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Flattened the nested nested list of values to a single list.
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‎flattened_nested_list.ipynb

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{
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"nbformat": 4,
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"nbformat_minor": 0,
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"metadata": {
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"colab": {
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"provenance": [],
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"mount_file_id": "1QC8aqJ1jmDgvbL2AcMXxASh61JIgRZdQ",
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"authorship_tag": "ABX9TyMvQ6iH7cdBcfbFewmQ7r1w",
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"include_colab_link": true
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},
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python"
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}
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},
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "view-in-github",
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"colab_type": "text"
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},
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"source": [
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"<a href=\"https://colab.research.google.com/github/dineshreddy221/Python/blob/main/flattened_nested_list.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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]
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},
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{
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"cell_type": "code",
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"source": [
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"# flattening the nested list\n",
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"l = [1,2,3,['a','b',1],'a',2,[2]]\n",
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"#output : [1,2,3,'a','b']\n",
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"\n",
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"lst = []\n",
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"for i in l:\n",
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" if type(i) == int:\n",
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" lst.append(i)\n",
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" elif type(i) == list:\n",
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" for elem in i:\n",
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" if type(elem) == str:\n",
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" lst.append(elem)\n",
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" break\n",
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"\n",
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"print(lst)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "CClOwOo1UES4",
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"outputId": "ba3dd8a2-b4e5-4fff-f6db-934cdb42f07f"
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"[1, 2, 3, 'a', 'b']\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"# separate different data types to list of nested categories\n",
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"l_1 = [\"code\", \"meat\",['a','b',1],'a',\"img\",\"stress\"]\n",
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"# output :[[\"code\", \"meat\", 'a','b', 'img', 'stress'],[1]]\n",
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"\n",
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"str_lst = []\n",
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"for string in l_1:\n",
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" if type(string) == str:\n",
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" str_lst.append(string)\n",
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" if type(string) == list:\n",
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" for elem in string:\n",
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" if type(elem) == str:\n",
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" str_lst.append(elem)\n",
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" else:\n",
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" str_lst.insert(len(str_lst), elem)\n",
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"print(str_lst)\n"
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],
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"metadata": {
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"id": "hn-lvSUYaXQu",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "38948868-a816-4147-da0c-94ef1aa0ad91"
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"['code', 'meat', 'a', 'b', 1, 'a', 'img', 'stress']\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"# nested nested list with integer, strings.\n",
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"nested_nested_list = [[1, 2, [3, 4, [5, 6, 7]], 8], ['a', 'b', ['c', 'd', ['e', 'f']]]]\n",
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"# output: [1, 2, 3, 4, 5, 6, 7, 8, 'a', 'b', 'c', 'd', 'e', 'f']\n",
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"\n",
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"lst = []\n",
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"for elem in nested_nested_list:\n",
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" for lst_elem in elem:\n",
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" if type(lst_elem) == int:\n",
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" # lst.insert(len(lst), lst_elem)\n",
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" lst.append(lst_elem)\n",
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" else:\n",
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" for i in lst_elem:\n",
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" if type(i) == int:\n",
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" lst.append(i)\n",
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" else:\n",
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" if type(i) == list:\n",
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" for last_lst in i:\n",
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" lst.append(last_lst)\n",
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" else:\n",
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" if type(i) == str:\n",
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" lst.append(i)\n",
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"\n",
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"print(lst)"
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],
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"metadata": {
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"id": "ywYcDq80afrG",
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "a9c70b23-b25e-4421-9e9b-e8d0931d3dea"
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"[1, 2, 3, 4, 5, 6, 7, 8, 'a', 'b', 'c', 'd', 'e', 'f']\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"# Nested nested list with integer and string elements:\n",
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"nested_nested_list_1 = [[1, 2, [3, 4, ['a', 'b']], 5], ['c', 'd', ['e', 'f', [6, 7, 8]]]]\n",
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"# output: [1, 2, 3, 4, 'a', 'b', 5, 'c', 'd', 'e', 'f', 6, 7, 8]\n",
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"\n",
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"lst_3 = []\n",
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"for nes_nes_lst in nested_nested_list_1:\n",
