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Simple request example.html
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Let's look at one path through the [NEON Data API](http://data.neonscience.org/data-api).\n",
"\n",
"Today, I'm interested in getting data about [relative humidity](http://data.neonscience.org/data-product-view?dpCode=DP1.00098.001) at the [Abby Road](http://www.neonscience.org/science-design/field-sites/abby-road) site.\n",
"\n",
"To start with, let's grab the excellent requests module to handle sending and receiving data from the API. We'll also define some variables to use a few times."
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import requests\n",
"import json\n",
"\n",
"SITECODE = \"ABBY\" #the site code for Abby Road\n",
"PRODUCTCODE = \"DP1.00098.001\" #the product code for Relative Humidity\n",
"SERVER = \"http://data.neonscience.org/api/v0/\" #the current server address"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Next, we'll send a request to the /sites endpoint to get some information about what's available there. (You can see what the queries look like at the [Data API](http://data.neonscience.org/data-api) help page.)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"site_response = requests.get(SERVER + 'sites/' + SITECODE)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"So, we now have our response saved up in the variable named site_response. We know it's in JSON format, so let's take a quick look at it."
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"data\": {\n",
" \"siteType\": \"RELOCATABLE\",\n",
" \"siteLatitude\": 45.76243,\n",
" \"domainCode\": \"D16\",\n",
" \"siteLongitude\": -122.33033,\n",
" \"siteName\": \"Abby Road Site, RELOCATABLE\",\n",
" \"domainName\": \"Pacific Northwest\",\n",
" \"siteCode\": \"ABBY\",\n",
" \"siteDescription\": \"Abby Road\",\n",
" \"stateCode\": \"WA\",\n",
" \"dataProducts\": [\n",
" {\n",
" \"dataProductCode\": \"DP1.00098.001\",\n",
" \"dataProductTitle\": \"Relative Humidity\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00066.001\",\n",
" \"dataProductTitle\": \"Photosynthetically active radiation (Quantum Line)\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\",\n",
" \"2016-09\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00024.001\",\n",
" \"dataProductTitle\": \"Photosynthetically Active Radiation (PAR)\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\",\n",
" \"2016-09\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00004.001\",\n",
" \"dataProductTitle\": \"Barometric Pressure\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\",\n",
" \"2016-09\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00005.001\",\n",
" \"dataProductTitle\": \"IR Biological Temperature\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\",\n",
" \"2016-09\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00023.001\",\n",
" \"dataProductTitle\": \"Shortwave and Longwave Radiation (Net radiometer)\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\",\n",
" \"2016-09\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00006.001\",\n",
" \"dataProductTitle\": \"Precipitation\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00002.001\",\n",
" \"dataProductTitle\": \"Single Aspirated Air Temperature\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00003.001\",\n",
" \"dataProductTitle\": \"Triple Aspirated Air Temperature\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\"\n",
" ]\n",
" },\n",
" {\n",
" \"dataProductCode\": \"DP1.00001.001\",\n",
" \"dataProductTitle\": \"2D Wind Speed and Direction\",\n",
" \"availableMonths\": [\n",
" \"2016-04\",\n",
" \"2016-05\",\n",
" \"2016-06\",\n",
" \"2016-07\",\n",
" \"2016-08\"\n",
" ]\n",
" }\n",
" ],\n",
" \"stateName\": \"Washington\"\n",
" },\n",
" \"status\": 200\n",
"}\n"
]
}
],
"source": [
"site_response_json = site_response.json()\n",
"print(json.dumps(site_response_json, indent=2)) #using json.dumps for formatting\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Well, there's a fair amount of stuff to go through. The structure of the response is in the [Data API](http://data.neonscience.org/data-api) documentation. Let's see if we can find out what months of data are available for the site. We'll need the information that's under data -> dataProduct -> availableMonths"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['2016-04', '2016-05', '2016-06', '2016-07']\n"
]
}
],
"source": [
"data_products = site_response_json['data']['dataProducts']\n",
"\n",
"#use a list comprehension here if you're feeling fancy\n",
"for data_product in data_products:\n",
" if (data_product['dataProductCode'] == PRODUCTCODE):\n",
" months = data_product['availableMonths']\n",
"\n",
"print(months)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At the time of writing, there are four months of data. Let's look and see what files are available for 2016-04, using the /data endpoint. We'll need the product code, the site code, and the YYYY-MM date."
