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contributors/segundev.txt

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+Jayeola Gbenga

twitter_mining/Numpy Task.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Numpy Tasks"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Task_1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Question 1. Create a numpy array with 6X5 2D array from 10 upwards"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[10, 11, 12, 13, 14],\n",
+       "       [15, 16, 17, 18, 19],\n",
+       "       [20, 21, 22, 23, 24],\n",
+       "       [25, 26, 27, 28, 29],\n",
+       "       [30, 31, 32, 33, 34],\n",
+       "       [35, 36, 37, 38, 39]])"
+      ]
+     },
+     "execution_count": 2,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "array = np.arange(10,40).reshape(6,5)\n",
+    "array"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Question 2. From question 1, reshape the numpy array to any shape of your choice and return the max value from each column."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([30, 31, 32, 33, 34, 35, 36, 37, 38, 39])"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "array.reshape(3,10).max(axis=0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Question 3. Create a numpy array A with np.ones with a shape of (3,4). Create another array using the np.arange with a shape of (3,4). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 0,  1,  2,  3],\n",
+       "       [ 4,  5,  6,  7],\n",
+       "       [ 8,  9, 10, 11]])"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "array1 = np.ones((3,4))\n",
+    "array2 = np.arange(12).reshape(3,4)\n",
+    "array2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Question 4. Perform arithmetic operations (+,-,*,/) on the two arrays from question 3."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The addition of both arrays \n",
+      " [[ 1.  2.  3.  4.]\n",
+      " [ 5.  6.  7.  8.]\n",
+      " [ 9. 10. 11. 12.]]\n",
+      "\n",
+      "+++++++++++++++++++++++++++++++++\n",
+      "\n",
+      "The difference of both arrays \n",
+      " [[  1.   0.  -1.  -2.]\n",
+      " [ -3.  -4.  -5.  -6.]\n",
+      " [ -7.  -8.  -9. -10.]]\n",
+      "\n",
+      "+++++++++++++++++++++++++++++++++\n",
+      "\n",
+      "The product of both arrays \n",
+      " [[ 0.  1.  2.  3.]\n",
+      " [ 4.  5.  6.  7.]\n",
+      " [ 8.  9. 10. 11.]]\n",
+      "\n",
+      "+++++++++++++++++++++++++++++++++\n",
+      "\n",
+      "The division of both arrays \n",
+      " [[       inf 1.         0.5        0.33333333]\n",
+      " [0.25       0.2        0.16666667 0.14285714]\n",
+      " [0.125      0.11111111 0.1        0.09090909]]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\user\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:4: RuntimeWarning: divide by zero encountered in true_divide\n",
+      "  after removing the cwd from sys.path.\n"
+     ]
+    }
+   ],
+   "source": [
+    "add = array1 + array2\n",
+    "diff = array1 - array2\n",
+    "prod = array1 * array2\n",
+    "div = array1 / array2\n",
+    "\n",
+    "print('The addition of both arrays \\n', add)\n",
+    "print('\\n+++++++++++++++++++++++++++++++++\\n')\n",
+    "print('The difference of both arrays \\n', diff)\n",
+    "print('\\n+++++++++++++++++++++++++++++++++\\n')\n",
+    "print('The product of both arrays \\n', prod)\n",
+    "print('\\n+++++++++++++++++++++++++++++++++\\n')\n",
+    "print('The division of both arrays \\n', div)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Question 5. From question 4, transpose the results of each arithmetic operation."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The transpose of the arrays addition \n",
+      " [[ 1.  5.  9.]\n",
+      " [ 2.  6. 10.]\n",
+      " [ 3.  7. 11.]\n",
+      " [ 4.  8. 12.]]\n",
+      "\n",
+      "+++++++++++++++++++++++++++++++++\n",
+      "\n",
+      "The transpose of the arrays difference \n",
+      " [[  1.  -3.  -7.]\n",
+      " [  0.  -4.  -8.]\n",
+      " [ -1.  -5.  -9.]\n",
+      " [ -2.  -6. -10.]]\n",
+      "\n",
+      "+++++++++++++++++++++++++++++++++\n",
+      "\n",
+      "The transpose of the arrays multiplication \n",
+      " [[ 0.  4.  8.]\n",
+      " [ 1.  5.  9.]\n",
+      " [ 2.  6. 10.]\n",
+      " [ 3.  7. 11.]]\n",
+      "\n",
+      "+++++++++++++++++++++++++++++++++\n",
+      "\n",
+      "The transpose of the arrays division \n",
+      " [[       inf 0.25       0.125     ]\n",
+      " [1.         0.2        0.11111111]\n",
+      " [0.5        0.16666667 0.1       ]\n",
+      " [0.33333333 0.14285714 0.09090909]]\n",
+      "\n",
+      "+++++++++++++++++++++++++++++++++\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('The transpose of the arrays addition \\n',   add.T)\n",
+    "print('\\n+++++++++++++++++++++++++++++++++\\n')\n",
+    "print('The transpose of the arrays difference \\n',   diff.T)\n",
+    "print('\\n+++++++++++++++++++++++++++++++++\\n')\n",
+    "print('The transpose of the arrays multiplication \\n',   prod.T)\n",
+    "print('\\n+++++++++++++++++++++++++++++++++\\n')\n",
+    "print('The transpose of the arrays division \\n',  div.T)\n",
+    "print('\\n+++++++++++++++++++++++++++++++++\\n')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}