visualisation/tutorials/Symbol_simple.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "source": [
    "# Exploring different Symbol options in Magics\n",
    "\n",
    "This notebook will help you discover lots of posibilities for plotting symbols on your maps in Magics."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "Symbol plotting in Magics is the plotting of different types of symbols at selected locations. A symbol in this context is a number (the value at the location), a text string (given by the user) or a Magics marker.  \n",
    "\n",
    "The Magics marker set contains classic markers such as dot, cross, square but also weather or clouds symbols.\n",
    "\n",
    "List of all **msymbol** parameters you can find [in Magics documentation](https://confluence.ecmwf.int/display/MAGP/Symbol \"Symbol parameters\")\n",
    "\n",
    "Magics has built in collection of meteorological symbols and all you have to do is give it WMO code. Full list of WMO codes and descriptions for present/past weather, sky cover, pressure tendency and clouds you can find [on Wikipedia](https://commons.wikimedia.org/wiki/Weather_map \"Weather map symbols\").  \n",
    "\n",
    "Here are Magics names for meteorological symbols:\n",
    "\n",
    "|marker type | names |\n",
    "|---------|--------|\n",
    "| present weather | ww_00,.., ww_99  |  \n",
    "| past weather | W_0,.., W_9 |\n",
    "| low clouds | CL_1,.., CL_9 |\n",
    "| medium clouds | CM_1,.., CM_9 |\n",
    "| high clouds | CH_1,.., CH_9 |\n",
    "| type of cloud| C_0,.., C_9|\n",
    "| total amount all clouds | N_0,.., N9 |\n",
    "| atmospheric pressure tendency | a_0,.., a_9 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here is list of built in symbol indices:\n",
    "\n",
    "![Magics symbol indices](https://confluence.ecmwf.int/download/attachments/14156168/symbol_marker.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Install Magics\n",
    "If you don't have Magics installed, run the next cell to install Magics using conda."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Install Magics in the current Jupyter kernel\n",
    "import sys\n",
    "!conda install --yes --prefix {sys.prefix} Magics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true,
    "slideshow": {
     "slide_type": "subslide"
    }
   },
   "source": [
    "### Import Magics and define non Symbol paramters\n",
    "\n",
    "For start let's import Magics and define some **none symbol** parameters. We will try not to change these much in the rest of the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "slideshow": {
     "slide_type": "slide"
    }
   },
   "outputs": [],
   "source": [
    "import Magics.macro as magics\n",
    "import numpy as np\n",
    "\n",
    "central_europe = magics.mmap(\n",
    "    subpage_map_library_area = \"on\",\n",
    "    subpage_map_area_name    = \"central_europe\",\n",
    "    page_id_line             = \"off\"\n",
    ")\n",
    "\n",
    "coast = magics.mcoast()\n",
    "\n",
    "legend = magics.mlegend(legend_display_type       = \"continuous\")\n",
    "\n",
    "# Different meteorological parameters we will plot in this notebook\n",
    "tcc   = magics.mgeo(geo_input_file_name = \"../../data/tcc.gpt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simbols on geographical map\n",
    "\n",
    "The simplest thing we can do is to plot same simbol for all points in our dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "symbol = magics.msymb( \n",
    "    legend              = \"off\", \n",
    "    symbol_type         = \"marker\",\n",
    "    symbol_colour       = \"evergreen\", \n",
    "    symbol_height       = 1.,\n",
    "    symbol_marker_index = 20)\n",
    "\n",
    "magics.plot(central_europe, tcc, symbol, coast)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Simbols on cartesian projection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Setting the cartesian view\n",
    "cartesian_projection = magics.mmap( \n",
    "    subpage_y_position     = 2., \n",
    "    subpage_map_projection = 'cartesian',\n",
    "    subpage_x_axis_type    = 'regular',\n",
    "    subpage_y_axis_type    = 'regular',\n",
