{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Make an iris cube"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from iris.coords import DimCoord\n",
    "from iris.cube import Cube\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define cube coordinates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "ysize = 20\n",
    "xsize = 10\n",
    "\n",
    "lats = np.linspace(-90, 90, ysize)\n",
    "lons = np.linspace(0, 360,  xsize)\n",
    "\n",
    "latitude  = DimCoord(lats, standard_name='latitude',  units='degrees')\n",
    "longitude = DimCoord(lons, standard_name='longitude', units='degrees')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Build cube"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "long_name = 'something'\n",
    "units     = 'kg'\n",
    "\n",
    "cube = Cube(    np.zeros((ysize, xsize), np.float32), \n",
    "                dim_coords_and_dims=[(latitude, 0),(longitude, 1)], \n",
    "                long_name=long_name, units=units \n",
    "           )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "something / (kg)                    (latitude: 20; longitude: 10)\n",
      "     Dimension coordinates:\n",
      "          latitude                           x              -\n",
      "          longitude                          -              x\n"
     ]
    }
   ],
   "source": [
    "print(cube)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Insert data in cube\n",
    "make sure the shape matches!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "cube.data = my_numpy_array"
   ]
  }
 ],
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
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