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Assignment problem solved by Adriraj #7

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2cc97d7
Assignment problem solved by Adriraj
Adriraj-09 Mar 5, 2020
313ecc2
List1 assignment completed by me.
Adriraj-09 Mar 5, 2020
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132 changes: 65 additions & 67 deletions Questions/Excercise numpy .ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -29,18 +29,18 @@
"metadata": {
"id": "LIP5u4zi0Nmg",
"colab_type": "code",
"outputId": "33b2d6e8-8f01-4ae8-baaf-e7b7144dff12",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 210
},
"outputId": "134a627c-b3fe-44de-80c4-e1aad6982509"
"height": 204
}
},
"source": [
"import numpy as np #import numpy\n",
"a = np.linspace(-1.3,2.5,64)\n",
"print(a)"
"b = np.linspace(-1.3,2.5,64)\n",
"print(b)"
],
"execution_count": 3,
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
Expand Down Expand Up @@ -76,28 +76,28 @@
"metadata": {
"id": "4TxT66309n1o",
"colab_type": "code",
"outputId": "c7f9cd9b-c670-432d-ec41-3f47b522e0cb",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 70
},
"outputId": "bbc54490-654d-48b5-e67b-4b2259a4bb4a"
"height": 68
}
},
"source": [
"import numpy as np\n",
"a=np.array([1,2,3])\n",
"print (a)\n",
"n=input(\"Enter the array length : \")\n",
"b=np.resize(a,(3*int(n)))\n",
"s=np.array([1,2,3])\n",
"print (s)\n",
"ns=input(\"Enter the length of the array: \")\n",
"b=np.resize(s,(3*int(ns)))\n",
"print (b)"
],
"execution_count": 2,
"execution_count": 17,
"outputs": [
{
"output_type": "stream",
"text": [
"[1 2 3]\n",
"Enter the array length : 6\n",
"[1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3]\n"
"Enter the length of the array: 5\n",
"[1 2 3 1 2 3 1 2 3 1 2 3 1 2 3]\n"
],
"name": "stdout"
}
Expand All @@ -118,23 +118,23 @@
"metadata": {
"id": "ebhEUZq29r32",
"colab_type": "code",
"outputId": "16ac0d6e-0538-4a55-f6af-ef4c7d14074b",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "9e141103-cd42-4d5e-eb81-2fad744e8d33"
}
},
"source": [
"import numpy as np\n",
"array=np.arange(1,10,2)\n",
"print(array) "
"a=np.arange(1,20,2)\n",
"print(a) "
],
"execution_count": 4,
"outputs": [
{
"output_type": "stream",
"text": [
"[1 3 5 7 9]\n"
"[ 1 3 5 7 9 11 13 15 17 19]\n"
],
"name": "stdout"
}
Expand All @@ -155,24 +155,24 @@
"metadata": {
"id": "gOlfuJCo-JwF",
"colab_type": "code",
"outputId": "c645e5d0-6880-4b90-a242-a04415ab2966",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "8a61deea-16b2-4570-a9a3-a15592e0568e"
}
},
"source": [
"import numpy as np\n",
"array1 = np.array([1,2,3,2,3,4,3,4,5,6])\n",
"array2 = np.array([7,2,10,2,7,4,9,4,9,8])\n",
"print(np.intersect1d(array1,array2))"
"a1 = np.array([1,2,3,4,5])\n",
"a2 = np.array([5,6,7,4,5,3])\n",
"print(np.intersect1d(a1,a2))"
],
"execution_count": 7,
"execution_count": 5,
"outputs": [
{
"output_type": "stream",
"text": [
"[2 4]\n"
"[3 4 5]\n"
],
"name": "stdout"
}
Expand All @@ -193,19 +193,19 @@
"metadata": {
"id": "2E8b55_2Cjx5",
"colab_type": "code",
"outputId": "9561727d-d1d6-4957-ff3d-3c8e1e054a59",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 52
},
"outputId": "9561727d-d1d6-4957-ff3d-3c8e1e054a59"
}
},
"source": [
"import numpy as np\n",
"a = np.array([0,1, 2, 3, 4, 5, 6,7,8,9])\n",
"b = np.reshape(a,(2,5))\n",
"print(b)"
],
"execution_count": 8,
"execution_count": 0,
"outputs": [
{
"output_type": "stream",