    "    subpage_x_min          = 10.,\n",
    "    subpage_x_max          = 40.,\n",
    "    subpage_y_min          = 20.,\n",
    "    subpage_y_max          = 100.,\n",
    "    page_id_line           = \"off\")\n",
    "\n",
    "#Vertical axis\n",
    "vertical = magics.maxis(\n",
    "    axis_orientation       = \"vertical\",\n",
    "    axis_type              = \"regular\",\n",
    "    axis_tick_label_height = 0.4,\n",
    "    axis_tick_label_colour = 'navy',\n",
    "    axis_grid              = \"on\",\n",
    "    axis_grid_colour       = \"grey\",\n",
    "    axis_grid_thickness    = 1,\n",
    "    axis_grid_line_style   = \"dot\")\n",
    "\n",
    "#Horizontal axis\n",
    "horizontal = magics.maxis(\n",
    "    axis_orientation       = \"horizontal\",\n",
    "    axis_type              = \"regular\",\n",
    "    axis_tick_label_height = 0.4,\n",
    "    axis_tick_label_colour = 'navy',\n",
    "    axis_grid              = \"on\",\n",
    "    axis_grid_colour       = \"grey\",\n",
    "    axis_grid_thickness    = 1,\n",
    "    axis_grid_line_style   = \"dot\")\n",
    "\n",
    "\n",
    "#define  the  data \n",
    "x = np.array([15.,25.,35.])\n",
    "y = np.array([30.,60.,45.])\n",
    "\n",
    "input = magics.minput(\n",
    "    input_x_values = x,\n",
    "    input_y_values = y)\n",
    "\n",
    "#Define the graph \n",
    "symbol = magics.msymb( \n",
    "    symbol_type         = \"marker\",\n",
    "    symbol_colour       = \"burgundy\",\n",
    "    symbol_height       = 1.,\n",
    "    symbol_marker_index = 15\n",
    "    )\n",
    "\n",
    "magics.plot(cartesian_projection, vertical, horizontal, input, symbol)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Attach a text to a symbol\n",
    "\n",
    "We can attach text to a symbol on the left or right side, at top or bottom of the symbol or over the symbol."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bottom = np.array([30.,30.,30.])\n",
    "left = np.array([45.,45.,45.])\n",
    "right = np.array([60.,60.,60.])\n",
    "top = np.array([75.,75.,75.])\n",
    "middle = np.array([90.,90.,90.])\n",
    "\n",
    "topinput = magics.minput(\n",
    "    input_x_values = x,\n",
    "    input_y_values = top)\n",
    "\n",
    "#Define the graph \n",
    "toptext = magics.msymb( \n",
    "    symbol_type             =  \"marker\",\n",
    "    symbol_colour           =  \"navy\",\n",
    "    symbol_text_list        = [\"top\", \"top\", \"top\"],\n",
    "    symbol_height           = 1.,\n",
    "    symbol_text_font_size   = 0.8,\n",
    "    symbol_text_font_colour = \"black\",\n",
    "    symbol_text_position    = \"top\",\n",
    "    symbol_marker_index     = 15\n",
    "    )\n",
    "\n",
    "leftinput = magics.minput(\n",
    "    input_x_values = x,\n",
    "    input_y_values = left)\n",
    "\n",
    "#Define the graph \n",
    "lefttext = magics.msymb( \n",
    "    symbol_type             = \"marker\",\n",
    "    symbol_colour           = \"ochre\",\n",
    "    symbol_text_list        = [\"left\", \"left\", \"left\"],\n",
    "    symbol_height           = 1.,\n",
    "    symbol_text_font_size   = 0.8,\n",
    "    symbol_text_font_colour = \"black\",\n",
    "    symbol_text_position    = \"left\",\n",
    "    symbol_marker_index     = 15\n",
    "    )\n",
    "\n",
    "rightinput = magics.minput(\n",
    "    input_x_values = x,\n",
    "    input_y_values = right)\n",
    "\n",
    "#Define the graph \n",
    "righttext = magics.msymb( \n",
    "    symbol_type             = \"marker\",\n",
    "    symbol_colour           = \"chestnut\",\n",
    "    symbol_text_list        = [\"one\",\"two\",\"five\"],\n",
    "    symbol_height           = 1.,\n",
    "    symbol_text_font_size   = 0.8,\n",
    "    symbol_text_font_colour = \"black\",\n",
    "    symbol_text_position    = \"right\",\n",
    "    symbol_marker_index     = 15\n",
    "    )\n",
    "\n",
    "bottominput = magics.minput(\n",
    "    input_x_values = x,\n",
    "    input_y_values = bottom)\n",
    "\n",
    "#Define the graph \n",
    "bottomtext = magics.msymb( \n",
    "    symbol_type             = \"marker\",\n",
    "    symbol_colour           = \"rose\",\n",
