Created
December 29, 2017 13:42
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This gist reads VertiX radar spectra and plots
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{ | |
"cells": [ | |
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"cell_type": "code", | |
"execution_count": 42, | |
"metadata": {}, | |
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"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Populating the interactive namespace from numpy and matplotlib\n" | |
] | |
}, | |
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"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"/Users/snesbitt/anaconda/lib/python3.6/site-packages/IPython/core/magics/pylab.py:160: UserWarning: pylab import has clobbered these variables: ['interactive']\n", | |
"`%matplotlib` prevents importing * from pylab and numpy\n", | |
" \"\\n`%matplotlib` prevents importing * from pylab and numpy\"\n" | |
] | |
} | |
], | |
"source": [ | |
"%pylab inline\n", | |
"import xarray as xr\n", | |
"from ipywidgets import interactive\n", | |
"from mpl_toolkits.axes_grid1 import make_axes_locatable" | |
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{ | |
"cell_type": "code", | |
"execution_count": 43, | |
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"outputs": [ | |
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"data": { | |
"application/vnd.jupyter.widget-view+json": { | |
"model_id": "db53c0b404be42ac884d01d4428ea108", | |
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"version_minor": 0 | |
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"text/plain": [ | |
"A Jupyter Widget" | |
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"metadata": {}, | |
"output_type": "display_data" | |
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"source": [ | |
"data = xr.open_dataset('/Users/snesbitt/data/GCPEX_DATA/18Feb12_0900-1400.ncdf')\n", | |
"def plot_spectra(time):\n", | |
" data_sub=data.sel(time_spec=time,method='nearest')\n", | |
" data_sub2=data.sel(time=time,method='nearest')\n", | |
" plt.figure(figsize=(11,8.5))\n", | |
" ax1 = plt.subplot2grid((3, 3), (0, 0), colspan=3)\n", | |
" cax1=ax1.contourf(data['time'].values,data['range'].values,data['reflectivity'],levels=np.arange(-10,45,5),cmap='jet')\n", | |
" ax1.set_ylim([0,6000])\n", | |
" ax1.set_title('Reflectivity factor')\n", | |
" plt.axvline(x=time)\n", | |
" divider = make_axes_locatable(ax1)\n", | |
" cax = divider.append_axes(\"right\", size=\"5%\", pad=0.05)\n", | |
" plt.colorbar(cax1, cax=cax)\n", | |
" ax2 = plt.subplot2grid((3, 3), (1, 0), colspan=3)\n", | |
" cax2=ax2.contourf(data['time'].values,data['range'].values,data['doppler_velocity'],levels=np.arange(-5,5,.5),cmap='jet')\n", | |
" ax2.set_ylim([0,6000])\n", | |
" ax2.set_title('Mean Doppler velocity')\n", | |
" plt.axvline(x=time)\n", | |
" divider = make_axes_locatable(ax2)\n", | |
" cax = divider.append_axes(\"right\", size=\"5%\", pad=0.05)\n", | |
" plt.colorbar(cax2, cax=cax)\n", | |
" ax3 = plt.subplot2grid((3, 3), (2, 0))\n", | |
" ax3.contourf(data_sub['velocity_spec'].values,data_sub['range_spec'].values,data_sub['spectra'].values)\n", | |
" ax3.set_ylim([0,6000])\n", | |
" ax3.set_xlim([-5,5])\n", | |
" ax3.set_title('Doppler spectra')\n", | |
" ax4 = plt.subplot2grid((3, 3), (2, 1))\n", | |
" ax4.plot(data_sub2['reflectivity'].values,data_sub2['range'].values)\n", | |
" ax4.set_xlim([-20,50])\n", | |
" ax4.set_ylim([0,6000])\n", | |
" ax4.set_title('Reflectivity factor')\n", | |
" ax5 = plt.subplot2grid((3, 3), (2, 2))\n", | |
" ax5.plot(data_sub2['doppler_velocity'].values,data_sub2['range'].values)\n", | |
" ax5.set_xlim([-5,5])\n", | |
" ax5.set_ylim([0,6000])\n", | |
" ax5.set_title('Mean Doppler velocity')\n", | |
" plt.tight_layout()\n", | |
" plt.show()\n", | |
"\n", | |
" \n", | |
"interactive_plot = interactive(plot_spectra, time=data['time'].values)\n", | |
"output = interactive_plot.children[-1]\n", | |
"output.layout.height = '625px'\n", | |
"interactive_plot\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 22, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"array([-10. , -9.61538462, -9.23076923, -8.84615385,\n", | |
" -8.46153846, -8.07692308, -7.69230769, -7.30769231,\n", | |
" -6.92307692, -6.53846154, -6.15384615, -5.76923077,\n", | |
" -5.38461538, -5. , -4.61538462, -4.23076923,\n", | |
" -3.84615385, -3.46153846, -3.07692308, -2.69230769,\n", | |
" -2.30769231, -1.92307692, -1.53846154, -1.15384615,\n", | |
" -0.76923077, -0.38461538, 0. , 0.38461538,\n", | |
" 0.76923077, 1.15384615, 1.53846154, 1.92307692,\n", | |
" 2.30769231, 2.69230769, 3.07692308, 3.46153846,\n", | |
" 3.84615385, 4.23076923, 4.61538462, 5. ])" | |
] | |
}, | |
"execution_count": 22, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"np.linspace(-10,5,40)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": { | |
"collapsed": true | |
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"outputs": [], | |
"source": [] | |
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], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
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"file_extension": ".py", | |
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"pygments_lexer": "ipython3", | |
"version": "3.6.2" | |
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