{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# How to set up a cartesian projection with Magics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### First import Magics\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import Magics.macro as magics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "###### First we have to define a cartesian projection.\n",
    "This can be done use the magics.mmap object. <br/>\n",
    "The documentation can be found in the  <a href='https://software.ecmwf.int/wiki/display/MAGP/Subpage+-+Projection'> Manual</a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ls6mlNZtSuufxdb26lf7svleqh5QPGdBj/u/XHFfdb8nq7f3Lu27ZuW/rzsbh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\n/K0msAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "map = magics.mmap(subpage_map_projection = \"cartesian\",\n",
    "                  subpage_x_axis_type = 'regular',\n",
    "                  subpage_y_axis_type = 'regular',\n",
    "                  subpage_x_min = -100.,\n",
    "                  subpage_x_max = +200.,\n",
    "                  subpage_y_min = -20.,\n",
    "                  subpage_y_max = 20. )\n",
    "horizontal_axis = magics.maxis(axis_orientation = \"horizontal\",)\n",
    "vertical_axis = magics.maxis(axis_orientation = \"vertical\",)\n",
    "title = magics.mtext(text_lines=['Cartesian projection'])\n",
    "magics.plot(map, horizontal_axis, vertical_axis, title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "###### Now we can explore the attributes of the axis : colour, grid, minor ticks etc .. \n",
    "https://software.ecmwf.int/wiki/display/MAGP/Axis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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YXdeebdue8AudNeisQWcNOmvY1pktQhHbtif8QmcNOmvQWYPOGrZ1ZotQxLbt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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "horizontal_axis = magics.maxis(axis_orientation = \"horizontal\",\n",
    "                               axis_grid = \"on\",\n",
    "                               axis_grid_line_style = \"solid\",\n",
    "                               axis_grid_thickness = 1,\n",
    "                               axis_grid_colour = \"grey\",\n",
    "                               axis_minor_tick ='on',\n",
    "                               axis_minor_grid ='on',\n",
    "                               axis_minor_grid_line_style = \"dot\",\n",
    "                               axis_minor_grid_colour = \"grey\",\n",
    "                               )\n",
    "vertical_axis = magics.maxis(axis_orientation = \"vertical\",\n",
    "                               axis_grid = \"on\",\n",
    "                               axis_grid_line_style = \"solid\",\n",
    "                               axis_grid_thickness = 1,\n",
    "                               axis_grid_colour = \"grey\",)\n",
    "title = magics.mtext(text_lines=['Cartesian projection', 'Discovering the axis attributes'])\n",
    "magics.plot(map, horizontal_axis, vertical_axis, title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### You can add a title to this axis "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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fj1q3bm/7l/laP6J2TgzAOYpLhIB/Wrdu75gxfcxPo6JCc3Lmf/zxwfXr940Y8eRPf3p+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\nTIIYsAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "horizontal_axis = magics.maxis(axis_orientation = \"horizontal\",\n",
    "                               axis_grid = \"on\",\n",
    "                               axis_grid_line_style = \"solid\",\n",
    "                               axis_grid_thickness = 1,\n",
    "                               axis_grid_colour = \"grey\",\n",
    "                               axis_minor_tick ='on',\n",
    "                               axis_minor_grid ='on',\n",
    "                               axis_minor_grid_line_style = \"dot\",\n",
    "                               axis_minor_grid_colour = \"grey\",\n",
    "                               axis_title = 'on',\n",
    "                               axis_title_text = \"Example of <font colour='evergreen'> coloured title </font>\"\n",
    "                               )\n",
    "vertical_axis = magics.maxis(axis_orientation = \"vertical\",\n",
    "                               axis_grid = \"on\",\n",
    "                               axis_grid_line_style = \"solid\",\n",
    "                               axis_grid_thickness = 1,\n",
    "                               axis_grid_colour = \"grey\",\n",
    "                               axis_tip_title = 'on',\n",
    "                               axis_tip_title_text = \"Units\",\n",
    "                               axis_tip_title_colour = \"rgb(0.16,0.38,0.51)\")\n",
    "magics.plot(map, horizontal_axis, vertical_axis, title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### You can define a specific list of ticks :\n",
    "axis_type = 'position_list'\n",