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{\n",
" \"data\": {\n",
" \"month\": \"2016-04\",\n",
" \"urls\": [\n",
" \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.003.000.030.RH_30min.csv?package=basic\",\n",
" \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.003.000.001.RH_1min.csv?package=basic\",\n",
" \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.000.040.030.RH_30min.csv?package=basic\",\n",
" \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.000.040.001.RH_1min.csv?package=basic\"\n",
" ],\n",
" \"siteCode\": \"ABBY\",\n",
" \"files\": [\n",
" {\n",
" \"crc32\": \"0xeaf93cd8\",\n",
" \"url\": \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.003.000.030.RH_30min.csv?package=basic\",\n",
" \"size\": \"42906\",\n",
" \"name\": \"NEON.D16.ABBY.DP1.00098.001.00000.003.000.030.RH_30min.csv\"\n",
" },\n",
" {\n",
" \"crc32\": \"0x4ca6ead6\",\n",
" \"url\": \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.003.000.001.RH_1min.csv?package=basic\",\n",
" \"size\": \"1317790\",\n",
" \"name\": \"NEON.D16.ABBY.DP1.00098.001.00000.003.000.001.RH_1min.csv\"\n",
" },\n",
" {\n",
" \"crc32\": \"0xe4b2642e\",\n",
" \"url\": \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.000.040.030.RH_30min.csv?package=basic\",\n",
" \"size\": \"43093\",\n",
" \"name\": \"NEON.D16.ABBY.DP1.00098.001.00000.000.040.030.RH_30min.csv\"\n",
" },\n",
" {\n",
" \"crc32\": \"0xc8da9069\",\n",
" \"url\": \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.000.040.001.RH_1min.csv?package=basic\",\n",
" \"size\": \"1337513\",\n",
" \"name\": \"NEON.D16.ABBY.DP1.00098.001.00000.000.040.001.RH_1min.csv\"\n",
" }\n",
" ],\n",
" \"productCode\": \"DP1.00098.001\"\n",
" },\n",
" \"status\": 200\n",
"}\n"
]
}
],
"source": [
"data_response = requests.get(SERVER + 'data/' + PRODUCTCODE + '/' + SITECODE + '/' + '2016-04')\n",
"data_response_json = data_response.json()\n",
"print(json.dumps(data_response_json, indent=2))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There's a list of URL's in there that we can call for a file. Let's look at those."
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[\n",
" \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.003.000.030.RH_30min.csv?package=basic\",\n",
" \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.003.000.001.RH_1min.csv?package=basic\",\n",
" \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.000.040.030.RH_30min.csv?package=basic\",\n",
" \"http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.000.040.001.RH_1min.csv?package=basic\"\n",
"]\n"
]
}
],
"source": [
"data_urls = data_response_json['data']['urls']\n",
"print(json.dumps(data_urls, indent=2))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"That's better. It looks like there's a couple 30 minute average files. Let's pull one of those."
