Rearrange Array Elements.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The Engineering World\n",
    "\n",
    "## Rearranging Array Elements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "my_start_array = np.array(np.arange(24))\n",
    "my_3_8_array = my_start_array.reshape((3,8))\n",
    "my_2_3_4_array = my_3_8_array.reshape((2,3,4))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### fliplr \"flip left right\"\n",
    "from: http://docs.scipy.org/doc/numpy/reference/generated/numpy.fliplr.html#numpy.fliplr\n",
    "\n",
    "Flip array in the left/right direction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0,  1,  2,  3,  4,  5,  6,  7],\n",
       "       [ 8,  9, 10, 11, 12, 13, 14, 15],\n",
       "       [16, 17, 18, 19, 20, 21, 22, 23]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_3_8_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 7,  6,  5,  4,  3,  2,  1,  0],\n",
       "       [15, 14, 13, 12, 11, 10,  9,  8],\n",
       "       [23, 22, 21, 20, 19, 18, 17, 16]])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.fliplr(my_3_8_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 0,  1,  2,  3],\n",
       "        [ 4,  5,  6,  7],\n",
       "        [ 8,  9, 10, 11]],\n",
       "\n",
       "       [[12, 13, 14, 15],\n",
       "        [16, 17, 18, 19],\n",
       "        [20, 21, 22, 23]]])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_2_3_4_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 8,  9, 10, 11],\n",
       "        [ 4,  5,  6,  7],\n",
       "        [ 0,  1,  2,  3]],\n",
       "\n",
       "       [[20, 21, 22, 23],\n",
       "        [16, 17, 18, 19],\n",
       "        [12, 13, 14, 15]]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.fliplr(my_2_3_4_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[16, 17, 18, 19, 20, 21, 22, 23],\n",
       "       [ 8,  9, 10, 11, 12, 13, 14, 15],\n",
       "       [ 0,  1,  2,  3,  4,  5,  6,  7]])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.flipud(my_3_8_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[12, 13, 14, 15],\n",
       "        [16, 17, 18, 19],\n",
       "        [20, 21, 22, 23]],\n",
       "\n",
       "       [[ 0,  1,  2,  3],\n",
       "        [ 4,  5,  6,  7],\n",
       "        [ 8,  9, 10, 11]]])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.flipud(my_2_3_4_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16,\n",
       "       17, 18, 19, 20, 21, 22, 23])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_start_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([19, 20, 21, 22, 23,  0,  1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11,\n",
       "       12, 13, 14, 15, 16, 17, 18])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.roll(my_start_array, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21,\n",
       "       22, 23,  0,  1,  2,  3,  4])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.roll(my_start_array, -5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[22, 23,  0,  1],\n",
       "        [ 2,  3,  4,  5],\n",
       "        [ 6,  7,  8,  9]],\n",
       "\n",
       "       [[10, 11, 12, 13],\n",
       "        [14, 15, 16, 17],\n",
       "        [18, 19, 20, 21]]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.roll(my_2_3_4_array, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[ 2,  3,  4,  5],\n",
       "        [ 6,  7,  8,  9],\n",
       "        [10, 11, 12, 13]],\n",
       "\n",
       "       [[14, 15, 16, 17],\n",
       "        [18, 19, 20, 21],\n",
       "        [22, 23,  0,  1]]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.roll(my_2_3_4_array, -2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 0,  1,  2,  3,  4,  5,  6,  7],\n",
       "       [ 8,  9, 10, 11, 12, 13, 14, 15],\n",
       "       [16, 17, 18, 19, 20, 21, 22, 23]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_3_8_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 7, 15, 23],\n",
       "       [ 6, 14, 22],\n",
       "       [ 5, 13, 21],\n",
       "       [ 4, 12, 20],\n",
       "       [ 3, 11, 19],\n",
       "       [ 2, 10, 18],\n",
       "       [ 1,  9, 17],\n",
       "       [ 0,  8, 16]])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.rot90(my_3_8_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[16,  8,  0],\n",
       "       [17,  9,  1],\n",
       "       [18, 10,  2],\n",
       "       [19, 11,  3],\n",
       "       [20, 12,  4],\n",
       "       [21, 13,  5],\n",
       "       [22, 14,  6],\n",
       "       [23, 15,  7]])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.rot90(my_3_8_array, k= -1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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