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Numpy-Assignment- Completed #1

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91c1ba7
Numpy example completed
MSoumen Feb 27, 2020
fc371dc
Completed Questions/List 1
MSoumen Feb 28, 2020
7cfbb32
completed _Excercise_numpy_
MSoumen Feb 29, 2020
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375 changes: 375 additions & 0 deletions Copy_of_Excercise_numpy_.ipynb
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Copy of Excercise numpy .ipynb",
"provenance": [],
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/MSoumen/Numpy-Assignment-/blob/soumen_mahata/Copy_of_Excercise_numpy_.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "a_4UupTr9fbX",
"colab_type": "text"
},
"source": [
"# Numpy Exercises\n",
"\n",
"1) Create a uniform subdivision of the interval -1.3 to 2.5 with 64 subdivisions"
]
},
{
"cell_type": "code",
"metadata": {
"id": "LIP5u4zi0Nmg",
"colab_type": "code",
"outputId": "e52b5c12-ebfd-48ac-a9a1-a97503a1a143",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 202
}
},
"source": [
"import numpy as np #import numpy\n",
"arr1=np.linspace(-1.3,2.5,64)\n",
"print(arr1)"
],
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"text": [
"[-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"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dBoH_A7M9jjL",
"colab_type": "text"
},
"source": [
"2) Generate an array of length 3n filled with the cyclic pattern 1, 2, 3"
]
},
{
"cell_type": "code",
"metadata": {
"id": "4TxT66309n1o",
"colab_type": "code",
"outputId": "ee2c0dcf-ed07-49d0-a4f6-9701d986cf81",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"arr2=np.arange(1,4)\n",
"print(arr2)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"[1 2 3]\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Vh-UKizx9oTp",
"colab_type": "text"
},
"source": [
"3) Create an array of the first 10 odd integers."
]
},
{
"cell_type": "code",
"metadata": {
"id": "ebhEUZq29r32",
"colab_type": "code",
"outputId": "ab79b833-9ae8-457b-89b5-81f88f718864",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"arr3=np.arange(20)\n",
"oddArr=arr3[arr3%2!=0]\n",
"print(oddArr)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"[ 1 3 5 7 9 11 13 15 17 19]\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "QfJRdMat90f4",
"colab_type": "text"
},
"source": [
"4) Find intersection of a and b"
]
},
{
"cell_type": "code",
"metadata": {
"id": "gOlfuJCo-JwF",
"colab_type": "code",
"outputId": "ed551b1a-7f2e-4b29-bd91-334b0404d156",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
}
},
"source": [
"#expected output array([2, 4])\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",
"intersect=set(a) & set(b)\n",
"print(intersect)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"{2, 4}\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "RtVCf0UoCeB8",
"colab_type": "text"
},
"source": [
"5) Reshape 1d array a to 2d array of 2X5"
]
},
{
"cell_type": "code",
"metadata": {
"id": "2E8b55_2Cjx5",
"colab_type": "code",
"outputId": "cc7d88b8-7b4b-46c6-ecd1-412da9951e8e",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 50
}
},
"source": [
"a = np.arange(10).reshape(2,5)\n",
"print(a)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"[[0 1 2 3 4]\n",
" [5 6 7 8 9]]\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dVrSBW1zEjp2",
"colab_type": "text"
},
"source": [
"6) Create a numpy array to list and vice versa"
]
},
{
"cell_type": "code",
"metadata": {
"id": "tcBCyhXPEp9C",
"colab_type": "code",
"outputId": "960843ba-c7ed-4d65-dde7-7b7cc19dfdbc",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 50
}
},
"source": [
"a = [1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
"a=np.array(a)\n",
"print(a,type(a))\n",
"a=list(a)\n",
"print(a,type(a))"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"[1 2 3 4 5 6 7 8 9] <class 'numpy.ndarray'>\n",
"[1, 2, 3, 4, 5, 6, 7, 8, 9] <class 'list'>\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "JNqX8wnz9sQJ",
"colab_type": "text"
},
"source": [
"7) Create a 10 x 10 arrays of zeros and then \"frame\" it with a border of ones."
]
},
{
"cell_type": "code",
"metadata": {
"id": "4bjP3JAc9vRD",
"colab_type": "code",
"outputId": "0c988f22-eb38-4aae-acad-1def7b27752c",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 185
}
},
"source": [
"zeroArr=np.zeros((10,10),dtype=int)\n",
"zeroArr[:,[0,-1]]=1\n",
"zeroArr[[0,-1],:]=1\n",
"print(zeroArr)"
],
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
"text": [
"[[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"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "xaQgf8tT9v-n",
"colab_type": "text"
},
"source": [
"8) Create an 8 x 8 array with a checkerboard pattern of zeros and ones using a slicing+striding approach."
]
},
{
"cell_type": "code",
"metadata": {
"id": "No7fx0Xy9zEh",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 151
},
"outputId": "8d45c65f-97bb-46ef-9900-aed59453a2c9"
},
"source": [
"chess=np.zeros((8,8),dtype=int)\n",
"chess[1::2,1::2]=1\n",
"chess[::2,::2]=1\n",
"chess\n"
],
"execution_count": 2,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[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",
" [0, 1, 0, 1, 0, 1, 0, 1]])"
]
},
"metadata": {
"tags": []
},
"execution_count": 2
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "tlOWop0MlZIp",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
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