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@jsignell
Last active July 8, 2016 14:13
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This is a test of the netcdf files that we will be building from the USGS stream gage sites."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import xarray as xr\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%matplotlib inline\n",
"data_url = 'http://hydromet-thredds.princeton.edu:9000/thredds/dodsC/data/USGS_Stream_Gages/02146600.nc'\n",
"ds = xr.open_dataset(data_url)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (station_id: 1, time: 1629990)\n",
"Coordinates:\n",
" elev float64 ...\n",
" lat float64 ...\n",
" lon float64 ...\n",
" * station_id (station_id) |S64 '02146600'\n",
" * time (time) datetime64[ns] 1986-10-01T05:15:00 ...\n",
"Data variables:\n",
" Q (time) float64 ...\n",
" area (station_id) float64 ...\n",
"Attributes:\n",
" source: http://ssdev.cr.usgs.gov/gagePages/html/02146600.htm, http://waterdata.usgs.gov/nwis/inventory/?site_no=02146600\n",
" featureType: timeSeries\n",
" references: USGS: http://water.usgs.gov/GIS/metadata/usgswrd/XML/gagesII_Sept2011.xml\n",
" author: jsignell@princeton.edu\n",
" title: USGS Station Number: 02146600\n",
" keywords: stream flow discharge gage\n",
" history: Created by Princeton University Hydrometeorlogy Group at 2016-04-28 18:35:35.000739 \n",
" institution: Data from USGS, hosted by Princeton University\n",
" Conventions: CF-1.6\n",
" county: Mecklenburg\n",
" station_name: MCALPINE CR AT SARDIS ROAD NEAR CHARLOTTE, NC\n",
" HUC02: 03\n",
" state: NC\n",
" DODS.strlen: 8\n",
" DODS.dimName: string8"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<xarray.DataArray 'area' (station_id: 1)>\n",
"array([ 100.2])\n",
"Coordinates:\n",
" elev float64 ...\n",
" lat float64 ...\n",
" lon float64 ...\n",
" * station_id (station_id) |S64 '02146600'\n",
"Attributes:\n",
" units: square_km\n",
" long_name: watershed basin drainage area\n",
" standard_name: drainage_area"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.area"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"u'cubic_feet_per_second'"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"ds.Q.units"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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CMHAiIiIiIiIKUVjgJCKnish4ERknIreKyBdFZDUReVREJonISBFZxZj+dBGZLCITReTH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\n6RM/N8WP38MxK2+95Z+pEPfFPE2Jk9d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4NSpz/u7stB4wzvgVXoFKkhfkSZNqF9jxx9ce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\nERERER38F8mPKsiPsWTaAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f4900060b90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"fig = plt.figure(figsize=(14,5))\n",
"ds.Q.plot();"
]
},
{
"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": "2.7.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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