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75 lines
2.0 KiB
75 lines
2.0 KiB
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 24,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"체크카드 2515478\n",
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"상담 900000\n",
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"KT 321050\n",
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"관리비 304070\n",
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"등록금수납 300000\n",
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"카카오페이 255129\n",
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"신협상환 200600\n",
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"우수관공사 165000\n",
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"재산세 161000\n",
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"창3입주자대표회의 160000\n",
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"지마켓 158400\n",
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"대출결산이자 66413\n",
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"현대해상 56690\n",
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"이모책 11700\n",
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"불명 10000\n",
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"수도세 7910\n",
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"붕어빵 4500\n",
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"호떡 4000\n",
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"양파 2000\n",
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"dtype: int64"
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]
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},
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"execution_count": 24,
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"metadata": {},
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"output_type": "execute_result"
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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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"import matplotlib.pyplot as plt\n",
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"plt.rcParams['font.family'] = 'Malgun Gothic'\n",
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"df = pd.read_csv(\"1226.csv\", encoding=\"utf-8-sig\")\n",
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"비고들 = df.비고.unique()\n",
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"지출합계 = {}\n",
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"for 비고 in 비고들:\n",
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" 지출합계[비고] = df[df.비고==비고].지출금액.sum()\n",
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"series = pd.Series(지출합계).sort_values(ascending=False)\n",
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"# plt.hist(pd.Series(지출합계).sort_values(ascending=False))\n",
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"# plt.show()\n",
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"series"
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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": "rts",
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"language": "python",
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"name": "python3"
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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": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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