{ "metadata": { "name": "", "signature": "sha256:da01dab1fb2abbd97762ed69bb06ac1841cd202b593e98fa40e7535eddd39aa0" }, "nbformat": 3, "nbformat_minor": 0, "worksheets": [ { "cells": [ { "cell_type": "code", "collapsed": false, "input": [ "%matplotlib inline\n", "\n", "import matplotlib.pyplot as plt\n", "\n", "import arrow\n", "import datetime\n", "import pandas as pd\n", "from salishsea_tools import tidetools\n", "from salishsea_tools import stormtools\n", "import numpy as np" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 1 }, { "cell_type": "code", "collapsed": false, "input": [ "yr=2014\n", "\n", "stations = {'PointAtkinson': 7795, 'Victoria': 7120, 'PatriciaBay': 7277, 'CampbellRiver': 8074}" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 2 }, { "cell_type": "code", "collapsed": false, "input": [ "s = '30-Nov-' + str(2013) #start date \n", "e= '02-Dec-' + str(2014) #end date\n", "\n", "tidetools.get_dfo_wlev(stations['CampbellRiver'],s,e)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 3 }, { "cell_type": "code", "collapsed": false, "input": [ "tfile='Point Atkinson_t_tide_compare8_31-Dec-2013_02-Jan-2015.csv'\n", "ttide1,msl= stormtools.load_tidal_predictions(tfile)\n", "\n", "\n", "tfile='Point Atkinson_t_tide_compare8_31-Dec-2013_02-Dec-2015.csv'\n", "ttide2,msl= stormtools.load_tidal_predictions(tfile)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 4 }, { "cell_type": "code", "collapsed": true, "input": [ "%matplotlib inline\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 5 }, { "cell_type": "code", "collapsed": false, "input": [ "fig,ax=plt.subplots(1,1,figsize=(10,6))\n", "\n", "ax.plot(ttide2.time,ttide2.pred_all)\n", "ax.plot(ttide1.time,ttide1.pred_all)\n", "ax.set_xlim([datetime.datetime(2014,8,14),datetime.datetime(2014,8,16)])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 6, "text": [ "(735459.0, 735461.0)" ] }, { "metadata": {}, "output_type": "display_data", "png": 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vODKKLzbNUh3F5ui6TnpOGn39rP98s5uFNw/nsuN2EtNKVUexeZv35HG2/iK+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\n8VgsZ23OmQPrDxxHxzptDGbFWK1aidmckybB558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JihHDmSRJUowYziRJkmLEcCZJkhQj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\n", "text": [ "" ] } ], "prompt_number": 6 }, { "cell_type": "code", "collapsed": false, "input": [ "subtide=np.array(ttide2.pred_all)\n", "subtime=np.array(ttide2.time)\n", "time1=np.array(ttide1.time)\n", "tide1=np.array(ttide1.pred_all)\n", "\n", "indices=np.where(np.logical_and(subtime<=time1[-1],subtime>=time1[0]))\n", "subtide=subtide[indices]\n", "subtime=subtime[indices]\n", "\n" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 7 }, { "cell_type": "code", "collapsed": false, "input": [ "\n", "diff= subtide-tide1;\n", "print np.max(diff), subtime[np.argmax(diff)]\n", "print np.mean(diff)\n", "print np.min(diff), subtime[np.argmin(diff)]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "0.051144 2014-08-15 09:00:00+00:00\n", "4.97479850153e-06\n", "-0.052169 2014-08-14 23:00:00+00:00\n" ] } ], "prompt_number": 8 }, { "cell_type": "code", "collapsed": false, "input": [ "print subtime[0],time1[0]\n", "print subtime[-1],time1[-1]" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "2013-12-31 08:00:00+00:00 2013-12-31 08:00:00+00:00\n", "2015-01-02 08:00:00+00:00 2015-01-02 08:00:00+00:00\n" ] } ], "prompt_number": 9 }, { "cell_type": "code", "collapsed": false, "input": [ "fig,ax=plt.subplots(1,1,figsize=(10,6))\n", "ax.plot(subtime, diff)\n", "ax.set_xlim([datetime.datetime(2014,8,14),datetime.datetime(2014,8,16)])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 10, "text": [ "(735459.0, 735461.0)" ] }, { "metadata": {}, "output_type": "display_data", "png": 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m7t19J5F0sH69m2475RTfSSSVDjzQ3WN0nKDkpGIuQTTFKuCae06YAN995zuJ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\nhEaNYMECf+tuRCQ+XbrAokUwZEhql2p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