtDrSduGDIrJxGDNPzBIDlSN7NfCU5fv52DgpArRbtzYvS35E7OlpEFaosveF\nLRvHRdln5dnLRGNav2+AVhecBcICtEePClvINLa8FbT0nfXr9cE4k43j2tgPyB+gBVptHKBxLGN6\n9kDruVqEjWMK0IZ49oAbH6SwcXRV0imtnMqRva+N46rsU6ReZil7oHEShSj7WGQvr8Nme9k8+7k5\ncROLaeOYyD5E2dP0kzrI+4asFlPMhDxc0zJMyp7I3iWOY4JPgDbLxpmZaVX2so3jS/YmIlbP1aKy\ncWzKPsvGkT17wG1fpLBxdMc5ZcuESpK9fBLHCtDGVPbLyyL9Tm32ZLpR6S6WLD89NP3SVlRls73k\noiqdZz83J+ydmO0SYir76Wk3YdDTI3q3yCmUdCNkTHyum1PApuzJxkkVoPWxcYBWz162cWJ69vK5\nSrNU0TqLyrOvgrL3raDVkX3KlgmVJPuYefaA8GjlR6a8yn5iQixT7f+hBn/UoJgMdQyy6g4l+7w2\njpxnL/ezJ5U7Py9unDHbJWSRfSplD7SmX8r7xvRUQctYv96s7Gn/0D5Tyd5GKrYArQvZE8nrbJxQ\nZZ/l2ZOyX1oCDh8uJ89e59m75NkDbgkbKYqqirZx8qZeRkcKG+cTn2jO0Mir7MfGRH4xLUtW9rqO\nej69cQDg1a8GfvpT/3HZiqpc8+xJXVLONt3EiMxeecW8/pBsnCuuaH3f18ahtELXc0X17eWnHhNR\n0DHKsnEoW4eeUHVB+yycPNk8F68MX7LX2TgpPHsSJrfeKo7l6aeL1z559jHaJag2TpEBWh8bh3Oz\nZ5/Sxqk82ccI0MYu2JEnx5bVmu5GRf3fVZJVUwvl75xzjiDBLP9WB1tRlUuAdna2YePQNiwsiGXN\nzwvFv7KiTw+L6dn72jjT0+J/V2UvN0Oj9dCN2kXZm2wc2SJRyd7Vxtm+Xf+ZT4BW/p/WnSIbZ8sW\nsS8OHAD+638FHn64IaxSe/ZybrxrUZXOsy/axpmfb8SHVHS9jWPL/vBFDGUvk32WZz89Lf5Xc7+z\nArS9vcD554t2xD6IUVR14kSjtF/dProgTfuPbli+2TgxUi+npsT/rspetnHU/ZJX2atPe0UHaKlV\nsLy9ujz7GGTPmFDyH/gA8Lu/C+zY0bzOFHn2PT2tIjC0XQLgduOzdb30sXGyjnGdjZMzz15FbGVv\n8uz7+wUJ6U7iLLIHxEXzzDN+43LJxrHl2Y+PNwcI5ZOYLnrTMQmxcWIpeyJ7H8+eArSqaDARhU3Z\n083Q9LTn6tlnVdBS0Y3NxhkcbBYYujz7GAFaQFg5J04ANykzV6RS9kBrkDa0XQIQR9n72Dim4CzQ\n5TZOjACtiiKV/eSk/iS2kf1FFwH797uPaWWlVe2F2Dg6svdR9j7ZOJzHS70kG8dH2ZONo4oG07qp\n909WUZW6f3w9+6wArdxzyUb2qh+cKkALADfcAPzSL7We577WBsXBXEBB2k2bxGu58Rvg3i4BiBeg\ndd1WU3AW6HIbx9YIrWxlbyqqAsTYQpX9RRf5KXsiLFnNhbQ4Hh9vnptWVix00ZuOia9nPzUlxqgj\ntyKUvUz2rjaOLRtn7VqzAHC1cUzKHmgcDxdlLyNVURUAfOxjwFve0vp+SmWvBmmnpxtzVwDu7RKA\neAHaGDZOyp72lSf7GHn2KuhE1xXOuGB83E3Zk40Toux9bRwdkYf0xjl+3K7sTcfEN/XSpOp1Y7ch\nxLM3kX1WgNaWZ5+l7PP2xgEapGLLs1fPuVTtErKQKs8eaLVxqMUHwdfGKVLZZ9k469b5tUr2QVuQ\nfWwbp6enkVIYAjn10mbj5CH7Z5/VF/fooAZnaR2+efacmz17WxMtX88+i+yrrOxdArShZO+i7Ins\ns7JxXGwcuR4gC0WRva+yl71tVdmn6I1ja3Ecw8bpemUf28YB8vn2rgFa8uxDbJxNmwQhvfxy473P\nfQ546in9mNQceyDMxgGaFZK8faQKTcfEpeWADBvZp/Tsh4YaZO8ToLX1xlH3j+rZ5wnQAg2yt7VL\nyLJxBgcbgsdFTISSfao8e8Cu7LOycXxTLznX/05GbeMEoAhlD+Rrc6x69llFVaHKHmi2chYWgD/9\n09YZlgixbBygmWxkz9419TKr5YAMU9qlbuw2TE2JG2RINo4aoDXdaGypl1WxcXRkL9s4RNyuN9S8\nZO/y9JBX2VN7a0JWnr2vjUM1JVlth31tHJOy72obJ0WAFvBLPVPhU1RlCtC6ELGckbN7t3hKMM1/\