Expand All @@ -224,31 +224,31 @@
"colab_type": "text"
},
"source": [
"6) Create a numpy array to list and vice versa"
"6) Change a numpy array to list and vice versa"
]
},
{
"cell_type": "code",
"metadata": {
"id": "TLWmsiiR0-T6",
"colab_type": "code",
"outputId": "71be9de2-b1e8-4c78-a0e3-fbfd9b605df1",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "c9b67724-e858-4367-e411-4bceaf720157"
}
},
"source": [
"import numpy as np\n",
"array = np.array([0,1,2,3,4,5,6,7,8,9])\n",
"array = np.array([1,2,3,3,4,5,6,6,5,9])\n",
"print(array.tolist()) #array to list"
],
"execution_count": 20,
"execution_count": 6,
"outputs": [
{
"output_type": "stream",
"text": [
"[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n"
"[1, 2, 3, 3, 4, 5, 6, 6, 5, 9]\n"
],
"name": "stdout"
}
Expand All @@ -259,24 +259,24 @@
"metadata": {
"id": "DGcqFBR51jfh",
"colab_type": "code",
"outputId": "0e0ab628-6f45-4743-ced3-5e9e0b578e0f",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 34
},
"outputId": "0710a28e-91c5-42ad-ebef-f29f2ee4fe30"
}
},
"source": [
"import numpy as np\n",
"list = [0,1,2,3,4,5,6,7,8,9]\n",
"array = np.array(list)\n",
"print(array) #list to array\n"
"list = [1,2,3,3,4,5,6,6,5,9]\n",
"a = np.array(list)\n",
"print(a) #list to array\n"
],
"execution_count": 23,
"execution_count": 9,
"outputs": [
{
"output_type": "stream",
"text": [
"[0 1 2 3 4 5 6 7 8 9]\n"
"[1 2 3 3 4 5 6 6 5 9]\n"
],
"name": "stdout"
}
Expand All @@ -297,27 +297,27 @@
"metadata": {
"id": "4bjP3JAc9vRD",
"colab_type": "code",
"outputId": "18cf9359-e895-436f-f5a8-ef61da17c75c",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 439
},
"outputId": "c6133be3-6ab5-4093-adb1-140e752eb782"
"height": 425
}
},
"source": [
"import numpy as np\n",
"x = np.zeros((10,10))\n",
"print(\"1st array(10x10):\")\n",
"print(x)\n",
"print(\"after framing:\")\n",
"x = np.pad(x, pad_width=1, mode='constant', constant_values=1)\n",
"print(x)"
"a = np.zeros((10,10))\n",
"print(\"Array of 10X10 before framing:\")\n",
"print(a)\n",
"print(\"Array of 10X10 after framing:\")\n",
"a = np.pad(a, pad_width=1, mode='constant', constant_values=1)\n",
"print(a)"
],
"execution_count": 11,
"execution_count": 12,
"outputs": [
{
"output_type": "stream",
"text": [
"1st array(10x10):\n",
"Array of 10X10 before framing:\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",
Expand All @@ -328,7 +328,7 @@
" [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",
"after framing:\n",
"Array of 10X10 after framing:\n",
"[[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
" [1. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.]\n",
Expand Down Expand Up @@ -361,27 +361,25 @@
"metadata": {
"id": "No7fx0Xy9zEh",
"colab_type": "code",
"outputId": "8c4fcd58-104c-48c3-e89e-0387e7caf3b5",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 175
},
"outputId": "4221ede7-f391-4b0f-f1af-939948521411"
"height": 153
}
},
"source": [
"import numpy as np\n",
"x = np.ones((3,3))\n",
"print(\"Checkerboard pattern:\")\n",
"x = np.zeros((8,8),dtype=int)\n",
"x[1::2,::2] = 1\n",
"x[::2,1::2] = 1\n",
"print(x)"
"a = np.ones((3,3))\n",
"a = np.zeros((8,8),dtype=int)\n",
"a[1::2,::2] = 1\n",
"a[::2,1::2] = 1\n",
"print(a)\n"
],
"execution_count": 12,
"execution_count": 28,
"outputs": [
{
"output_type": "stream",
"text": [
"Checkerboard pattern:\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",
Expand Down
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