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"\"startDateTime\",\"endDateTime\",\"RHMean\",\"RHMinimum\",\"RHMaximum\",\"RHVariance\",\"RHNumPts\",\"RHExpUncert\",\"RHStdErMean\",\"RHFinalQF\",\"tempRHMean\",\"tempRHMinimum\",\"tempRHMaximum\",\"tempRHVariance\",\"tempRHNumPts\",\"tempRHExpUncert\",\"tempRHStdErMean\",\"tempRHFinalQF\",\"dewTempMean\",\"dewTempMinimum\",\"dewTempMaximum\",\"dewTempVariance\",\"dewTempNumPts\",\"dewTempExpUncert\",\"dewTempStdErMean\",\"dewTempFinalQF\"\n",
"\"2016-04-29T17:00:00Z\",\"2016-04-29T17:30:00Z\",,,,,,,,1,,,,,,,,1,,,,,,,,1\n",
"\"2016-04-29T17:30:00Z\",\"2016-04-29T18:00:00Z\",,,,,,,,1,,,,,,,,1,,,,,,,,1\n",
"\"2016-04-29T18:00:00Z\",\"2016-04-29T18:30:00Z\",,,,,,,,1,,,,,,,,1,,,,,,,,1\n",
"\"2016-04-29T18:30:00Z\",\"2016-04-29T19:00:00Z\",,,,,,,,1,,,,,,,,1,,,,,,,,1\n",
"\"2016-04-29T19:00:00Z\",\"2016-04-29T19:30:00Z\",,,,,,,,1,,,,,,,,1,,,,,,,,1\n",
"\"2016-04-29T19:30:00Z\",\"2016-04-29T20:00:00Z\",,,,,,,,1,,,,,,,,1,,,,,,,,1\n",
"\"2016-04-29T20:00:00Z\",\"2016-04-29T20:30:00Z\",,,,,,,,1,,,,,,,,1,,,,,,,,1\n",
"\"2016-04-29T20:30:00Z\",\"2016-04-29T21:00:00Z\",,,,,,,,1,,,,,,,,1,,,,,,,,1\n",
"\"2016-04-29T21:00:00Z\",\"2016-04-29T21:30:00Z\",95.52681227876922775976709090173244476318,91.30000309999999785759428050369024276733,98.30000309999999785759428050369024276733,,1625,2.20111121415977661897045436489861458539,0.0349663305907477323097864996270800475031,0,10.68782767603692285263150552054867148399,9.88000010999999922489678283454850316047,12.10000040000000076645392255159094929695,0.3235126929679236762460448062483919784426,1625,0.1920841975190474282264574412693036720156,0.0141097389817851307652896153399524337146,0,9.95289229801846175860191578976809978485,9.02999973000000011325028026476502418518,11.31000039999999984274836606346070766448,0.3324161360069596282684756261005531996488,1625,0.1718465715962437523334216393777751363813,0.0143025793479457027923551493131526513025,0\n",
"\"2016-04-29T21:30:00Z\",\"2016-04-29T22:00:00Z\",88.16442976742281700808234745636582374572,82.83000180000000511881808051839470863342,95.77999880000000132440618472173810005187,,1587,2.20374842539034521138319178135134279727,0.064240023370219737075537125292612472549,0,11.87352868632640223722773953340947628021,11.61999989999999982615008775610476732254,12.43000029999999966889845381956547498703,0.0416464337905241288595448168052826076745,1587,0.190276033586087772730977007995534222573,0.005122717961541485912069227026677253888919,0,9.92499683414618694143882748903706669807,8.88000010999999922489678283454850316047,11.51000020000000034769982448779046535491,0.2976097390901141781505145900155184790492,1587,0.184757428490479130855916878317657392472,0.0136941508054484913092796460887257126159,0\n",
"\"2016-04-29T22:00:00Z\",\"2016-04-29T22:30:00Z\",84.04762346647905246754817198961973190307,73.68000030000000322161213262006640434265,88.66000370000000430081854574382305145263,,1599,2.20233361241962821708284536725841462612,0.05067874404839031732272758290491765365,0,11.95090058686679235222527495352551341056,11.61999989999999982615008775610476732254,13.93000029999999966889845381956547498703,0.2454846588663696926868595937776262871921,1599,0.1916092259178206747005646093384712003171,0.0123904747369344234858568043478044273797,0,9.28979987679799990019091637805104255676,8.34000014999999983444922690978273749351,11.03999999999999914734871708787977695465,0.2640443867312259329516166417306521907448,1599,0.2027406751646211591211255154121317900717,0.0128503287331437499735331542183303099591,0\n",
