Skip to content

Instantly share code, notes, and snippets.

@rutj3
Created November 7, 2013 14:28
Show Gist options
  • Save rutj3/7355421 to your computer and use it in GitHub Desktop.
Save rutj3/7355421 to your computer and use it in GitHub Desktop.
SAI_vs_AO
{
"metadata": {
"name": ""
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"%cd 'D:\\\\Datasets\\\\AO\\\\'"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"D:\\Datasets\\AO\n"
]
}
],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"snow_extent = pd.read_pickle('SAI_1997_2013.pickle')\n",
"\n",
"sai = {}\n",
"\n",
"for year, group in snow_extent.groupby(snow_extent.index.year):\n",
"\n",
" slope, offset = np.linalg.lstsq(np.vstack((group.index.day, np.ones(len(group)))).T, group.Snow_extent.values)[0]\n",
" sai[year] = slope\n",
"\n",
"dfsai = pd.DataFrame(sai.values(), index=sai.keys(), columns=['SAI'])\n",
"dfsai = dfsai[dfsai.index > 1998]"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 128
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig, ax = plt.subplots(figsize=(10,4))\n",
"\n",
"ax.bar(dfsai.index, dfsai.SAI, facecolor='grey', alpha=.5, align='center')\n",
"\n",
"for year, val in sub.iterrows():\n",
" ax.text(year, val + 5000, '%1.0f' % val, size=9, ha='center', va='bottom')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAAAnEAAAD9CAYAAADTYCGyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
"text": [
"Figure(800x320)"
]
}
],
"prompt_number": 129
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dfao = pd.read_csv('monthly.ao.index.b50.current.ascii.table', delim_whitespace=True, index_col=0)\n",
"dfao['Dec_prev'] = dfao.Dec.shift(1)\n",
"dfao.tail()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"html": [
"<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>Jan</th>\n",
" <th>Feb</th>\n",
" <th>Mar</th>\n",
" <th>Apr</th>\n",
" <th>May</th>\n",
" <th>Jun</th>\n",
" <th>Jul</th>\n",
" <th>Aug</th>\n",
" <th>Sep</th>\n",
" <th>Oct</th>\n",
" <th>Nov</th>\n",
" <th>Dec</th>\n",
" <th>Dec_prev</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2009</th>\n",
" <td> 0.800</td>\n",
" <td>-0.672</td>\n",
" <td> 0.121</td>\n",
" <td> 0.973</td>\n",
" <td> 1.194</td>\n",
" <td>-1.351</td>\n",
" <td>-1.356</td>\n",
" <td>-0.054</td>\n",
" <td> 0.875</td>\n",
" <td>-1.540</td>\n",
" <td> 0.459</td>\n",
" <td>-3.413</td>\n",
" <td> 0.648</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2010</th>\n",
" <td>-2.587</td>\n",
" <td>-4.266</td>\n",
" <td>-0.432</td>\n",
" <td>-0.275</td>\n",
" <td>-0.919</td>\n",
" <td>-0.013</td>\n",
" <td> 0.435</td>\n",
" <td>-0.117</td>\n",
" <td>-0.865</td>\n",
" <td>-0.467</td>\n",
" <td>-0.376</td>\n",
" <td>-2.631</td>\n",
" <td>-3.413</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2011</th>\n",
" <td>-1.683</td>\n",
" <td> 1.575</td>\n",
" <td> 1.424</td>\n",
" <td> 2.275</td>\n",
" <td>-0.035</td>\n",
" <td>-0.858</td>\n",
" <td>-0.472</td>\n",
" <td>-1.063</td>\n",
" <td> 0.665</td>\n",
" <td> 0.800</td>\n",
" <td> 1.459</td>\n",
" <td> 2.221</td>\n",