    "axis_tick_position_list --> the list of ticks you want in the system coordinates."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### You can also use you own labels "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CAIhMYAEARCawAAAiE1gAAJEJLACAyAQWAEBkAgsAIDKBBQAQmcACAIhMYAEARCawAAAi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\nBQP6dg57kv8PamPEei2IljgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "horizontal_axis = magics.maxis(axis_orientation = \"horizontal\",\n",
    "                               axis_grid = \"on\",\n",
    "                               axis_grid_line_style = \"solid\",\n",
    "                               axis_grid_thickness = 1,\n",
    "                               axis_grid_colour = \"grey\",\n",
    "                               axis_minor_tick ='on',\n",
    "                               axis_minor_grid ='on',\n",
    "                               axis_minor_grid_line_style = \"dot\",\n",
    "                               axis_minor_grid_colour = \"grey\",\n",
    "                               axis_title = 'on',\n",
    "                               axis_title_text = \"Playing with a specific tick list...\",\n",
    "                               axis_type = 'position_list',\n",
    "                               axis_tick_position_list = [-100., -75., 0, 100, 150., 200.],\n",
    "                               axis_tick_label_type = \"label_list\",\n",
    "                               axis_tick_label_list = [\"label 1\", \n",
    "                                                       \"label 2\", \n",
    "                                                       \"<font colour='red'> origin </font>\", \n",
    "                                                       \"label 3\", \n",
    "                                                       \"label 4\", \n",
    "                                                       \"Final label\",],\n",
    "                              )\n",
    "                              \n",
    "vertical_axis = magics.maxis(axis_orientation = \"vertical\",\n",
    "                               axis_grid = \"on\",\n",
    "                               axis_grid_line_style = \"solid\",\n",
    "                               axis_grid_thickness = 1,\n",
    "                               axis_grid_colour = \"grey\",\n",
    "                               axis_tip_title = 'on',\n",
    "                               axis_tip_title_text = \"Units\",\n",
    "                               axis_tip_title_colour = \"rgb(0.16,0.38,0.51)\")\n",
    "magics.plot(map, horizontal_axis, vertical_axis, title)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "######  Now let's work with some dates ..\n",
    "subpage_x_axis_type = <b> date </b>\n",
    "\n",
    "The format expected for <i>subpage_x_date_min</i> and <i>subpage_x_date_max</i> is YYYY-MM-DD HH:MM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import datetime\n",
    "now = datetime.datetime.today()\n",
    "start_date = now.strftime(\"%Y-%m-%d 00:00\")\n",
    "later = now + datetime.timedelta(days=10)\n",
    "end_date = later.strftime(\"%Y-%m-%d 00:00\")\n",
    "map = magics.mmap(subpage_map_projection = \"cartesian\",\n",
    "                  subpage_x_axis_type = 'date',\n",
    "                  subpage_y_axis_type = 'logarithmic',\n",
    "                  subpage_x_date_min = start_date,\n",
    "                  subpage_x_date_max = end_date,\n",
    "                  subpage_y_min = 1000.,\n",
    "                  subpage_y_max = 20. )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "###### But we have to redefine the horizontal axis too .. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dMubrtgK9tFIy9NJKydBLKyVDL62UjK+9rHBpwPJ1W4FeWikZemmlZOillZKhl1ZKxtde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\nA2ggAQGiiLxnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "horizontal_axis = magics.maxis(axis_orientation = \"horizontal\",\n",
    "                               axis_type = 'date',\n",
    "                               axis_grid = \"on\",\n",
    "                               axis_grid_line_style = \"solid\",\n",
    "                               axis_grid_thickness = 1,\n",
    "                               axis_grid_colour = \"grey\",\n",
    "                               axis_minor_tick ='on',\n",
    "                               axis_minor_grid ='on',\n",
    "                               axis_minor_grid_line_style = \"dot\",\n",
    "                               axis_minor_grid_colour = \"grey\",\n",
    "                               axis_title = 'on',\n",
    "                               axis_title_text = \"Playing with time axis...\",\n",
    "                               )\n",
    "vertical_axis = magics.maxis(axis_orientation = \"vertical\",\n",
    "                               axis_type = \"logarithmic\",\n",
    "                              axis_grid = \"on\",\n",
    "                               axis_grid_line_style = \"solid\",\n",
    "                               axis_grid_thickness = 1,\n",
    "                               axis_grid_colour = \"grey\",\n",
    "                             \n",
    "                             )\n",
    "magics.plot(map, horizontal_axis, vertical_axis, title)"
   ]
  },
  {
   "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": "2.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