"\"2016-04-29T22:30:00Z\",\"2016-04-29T23:00:00Z\",73.00554051865348981209535850211977958679,64.44000239999999735118763055652379989624,82.51999659999999892079358687624335289001,,1619,2.20665677838045981573600329284090548753,0.0856360577858845117837915950076421722769,0,14.57491042075355203166964201955124735832,12.89000030000000052154973673168569803237,15.53999999999999914734871708787977695465,0.5874282025281565289276386465644463896751,1619,0.1937816706827449608763203059424995444715,0.0190482013100700398045006522806943394243,0,9.72965412810376761854058713652193546295,8.30000019000000044400167098501697182655,11.36999989999999982615008775610476732254,0.5424018701866616387619046690815594047307,1619,0.2283701237698206876203244064527098089456,0.0183036273299080447241049540707535925321,0\n",
"\"2016-04-29T23:00:00Z\",\"2016-04-29T23:30:00Z\",70.31936308548682745822588913142681121826,61.02999880000000132440618472173810005187,81.48999790000000587042450206354260444641,,1633,2.21037025563376365866474770882632583379,0.1069306632711942706137620007211808115243,0,15.03288426166564661912161682266741991043,12.92000009999999932119862933177500963211,16.59000019999999864239725866355001926422,0.6543037618294872403978956754144746810197,1633,0.1941718404969122457881525178891024552285,0.0200168906299050854136201138544493005611,0,9.59843232984078298386521055363118648529,8.06999968999999950369783618953078985214,11.14000030000000052154973673168569803237,0.3854814959354740389052551563509041443467,1633,0.2382330723151868945297593427312676794826,0.0153641548447671846822082386552210664376,0\n",
"\"2016-04-29T23:30:00Z\",\"2016-04-30T00:00:00Z\",65.00177725959410679479333339259028434753,57.02000050000000186400939128361642360687,73.48999790000000587042450206354260444641,,1626,2.20727587983036732666164425609167665243,0.0895360397841580279987283574882894754409,0,15.75599016746617131445873383199796080589,13.81000039999999984274836606346070766448,17.03000069999999865899553697090595960617,1.22316618543357646942126848443876951932,1626,0.197760003302881404163571232857066206634,0.0274272624698294574530077483132117777131,0,9.12332719897909072415131959132850170135,7.78999996000000027862597562489099800586,11.18000029999999966889845381956547498703,0.5422704598752423610363848638371564447879,1626,0.2537114010095891103446774650365114212036,0.0182619732728955715128638104260971886105,0\n",
"\"2016-04-30T00:00:00Z\",\"2016-04-30T00:30:00Z\",67.54811893897058894253859762102365493774,63.49000170000000053960320656187832355499,71.01000209999999412957549793645739555358,,1632,2.2012056653904057412773909163661301136,0.0364224564891530849797263158507121261209,0,13.23705271243872516606643330305814743041,12.73999979999999965230017551220953464508,13.81000039999999984274836606346070766448,0.0693767402867323246251629598191357217729,1632,0.1904469506978637427518918912028311751782,0.006519989074272671686349767128376697655767,0,7.31304534629289193503609567414969205856,6.46000003999999972137402437510900199413,8.56999968999999950369783618953078985214,0.1684026760998640070976506422084639780223,1632,0.2286409591448666789315069536314695142209,0.0101581452183396887117838858216600783634,0\n",
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"\"2016-04-30T20:00:00Z\",\"2016-04-30T20:30:00Z\",53.77077158750765306649554986506700515747,47.759998299999999460396793438121676445,61.99000170000000053960320656187832355499,,1633,2.20394742856501268946090021927375346422,0.0659247068221208570859559472410182934254,0,17.21967543937538280829357972834259271621,15.78999999999999914734871708787977695465,18.94000050000000001659827830735594034194,0.6184478389380507756811766739701852202415,1633,0.1939455472404514047024548517583752982318,0.0194606994632654795029935712591395713388,0,7.70480097845070499573694178252480924129,6.03999996000000027862597562489099800586,9.28999995999999939044755592476576566696,0.3829632238652673215106858606304740533232,1633,0.2966050565789878357136899467150215059518,0.0153138871665620662082529790382068313192,0\n",
