mirror of
https://github.com/Unidata/python-awips.git
synced 2025-02-24 06:57:56 -05:00
158 lines
69 KiB
Text
158 lines
69 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 23,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"using time 2016-03-16 21:13:53\n",
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"buffer by 60\n",
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"using range (Mar 16 16 21:12:53 , Mar 16 16 21:14:53 )\n",
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"found 94 2016-03-16 21:13:53\n",
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"found 99 2016-03-16 21:13:53\n"
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]
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},
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{
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"data": {
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"image/png": 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zKyrToUJOWRU+1zSeql8SW2PKEqiQU5T1okIujb57ZJMEpZhnPr2UCLteFpHb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lq8v3fLj28SbPspj11d/Dd9nnn3OcQghSBuuKzJXxfWwcxcX8e2jVJTFee5+I/L3S80Jp8tOw82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\n",
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"text/plain": [
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"<matplotlib.figure.Figure at 0x7fd249aa8990>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
|
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],
|
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"source": [
|
|
"from awips.dataaccess import DataAccessLayer\n",
|
|
"from awips import ThriftClient, RadarCommon\n",
|
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"\n",
|
|
"from dynamicserialize.dstypes.com.raytheon.uf.common.time import TimeRange\n",
|
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"from dynamicserialize.dstypes.com.raytheon.uf.common.dataplugin.radar.request import GetRadarDataRecordRequest\n",
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"\n",
|
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"from datetime import datetime\n",
|
|
"from datetime import timedelta\n",
|
|
"\n",
|
|
"import matplotlib.pyplot as plt\n",
|
|
"import numpy as np\n",
|
|
"from numpy import ma\n",
|
|
"\n",
|
|
"# use metpy for color table\n",
|
|
"from metpy.plots import ctables\n",
|
|
"\n",
|
|
"# Set EDEX server and radar site\n",
|
|
"edex = \"edex-cloud.unidata.ucar.edu\"\n",
|
|
"site = \"kftg\"\n",
|
|
"\n",
|
|
"DataAccessLayer.changeEDEXHost(edex)\n",
|
|
"\n",
|
|
"request = DataAccessLayer.newDataRequest()\n",
|
|
"request.setDatatype(\"radar\")\n",
|
|
"request.setLocationNames(site)\n",
|
|
"\n",
|
|
"datatimes = DataAccessLayer.getAvailableTimes(request)\n",
|
|
"\n",
|
|
"# Get last available time\n",
|
|
"timerange = datatimes[-1].validPeriod\n",
|
|
"dateTimeStr = str(datatimes[-1])\n",
|
|
"\n",
|
|
"# Buffer length in seconds\n",
|
|
"buffer = 60\n",
|
|
"dateTime = datetime.strptime(dateTimeStr, \"%Y-%m-%d %H:%M:%S\")\n",
|
|
"beginRange = dateTime - timedelta(0, buffer)\n",
|
|
"endRange = dateTime + timedelta(0, buffer)\n",
|
|
"timerange = TimeRange(beginRange, endRange)\n",
|
|
"\n",
|
|
"print \"using time\",dateTimeStr\n",
|
|
"print \"buffer by\",buffer\n",
|
|
"print \"using range\",timerange\n",
|
|
"\n",
|
|
"client = ThriftClient.ThriftClient(edex)\n",
|
|
"request = GetRadarDataRecordRequest()\n",
|
|
"request.setRadarId(site)\n",
|
|
"request.setPrimaryElevationAngle(\"0.5\")\n",
|
|
"request.setTimeRange(timerange)\n",
|
|
"\n",
|
|
"fig, axes = plt.subplots(1, 2, figsize=(15, 8))\n",
|
|
"for v, ctable, ax in zip((94, 99), ('NWSReflectivity', 'NWSVelocity'), axes):\n",
|
|
" request.setProductCode(v)\n",
|
|
" response = client.sendRequest(request)\n",
|
|
" if response.getData():\n",
|
|
" for record in response.getData():\n",
|
|
" idra = record.getHdf5Data()\n",
|
|
" rdat,azdat,depVals,threshVals = RadarCommon.get_hdf5_data(idra)\n",
|
|
" dim = rdat.getDimension()\n",
|
|
" yLen,xLen = rdat.getSizes()\n",
|
|
" array = rdat.getByteData()\n",
|
|
" \n",
|
|
" # get data for azimuth angles if we have them.\n",
|
|
" if azdat :\n",
|
|
" azVals = azdat.getFloatData()\n",
|
|
" az = np.array(RadarCommon.encode_radial(azVals))\n",
|
|
" dattyp = RadarCommon.get_data_type(azdat)\n",
|
|
" az = np.append(az,az[-1])\n",
|
|
" \n",
|
|
" print \"found\",v,record.getDataTime()\n",
|
|
"\n",
|
|
" header = RadarCommon.get_header(record, format, xLen, yLen, azdat, \"description\")\n",
|
|
" rng = np.linspace(0, xLen, xLen + 1)\n",
|
|
" xlocs = rng * np.sin(np.deg2rad(az[:, np.newaxis]))\n",
|
|
" ylocs = rng * np.cos(np.deg2rad(az[:, np.newaxis]))\n",
|
|
" multiArray = np.reshape(array, (-1, xLen))\n",
|
|
" data = ma.array(multiArray)\n",
|
|
" data[data==0] = ma.masked\n",
|
|
"\n",
|
|
" # Plot the data\n",
|
|
" norm, cmap = ctables.registry.get_with_steps(ctable, 16, 16)\n",
|
|
" ax.pcolormesh(xlocs, ylocs, data, norm=norm, cmap=cmap)\n",
|
|
" ax.set_aspect('equal', 'datalim')\n",
|
|
" \n",
|
|
" multp = 100*(2*xLen/460)\n",
|
|
" ax.set_xlim(-multp,multp)\n",
|
|
" ax.set_ylim(-multp,multp)\n",
|
|
" # This is setting x/ylim on gate/pixel and not km\n",
|
|
"\n",
|
|
"\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"collapsed": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"\n"
|
|
]
|
|
}
|
|
],
|
|
"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": "2.7.9"
|
|
}
|
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},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 0
|
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