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2c77520
Created using Colaboratory
Said113 Oct 19, 2018
3024b3b
add q 5
Said113 Oct 19, 2018
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156 changes: 156 additions & 0 deletions Numpy/exercises.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,156 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "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/Said113/Machine-Learning/blob/master/Numpy/exercises.ipynb)"
]
},
{
"metadata": {
"id": "jTlLW6CdyQKo",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# **NumPy Exercises for Data Analysis**"
]
},
{
"metadata": {
"id": "Fc-F34DryPjY",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 1. Import numpy as np and see the version ?"
]
},
{
"metadata": {
"id": "2FROXdSeykQo",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"import numpy as np\n",
"#np.version this just for show numpy Path \n",
"np.version.version"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "3gUCcUm_yrgf",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 2. How to create a 1D array?"
]
},
{
"metadata": {
"id": "kWkYCtoZykTE",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"#here you can solve this problem with many solutions\n",
"a=np.array([1,2,3,4,5]) #here you can pass any sequence like(tuble,list,dict,set)\n",
"b=np.arange(5)\n",
"c=np.array(range(1,6))\n",
"e=np.ones(5,\"int\")\n",
"f=np.zeros(5,dtype=\"int8\")\n",
"j=np.random.choice(2,5)"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "n5DnkuMsy_Tm",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 3. How to create a boolean array?\n",
"##### Q Create a 3×3 numpy array of all True’s !!"
]
},
{
"metadata": {
"id": "xsyqlkpaykSV",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"a=np.ones(9,dtype='bool').reshape(3,3)"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "FPpLU-YtzTp9",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 4 Extract all odd numbers from arr ?\n",
"##### arr=np.array([1,2,3,4,5,6,7,8,9])"
]
},
{
"metadata": {
"id": "FoLZzUi4zUBk",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"arr=np.array([1,2,3,4,5,6,7,8,9])\n",
"a=arr[::2]\n",
"b=arr[arr%2!=0]\n",
"c=np.where(arr%2!=0) #this statement if you want to know the positions of the elements"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "F7h9cfSB2h_8",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
217 changes: 217 additions & 0 deletions exercises.ipynb
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,217 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "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/Said113/Machine-Learning/blob/ex_said/exercises.ipynb)"
]
},
{
"metadata": {
"id": "jTlLW6CdyQKo",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"# **NumPy Exercises for Data Analysis**"
]
},
{
"metadata": {
"id": "Fc-F34DryPjY",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 1. Import numpy as np and see the version ?"
]
},
{
"metadata": {
"id": "2FROXdSeykQo",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "9f89af6f-d785-45b4-df9a-784f268be604"
},
"cell_type": "code",
"source": [
"import numpy as np\n",
"#np.version this just for show numpy Path \n",
"np.version.version"
],
"execution_count": 2,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'1.14.6'"
]
},
"metadata": {
"tags": []
},
"execution_count": 2
}
]
},
{
"metadata": {
"id": "3gUCcUm_yrgf",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 2. How to create a 1D array?"
]
},
{
"metadata": {
"id": "kWkYCtoZykTE",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"#here you can solve this problem with many solutions\n",
"a=np.array([1,2,3,4,5]) #here you can pass any sequence like(tuble,list,dict,set)\n",
"b=np.arange(5)\n",
"c=np.array(range(1,6))\n",
"e=np.ones(5,\"int\")\n",
"f=np.zeros(5,dtype=\"int8\")\n",
"j=np.random.choice(2,5)"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "n5DnkuMsy_Tm",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 3. How to create a boolean array?\n",
"##### Q Create a 3×3 numpy array of all True’s !!"
]
},
{
"metadata": {
"id": "xsyqlkpaykSV",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"a=np.ones(9,dtype='bool').reshape(3,3)"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "FPpLU-YtzTp9",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 4 Extract all odd numbers from arr ?\n",
"##### arr=np.array([1,2,3,4,5,6,7,8,9])"
]
},
{
"metadata": {
"id": "FoLZzUi4zUBk",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
"arr=np.array([1,2,3,4,5,6,7,8,9])\n",
"a=arr[::2]\n",
"b=arr[arr%2!=0]\n",
"c=np.where(arr%2!=0) #this statement if you want to know the positions of the elements"
],
"execution_count": 0,
"outputs": []
},
{
"metadata": {
"id": "jsnIR8CcC23h",
"colab_type": "text"
},
"cell_type": "markdown",
"source": [
"### 5 How to replace items that satisfy a condition with another value in numpy array?\n",
"###### Q. Replace all odd numbers in arr with -1 "
]
},
{
"metadata": {
"id": "F7h9cfSB2h_8",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "a1b20d98-c2d3-421f-e8d9-c51a0c578df5"
},
"cell_type": "code",
"source": [
"arr=np.array([1,2,3,4,5,6,7,8,9])\n",
"c=np.where(arr%2!=0)\n",
"arr[c]=-1\n",
"arr"
],
"execution_count": 3,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"array([-1, 2, -1, 4, -1, 6, -1, 8, -1])"
]
},
"metadata": {
"tags": []
},
"execution_count": 3
}
]
},
{
"metadata": {
"id": "J5NNN_PMDgEM",
"colab_type": "code",
"colab": {}
},
"cell_type": "code",
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}