{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# PySeison - Tutorial 4: TideGauge class" ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Populating the interactive namespace from numpy and matplotlib\n" ] } ], "source": [ "%pylab inline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 1. PySeidon-dvt - TideGauge object initialisation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Similarly to the \"ADCP class\" and the \"Drifter class\", the \"TideGauge class\" is a measurement-based object." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.1. Package importation" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As any other library in *Python-dvt*, PySeidon has to be first imported before to be used. Here we will use an alternative *import* statement compared to the one previoulsy presented: " ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "from pyseidon_dvt import *" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*** Star *** here means *all*. Usually this form of statements would import the entire library. In the case of *PySeidon-dvt*, this statement will import the following object classes: FVCOM, Station, Validation, ADCP, Tidegauge and Drifter. Only the TideGauge class will be tackle in this tutorial. However note should note that the architecture design and functioning between each classes are very similar. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.2. Object definition" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "*Python* is by definition an [**object oriented language**](http://www.tutorialspoint.com/python/python_classes_objects.htm)...and so is *matlab*. *PySeidon-dvt* is based on this notion of object, so let us define our first \"Tidegauge\" object." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Exercise 1: ***\n", "- Unravel TideGauge documentation with Ipython ***shortcuts***" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Answer: ***" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "TideGauge?" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "According to the documentation, in order to define a TideGauge object, the only required input is a ***filename**. This string input represents path to a file (e.g. *testAdcp=TideGauge('./path_to_matlab_file/filename')* and whose file must be a matlab file (i.e. *.mat).\n", "\n", "**Note** that, at the current stage, the package only handle a certain type of file and data format. A template for the TideGauge file/data format is provided in the package under *data4tutorial*" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Exercise 2: ***\n", "- define a tide gauge object named *tg* from the following template: **./data4tutorial/tidegauge_GP_01aug2013.mat**\n", "- Tip: adapt the file's path to your local machine. \n", "\n", "***Answer: ***" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [], "source": [ "tg = TideGauge('./data4tutorial/tidegauge_GP_01aug2013.mat')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 1.3. Object attributes, functions, methods & special methods" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The TideGauge object possesses 3 attributes and 3 methods. They would appear by typing ***tg. Tab*** for instance.\n", "\n", "An *attribute* is a quantity intrinsic to its *object*. A *method* is an intrinsic *function* which changes an *attribute* of its object. Contrarily a *function* will generate its own *output*:" ] }, { "cell_type": "raw", "metadata": {}, "source": [ "object.method(inputs)\n", "output = object.function(inputs)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The Station attributes are:\n", "- ***History***: history metadata that keeps track of the object changes\n", "- ***Data***: gathers the raw/unchanged data of the specified *.mat file\n", "- ***Variables***: gathers the hydrodynamics related data. Note that methods will generate new fields in this attribute\n", "\n", "The Station methods & functions are:\n", "- ***Utils***: gathers utility methods and functions for use with 2D and 3D variables\n", "- ***Plots***: gathers plotting methods for use with 2D and 3D variables\n", "- ***dump_profile_data***: dumps profile data (x,y) in a *.csv file." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 2. PySeidon-dvt - Hands-on (2 mins)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Utils & Plots" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Exercise 3: ***\n", "- Perform a harmonic analysis of the elevation and print out the result\n", "- Reconstruction these elevation based on the harmonic results of the previous question\n", "- Convert matlabtime in datetime\n", "- Plot the elevation-minus-reconstructed-elevation time series.\n", "\n", "***Answer: ***" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "solve: \n", "matrix prep ... \n", "Solution ...\n", "diagnostics...\n", "Done.\n", "\n", "reconstruct:\n", "prep/calcs...\n", "Done.\n", "\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python2.7/dist-packages/matplotlib/figure.py:387: UserWarning: matplotlib is currently using a non-GUI backend, so cannot show the figure\n", " \"matplotlib is currently using a non-GUI backend, \"\n" ] }, { "data": { "image/png": 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CxCrMJj2ODrgw0NkInSBor3X75H1QJ4SoHj3VVVBeotMJGO52YNkXR2xdUIiIiIj2BoMR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\n1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Xs76lQb8pWkZ8TwZHoJyQ37muRySQ8/N6jHXhnW+9628yUr643NRHI/T+dZppGyLJ0f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\noVBxt74sRYyhybAkq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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "harmo = tg.Utils.harmonics()\n", "recons = tg.Utils.reconstr(harmo)\n", "times = map(tg.Utils.mattime2datetime, tg.Variables.matlabTime[:])\n", "ini_minus_recons = ini_minus_recons = tg.Variables.el - recons['h']\n", "tg.Plots.plot_xy(times, ini_minus_recons, title='Residual tidal signal', xLabel='Time', yLabel='Elevation (m)')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Save functions" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "***Exercise 5: ***\n", "- ***Dump*** depth-averaged velocity and time step data in a *.csv file\n", "\n", "***Answer: ***" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "collapsed": true }, "outputs": [], "source": [ "tg.dump_profile_data(times, ini_minus_recons, title='Residual_tidal_signal', xLabel='Time', yLabel='Elevation (m)')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## 4. Bug patrol & steering committee" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4.1. Bug report" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As beta tester, your first assignement is to report bugs...yet not everything is a bug. The first thing to check before to report a bug is to verify that your version of *PySeidon-dvt* is up-to-date. The best way to keep up with the package evolution is to [***git***](http://git-scm.com/) to ***clone*** the repository, use ***pull*** to update it and ***re-install*** it if needed. \n", "\n", "The second thing to check before to report a bug is to verify that the bug is ***reproducible***. When running into a bug, double check that your inputs fit the description of the documentation then turn the ***debug flag on*** (e.g. *output = tidegaugeobject.function(inputs, debug=True)*) and submit the command again. If the error re-occurs then report it (i.e. copy entire error message + command and send it to package administrator)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### 4.2. Suggestions & critics" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Your second role as beta-tester is to submit suggestions and critics to the developpers regarding the functioning and functionality of the package. Beta testing phase is the best opportunity to steer a project towards the applications you would like to be tackled..." ] } ], "metadata": { "celltoolbar": "Raw Cell Format", "kernelspec": { "display_name": "Python 2", "language": "python", "name": "python2" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 2 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython2", "version": "2.7.12" } }, "nbformat": 4, "nbformat_minor": 0 }