"\"2016-04-30T20:30:00Z\",\"2016-04-30T21:00:00Z\",50.79031416056685088733502198010683059692,46.90999980000000135760274133644998073577,56.65000150000000189720594789832830429077,,1623,2.20225364197813311406548564264085143804,0.0498023684325093612956791844226245302706,0,18.28382004812076289113065286073833703994,17.44000050000000001659827830735594034194,18.97999950000000168870428751688450574874,0.1996946702691845265675851806008722633123,1623,0.1912907782646415533189809821124072186648,0.0110923605365614141166075157229897740762,0,7.85963647667898968052213604096323251724,6.65000009999999974752427078783512115478,9.30000019000000044400167098501697182655,0.3213574048015452877535835796152241528034,1623,0.3010177818205540534179931455582845956087,0.0140713218229294931282957747953332727774,0\n",
"\"2016-04-30T21:00:00Z\",\"2016-04-30T21:30:00Z\",49.48710734965859359135720296762883663177,45.33000179999999801339072291739284992218,55.31000139999999731799107394181191921234,,1611,2.20226710432752037505110820347908884286,0.0499509729713065731004917324753478169441,0,19.30634386722532624958148517180234193801,18.37000079999999968549673212692141532897,20.29999919999999846709215489681810140609,0.2267722911075709391059973540905048139393,1611,0.1914760029152055009760147186170797795057,0.0118644394345433466797512522816759883426,0,8.41684668296710114532288571354001760482,6.86999988999999988692479746532626450061,9.8500003800000008880033419700339436531,0.3047768909113781066189119428599951788783,1611,0.3106469661416745853266263566183624789118,0.0137544505727969623015694011769483040552,0\n",
"\"2016-04-30T21:30:00Z\",\"2016-04-30T22:00:00Z\",45.82470035546634790080133825540542602539,41.34000019999999864239725866355001926422,51.38000110000000120180629892274737358093,,1619,2.20244339046847503738035811693407595157,0.051857709692653949917762190580106107518,0,20.60829527529338989211282751057296991348,19.4599991000000009933046385413035750389,21.4599991000000009933046385413035750389,0.2860681044726542388012546780373668298125,1619,0.1918509246289162861742738641623873263597,0.0132926415825647264989939344559388700872,0,8.46791845281037680592817196156829595565,7.40999985000000016555077309021726250648,9.30000019000000044400167098501697182655,0.1647005418612170479786271926059271208941,1619,0.3383970481566364596481832904828479513525,0.0100861190415384577301338708821276668459,0\n",
"\"2016-04-30T22:00:00Z\",\"2016-04-30T22:30:00Z\",45.92064635097560909571257070638239383697,43.02000050000000186400939128361642360687,49.93000030000000322161213262006640434265,,1640,2.20100330417810408079049011575989425182,0.0332247836822583339499992405308148590847,0,21.15384757304877894057426601648330688476,20.34000019999999864239725866355001926422,21.59000019999999864239725866355001926422,0.1039392370252327085777821480405691545456,1640,0.1906659653273438392862004775452078320086,0.007961003928649398181383034511782170739024,0,9.00483537268902445305229775840416550636,7.40000009999999974752427078783512115478,10.18999960000000015725163393653929233551,0.2083784981628413190968274193437537178397,1640,0.3260800283563807244746612923336215317249,0.0112720920797956154768559855483545106835,0\n",
