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Problem Solved #85

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bb40cbf
Problem Solved
Sayan46 Sep 30, 2018
c4f267b
Created using Colaboratory
Sayan46 Oct 4, 2018
1b754a2
Problem solved !
Sayan46 Oct 4, 2018
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358 changes: 358 additions & 0 deletions Numpy_Exercises.ipynb
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Original file line number Diff line number Diff line change
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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Numpy_Exercises.ipynb",
"version": "0.3.2",
"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": [
"[View in Colaboratory](https://colab.research.google.com/github/Sayan46/Assignment-2/blob/Sayan46/Numpy_Exercises.ipynb)"
]
},
{
"metadata": {
"id": "a_4UupTr9fbX",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# Numpy Exercises\n",
"\n",
"1) Create a uniform subdivision of the interval -1.3 to 2.5 with 64 subdivisions"
]
},
{
"metadata": {
"id": "LIP5u4zi0Nmg",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 202
},
"outputId": "34d9f53c-d444-4c2b-8d79-72fffde0b0c5"
},
"cell_type": "code",
"source": [
"import numpy as np \n",
"s = np.random.uniform(-1.3,2.5,64)\n",
"print(s)\n"
],
"execution_count": 2,
"outputs": [
{
"output_type": "stream",
"text": [
"[ 1.29714042 0.05382672 2.11603915 0.46257789 0.39152661 -0.14922545\n",
" 1.6112405 1.97758278 -1.23275156 -0.43644515 -0.83081985 -0.20409018\n",
" 0.9461046 -1.21474827 1.0501915 -0.65469646 0.21974205 2.0357349\n",
" -0.0210625 0.2303843 0.03695057 -0.22360614 1.57105111 0.44567277\n",
" -0.31814993 -0.33186138 1.83457452 0.64501397 -0.72027239 0.31311365\n",
" 2.22288395 -0.43783351 -0.5531905 -0.11004932 0.04434198 1.6141596\n",
" 1.29484714 -0.88055521 0.90784743 2.24186256 0.6197379 1.82008514\n",
" 2.14463852 2.4116079 0.80386049 -0.43050777 1.02151095 0.89904801\n",
" 1.44200865 0.00406608 1.20474749 1.03238049 -0.79745927 0.13132264\n",
" -0.04273136 -0.11766145 -0.8821126 1.15447771 2.12783845 0.59703821\n",
" 0.49830412 0.71234306 1.27832384 1.6935996 ]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "dBoH_A7M9jjL",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"2) Generate an array of length 3n filled with the cyclic pattern 1, 2, 3"
]
},
{
"metadata": {
"id": "4TxT66309n1o",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "a6353d5f-0b60-4b22-ba90-b6de1e10f3e7"
},
"cell_type": "code",
"source": [
"n=3\n",
"x = np.array([1,2,3])\n",
"y = np.tile(x,n)\n",
"print(y)"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"[1 2 3 1 2 3 1 2 3]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "Vh-UKizx9oTp",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"3) Create an array of the first 10 odd integers."
]
},
{
"metadata": {
"id": "ebhEUZq29r32",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "70fa21ec-cae3-44b7-8e78-188cfeab4d26"
},
"cell_type": "code",
"source": [
"a=np.array([1,3,5,7,9,11,13,15,17,19])\n",
"print(a)"
],
"execution_count": 11,
"outputs": [
{
"output_type": "stream",
"text": [
"[ 1 3 5 7 9 11 13 15 17 19]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "QfJRdMat90f4",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"4) Find intersection of a and b"
]
},
{
"metadata": {
"id": "gOlfuJCo-JwF",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "cdcdcdd1-c262-4b6b-dc33-1c3122db770d"
},
"cell_type": "code",
"source": [
"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",
"print(np.intersect1d(a,b))"
],
"execution_count": 8,
"outputs": [
{
"output_type": "stream",
"text": [
"[2 4]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "RtVCf0UoCeB8",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"5) Reshape 1d array a to 2d array of 2X5"
]
},
{
"metadata": {
"id": "2E8b55_2Cjx5",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 50
},
"outputId": "24cfe21c-9147-4e8c-f483-a8072e2c8639"
},
"cell_type": "code",
"source": [
"new = np.reshape(a,(2,5))\n",
"print(new)"
],
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"text": [
"[[1 2 3 2 3]\n",
" [4 3 4 5 6]]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "dVrSBW1zEjp2",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"6) Create a numpy array to list and vice versa"
]
},
{
"metadata": {
"id": "tcBCyhXPEp9C",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 50
},
"outputId": "2e74837a-614f-48f2-c4d3-2bfe25987616"
},
"cell_type": "code",
"source": [
"a=np.array([1, 2, 3, 4, 5, 6, 7, 8, 9])\n",
"b=(a.tolist())\n",
"print(b)\n",
"a1=np.asarray(b)\n",
"print(a1)"
],
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"text": [
"[1, 2, 3, 4, 5, 6, 7, 8, 9]\n",
"[1 2 3 4 5 6 7 8 9]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "JNqX8wnz9sQJ",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"7) Create a 10 x 10 arrays of zeros and then \"frame\" it with a border of ones."
]
},
{
"metadata": {
"id": "4bjP3JAc9vRD",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 202
},
"outputId": "b0ea4aff-611c-4b15-82ff-6e66ae445d50"
},
"cell_type": "code",
"source": [
"d =np.ones(shape=(11,11))\n",
"d[1:-1,1:-1] = 0\n",
"print(d)"
],
"execution_count": 16,
"outputs": [
{
"output_type": "stream",
"text": [
"[[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]]\n"
],
"name": "stdout"
}
]
},
{
"metadata": {
"id": "xaQgf8tT9v-n",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"8) Create an 8 x 8 array with a checkerboard pattern of zeros and ones using a slicing+striding approach."
]
},
{
"metadata": {
"id": "No7fx0Xy9zEh",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 151
},
"outputId": "7bc64148-58d9-43fd-d1ec-f04166c37979"
},
"cell_type": "code",
"source": [
"x = np.ones((3,3))\n",
"x = np.zeros((8,8),dtype=int)\n",
"x[1::2,::2] = 1\n",
"x[::2,1::2] = 1\n",
"print(x)\n"
],
"execution_count": 3,
"outputs": [
{
"output_type": "stream",
"text": [
"[[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"
}
]
}
]
}
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