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snowykte0426snowykte0426
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2025-03-11
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‎Pandas_Data_Frame.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "2a7a26cb-0ebe-4e47-bb42-35a592bfc109",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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" c0 c1 c2 c3\n",
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"0 1 4 7 10\n",
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"1 2 5 8 11\n",
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"2 3 6 9 12\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"\n",
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"dict_data = {\n",
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" 'c0': [1, 2, 3],\n",
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" 'c1': [4, 5, 6],\n",
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" 'c2': [7, 8, 9],\n",
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" 'c3': [10, 11, 12]\n",
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"}\n",
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"\n",
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"df = pd.DataFrame(dict_data)\n",
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"\n",
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"print(type(df))\n",
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"print(df)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "982893e5-10af-472e-b875-058bcfa1734b",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" 학번 전공 연애 중\n",
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"김민솔 2403 디자인 1\n",
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"박현민 2407 게임 0\n",
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"박승일 2406 AI 0\n",
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"\n",
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"\n",
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"Index(['김민솔', '박현민', '박승일'], dtype='object')\n",
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"Index(['학번', '전공', '연애 중'], dtype='object')\n"
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]
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}
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],
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"source": [
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"df = pd.DataFrame([[2403, '디자인', 1], [2407, '게임', 0], [2406, 'AI', 0]],\n",
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" index=['김민솔', '박현민', '박승일'],\n",
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" columns=['학번', '전공', '연애 중'])\n",
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"\n",
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"print(df)\n",
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"print('\\n')\n",
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"print(df.index)\n",
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"print(df.columns)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "4fa47b71-3027-4110-a718-484d976cc353",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" number study love\n",
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"민솔이 2403 디자인 1\n",
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"현민이 2407 게임 0\n",
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"승일이 2406 AI 0\n",
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"\n",
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"\n",
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"Index(['민솔이', '현민이', '승일이'], dtype='object')\n",
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"Index(['number', 'study', 'love'], dtype='object')\n"
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]
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}
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],
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"source": [
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"df.index = ['민솔이', '현민이', '승일이']\n",
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"df.columns = ['number', 'study', 'love']\n",
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"\n",
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"print(df)\n",
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"print('\\n')\n",
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"print(df.index)\n",
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"print(df.columns)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"id": "8ffbf492-5522-414f-aca6-b8f19723d42b",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" NUM study LOVE\n",
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"민솔 2403 디자인 1\n",
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"현민 2407 게임 0\n",
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"승일 2406 AI 0\n",
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"\n",
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"\n"
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]
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}
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],
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"source": [
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"print(df)\n",
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"print('\\n')\n",
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"\n",
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"df.rename(columns = {'number': 'NUM', 'love': 'LOVE'}, inplace = True)\n",
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"df.rename(index = {'민솔이': '민솔', '현민이': '현민', '승일이': '승일'}, inplace = True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 34,
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"id": "4079e725-0f0a-46fe-8c7f-84a8e4440250",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" NUM LOVE\n",
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"민솔 2403 1\n"
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]
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}
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],
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"source": [
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"df.drop(columns = ['study'], inplace = True)\n",
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"\n",
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"print(df)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python [conda env:base] *",
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"language": "python",
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"name": "conda-base-py"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

‎Pandas_Series.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "d1ae616a-ac50-460b-85e0-e59de66727bb",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.series.Series'>\n",
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"a 1\n",
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"b 2\n",
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"c 3\n",
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"dtype: int64\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"\n",
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"dict_data = {\n",
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" 'a': 1,\n",
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" 'b': 2,\n",
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" 'c': 3\n",
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"}\n",
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"\n",
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"sr = pd.Series(dict_data)\n",
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"print(type(sr))\n",
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"print(sr)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "0b687c1e-bed2-45c4-abc7-22e91b25c3f2",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.series.Series'>\n",
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"0 2025-03-11\n",
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"1 3.14\n",
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"2 GOLD\n",
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"3 100\n",
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"4 True\n",
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"dtype: object\n"
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]
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}
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],
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"source": [
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"list_data = ['2025-03-11', 3.14, 'GOLD', 100, True]\n",
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"\n",
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"sr = pd.Series(list_data)\n",
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"\n",
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"print(type(sr))\n",
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"print(sr)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "3fef74d0-4303-4dab-b68e-81e88f933e1b",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"RangeIndex(start=0, stop=5, step=1)\n",
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"['2025-03-11' 3.14 'GOLD' 100 True]\n"
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]
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}
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],
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"source": [
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"idx = sr.index\n",
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"val = sr.values\n",
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"\n",
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"print(idx)\n",
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"print(val)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 14,
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"id": "70d2c019-57bf-4777-a3c2-ed851df0c562",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"이름 콩보리\n",
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"생일 2017-11-25\n",
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"귀여움 1\n",
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"dtype: object\n"
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]
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}
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],
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"source": [
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"tup_data = ('콩보리', '2017-11-25', 1)\n",
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"sr = pd.Series(tup_data, index=['이름', '생일', '귀여움'])\n",
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"print(sr)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b8818c10-4a8b-4c37-8827-e29e511710b3",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python [conda env:base] *",
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"language": "python",
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"name": "conda-base-py"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}

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