"\"2016-04-30T22:30:00Z\",\"2016-04-30T23:00:00Z\",47.14057689741586898435343755409121513366,43.20000079999999798019416630268096923828,50.59000019999999864239725866355001926422,,1664,2.20084660075724691807863564463332295417,0.0305195022269682154913983396227195044048,0,21.22742177668269292212244181428104639053,20.79999919999999846709215489681810140609,21.7099991000000009933046385413035750389,0.0502916910551149884400778944382182089611,1664,0.190317874851820612036590318894013762474,0.005497578742347788635647098942627053475007,0,9.4623257128125004555840860120952129364,8.6000003800000008880033419700339436531,10.52000050000000008765255188336595892906,0.1245998234146849792391975597638520412147,1664,0.325144434459667563963591874198755249381,0.008653305817508422093098374716646503657102,0\n",
"\"2016-04-30T23:00:00Z\",\"2016-04-30T23:30:00Z\",46.25943761968215284241523477248847484588,43.04000090000000255940904025919735431671,50.20000079999999798019416630268096923828,,1636,2.20119018276100852915533323539420962333,0.0361877765393284894779313276558241341263,0,21.60389964896087988677209068555384874343,21.14999960000000100990291684865951538085,22.12999920000000031450326787307858467102,0.0705906373601448422494542001004447229206,1636,0.1904536511736630577384943308061338029801,0.006568737423952323607745373834632118814624,0,9.52242662862469479989613319048658013343,8.55000019000000044400167098501697182655,10.53999999999999914734871708787977695465,0.1369595539894802593838818438598536886274,1636,0.3263113927051791152145199248479912057518,0.009149650747188431409995246212929487228393,0\n",
"\"2016-04-30T23:30:00Z\",\"2016-05-01T00:00:00Z\",45.74497167296786415136011783033609390258,43.09999849999999810279405210167169570922,49.13000110000000120180629892274737358093,,1587,2.2008557194005393675695358979282900691,0.0306834548986321467567428555867081740871,0,21.35906738071833643743957509286701679229,20.94000050000000001659827830735594034194,21.98999979999999965230017551220953464508,0.0827150938812428321300629363577172625809,1587,0.1905478460862097267458636906667379662394,0.007219446794835975705906250254884071182459,0,9.13519219569628226906843337928876280784,8.31000041999999972119894664501771330833,9.86999989000000077510321716545149683952,0.109063939452034894261878150700795231387,1587,0.3259237749574249165540607009461382403969,0.008289954118645467134873783265902602579444,0\n"
]
}
],
"source": [
"csv_data_response = requests.get('http://data.neonscience.org:80/api/v0/data/DP1.00098.001/ABBY/2016-04/NEON.D16.ABBY.DP1.00098.001.00000.003.000.030.RH_30min.csv?package=basic')\n",
"print(csv_data_response.text)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"collapsed": true
},
"source": [
"And there's the data we want. Maybe we should do something with it?"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.axes._subplots.AxesSubplot at 0x117bc9320>"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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db5/YaZjxDY4kPg3TMPFW1XzdI1NGTrrh/Bf9eaP2/wHDjDGDgH5ANOvKWvsp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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x117b97b00>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%matplotlib inline\n",
"import pandas\n",
"from io import StringIO\n",
"\n",
"#Since the data is in memory and not a file, we need to convert it before loading it into a pandas DataFrame\n",
"final_data = StringIO(csv_data_response.text)\n",
"df = pandas.read_csv(final_data)\n",
"\n",
"ax = df.plot(kind='scatter', x='RHMean', y='RHMinimum', color='Blue', label='RHMinimum')\n",
"\n",
"\n",
"df.plot(kind='scatter', x='RHMean', y='RHMaximum', color='Green', label='RHMaximum', ax=ax)"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-py"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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