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Assignment 2 Completed (List + Numpy Exercise) #52

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51cacf7
Assignment 2 Completed (List + Numpy Exercise) (Examples have been tr…
AGCreates Sep 27, 2018
ce1fe30
Numpy Examples Done by AGCreates. List Exercise and Numpy Exercise Al…
AGCreates Oct 2, 2018
3e480a7
Intro to pandas completed (Assigment 5 intro_to_pandas)by AGCreates
AGCreates Jan 26, 2019
0ba9aad
Assigment 2 Numpy Examples solved, therefore whole assignment completed
AGCreates Jan 27, 2019
22134e8
Merge branch 'AGCreates' into AGCreates
AGCreates Jan 27, 2019
d373752
Delete Numpy_Examples_1.ipynb
AGCreates Jan 27, 2019
1c2cdc5
Assignment 2 whole completed (this consists of the last part Numpy Ex…
AGCreates Jan 27, 2019
0ff3979
Delete intro_to_pandas.ipynb
AGCreates Jan 27, 2019
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284 changes: 254 additions & 30 deletions AGCreates.ipynb
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Original file line number Diff line number Diff line change
@@ -1,32 +1,256 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "AGCreates.ipynb",
"version": "0.3.2",
"provenance": [],
"include_colab_link": true
},
"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": "3.5.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"[View in Colaboratory](https://colab.research.google.com/github/AGCreates/Assignment-2/blob/AGCreates/AGCreates.ipynb)"
]
},
{
"metadata": {
"id": "FTBef_OJr-Mu",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 136
},
"outputId": "607f64d3-512a-4b67-8c3c-be3d29a4f5be"
},
"cell_type": "code",
"source": [
"import random\n",
"dummy_list = [x for x in range (10)]\n",
"print (\"Dummy List\", dummy_list)\n",
"dummy_list.reverse()\n",
"print (\" Dummy List Reversed\", dummy_list)\n",
"dummy_list_2 = [2, 200, 16, 4, 1, 0, 9.45, 45.67, 90, 12.01, 12.02]\n",
"dummy_list= dummy_list + dummy_list_2\n",
"print(\"Dummy List after addition \", dummy_list)\n",
"\n",
"dummy_list_freq = []\n",
"dummy_list_unique = []\n",
"for x in dummy_list:\n",
" if x not in dummy_list_unique:\n",
" dummy_list_unique.append(x)\n",
"print (\" Dummy List Unique \",dummy_list_unique)\n",
"\n",
"for x in (dummy_list_unique):\n",
" counter=0\n",
" for y in (dummy_list):\n",
" if x==y:\n",
" counter= counter+1\n",
" dummy_list_freq.append(counter)\n",
" \n",
"dummy_dict = dict()\n",
"for i in range (len(dummy_list_unique)):\n",
" for j in range (len(dummy_list_freq)):\n",
" if i == j: dummy_dict[dummy_list_unique[i]] = dummy_list_freq[j]\n",
"print (\"Dummy Dictionary\", dummy_dict)\n",
"dummy_list.sort()\n",
"print (\"Dummy List Sorted Ascending Order\", dummy_list)\n",
"dummy_list.reverse()\n",
"print (\"Dummy List Sorted Descending Order\",dummy_list) \n",
"dummy_list.remove(200)\n",
"print (\"Dummy List Sorted After removing x= 200\", dummy_list)\n",
"index_remove = random.randint(0, len(dummy_list)-1)\n",
"print (\"Removing the value at radom index \", index_remove, \" which is \")\n",
"dummy_list.pop(index_remove)\n",
"print (\"Dummy List after removal of value at random index \", dummy_list)\n",
"print (\"Cleared Dummy List \", dummy_list.clear())"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"Dummy List [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
" Dummy List Reversed [9, 8, 7, 6, 5, 4, 3, 2, 1, 0]\n",
"Dummy List after addition [9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 2, 200, 16, 4, 1, 0, 9.45, 45.67, 90, 12.01, 12.02]\n",
" Dummy List Unique [9, 8, 7, 6, 5, 4, 3, 2, 1, 0, 200, 16, 9.45, 45.67, 90, 12.01, 12.02]\n",
"Dummy Dictionary {9: 1, 8: 1, 7: 1, 6: 1, 5: 1, 4: 2, 3: 1, 2: 2, 1: 2, 0: 2, 200: 1, 16: 1, 9.45: 1, 45.67: 1, 90: 1, 12.01: 1, 12.02: 1}\n",
