{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "Numpy 1.ipynb",
"version": "0.3.2",
"provenance": [],
"collapsed_sections": [],
"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/Tanu-N-Prabhu/Python/blob/master/Numpy/Numpy_1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "Ta9eb8MHW-EJ",
"colab_type": "text"
},
"source": [
"# Python Numpy tutorial"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TKvYfcCqW3fa",
"colab_type": "text"
},
"source": [
"## This notebook helps to understand numpy from scratch, this exercise was taken from python data science handbook.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "7mfPM-H8Y8ob",
"colab_type": "text"
},
"source": [
""
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "fTabKGXIXxTQ",
"colab_type": "text"
},
"source": [
"## 1) Create a length-10 integer array filled with zeros\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "0MzRAnM-W2iK",
"colab_type": "code",
"outputId": "74ab7651-7f3b-414e-c77f-dec96e90cc0b",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
}
},
"source": [
"import numpy as np\n",
"a = np.zeros(10, dtype = int)\n",
"a"
],
"execution_count": 12,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0])"
]
},
"metadata": {
"tags": []
},
"execution_count": 12
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "8Ury1CAPXzSk",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dYjRdHopX19p",
"colab_type": "text"
},
"source": [
"## 2) Create a 3x5 floating-point array filled with 1s\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "VOpOMiVWXbOy",
"colab_type": "code",
"outputId": "eb95fe66-4865-40f1-e2a9-35c6ca86d8dc",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
}
},
"source": [
"a = np.ones((3,5), dtype = float)\n",
"a"
],
"execution_count": 22,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[1., 1., 1., 1., 1.],\n",
" [1., 1., 1., 1., 1.],\n",
" [1., 1., 1., 1., 1.]])"
]
},
"metadata": {
"tags": []
},
"execution_count": 22
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "IyFgzU4PX3-W",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ZAaaM1WMX5-e",
"colab_type": "text"
},
"source": [
"## 3) Create a 3x5 array filled with 3.14\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "5ibzOFejXdBw",
"colab_type": "code",
"outputId": "b1fc4739-e833-4c67-8333-3f7b726786f0",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
}
},
"source": [
"a = np.full((3,5), 3.14)\n",
"a"
],
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[3.14, 3.14, 3.14, 3.14, 3.14],\n",
" [3.14, 3.14, 3.14, 3.14, 3.14],\n",
" [3.14, 3.14, 3.14, 3.14, 3.14]])"
]
},
"metadata": {
"tags": []
},
"execution_count": 14
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "XU6sXESHX7Yq",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DBjESrc-X-Jd",
"colab_type": "text"
},
"source": [
"## 4) Create an array filled with a linear sequence. Starting at 0, ending at 20, stepping by 2 (this is similar to the built-in range() function)."
]
},
{
"cell_type": "code",
"metadata": {
"id": "SmnG7bsJXXNd",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "3a764070-9ab5-4eff-d3c4-470b6b17419c"
},
"source": [
"np.arange(0, 20, 2)"
],
"execution_count": 15,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([ 0, 2, 4, 6, 8, 10, 12, 14, 16, 18])"
]
},
"metadata": {
"tags": []
},
"execution_count": 15
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "pD6cSanKYDBc",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "dv690QypYFvA",
"colab_type": "text"
},
"source": [
"## 5) Create an array of five values evenly spaced between 0 and 1"
]
},
{
"cell_type": "code",
"metadata": {
"id": "jQ4TWY29XeMG",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "4d7d9357-7554-4c2a-de94-a8ddd82f3906"
},
"source": [
"np.linspace(0, 1, 5)"
],
"execution_count": 16,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([0. , 0.25, 0.5 , 0.75, 1. ])"
]
},
"metadata": {
"tags": []
},
"execution_count": 16
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "neH26JU1YHfn",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "J_lovxi_YNlH",
"colab_type": "text"
},
"source": [
"## 6) Create a 3x3 array of uniformly distributed random values between 0 and 1"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "a9nBsRDnYQfx",
"colab_type": "text"
},
"source": [
"**HINT when you just use np.random(3, 3), then you get this error: 'module' object is not callable**"
]
},
{
"cell_type": "code",
"metadata": {
"id": "c3h2AQNnXfbj",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
},
"outputId": "3267695e-3b10-4fe8-e60d-a4b6bdb503ff"
},
"source": [
"a = np.random.random((3, 3))\n",
"a"
],
"execution_count": 17,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[0.92882601, 0.15277742, 0.61847288],\n",
" [0.26835166, 0.1343164 , 0.13999919],\n",
" [0.43270145, 0.89307018, 0.52218327]])"
]
},
"metadata": {
"tags": []
},
"execution_count": 17
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "-WlPKcHgYSSu",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "WYCxtYkJYVd4",
"colab_type": "text"
},
"source": [
"## 7) Create a 3x3 array of normally distributed random values with mean 0 and standard deviation 1"
]
},
{
"cell_type": "code",
"metadata": {
"id": "597oUpxWXjN_",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
},
"outputId": "39b82f9f-3c37-4625-ad71-3c4027d41b68"
},
"source": [
"a = np.random.normal(0, 1, (3, 3))\n",
"a"
],
"execution_count": 18,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[ 0.54278146, -0.29350707, -0.76737292],\n",
" [-0.00821164, -0.49738633, 0.13785728],\n",
" [ 1.27666228, -1.43017619, -1.2518886 ]])"
]
},
"metadata": {
"tags": []
},
"execution_count": 18
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "BuNlmsZrYW0G",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "41u4LXXmYZIf",
"colab_type": "text"
},
"source": [
"## 8) Create a 3x3 array of random integers in the interval [0, 10)\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "T9A9H2q-Xm8W",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
},
"outputId": "ba885c13-5a6f-487a-a41e-64b75311c8a2"
},
"source": [
"a = np.random.randint(0, 10, (3, 3))\n",
"a"
],
"execution_count": 19,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[8, 7, 3],\n",
" [7, 7, 0],\n",
" [1, 7, 8]])"
]
},
"metadata": {
"tags": []
},
"execution_count": 19
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "jifmAAzTYb0F",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "zCM5oKA_YdRG",
"colab_type": "text"
},
"source": [
"## 9) Create a 3x3 identity matrix\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "LdN51hmlXo0g",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 69
},
"outputId": "7c59f2a2-b635-49f8-eee4-1764296f1da7"
},
"source": [
"a = np.eye(3)\n",
"a"
],
"execution_count": 20,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([[1., 0., 0.],\n",
" [0., 1., 0.],\n",
" [0., 0., 1.]])"
]
},
"metadata": {
"tags": []
},
"execution_count": 20
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "oi9JH0mmYe5j",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "5aX0jBwDYijO",
"colab_type": "text"
},
"source": [
"## 10) Create an uninitialized array of three integers. The values will be whatever happens to already exist at that memory location\n"
]
},
{
"cell_type": "code",
"metadata": {
"id": "-UwNYT1tXrG1",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "ad7bbd04-67ae-4036-b1f4-8af588731413"
},
"source": [
"np.empty(3)"
],
"execution_count": 21,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([1., 1., 1.])"
]
},
"metadata": {
"tags": []
},
"execution_count": 21
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "DCsFgrFUYkFD",
"colab_type": "text"
},
"source": [
"\n",
"\n",
"---\n",
"\n"
]
}
]
}