File: WCS.ipynb

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magics++ 2.30.0-5
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{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Load required libraries\n",
    "\n",
    "import requests\n",
    "import numpy as np\n",
    "import os\n",
    "\n",
    "from Magics import toolbox as magics\n",
    "from ipywidgets import interact\n",
    "import ipywidgets as widgets\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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SMxH7mkOnh/0PHtqR/gGlpsig/MI18yM+tay+sKZUl+HxCAYCLACI4IEnG8et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\n5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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.graph>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "def graph (lat, lon, param, color, style) :\n",
    "    url_fmt = 'http://earthserver.ecmwf.int/rasdaman/ows?service=WCS&version=2.0.1' \\\n",
    "          '&request=ProcessCoverages' \\\n",
    "          '&query=for c in (%s) return encode(c[Lat(%s), Long(%s), ansi(\"%s\":\"%s\")], \"csv\") '\n",
    "\n",
    "    url = url_fmt%(param, lat, lon, \"2000-01-01T00:00:00+00:00\",\"2005-12-31T00:00:00+00:00\")\n",
    "    \n",
    "    r= requests.get(url,\n",
    "                    proxies={'http':None}\n",
    "                    )\n",
    "\n",
    "    r.raise_for_status()\n",
    "\n",
    "    # Store the requested data in a numpy array\n",
    "    yy = np.array(eval(r.text.replace('{','[').replace('}',']')))\n",
    "    xx =  range(len(yy))\n",
    "   \n",
    "    \n",
    "    \n",
    "    return magics.graph(yy, xx, \n",
    "            title = \"Time series %s at %d/%d\" % ( param , lat, lon), \n",
    "            graph = { \"graph_line_colour\" : color, \"graph_line_style\" : style },\n",
    "           )\n",
    "    \n",
    "# , \n",
    "\n",
    "interact(graph, lon=widgets.IntSlider(min=-180,max=180,step=1,value=10,continuous_update=False),\n",
    "         lat=widgets.IntSlider(min=-90,max=90,step=1,value=10,continuous_update=False),\n",
    "         param = widgets.Dropdown(\n",
    "            options=['temp2m', 'precipitation', ],\n",
    "            value='temp2m',\n",
    "        ),\n",
    "        color = widgets.Dropdown(\n",
    "            options=[ \"ecmwf_blue\", 'navy', 'evergreen', ],\n",
    "            value='ecmwf_blue',),\n",
    "        style = widgets.Dropdown(\n",
    "            options=[ \"solid\", 'dash', 'dot', ],\n",
    "            value='solid',) \n",
    "         )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Edit 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"
  },
  "widgets": {
   "state": {
    "e2ad91f584b549f08bcd6ff26212b574": {
     "views": [
      {
       "cell_index": 1
      }
     ]
    }
   },
   "version": "1.2.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}