{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import re\n", "import netCDF4 as nc\n", "import numpy as np\n", "import matplotlib.pyplot as plt\n", "\n", "%matplotlib inline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "collapsed": false }, "outputs": [], "source": [ "f=nc.Dataset('/data/eolson/MEOPAR/SS36runs/runSOG5x5_NewIC/SOG5x5_1ts_20041019_20041023_ptrc_T.nc')\n", "fkeys=f.variables.keys()\n", "for ik in fkeys:\n", " match = re.search(r'depth.',ik)\n", " if match:\n", " zkey=match.group(0)\n", "z=f.variables[zkey][:]\n", "t=f.variables['time_counter'][:]\n", "tz,zt=np.meshgrid((t-t[0])/3600/24,-z[:])" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "collapsed": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[ 0. 40. 80. 120. 160.]\n" ] } ], "source": [ "print(t[0:5]-t[0])" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "collapsed": false, "scrolled": true }, "outputs": [ { "data": { "image/png": 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/jogfAD+Q9A/AI4DKxYk/rWNmZrbAZvBRYmWPIu8HHidpWdI9gJ8F9tXNyWdO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\nrOzewJURcUr2+lnAz0fEb5S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49N9Dhrc/2ZbzA2ccPG26bfzXWPqjmsMD9Q//Gydv2zCn/7r9ZtuOFvE6tG16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\nIn43p86VjJZxeQp4U0Tck5R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z6hZKfp1WNy+ZtkjCa93tpDWRHDutzrwxpTWdjFtIW5Jxy5QtXg1rDy2Mj7RM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\nL4+IY4BjJD23YgxWweWXX77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ig5NBgdhJqvON2VLflDzpQfgkv5hRTns35Y7EVetN6tT+MK8xq7DsNH8Wpvla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\ntM05wBcjIiR9S9IeYD+9BO/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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "for ik in fkeys:\n", " if np.size(f.variables[ik].shape)==4:\n", " fig, axs = plt.subplots(1,1,figsize=(10,4))\n", " mesh=plt.pcolormesh(tz[:3600*24*1,:],zt[:3600*24*1,:],f.variables[ik][:3600*24*1,:,2,2].T)\n", " plt.colorbar()\n", " plt.title(ik)" ] }, { "cell_type": "code", "execution_count": null, "metadata": { "collapsed": true }, "outputs": [], "source": [] }, { "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": "3.5.1" } }, "nbformat": 4, "nbformat_minor": 0 }