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" for nes_lst in nes_nes_lst:\n",
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" if type(nes_lst) == int:\n",
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" lst_3.append(nes_lst)\n",
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" if type(nes_lst) == list:\n",
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" for elem in nes_lst:\n",
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" if type(elem) == int:\n",
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" lst_3.append(elem)\n",
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" if type(elem) == str:\n",
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" lst_3.append(elem)\n",
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" if type(elem) == list:\n",
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" for elem_1 in elem:\n",
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" lst_3.append(elem_1)\n",
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" if type(nes_lst) == str:\n",
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" lst_3.append(nes_lst)\n",
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"\n",
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"print(\"original nested nested list\", nested_nested_list_1)\n",
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"\n",
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"print(\"list of flatten values\",lst_3)\n"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "LONkVGWvdVXw",
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"outputId": "841ce724-1312-4a25-e577-be00611b5f07"
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"original nested nested list [[1, 2, [3, 4, ['a', 'b']], 5], ['c', 'd', ['e', 'f', [6, 7, 8]]]]\n",
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"list of flatten values [1, 2, 3, 4, 'a', 'b', 5, 'c', 'd', 'e', 'f', 6, 7, 8]\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"# Nested nested list with boolean and list elements\n",
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"nested_nested_list_2 = [[True, False, [True, True, [False, True]], False], [['a', 'b'], ['c', 'd'], [['e'], ['f', 'g']]]]\n",
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"# output: [True, False, True, True, False, True, False, 'a', 'b', 'c', 'd', 'e', 'f', 'g']\n",
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"\n",
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"lst_4 = []\n",
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"for nes_nes_lst_2 in nested_nested_list_2:\n",
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" for nes_lst_2 in nes_nes_lst_2:\n",
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" # print(nes_lst_2)\n",
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" if type(nes_lst_2) == bool:\n",
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" lst_4.append(nes_lst_2)\n",
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" if type(nes_lst_2) == list:\n",
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" for nes_elem in nes_lst_2:\n",
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" if type(nes_elem) == bool:\n",
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" lst_4.append(nes_elem)\n",
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" if type(nes_elem) == list:\n",
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" for nes_elem_lst in nes_elem:\n",
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" lst_4.append(nes_elem_lst)\n",
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"\n",
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" if type(nes_elem) == str:\n",
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" lst_4.append(nes_elem)\n",
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"\n",
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"print(\"flattened list of values\",lst_4)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "TS8SLnIisbOb",
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"outputId": "24c6cca8-bf26-4075-cac8-a1bea255156b"
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},
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"execution_count": null,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"flattened list of values [True, False, True, True, False, True, False, 'a', 'b', 'c', 'd', 'e', 'f', 'g']\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [
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"# Nested nested list with mixed data types\n",
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"nested_nested_list_3 = [['apple', 'banana', [1, 2, 3]], [4, 5, ['cat', 'dog', ['elephant', 6, 7]]]]\n",
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"# output: ['apple', 'banana', 1, 2, 3, 4, 5, 'cat', 'dog', 'elephant', 6, 7]\n",
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"\n",
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"lst_5 = []\n",
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"for nes_nes_lst_3 in nested_nested_list_3:\n",
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" for nes_lst in nes_nes_lst_3:\n",
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" # print(nes_lst)\n",
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" if type(nes_lst) == str:\n",
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" lst_5.append(nes_lst)\n",
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" if type(nes_lst) == int:\n",
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" lst_5.append(nes_lst)\n",
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" if type(nes_lst) == list:\n",
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" for elem in nes_lst:\n",
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" if type(elem) == int:\n",
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" lst_5.append(elem)\n",
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" if type(elem) == str:\n",
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" lst_5.append(elem)\n",
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" if type(elem) == list:\n",
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" for nes_elem in elem:\n",
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" lst_5.append(nes_elem)\n",
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"\n",
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"\n",
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"\n",
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"print(\"flatened list of values\", lst_5)"
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],
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"metadata": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"id": "7l7QHe7psbLj",
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"outputId": "b28ba1c8-c705-4df9-dbbe-b35ca635bae4"
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},
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"execution_count": 175,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"flatened list of values ['apple', 'banana', 1, 2, 3, 4, 5, 'cat', 'dog', 'elephant', 6, 7]\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"source": [],
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"metadata": {
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"id": "XeJRFj_N41VW"
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},
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"execution_count": null,
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"outputs": []
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}
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]
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}

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