python_globals().ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "order_list = np.array([0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0, 5.5, 6.0, 6.5, 7.0, 7.5, 8.0])\n",
    "engine_speed_1 = 4500.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Engine 0.5 Order: [0.5]\n",
      "Engine 1.0 Order: [1.]\n",
      "Engine 1.5 Order: [1.5]\n",
      "Engine 2.0 Order: [2.]\n",
      "Engine 2.5 Order: [2.5]\n",
      "Engine 3.0 Order: [3.]\n",
      "Engine 3.5 Order: [3.5]\n",
      "Engine 4.0 Order: [4.]\n",
      "Engine 4.5 Order: [4.5]\n",
      "Engine 5.0 Order: [5.]\n",
      "Engine 5.5 Order: [5.5]\n",
      "Engine 6.0 Order: [6.]\n",
      "Engine 6.5 Order: [6.5]\n",
      "Engine 7.0 Order: [7.]\n",
      "Engine 7.5 Order: [7.5]\n",
      "Engine 8.0 Order: [8.]\n"
     ]
    }
   ],
   "source": [
    "for i in order_list:\n",
    "    globals()['order_%s' % i] = np.array([i])\n",
    "    print (\"Engine %s\" % i, \"Order:\", globals()['order_%s' % i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Engine 0.5 Order Frequency: [37.5]\n",
      "Engine 1.0 Order Frequency: [75.]\n",
      "Engine 1.5 Order Frequency: [112.5]\n",
      "Engine 2.0 Order Frequency: [150.]\n",
      "Engine 2.5 Order Frequency: [187.5]\n",
      "Engine 3.0 Order Frequency: [225.]\n",
      "Engine 3.5 Order Frequency: [262.5]\n",
      "Engine 4.0 Order Frequency: [300.]\n",
      "Engine 4.5 Order Frequency: [337.5]\n",
      "Engine 5.0 Order Frequency: [375.]\n",
      "Engine 5.5 Order Frequency: [412.5]\n",
      "Engine 6.0 Order Frequency: [450.]\n",
      "Engine 6.5 Order Frequency: [487.5]\n",
      "Engine 7.0 Order Frequency: [525.]\n",
      "Engine 7.5 Order Frequency: [562.5]\n",
      "Engine 8.0 Order Frequency: [600.]\n"
     ]
    }
   ],
   "source": [
    "for i in order_list:\n",
    "    print (\"Engine %s\" % i, \"Order Frequency:\", (globals()['order_%s' % i]*engine_speed_1/60))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Variable Names:  ['order_0.5']\n",
      "Variable Names:  ['order_1.0']\n",
      "Variable Names:  ['order_1.5']\n",
      "Variable Names:  ['order_2.0']\n",
      "Variable Names:  ['order_2.5']\n",
      "Variable Names:  ['order_3.0']\n",
      "Variable Names:  ['order_3.5']\n",
      "Variable Names:  ['order_4.0']\n",
      "Variable Names:  ['order_4.5']\n",
      "Variable Names:  ['order_5.0']\n",
      "Variable Names:  ['order_5.5']\n",
      "Variable Names:  ['order_6.0']\n",
      "Variable Names:  ['order_6.5']\n",
      "Variable Names:  ['order_7.0']\n",
      "Variable Names:  ['order_7.5']\n",
      "Variable Names:  ['order_8.0']\n"
     ]
    }
   ],
   "source": [
    "for i in order_list:\n",
    "    print (\"Variable Names: \", ['order_%s' % i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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