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Corrects schematic of symmetric arrays
- The schematic of symmetric array with declaration/loop ranges was incorrect. - We realized this when explaining things in @septicscuzzy's office. - Jupyter notebook used to create figures has been added but "empty" to save space. - Figures appear on http://mom6.readthedocs.io/en/latest/api/generated/pages/Horizontal_indexing.html#declaration-of-variables
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"metadata": {}, | ||
"source": [ | ||
"### Generates schematics of horizontal indexing conventions" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": { | ||
"collapsed": true | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import numpy, matplotlib.pyplot as plt\n", | ||
"%matplotlib inline\n", | ||
"plt.xkcd();" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Figure 1\n", | ||
"def plot_grid(ni,nj,hi,hj,symmetric=True):\n", | ||
" isc,jsc,iec,jec = 0.5,0.5,ni-.5,nj-.5\n", | ||
" isd,jsd,ied,jed = isc-hi,jsc-hj,iec+hi,jec+hj\n", | ||
" if symmetric:\n", | ||
" IsdB,IedB,JsdB,JedB,IscB,IecB,JscB,JecB = isd-.5,ied+.5,jsd-.5,jed+.5,isc-.5,iec+.5,jsc-.5,jec+.5\n", | ||
" else:\n", | ||
" IsdB,IedB,JsdB,JedB,IscB,IecB,JscB,JecB = isd+.5,ied+.5,jsd+.5,jed+.5,isc+.5,iec+.5,jsc+.5,jec+.5\n", | ||
" #XsdB,XedB,YsdB,YedB = isd-.5,ied+.5,jsd-.5,jed+.5\n", | ||
" fig = plt.figure()\n", | ||
" ax1 = fig.add_subplot(111)\n", | ||
" ax2 = ax1.twiny()\n", | ||
" ax3 = ax1.twinx()\n", | ||
" for ax in [ax1,ax2,ax3]:\n", | ||
" ax.set_xlim(isd-1,ied+1)\n", | ||
" ax.set_ylim(jsd-1,ied+1)\n", | ||
" # Halos of data domain\n", | ||
" #for x in numpy.arange(IsdB,IedB+1): ax1.plot([x,x],[JsdB,JedB],'k')\n", | ||
" for x in numpy.arange(IsdB,IscB): ax1.plot([x,x],[jsd-.5,JedB],'b')\n", | ||
" for x in numpy.arange(IecB+1,IedB+1): ax1.plot([x,x],[jsd-.5,JedB],'b')\n", | ||
" for x in numpy.arange(IscB,IecB+1):\n", | ||
" ax1.plot([x,x],[jsd-.5,jsc-.5],'b')\n", | ||
" ax1.plot([x,x],[JecB,JedB],'b')\n", | ||
" #for y in numpy.arange(JsdB,JedB+1): ax1.plot([IsdB,IedB],[y,y],'k')\n", | ||
" for y in numpy.arange(JsdB,JscB): ax1.plot([isd-.5,IedB],[y,y],'b')\n", | ||
" for y in numpy.arange(JecB+1,JedB+1): ax1.plot([isd-.5,IedB],[y,y],'b')\n", | ||
" for y in numpy.arange(JscB,JecB+1):\n", | ||
" ax1.plot([isd-.5,isc-.5],[y,y],'b')\n", | ||
" ax1.plot([IecB,IedB],[y,y],'b')\n", | ||
" # Computational domain\n", | ||
" for x in numpy.arange(IscB,IecB+1): ax2.plot([x,x],[jsc-.5,jec+.5],'r')\n", | ||
" for y in numpy.arange(JscB,JecB+1): ax2.plot([isc-.5,iec+.5],[y,y],'r')\n", | ||
" for y in numpy.arange(jsd,jed+1):\n", | ||
" for x in numpy.arange(isd,ied+1):\n", | ||
" ax2.plot(x,y,'xb')\n", | ||
" for y in numpy.arange(jsc,jec+1):\n", | ||
" for x in numpy.arange(isc,iec+1):\n", | ||
" ax2.plot(x,y,'xr')\n", | ||
" for y in numpy.arange(JsdB,JedB+1):\n", | ||
" for x in numpy.arange(IsdB,IedB+1):\n", | ||
" ax2.plot(x,y,'ob')\n", | ||
" for y in numpy.arange(JscB,JecB+1):\n", | ||
" for x in numpy.arange(IscB,IecB+1):\n", | ||
" ax2.plot(x,y,'or')\n", | ||
" text_opts={'horizontalalignment':'center','verticalalignment':'center','backgroundcolor':'w'}\n", | ||
" ax1.set_xticks([IsdB,IscB,IecB,IedB])\n", | ||
" ax1.set_xticklabels(['IsdB','IscB','IecB','IedB'])\n", | ||
" ax1.set_yticks([JsdB,JscB,JecB,JedB])\n", | ||
" ax1.set_yticklabels(['JsdB','JscB','JecB','JedB'])\n", | ||
" ax1.set_xlabel('q-/u-point I')\n", | ||
" ax1.set_ylabel('q-/v-point J')\n", | ||
" ax2.set_xticks([isd,isc,iec,ied])\n", | ||
" ax2.set_xticklabels(['isd','isc','iec','ied'])\n", | ||
" ax2.set_xlabel('h-/v-point i')\n", | ||
" ax3.set_yticks([jsd,jsc,jec,jed])\n", | ||
" ax3.set_yticklabels(['jsd','jsc','jec','jed'])\n", | ||
" ax3.set_ylabel('h-/u-point j')\n", | ||
" for ax in [ax1,ax2,ax3]:\n", | ||
" ax.spines['bottom'].set_visible(False)\n", | ||
" ax.spines['top'].set_visible(False)\n", | ||
" ax.spines['left'].set_visible(False)\n", | ||
" ax.spines['right'].set_visible(False)\n", | ||
"plot_grid(5,5,2,2,symmetric=False)\n", | ||
"plt.savefig('Horizontal_NE_indexing_nonsym.png',bbox_inches='tight')" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"plot_grid(5,5,2,2)\n", | ||
"plt.savefig('Horizontal_NE_indexing_sym.png',bbox_inches='tight')" | ||
] | ||
} | ||
], | ||
"metadata": { | ||
"anaconda-cloud": {}, | ||
"kernelspec": { | ||
"display_name": "Python [default]", | ||
"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": "3.5.3" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 1 | ||
} |
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