"Dummy List Sorted Ascending Order [0, 0, 1, 1, 2, 2, 3, 4, 4, 5, 6, 7, 8, 9, 9.45, 12.01, 12.02, 16, 45.67, 90, 200]\n",
"Dummy List Sorted Descending Order [200, 90, 45.67, 16, 12.02, 12.01, 9.45, 9, 8, 7, 6, 5, 4, 4, 3, 2, 2, 1, 1, 0, 0]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "7wkOxQUpzRl2",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 986
},
"outputId": "877ad255-e68e-4042-ea73-8d701553ec76"
},
"cell_type": "code",
"source": [
"import numpy as np\n",
"\n",
"#Numpy examples have been tried out but haven not been added here.\n",
"#This part consists of the Numpy Exercise only \n",
"\n",
"\n",
"unisub = np.linspace(-1.3, 2.5, 64)\n",
"print (\"Uniform Subdivision: \\n\", unisub) \n",
"\n",
"n = 8\n",
"cyc= np.array([1, 2, 3])\n",
"cyc = np.resize(cyc, 3 * n) \n",
"print(\"Cyclic Pattern \\n\", cyc) \n",
"\n",
"oddarr = np.arange(1, 2 * 10, 2)\n",
"print (\" First 10 odd int array:\\n\", oddarr) \n",
"\n",
"\n",
"a = np.array([1,2,3,2,3,4,3,4,5,6])\n",
"b = np.array([7,2,10,2,7,4,9,4,9,8])\n",
"\n",
"intersect = np.intersect1d(a, b)\n",
"print(\"Intersection array \\n\", intersect)\n",
"\n",
"a = np.arange(10)\n",
" \n",
"a = a.reshape(2, 5)\n",
" \n",
"print(\"Reshaped Array \\n\", a)\n",
"\n",
"\n",
"a = [1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
" \n",
"a = np.array(a)\n",
"print(\"List to Numpy Array: \\n\", a)\n",
" \n",
"a= list(a)\n",
"print(\"Numpy Array to List: \\n\", a)\n",
"\n",
"\n",
"\n",
"\n",
"n = 10\n",
"arr = np.zeros(shape = (n, n))\n",
"print(\"Array of Zeroes: \\n\", arr)\n",
"print()\n",
"arr[n - 1, :] = np.ones(n)\n",
"arr[:, 0] = np.ones(n)\n",
"arr[:, n - 1] = np.ones(n)\n",
"arr[0, :] = np.ones(n)\n",
"print(\"Array of Zeroes bounded by 1:\\n\", arr)\n",
" \n",
"\n",
"n=8 \n",
" \n",
"print(\"Checkerboard:\")\n",
"x = np.zeros((n, n), dtype = int) \n",
"x[1::2, ::2] = 1\n",
"x[::2, 1::2] = 1\n",
" \n",
"for i in range(n): \n",
" for j in range(n): \n",
" print(x[i][j], end= \" \",) \n",
" print() \n",
" "
],
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": [
"Uniform Subdivision: \n",
" [-1.3 -1.23968254 -1.17936508 -1.11904762 -1.05873016 -0.9984127\n",
" -0.93809524 -0.87777778 -0.81746032 -0.75714286 -0.6968254 -0.63650794\n",
" -0.57619048 -0.51587302 -0.45555556 -0.3952381 -0.33492063 -0.27460317\n",
" -0.21428571 -0.15396825 -0.09365079 -0.03333333 0.02698413 0.08730159\n",
" 0.14761905 0.20793651 0.26825397 0.32857143 0.38888889 0.44920635\n",
" 0.50952381 0.56984127 0.63015873 0.69047619 0.75079365 0.81111111\n",
" 0.87142857 0.93174603 0.99206349 1.05238095 1.11269841 1.17301587\n",
" 1.23333333 1.29365079 1.35396825 1.41428571 1.47460317 1.53492063\n",
" 1.5952381 1.65555556 1.71587302 1.77619048 1.83650794 1.8968254\n",
" 1.95714286 2.01746032 2.07777778 2.13809524 2.1984127 2.25873016\n",
" 2.31904762 2.37936508 2.43968254 2.5 ]\n",
"Cyclic Pattern \n",
" [1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3]\n",
" First 10 odd int array:\n",
" [ 1 3 5 7 9 11 13 15 17 19]\n",
"Intersection array \n",
" [2 4]\n",
"Reshaped Array \n",
" [[0 1 2 3 4]\n",
" [5 6 7 8 9]]\n",
"List to Numpy Array: \n",
" [1 2 3 4 5 6 7 8 9]\n",
"Numpy Array to List: \n",
" [1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
"Array of Zeroes: \n",
" [[0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
" [0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]]\n",
"\n",
"Array of Zeroes bounded by 1:\n",
" [[1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]]\n",
"Checkerboard:\n",
"0 1 0 1 0 1 0 1 \n",
"1 0 1 0 1 0 1 0 \n",
"0 1 0 1 0 1 0 1 \n",
"1 0 1 0 1 0 1 0 \n",
"0 1 0 1 0 1 0 1 \n",
"1 0 1 0 1 0 1 0 \n",
"0 1 0 1 0 1 0 1 \n",
"1 0 1 0 1 0 1 0 \n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "dozwmoLWM_jJ",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
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