    "    symbol_text_list        = [\"bottom\"],\n",
    "    symbol_height           = 1.,\n",
    "    symbol_text_font_size   =  0.8,\n",
    "    symbol_text_font_colour =  \"black\",\n",
    "    symbol_text_position    = \"bottom\",\n",
    "    symbol_marker_index     = 15\n",
    "    )\n",
    "\n",
    "centreinput = magics.minput(\n",
    "    input_x_values = x,\n",
    "    input_y_values = middle)\n",
    "\n",
    "#Define the graph \n",
    "centretext = magics.msymb( \n",
    "    symbol_type             = \"marker\",\n",
    "    symbol_colour           = \"sky\",\n",
    "    symbol_text_list        = [\"a\", \"b\", \"centre\"],\n",
    "    symbol_height           = 1.2,\n",
    "    symbol_text_font_size   = 0.8,\n",
    "    symbol_text_font_colour = \"black\",\n",
    "    symbol_text_position    = \"centre\",\n",
    "    symbol_marker_index     = 15\n",
    "    )\n",
    "\n",
    "magics.plot(cartesian_projection, vertical, horizontal, topinput, toptext, \n",
    "            leftinput, lefttext, bottominput, bottomtext,\n",
    "            rightinput, righttext, centreinput, centretext)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Using pictogram\n",
    "\n",
    "We can also use external images. If we don't specify symbol_image_format, the file extension will be used to determine the file type. Here's a simple example."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Setting the cartesian view\n",
    "cartesian = magics.mmap( \n",
    "    subpage_y_position     = 2., \n",
    "    subpage_map_projection = 'cartesian',\n",
    "    subpage_x_axis_type    = 'date',\n",
    "    subpage_y_axis_type    = 'regular',\n",
    "    subpage_x_date_min     = \"2012-03-01 12:00:00\",\n",
    "    subpage_x_date_max     = \"2012-03-07 12:00:00\",\n",
    "    subpage_y_min          = 25.,\n",
    "    subpage_y_max          = 75.,\n",
    "    page_id_line           = \"off\")\n",
    "\n",
    "#Vertical axis\n",
    "vertical = magics.maxis(\n",
    "    axis_orientation       = \"vertical\",\n",
    "    axis_type              = \"regular\",\n",
    "    axis_tick_label_height = 0.4,\n",
    "    axis_tick_label_colour = 'navy',\n",
    "    axis_grid              = \"on\",\n",
    "    axis_grid_colour       = \"grey\",\n",
    "    axis_grid_thickness    = 1,\n",
    "    axis_grid_line_style   = \"dot\")\n",
    "\n",
    "#Horizontal axis\n",
    "horizontal = magics.maxis(\n",
    "    axis_orientation         = \"horizontal\",\n",
    "    axis_type                = \"date\",\n",
    "    axis_days_label_height   = 0.40,\n",
    "    axis_months_label_height = 0.40,\n",
    "    axis_years_label_height  = 0.50,\n",
    "    axis_minor_tick          = \"on\",\n",
    "    axis_grid                = \"on\",\n",
    "    axis_grid_colour         = \"grey\",\n",
    "    axis_grid_thickness      = 1,\n",
    "    axis_grid_line_style     = \"dot\")\n",
    "\n",
    "\n",
    "\n",
    "#define  the  data \n",
    "x =  [\"2012-03-02 00:00:00\",\"2012-03-03 12:00:00\",\"2012-03-05 00:00:00\"]\n",
    "y = np.array([35.,45.,55.])\n",
    "\n",
    "\n",
    "input = magics.minput(\n",
    "    input_x_type        = 'date',\n",
    "    input_date_x_values = x,\n",
    "    input_y_values      = y)\n",
    "\n",
    "#Define the graph \n",
    "symbols = magics.msymb( \n",
    "    legend              = 'on',\n",
    "    symbol_type         = \"marker\",\n",
    "    symbol_marker_mode  = \"image\",\n",
    "    symbol_image_path   = 'D96.png',\n",
    "    symbol_image_format = 'png',\n",
    "    symbol_colour       = \"red\"\n",
    "    )\n",
    "\n",
    "legend = magics.mlegend(\n",
    "    legend_user_text      = \"<font colour='navy' size='0.7'> Pictograms </font>\",\n",
    "    legend_box_mode       = \"positional\",\n",
    "    legend_box_y_position = 16.5,\n",
    "    legend_box_x_position = 20.00,\n",
    "    legend_box_x_length   = 5.00,\n",
    "    legend_box_y_length   = 2.00)\n",
    "\n",
    "\n",
    "\n",
    "#To the plot\n",
    "magics.plot(cartesian, vertical, horizontal, input, symbols, legend)"
   ]
  }
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