nqtsXqh1hq0vQkb2q7F1sHFq3jUhi2zhbtmSfK/K22zz70NRLNc9etltUQti7F9izp3kZPjZOlmdv\ns3GA9GTf25vdRVSGr2evC9CGevY2LrD59YC/jVOGsq9c6qXqRaYI0ALhNs7ioiCW4eHG+FJ49kBz\nRs53viN+Y7rr6zx7XVGVLc8eMNs4OptChrwNtH1ZF3BMZT89bSf7vAFauRGaybO35dnL4/vGN8T3\nXvta8ZrzbD8XCFf2cjU3HRPXa8CXiNX1UgW2bR1F2Ti+yt6F7Ht7xROty3dtefa1jaNBHrIPTb+k\nFq70SJenqMoWPCUbh3PgnnuAd77TT9nHsHF0RVU2G4e2z7Z/TbNU0e9DlH3KAC0tw9fGkauR5f02\nMdHcn4dI1cUbtgVodTbO1JQYC6Xnplb2gLvi9fXsQwO0phbHeZU94L6tWTf0lDZO5ZS9GniqWoBW\nJShTaTzQCNDSNG0yXJX9/v3Aj38sCPh1rzOfCLoArc7GydpfRAQuRVVZFbSAmzKPnXq5davb5CWA\n2EYiTV2A1qbss2ycrACtvN9oYnmCza8H3AK0b3hDKzkNDAj7MWRehyLIvuzUy5hkbzuGtY2zihSN\n0HQIVfaHDjUmVwZaH9ljFVUBwKteJQjha18TU+6tWyeeLHQwKXuf1EuaFs1UVEUXZFaeva9nb7Jx\nQpT9hReKZeqg7h/GGj3tdQHaEGWvC2Bn2TjHj7eSfZZfT8uw2TiXXir+qb9TLcWqkX3MAG3RNg6N\nSfdkqU5mnhWg7XobR0csy8uNrI8QhCr7gweblXqqoipAbNsFFwBf/Spw3XVmrxgwe/Y+Ng4gxpoV\noDVl41B6mkz2NrKOnXrp49kDjfRL1wCtTdnLNo5LBa1q49iCs4BbBa3pd2oasOs1UFUbR54TeXk5\nvDdOahvn2muBH/6w8TpL2Xd1Nk5W061QCweIq+xTBWgBYeVs2AC86U1mkgHcs3Fs+0xH9nJRlSlA\nS9vu4wfHtnF8PHug4dv7VNC6FFW5BmhVsvexcXzJXtenqQhl75prnydAOzMj/HpZPft49jZlb+t4\nSTBx1YEDwEsvNV6XFaCtvI3jkvkRgjzKXn5EHhhoEHDMoirCpZcKBUo9ZLICtLaiKldln1VUZQrQ\nqr63jUhmZlqrdWWkSL3UkT3ZOK4VtCZlv7zceLLJaoQm7zfVxnFV9rYArQ66c7FqNo5v6iXZOKpf\nD/i3OI6h7HU2DueCM8bHG++VVUHbtmRfprJ/xzsar7MaofX3iwObR9n/4R82ipN8lb3vhOOAOGFD\niqp0hJm1fynQrfb5N43dBrJxQpS9a4CWljEwIC5ieZtp38idKQGzsudcrHtlpaE2fZS9rjjI9jvX\nwiMVvhaLjKzUaRl5GqGp2wWUG6CVcfy42DaV7GsbB+4B2rKU/aFD7p49kUseZS8XyNiUvUtvnBAb\nR1X2upNaXbaNrLMsHN3YZbz8MvDNbza/R9k4vsqe1LVLgFY+RuqxIAsHcLNxaFKbjRsblbyuyn5m\nptkyc0FZNo6Lsqf23D7iTbZxfJW9r42Th+xpykaZ7OsA7SpcA7R5yT5U2R886OfZA/mUvYwsZR8r\nQPvf/7tI3SPoPHtXGyfLhsnKxNGNXcYPfwj89V83Xi8tiTEOD8fz7LOycYDWYyEr0ywbZ2mpoepH\nRpqnR3RV9tPT/ud+lQO0tHyfm5fNxvFpl5DSxqHJ2OUsujr1chVF2Tghyn5pSeQqn3aafny6oiog\nn7KXkdezd9lnb3pT82sKMgPZ/ex9bZw8yn5yUthAhJkZcbFnzRaURfZ0AyPY8uyB1mMhqzWTAGCs\nQSwTE4Lo+/sbQVqX1MtQsqfYUhWVfUiFrqrs5YIqwN/GSansh4dblX1t46DYAK2vsh8dFb6wyWby\nUfYhfnpW6qWrjRNCErp2CXk9exvZZyn7yUlxLAjk2WZ1HvRJvcyycfIoe6CxP4ns5blwXW2cULKn\n3xPameyLDtC67G/dth46BFx2mX+ANnSujSxUnuxdqjVDYDvAOqhpl4C9qAqwK3s1R92EIgK0KnRF\nVSYbR/W9Uyr7EycaF/vUlFB2vtXWIQFa+p5645WnxbMJACL74eFwG8cnOEu/k/8HqkP2IQHgkAAt\n5+bUy5Q2zqWXuts4fX2ivia0SWMWKk/2WZ59XhvHV9mrBVU0vqyiKsDs2ROZLS3ZW6gC2TZOjEZo\nOuiKqkwB2tg2jun3ZCtRtSyRva+yDwnQ0vdCArT02cJCs2fvq+xnZsKVvXwuuliZS0vNzdN84ZJn\nH3IzsQVodecPtSpWYwOpbZzLL3e3cYB0Vk5bkH0KGyemss8boHUlYToJdI94KW0clwCta2ESIasJ\nmu331P+GrBy62Glc6v7RTcYOmPPsXZW9i42j6+JqsnFclP3AQLE2ztGjwrrMas5mW28Ksg+xcUyk\nnbKClpT9xEQjhdrW2TRVkLZyZK9eHBs3Ai++KIKip50G/P7vi/djBGh9lb2adglkB2hdbRxXEu7r\nE9+Te4IQTAHavDaOa1GVqzom2LJxbDYO0CB7UvaMZT91qIrOlI2jWzflw9Px1QVoXWwc2ncmGyeV\nsg+1cV55BTj9dL91yXDJs4+h7F0CtCbSTtkb5+BB4OyzxXGl8zbLxgG6iOzVHXvKKUIF7tkDfP3r\nwL33ivfLUPZq2iVgL6oC3JS967aYfHvXRmh5bJysdgm+FbR5A7RbtjQycojs1fHKY9Ntt0/qpXrD\n0Cl7k40jL9tm46RKvdQ9ZbqQ/eHDzdlnvkip7H1tHJ1fT99NoeyXl8U5evrp4nwdHxfv2WyxVDZO\n5VMvAdE/HhAXxnPPhfUGURGSemlT9qFFVb5kPzPTmPCckMrGoQCtbIXEqKDNG6C94IJWGwdo2E6y\n0rORvUuAVt0+nWcfko0TmnqpKlkbdOeiyzVw+HB+ZZ/axtEFaH1snFQVtKOjgrv6+xtkv22bEAVZ\nNQVdpexNhLRmDXDuuWJCjzLaJeiUfSzP3pWETUFal6KqkH1G5CkXvuTNs5+dFd/PIqysScunpoDz\nz2+1cQB9rr1puzdsEPtybs5uQanLUJW9bOPYzgnVsycbJ2WAlsjUV9m/8ko1lX1IgLZoG0cWh5s3\ni4wcW3AW6DKyz9qxl10G7NtXnrLPIvvQoqpYNk6MRmgqaPvkC1Lnw6pkmGXDkKrPUjdZk5aTsjfZ\nOKpvaiL7nh4xSfnYmL+yV1MvZRsnS9nTZ8ePNzx7nwBt0Xn27aDsdU86umOoa5UA2G2c0K6Xsjgk\nZW8LzgIVzsZhjPUwxh5jjN2z+nqEMXYfY2w/Y+xextiQz/JsZH/55YLsY+TZ+yj72VlxAFT7JLSo\nKrayt9k4lMvvm59NJ7DJpiC4FiYB9uCsvAzdMZqcbFb2srLzUfaAINyjR+1jV5dhs3Fclb1K9qlT\nL0MCtFVU9jbPnlIsZbFgah6XKvVSVvYy2bezsv8EgKek158CcD/nfAeABwDc5LMwF2W/d2+cPHsf\nZX/okFA4qhqNUVSVMkCrrsOn/wjQIE+5yjFvnr0t7VI3fgLnrWQfGqAF9GSfFaAl2Gwcnwpa2cZx\nUfZAvACti2efh+zLyrMHWs/B1KmXOhuHlL1s49iUfSXJnjF2FoBrAXxVevs6AHeu/n0ngOt9llmU\njeOr7HXBWSC8qIosipWVtJ79ykprO14fyDaOTdm7VtDagrPyMlTSnZ8XN6yzz9bbOLr0txCyV8fu\nouxdbBw5G0dOveTcXdkD/k9ovb3inxqg7QQbRxegBdzJPlWA1mTj2G7oVbVx/gLAHwKQw2jbOOej\nAMA5PwzA4YG9AduO3b5dKLvDh4tV9rrgLBAeoGWsoSBDsnFU6Dx72fcOtb3IA7fZOD6pl65kryPd\nqSnhs2/dKpTS8nJ+ZT8+bg/Q2pS9vH9sAmB6Wry/bp34bn+/OKYplT2NyydAy3kcG6eIPHsd2atP\naCbPvggbZ/NmcZ61ZYCWMfZuAKOc8z0AssyBzJY+3/wmsGtX47Vtx/b0iIq0xx+vhrKXH1NNRVWm\ncdIYUtk4QIMwQ20vU4A2j42TR9lPTgqy7+sTRD021urZ+yp7zv2Vva43jquyHx0Vip4sNaqidZ1w\nnNbhizVr/Dz76WkxRt80TxllBWiB1u0zefapbBxV2R875hagTUX2efLs3wLgPYyxawGsBbCRMfY1\nAIcZY9s456OMsdMAHDEtYNeuXXjoIaHSd+7ciZ07dzrt2MsuE8VV554bPvj+fr9HpSxln5V5QbMX\n6UBklipACzTUTR5l7xqg9cnGefWr7evWLWNysnFhb9smrJw8yn5oqLFNhL4++81MfdT2CdAS2RNG\nRsR7fX32cz+vslfJPovk8qp6WmcKsu/vF+f1/Lx4cs0SOoTUqZexArTqubV7927s3r3bPgALgsme\nc/5pAJ8GAMbYrwL4fc75v2OMfR7AjQBuAfBBAHeblrFr1y58+tPAY48BO3eau9KpuPxy4CtfKbZd\nwqFDwOtf3/q++sguj33tWv3jJSGmstd59rQOuqGE7C8