" <td>-2.631</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2012</th>\n",
" <td>-0.220</td>\n",
" <td>-0.036</td>\n",
" <td> 1.037</td>\n",
" <td>-0.035</td>\n",
" <td> 0.168</td>\n",
" <td>-0.672</td>\n",
" <td> 0.168</td>\n",
" <td> 0.014</td>\n",
" <td> 0.772</td>\n",
" <td>-1.514</td>\n",
" <td>-0.111</td>\n",
" <td>-1.749</td>\n",
" <td> 2.221</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2013</th>\n",
" <td>-0.610</td>\n",
" <td>-1.007</td>\n",
" <td>-3.185</td>\n",
" <td> 0.322</td>\n",
" <td> 0.494</td>\n",
" <td> 0.549</td>\n",
" <td>-0.011</td>\n",
" <td> 0.154</td>\n",
" <td>-0.461</td>\n",
" <td> 0.263</td>\n",
" <td> NaN</td>\n",
" <td> NaN</td>\n",
" <td>-1.749</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"metadata": {},
"output_type": "pyout",
"prompt_number": 99,
"text": [
"\n",
" Jan Feb Mar Apr May Jun Jul Aug Sep Oct \\\n",
"2009 0.800 -0.672 0.121 0.973 1.194 -1.351 -1.356 -0.054 0.875 -1.540 \n",
"2010 -2.587 -4.266 -0.432 -0.275 -0.919 -0.013 0.435 -0.117 -0.865 -0.467 \n",
"2011 -1.683 1.575 1.424 2.275 -0.035 -0.858 -0.472 -1.063 0.665 0.800 \n",
"2012 -0.220 -0.036 1.037 -0.035 0.168 -0.672 0.168 0.014 0.772 -1.514 \n",
"2013 -0.610 -1.007 -3.185 0.322 0.494 0.549 -0.011 0.154 -0.461 0.263 \n",
" \n",
" Nov Dec Dec_prev \n",
" 2009 0.459 -3.413 0.648 \n",
" 2010 -0.376 -2.631 -3.413 \n",
" 2011 1.459 2.221 -2.631 \n",
" 2012 -0.111 -1.749 2.221 \n",
" 2013 NaN NaN -1.749 "
]
}
],
"prompt_number": 99
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"dfsai['AO'] = dfao[dfao.index >= dfsai.index[0]].filter(items=['Dec_prev','Jan','Feb']).mean(axis=1).shift(-1)\n",
"\n",
"dfsai = dfsai.dropna(axis=0)"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 135
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"fig = plt.figure(figsize=(15,4))\n",
"\n",
"ax = fig.add_axes([0,0,.6,1])\n",
"\n",
"# create standardized anomaly, swi is reversed for comparison\n",
"sai_norm = (dfsai.SAI - dfsai.SAI.mean()) / dfsai.SAI.std() * -1.\n",
"ao_norm = (dfsai.AO - dfsai.AO.mean()) / dfsai.AO.std()\n",
"\n",
"ax.plot(dfsai.index, sai_norm, label='SAI', lw=2)\n",
"ax.plot(dfsai.index, ao_norm, label='AO', lw=2)\n",
"ax.set_ylim(-3,3)\n",
"ax.set_xlim(1999,2012)\n",
"ax.set_ylabel('Standardized anomaly [-]')\n",
"ax.set_title('AO & SAI standardized anomaly')\n",
"ax.set_xlabel('Year')\n",
"ax.legend()\n",
"\n",
"ax2 = fig.add_axes([0.65,0,.3,1], aspect=1)\n",
"ax2.scatter(ao_norm, sai_norm, color='k')\n",
"ax2.set_xlabel('AO')\n",
"ax2.set_ylabel('SAI')\n",
"ax2.set_xlim(-3, 3)\n",
"ax2.set_ylim(-3, 3)\n",
"ax2.plot([-3,3],[-3,3], 'r--')"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "pyout",
"prompt_number": 154,
"text": [
"[Line2D(_line0)]"
]
},
{
"metadata": {},
"output_type": "display_data",
"png": "iVBORw0KGgoAAAANSUhEUgAABCAAAAFWCAYAAAC4r+weAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngdicAAAAAElFTkSuQmCC\n",
"text": [
"Figure(1200x320)"
]
}
],
"prompt_number": 154
},
{
"cell_type": "code",
"collapsed": false,
"input": [],
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment