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@jsudheer
Created August 17, 2016 15:39
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binned relation
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/media/sjo/SJO320/data/tropflux/regress_data\n"
]
}
],
"source": [
"cd /media/sjo/SJO320/data/tropflux/regress_data/"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"from netCDF4 import Dataset as nc\n",
"import netCDF4\n",
"import pandas as pd\n",
"import numpy as np\n",
"from matplotlib import pyplot as plt\n",
"from pylab import *\n",
"#import seaborn as sbn\n",
"from fig_lh import figsize\n",
"from biokit.viz import corrplot\n",
"from matplotlib.ticker import FuncFormatter\n",
"def to_percent(y, position):\n",
" # Ignore the passed in position. This has the effect of scaling the default\n",
" # tick locations.\n",
" s = str(100 * y)\n",
"\n",
" # The percent symbol needs escaping in latex\n",
" if matplotlib.rcParams['text.usetex'] is True:\n",
" return s + r'$\\%$'\n",
" else:\n",
" return s + '%'\n",
"\n",
"figsize(7,7)\n",
"rc('font',size=15,weight='bold')\n",
"rcParams['axes.linewidth'] = 2\n",
"nf=nc('lcor_vars.nc')\n",
"sst=(nf.variables['SST'][:,0]).squeeze()\n",
"airt=(nf.variables['T2M'][:,0]).squeeze()\n",
"lhf=(nf.variables['lhf'][:,0]).squeeze()\n",
"shf=(nf.variables['shf'][:,0]).squeeze()\n",
"sh=(nf.variables['q2m'][:,0]).squeeze()\n",
"netflx=(nf.variables['netflux'][:,0]).squeeze()\n",
"ws=(nf.variables['ws'][:,0]).squeeze()\n",
"Tdiff=(nf.variables['Tdiff'][:,0]).squeeze()\n",
"time=nf.variables['time']\n",
"times=nf.variables['time'][:]\n",
"jd = netCDF4.num2date(times[:],time.units)\n",
"vnames=['sh','shf','netflx','lhf','ws','airt','SST','Tdiff']\n",
"#vnames=['shf','netflx','lhf','ws','Tdiff']\n",
"vtemp =np.array([sh,shf,netflx,lhf,ws,airt,sst,Tdiff]).T\n",
"#vtemp =np.array([shf,netflx,lhf,ws,Tdiff]).T\n",
"df=pd.DataFrame(vtemp,columns=vnames,index=jd)\n",
"df=df[0:4747]"
]
},
{
"cell_type": "code",
"execution_count": 32,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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aePLJJ8e81eEHZio592wv79vquWibmTWI45GCNY1HxvP6rbvuuixfvrzf8Yy7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\nqAAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff0c97a1b50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"figsize(5,5)\n",
"hb=plt.hist(df.ws,bins=10,normed=True,cumulative=True,width=.5,facecolor='k')\n",
"plt.xlabel(\"WS (m/s) BINS\")\n",
"formatter = FuncFormatter(to_percent)\n",
"plt.gca().yaxis.set_major_formatter(formatter)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 33,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x7ff0c58c4050>"
]
},
"execution_count": 33,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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3n3p6x3t36OyfZ+v+g/vDlic/fvt9R6qgfqi0+7+VwGH38g3wVdClr7vNMpxl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vzImbk5kw6DOjCx4kTSU9NZWHshZf9TlioHquS6fRjeyzBkhHDkzC9jz7SeTFkTyu4jpaLnOoh9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\nbWOMMcYYY+Lg/wMBw7xSIuCzswAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7ff0c5477250>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(10,6))\n",
"ax1 = fig.add_subplot(221)\n",
"ax2 = fig.add_subplot(222)\n",
"ax3 = fig.add_subplot(223)\n",
"ax4 = fig.add_subplot(224)\n",
"fig.tight_layout()\n",
"subplots_adjust(wspace=.23)\n",
"ws_bins = np.linspace(df.ws.min(),df.ws.max(),12)\n",
"shf_bins = np.linspace(df.shf.min(),df.shf.max(),15)\n",
"shf_grp=df.groupby(pd.cut(df.shf, shf_bins))\n",
"ws_grp=df.groupby(pd.cut(df.ws, ws_bins))\n",
"ax1.plot(np.array(ws_grp.mean().ws),np.array(ws_grp.mean().airt),'go-');ax1.set_xlim(0,14);ax1.set_xlabel('Wind Speed m/s');ax1.set_ylabel('Tair $^o$C')\n",
"ax2.plot(np.array(ws_grp.mean().ws),np.array(ws_grp.mean().SST),'go-');ax2.set_xlim(0,14);ax2.set_xlabel('Wind Speed m/s');ax2.set_ylabel('SST $^o$C')\n",
"ax3.plot(np.array(ws_grp.mean().ws),np.array(ws_grp.mean().Tdiff),'go-');ax3.set_xlim(0,14);ax3.set_xlabel('Wind Speed m/s');ax3.set_ylabel('Tdiff $^o$C')\n",
"ax4.plot(np.array(ws_grp.mean().ws),np.array(ws_grp.mean().shf),'go-');ax4.set_xlim(0,14);ax4.set_xlabel('Wind Speed m/s');ax4.set_ylabel('SHF Watts/m$^{-2}$')"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"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": 1
}
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