K0NqUvc7GiZGNY1L2gCD70dH8nj0QR9m7\nBmiPHGmsFxBk//LLdhKg7VPH6wrVxrFdA3n9elpnihbHjInfjI+La0wnqNTzJ0+A1mV/y9s6O9uY\nKhPwt3HkiehJCBNuvvlm+2A0SJFn/zkAb2eM7QdwzeprIyYnGxtGRG/LGLnsMvF/ke0STMqeCJsq\nTOWTaWRE3MiyxuBL9iHK3ncdMlw9+1Q2jk7ZE9mfeqoge7WC1tezp22S12vz7PMEaI8caVb2w8Pi\n/LJZOEB4gJZ+62PjVFnZA+I3Y2NmQaWzcUyefWwbh3oKUSfbdrdxfgHO+YMAHlz9+xiAt7n+9sSJ\nBtm77lQi+6KVvY7sqfnW4qLeE3zVq8zLDFX2hw+3vq8L0ALxbBz5gsxL9nlSLylAC+htnFBlr1pQ\nOrLPUvYmG0ctyOnvFzco2cYaGRFkX4SyV8le11SPkDftktaZiuwHBwXZm2IKugBtahtnYkI4FCpf\nDA0JUTI11b7ZOLkhK3vXnToyIrywIpX9+LjIANGByM+3aCmU7H2UfV4bR+fZu6jn1AFaQJD9K680\ntxmIoexNNo78nVNOEURD51BeG8dV2ecJ0P7ZnwGXXNJ4bVP2MWycVHn2QLONo0PRefZXXSXSaD/0\nIdHDS07o6OkRx/zll9s0zz4GJicbecauZcmA8O3ztktwVfacN6tHFUQwptQuE9rBxuntbeSAx1D2\nZAkNOdRVmwK0so3z/PNin9DjcgzP3mTjyMsYHBTK7Wc/E699bBw1QEsk4KLse3oazeh8ce21fo3Q\nOs3GSa3st2wBHn5YnAsf/WirE7Bli9txrrSNkwcnToidOTPjp4w/9CF9KqQrfJT9/Lz4vukCk8m+\nCGXvE6CVbZwQZU+BsKkpP8/elI1z9Kh4QnKp5DUpezkb57nnmm/CRSl7ALjoItGU78ILs/Ps5d8N\nDIgLWc3Gob7nLqA5BfKiCGXvmmfvOy0h0LBxTGSv2jipWxwD4vr8xjeAL30JuPji5s9cyb5jWxxT\nQ/+JCbfUM8K/+Tf51utTVGWq0CMUSfZZyt7UlsE3vVPFwIA4Tlk2jq6CVqfoXDNxALOyJ7+byF5W\nnymVvY7s9+8Xf6uTl2Sl4wJ6slfJwYSiyL5W9tm/M4Ex4OMfb31/82bgkUe62MY5cUJc/MePu6c4\nxYBPUVWWhQM0fElT0YZtDEUUVeVpHEdkn2XjuFbQuvr1tAyVdNUArXpsQvPsbQFa3TJI2QOtNo6t\nqlr27IeHRfDOxcYBxHEIycZRUZSyTxmgHR83X5tFt0uwYcsWcf63XQVtLExOihYIExPxdqoLfJS9\nbbIIelQNVfY+RKxT9lm9b+SWDKHZS67KPjbZu3j2QLOy81X2tCybjaPbvzt2NJO9a4AWaFX2gFuA\nFoir7E3XwNKSSBV0PVYmpFb2WQFa13YJNhvHJ5aYBcq5b9sWx3lAaV+nnVY82fsqe1cbxydAGxI8\n1Sl7ullkFZbksXHIs48RoHVNu5THLkMm+8FB8XceZd/b25g9KGu9JmXva+Nkkb2rsqd+OnmRZV8c\nOZJvonFClWyc1C2ObaAZ97pS2dOFSz29q6rsbTZO0QFaVdnbyCyWjWNrhObSLsHXxslqlwAIopZf\n+yp7AHj66WZbxVXZn3qqIJCjR5uVPSlKXaEdLUNNvQTKUfYmkoth4QDF2DhVSb20gZR915L90FCj\np3dVlb2LjRPq2ftaLDobxxScBeLaOLKyX1honjLQdfKSvDaO7NkDgnDli91X2QPNKts0dt0yGBNW\nzk9+IlIi6djLhXYuyp6I38ezT032MYKzQPo8e59snKICtCZ0tY1z4kT7KPssG6fooqqTJ5uJNovM\niLhiKvveXkFuWVMepgrQyjYOEEfZq3BV9oCwcvbsab2AieR0ZM9Y8zasXy++46PsYwVoTddAOyh7\nshd9ArQ6W4pqSXRTYNLvahsnJ0jZl0H2MbNxiiyqIm9evoBcbJyYyp7GIY/BdfKSGKmXWWQfoux1\n63VR9kCD7NU88SxlPzzcKAIDxPEcGSnexslStDFaJQDuefahNg6Q37On72YFq4tU9mvWNNqvxEQl\nlH0ZNk67evZAa5DWVFAFhE2QokItqgJaL+IiUi9XVoSFJV/c//pfA+96V/O48ip71zx7QJD944+3\nkr3paY/IXsXwcPVsnHZQ9kB+GwfIvvEVrewZS6PuS1f2Zdo4sT37Isle9u2zPPsUNg7QerMsIvWS\nctFlVfzrvw788i83XusmHPd9qnFpcUzYsUMEeF1tnP7+1hgBUI6ytwVoYyn7lAFaIH+Alr6bpexj\n7G/XAC3QgWR/4kS5Nk5Mz76ooiqgNUhbhI3DefMFqV7ELu0SFhYEYeuUrQ6qwlaDs6axFqnsX/1q\nsW9cbZzt24Grr25dztVXu03oAoh5Fc47z+27Wci6BnxuyrZ1LC2Z/XAgv7LP6nqp2jgmm7UIZb9+\nvehPVBbZl9ougZQ9TctWVWXvYuMUFaAFWm0cG9nHaJcAZCt7XddLlTDHxoS66XGUGKoyU/16HXTK\nPkaA1rSMgQFB0jobZ2GhtSDn4ouBv/iL1uV84Qvu4/vMZ9y/m4Wsa0C1y0IhZyaZCD1k8hLAbuOo\n56DNxknt2TMGfPe7bt9NkZFTuo1Dyr6M1MuYFbRFBWiBVmWf5dnHsHHoosrqmOhi4/iqRZV0Xcg+\nRoDWR9kDwsrR2Thzc41J36uILBvHZfo8V2RZOVSLEPLUWaSNUxQvETrSxpE9+1hlyS7wVfZVaYQG\n6JV9Vp59DBsHaA3QZtk4JrJ3zcShZcik66rsY6Re2locy7joIr2NMztbPEn4oCiyz8q1J6Hi0gVV\nhUuA1iX1ksaY2sbxQceRPV2869aJHTozU01l75qNU0XPPlaAFshW9i6Tl8RQ9lnHgcaaysYx7b+L\nLtIr+5Mni2vsF4Iilb3pWgv16wFxg+3rs5/7hLJTL32QwsYpVXdQgJYx4duPjVUz9dJm44QWVYVO\nLBLq2VdB2fuQfUiANoayN9k4pmW8733AW9/a/F67KHvTNVCUjZOH7NesEdel6anAx8aplX1iyI/l\nIzEFHkoAABZuSURBVCOCDKra4thm48zNCf/Rx5+V2yXkSb205dmH3FBkuARoddk4KmG2i2fvq+zX\nrwcuuKD5vf7+6pO9ieA4d5sY2xUpyT7ruvTNszfd+Iq0lwkdR/ak7IEG2VdR2bvYOLOz4uTy8R7b\nxcaJFaD16XhJyyjDs/cN0OpANk6Vyd4keEg85O14SUhF9oOD2WTv2i6BvtvpNk5llP3wcLFkH7td\nQsiFXVSAtggbpyjPvkxl77OMdrFxdNfA7Gw8CwcoT9n7tEuobZzEoNRLQCj7Knr21N0x60IPfWQv\nsqgqb4CWsdZKUNp/nLdetLE8e98AbcpsHF9l3w5kr7sGYvr1gJ3sQ+afBYDzz29ulaHCx8apmrLv\nSLKni7doG6enJ7vTHYFUfZY9E6riiiiqCo0LyBgYEBekvA9ksqdtd1H2eVIvXStoU+TZ+y6jHWwc\nk5qN6dcD6ZT9eecB/+W/mD9v5wBtx9k48ow7Rds4VNln69ths3CAho3j63HG6o3j2ggtj42jXpDy\nvpNjL/J6y7Bxim5xbEI72zixlb0tzz6U7G3Q2Tjt4tl3nLKXCWJkRMw6U+RO3bhREEgWpqftZeNF\ne/bqXd+lqCpvgNbU1RHQk72uVH1ystH5zwUhAVq6mOXf1cpej6LIPlWevQ2xsnFqso8A+cIdGRGW\nSpE7dWhIEFUWXJR90Z69ruuli42TStkfP64ne5lIxsfFMfZJTQ1R9kCruq+VvR5V8eyLUva1jVMi\nVGUPFLtTh4fjkH3Rnr1vgDaWZy/DRdnLF49v2iUtQ1X2tmNB43Wd3EUHn8lLTGiHAG2WZ99tZG+z\ncYquhO5oZU9tb6um7G3Vs0B+z97XYvGdvCRGNk5esg9pmasqbJcALdCs7Gnib98Gdd2QZ9/TI/aN\nmqTQKWSv3rTLbnHsg44j+7KVvauNU0XP3nfykjw2zpo1/gHaGGQf4tmrY6Pt9il2i5VnX3Wyp3Ra\n9cbWKWQfU9nXNk5OqJ49UE2yT2XjFNkbJ7WyVyckUVWVb9ol0Hyxzs8LBepCDLKy9yVpWm83KHtA\nT3LdSPZ1gDYxqmDjHD+e/Z3UAdoYvXFcZ6oKJfuLLwb+5b9sfq9oG4dUvYtCl8klhOy7pYIW0Gfk\ndErqpS4bx9fG4dx/nooY6DiylwmCul9WTdkXlXrpQyS61MuU2TjnnAP8p//U/F7RNs7EhH7uVh3y\nKvveXvEUwXnjvU6soAX0JFeksg+dpcoFPu0STDYONTcsegKajrZxenoEYVSN7F1tnLm5ahdV5bFx\ndAhR9lu3+q1DVtjHj7uTfV5lT7NL0Y1meVkQv8/xbYd+9oBe2afojVNWnn3e1MsyOl4CHa7sAWHl\ntCvZA2HKfnHRf9KTgYGGWgfSz1RlGoOPsj92TMw/6wNV2btOVD4wkE/ZA80WAN2MfYK8tY3TQJme\nfd7eOGX49UAHkr2aWTEyUqwS0uXZ/5//A9xxR+O1i41DYw4heyIEHyJhTIxpakq8Tt0bRwebsiey\nJCtkYsKvepaWQUTka+PkUfZAM1GE3CjbxcYxBWjboTeODboAbZZnXyWyr5SNwxg7izH2AGPsScbY\nPsbYx1ffH2GM3ccY288Yu5cxNmRahkoQIyPlK/sf/AD4p39qvE6t7Gdnw0h4+3bghRfE36m7Xupg\nI3uyQiiH+9gxd7ImyITra+PEUPZEFCH7rl2yccr27Iu0cUJaHNfKXmAJwO9xzi8B8MsAfpcxdhGA\nTwG4n3O+A8ADAG4yLUBV9sPDxUa9dWQ/NgY891zjtQ/Zh3j2oWR/0UXAM8+Iv1M3QtPB1i4BaFZW\nx47lV/auNo6q7EP2b15lX9s4DdC5wjlw113AT3/a+Ky2cfQgspeTBPIimOw554c553tW/54G8DSA\nswBcB+DO1a/dCeB60zJUsv/jPwauvTZ0RP7IInvaya7ZOECxyl4me5eiqqKVPa2b4gUnT7q1OtD9\nHvCzceQb0fi4/00GiKPsgZrsAXE8pqaAj3wEuOEG4N57G59VKc++Ssq+t1esV+3gmgdRPHvG2DkA\nXgvghwC2cc5HAXFDAGAspVEJ4oor/DM28kCXZz82JjJdjhwRr6tq4+zYAezfL/622TgLC8JWifnU\nRGTPuZ3sjx8Xqtw3fS1G6uWhQ8AZZ/itF9AHaH0Qek4UjSKKqvr7gdtvFxlZ//E/Nl9zVWmXUDVl\nD7RWyudF7s1gjG0A8I8APsE5n2aMqQ8exgeRv/mbXb+ozNy5cyd27tyZdzheMCn7deuEut+2zb2o\nCihe2X/+8+JvG9mHriMLpJ5PnhR/69ZPZB9i4QCtqZc+2Tik7A8eDCN7+UYT4vu3i7IvwrN/y1uA\nv/xL4GMfA/7szwTpE2plb8bb3w68973Axz++G48/vjv38nJtBmOsD4Lov8Y5v3v17VHG2DbO+Shj\n7DQAR0y//5M/2VV4sYKMwUGhTOfmGu0AxseB179e+IpvfnO1lf2BAyIAmuXZ51lHFkjZm1Q90FBW\nPqpcRixl/7rX+a9bvtGEKPt2IfsibJxLLxX/AHHDPnCg8VmVyL5qyv6uu4BPfxr45Cd34jvf2YnL\nLxfv33zzzUHLy0u1fwfgKc75X0nv3QPgxtW/PwjgbvVHv1h5qYmfwtqQ1T3nQtm/6U1C2S8uioNt\nmyOTLmxfm6S3V9xoQoh4wwahll980U3ZxwzOAg31nEX2MZV9qGdflrJvJxsnNdnLGB4uz8bJSr2s\noo3T2wvccgvwn/8z8P73519entTLtwD4TQC/zhh7nDH2GGPsXQBuAfB2xth+ANcA+Fz+YaaDnGs/\nMyN28KWXCrKn4KwtB76nR5wQRSp7oBGktRVVhd5QsuCi7POSvZp66ZONIyv7M8/0X3c3KfvUnr0M\ntbYlz4TjNvi0S8iyccqugr7uOuDw4fzLCT4VOecPAzBp2beFLrdoyMp+bExUeb761cCXv+xm4RD6\n+8sh+/377UVVZdk4dLGF2jgxlH1ogLZbPPtOVvY+Nk4VlT1heFg0AqQ+PaEo2UgpHyrZb90KnH++\n8Oxd0i4JAwPhjdBiKPtOtHGIcFdWxMnuq+wXFsRNwre1MtA92TiqolVjWLFRto3TTgFaQm+v6IdF\nFfOhqMleIvvxcUH227YJgjx40F3ZDwyEFVUB4WS/Ywfw9NPZeeBVsHHyBGhpovL16933L92IDh8W\nRB+Scqrm2XeLsieiTxVPK1vZt0u7BBUjI+I6yoOa7DXKnjHgvPOAJ57wI/sQZQ/kU/Y/+Yn4veni\nJBsnhbJfXDRXzwINZZU3QOvj1wMNZX/wYJhfD7RW0Haqslfti9h9cVRQbQsVLRZJ9iEtjqtC9sPD\nNdnnhlxYRWQPCN9+z570Ng4QTvZnnimUWBaRp8qzpwkpirBxfJ8MSNmH+vVAPGVfdnDPBpUQU/r1\ngCB2OieB6ts4ZbU4VlEr+wjQKXugQfapA7T02xD09AAXXmgn+3a1cYhwfX9fBWXfLjaOSnKpyR5o\ntnKKnLykXQO0gDj/bbPq2VCTvYHszz9fBD+rbOMAwsrJIvuUNg4pe5PFEkvZ+9o4VVD27WTjlEH2\ndM0V3fXSd1rCqpB9beNEgHziUeolIJT98rKfjVN0gBYQZJ91sdCjbDvm2cdQ9nnIvhuUvc6zL0rZ\nc55dI5IXPl0vuyFAW4HNKBe6bBxAkD3Q/sqebkDtaOPk9ewnJuLZON2SjVMk2S8siPWnyvyRt21l\nJTtPvbZxugAmG+fss8VBrrJnDwCvfW12Hjmto4w8+95e8Xl/f5h6k5V9SDZOTBunU7NxyvTsU1o4\nQPMxpEwcUzW8ycb5+c/dn+5TIoaNU/FTMT1MZN/XB5xzTlplH0N1X3gh8NBDadehg6uyP3IkTNXT\n7yn18uKL3X9HN6KYAdpa2cdDUWQvH8Msv56+qyr70VHRm+aBB9KN0RV1Nk4EENlTEzR5UuwLLmid\nYMWEPJ59XtWd1buHxlRWBe3Ro2F+Pf0+1MYZHxckZhqbDXmVfU9PYwKKKqMMsqd05yLInrbNZsfo\nlP3v/R7w4Q8Dl12WboyuqD37CKATb2pKnHhymfhXvtJM/lkoy7Mvax1ExC7KPpTs89g4P/uZUPU+\nE7mr684ToAXCrL2iUVaAdmKiWBvHhezl/fDP/wx8//uiaLEKUCuPQ1Ar+1VlL1s4hLPOcq8mLMuz\ntyGVjcOYGP/AgHnZpOzz2DiUeumr7Kenw/16ed1A+KTl7UL2ZaVeFmnjZLVKoO8S2S8sAL/zO8Ct\nt4o2HVVAbeNEwOCgIK6XX3ZX8TqU5dm7riO2jUPLzLJJenvz2Th5Ui+BcL9eXjcQruxDzomi0ckB\nWvlGltUqAWjeDz/6kQjKvvvd6cbmi5rsI2F4WPSvzzP/bciF3dMj/rWjjUPLzCL7GAHaUM8eqJW9\nC1RlPzubtjcOUGw2jqzss46FrOwffRS46qp04wqBXJsQiprsIQgrL9lfc41Ig/RFX1972ji0zCwv\nPYZnT83WfD17oHxl3y5kX1ZRVVUDtI8+Clx5ZbpxhYA6kVJPoRDUZI84ZP9v/22YGiiK7Muwcfr6\nRCwkD9lzLk5yn/7qVVH27WDjdHLqJRVQrazYPXs5QPvoo8Ab3pBuXKHIa+XUZA9BWM8/n4/sQ5Ga\n7Mu2cZaWwm0cxsQF6vt7IpA8ZC8r+5mZMGujHZR9J3v2QMPKsXn29IRz/Lioz3jNa9KOKwQ12UdA\nDGUfik5X9kC4sgfE+H0sHBoXkN/GIWX/1FOiLYUvsjKVqoKy8+xTzYhFoO1ztXF+/GNhx1bxJp03\n/bKCm1Q8hoaa++IUiXb37G3ZOEA+su/r81f2AwOCsE4/Pd96l5eF2nv22TClt359+mBnXpTh2Q8O\nCntucjK9sh8cBH7lV+xPEbQfqujXE/Iq+5rs0SCsPKmXoeh0GwcIt3GAMBuHMWHL5SFasnH27xd9\nkkII8DvfAU45JXwMRaAMZc+YUKmjo+nJ/pFHGgS5bZv5e5QZ98MfAu99b9oxhaIm+wggwipD2ff2\n1jZOFvr6/G0cIPvCdl3v8jKwb194uXzIROdFowzPHiiO7C+4wP27/f3AD34AfOEL6caTB3ltnNqz\nR4NMahvHDy7KnjH3/kI6hCj7GCBlv28fcPnlxa+/KJSh7AFxzR0+nJ7sfdDXJzKvzj+/7JHoUQdo\nI6C2ccLgQvYjI/n6lYd49jFAAdq9e6vRCCsVyvDsgeKUvQ/6+0XKZWg/pdSoyT4ChoaE+kxhddjQ\nztk4H/gA8PrXmz/v68tn4QDlKfsYNk47oExlXzWy7+urbnAWyN/TvvbsIci+DAsHSE/2pKpTrOO3\nfzv78xhEHerZ50Vvr5hOcXwcOO+84tdfFHSefREZRENDorq6SmTf319tss87W1Wt7CEu5re+tZx1\npyZ7Kkwq66klr7Ivy8bp6wP27AEuuSTdtHlVwPr1jcl7VlaEZ5069x0QN/Dx8WqR/VVXAW9+c9mj\nMKO2cSLg3HOB//E/yll3arIH0mf8mNDONk5vL/D4451t4QAi+LxnjyB6aoJWhGdNT2tVIvtvfzt/\nFldK1GTf5ti4MV+2igvKIvuNG/MVNtEyyrgAe3tF0U8nZ+IAwr7cskUUjhXl1wPVJPuqo66gbXPc\nc0/6C4wmGSkaH/5wo+VAKB58sJwJJCiLqdOVPSB86kcfBa6+uib7KqNW9m2O9evTPzaXaePkvZjL\nmimIspi6iexrZV9tbNgAzM2F/74m+y5AWWTfzujrExZUWVlaRaIm+/YAtZkIRU32XYCybJx2Rm9v\nd6h6QNRK7N0rsnJqsq828iQr1J59F6BW9v64+mrRAK0bsHEjsH27aBpWFNlT5XVN9n6oyb5GJsrK\ns29nXHyx+NctuPJKEQyvlX21UUkbhzH2LsbYM4yxZxljf5RqPTXseOc726MDY43ycOWVwMMPF0f2\n69bFCeB3G/Io+yRkzxjrAXArgHcCuATADYyxgLl+2he7d+8uewi/wN/+bdyWA1Xattjo5G0DzNt3\n5ZXA1FRxZE/Bxphk38nHjratcmQP4I0ADnDOf845XwRwF4DrEq2rkuiGE68T0cnbBpi374orhNIu\ncmats8/OX2Eto5OPHW1bHtGWyrM/E8BL0uuXIW4ANWrUqCAGB0W1cFHKHgB+9KPqthOuKqqo7GvU\nqNFmeOMbReFOUaiJ3h95yJ5xzuONhBbK2FUAdnHO37X6+lMAOOf8Fuk78Vdco0aNGl0Azrn3rTIV\n2fcC2A/gGgCvAHgEwA2c86ejr6xGjRo1aliRxLPnnC8zxj4G4D4Iq+j2muhr1KhRozwkUfY1atSo\nUaNaKCVA20kFV4yxsxhjDzDGnmSM7WOMfXz1/RHG2H2Msf2MsXsZYxlTc1cbjLEexthjjLF7Vl93\n0rYNMca+yRh7evUYvqlTto8xdtPqNu1ljP0DY2ygnbeNMXY7Y2yUMbZXes+4Pavbf2D12L6jnFG7\nwbBtn18d+x7G2LcYY5ukz7y3rXCy78CCqyUAv8c5vwTALwP43dXt+RSA+znnOwA8AOCmEseYF58A\n8JT0upO27a8AfI9zfjGAKwA8gw7YPsbYdgD/HsAvcc4vh7Bsb0B7b9sdELwhQ7s9jLHXAHgvgIsB\n/AaA2xirdP6PbtvuA3AJ5/y1AA4g57aVoew7quCKc36Yc75n9e9pAE8DOAtim+5c/dqdAK4vZ4T5\nwBg7C8C1AL4qvd0p27YJwFs553cAAOd8iXN+Ap2xfZMAFgCsZ4z1AVgL4CDaeNs45w8BUKfvMG3P\newDctXpMX4Agy8rW+ui2jXN+P+d8ZfXlDyF4BQjctjLIXldwdWYJ44gOxtg5AF4LcWC2cc5HAXFD\nANCu3Wn+AsAfApCDO52ybecCGGOM3bFqU32FMbYOHbB9nPMJAH8O4EUIkj/BOb8fHbBtCk41bI/K\nMwfR3jzzYQDfW/07aNvqoqpIYIxtAPCPAD6xqvDVyHfbRcIZY+8GMLr65JL1mNh227aKPgCvA/A3\nnPPXAZiBsAU64didB+CTALYDOANC4f8mOmDbLOi07QFj7DMAFjnn38iznDLI/iAAuVP4WavvtS1W\nH5P/EcDXOOd3r749yhjbtvr5aQCOlDW+HHgLgPcwxp4H8A0Av84Y+xqAwx2wbYB4qnyJc/6j1dff\ngiD/Tjh2bwDwMOf8GOd8GcD/AvBmdMa2yTBtz0EAr5K+15Y8wxi7EcJG/YD0dtC2lUH2jwI4nzG2\nnTE2AOD9AO4pYRwx8XcAnuKc/5X03j0Ablz9+4MA7lZ/VHVwzj/NOT+bc34exHF6gHP+7wD8E9p8\n2wBg9fH/JcbYhatvXQPgSXTAsYMoaryKMTa4Gry7BiLI3u7bxtD8lGnannsAvH81A+lcAOdDFHdW\nGU3bxhh7F4SF+h7O+bz0vbBt45wX/g/AuyBOxgMAPlXGGCJuy1sALAPYA+BxAI+tbt9mAPevbud9\nAIbLHmvO7fxVAPes/t0x2waRgfPo6vH7NoChTtm+VaJ4EsBeiOBlfztvG4CvAzgEYB4iFvEhACOm\n7YHIXvkpRNLEO8oef8C2HQDw81VOeQzAbXm2rS6qqlGjRo0uQB2grVGjRo0uQE32NWrUqNEFqMm+\nRo0aNboANdnXqFGjRhegJvsaNWrU6ALUZF+jRo0aXYCa7GvUqFGjC1CTfY0aNWp0Af4/ug+YP+HA\n++YAAAAASUVORK5CYII=\n", | |
"text/plain": [ | |
"<matplotlib.figure.Figure at 0x10aacc550>" | |
] | |
}, | |
"metadata": {}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"while True:\n", | |
" clear_output()\n", | |
" dat= pd.read_csv('./data.csv', names=['Time', 'Temp'])\n", | |
" dat['Temp'].plot()\n", | |
" plt.show()\n", | |
" time.sleep(5) # Delay for 1 minute (60 seconds)" | |
] | |
} | |
], | |
"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": "3.5.1" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
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