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| { | |
| "cells": [ | |
| { | |
| "cell_type": "code", | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "['.ipynb_checkpoints',\n", | |
| " 'Untitled.ipynb',\n", | |
| " '가락시장.csv',\n", | |
| " '가산디지털단지.csv',\n", | |
| " '강남.csv',\n", | |
| " '강남구청.csv',\n", | |
| " '강동.csv',\n", | |
| " '강동구청.csv',\n", | |
| " '강변.csv',\n", | |
| " '개롱.csv',\n", | |
| " '개화산.csv',\n", | |
| " '거여.csv',\n", | |
| " '건대입구.csv',\n", | |
| " '경복궁.csv',\n", | |
| " '경찰병원.csv',\n", | |
| " '고덕.csv',\n", | |
| " '고려대.csv',\n", | |
| " '고속터미널.csv',\n", | |
| " '공덕.csv',\n", | |
| " '공릉.csv',\n", | |
| " '광나루.csv',\n", | |
| " '광명사거리.csv',\n", | |
| " '광화문.csv',\n", | |
| " '광흥창.csv',\n", | |
| " '교대.csv',\n", | |
| " '구로디지털단지.csv',\n", | |
| " '구산.csv',\n", | |
| " '구의.csv',\n", | |
| " '구파발.csv',\n", | |
| " '군자.csv',\n", | |
| " '굴포천.csv',\n", | |
| " '굽은다리.csv',\n", | |
| " '금호.csv',\n", | |
| " '길동.csv',\n", | |
| " '길음.csv',\n", | |
| " '김포공항.csv',\n", | |
| " '까치산.csv',\n", | |
| " '까치울.csv',\n", | |
| " '낙성대.csv',\n", | |
| " '남구로.csv',\n", | |
| " '남부터미널.csv',\n", | |
| " '남성.csv',\n", | |
| " '남태령.csv',\n", | |
| " '남한산성입구.csv',\n", | |
| " '내방.csv',\n", | |
| " '노원.csv',\n", | |
| " '녹번.csv',\n", | |
| " '녹사평.csv',\n", | |
| " '논현.csv',\n", | |
| " '단대오거리.csv',\n", | |
| " '답십리.csv',\n", | |
| " '당고개.csv',\n", | |
| " '당산.csv',\n", | |
| " '대림.csv',\n", | |
| " '대청.csv',\n", | |
| " '대치.csv',\n", | |
| " '대흥.csv',\n", | |
| " '도곡.csv',\n", | |
| " '도림천.csv',\n", | |
| " '도봉산.csv',\n", | |
| " '독립문.csv',\n", | |
| " '독바위.csv',\n", | |
| " '돌곶이.csv',\n", | |
| " '동대문.csv',\n", | |
| " '동대문역사문화공원.csv',\n", | |
| " '동대입구.csv',\n", | |
| " '동묘앞.csv',\n", | |
| " '동작.csv',\n", | |
| " '둔촌동.csv',\n", | |
| " '디지털미디어시티.csv',\n", | |
| " '뚝섬.csv',\n", | |
| " '뚝섬유원지.csv',\n", | |
| " '마곡.csv',\n", | |
| " '마들.csv',\n", | |
| " '마장.csv',\n", | |
| " '마천.csv',\n", | |
| " '마포.csv',\n", | |
| " '마포구청.csv',\n", | |
| " '망원.csv',\n", | |
| " '매봉.csv',\n", | |
| " '먹골.csv',\n", | |
| " '면목.csv',\n", | |
| " '명동.csv',\n", | |
| " '명일.csv',\n", | |
| " '모란.csv',\n", | |
| " '목동.csv',\n", | |
| " '몽촌토성.csv',\n", | |
| " '무악재.csv',\n", | |
| " '문래.csv',\n", | |
| " '문정.csv',\n", | |
| " '미아.csv',\n", | |
| " '미아사거리.csv',\n", | |
| " '반포.csv',\n", | |
| " '발산.csv',\n", | |
| " '방배.csv',\n", | |
| " '방이.csv',\n", | |
| " '방화.csv',\n", | |
| " '버티고개.csv',\n", | |
| " '보라매.csv',\n", | |
| " '보문.csv',\n", | |
| " '복정.csv',\n", | |
| " '봉천.csv',\n", | |
| " '봉화산.csv',\n", | |
| " '부천시청.csv',\n", | |
| " '부천종합운동장.csv',\n", | |
| " '부평구청.csv',\n", | |
| " '불광.csv',\n", | |
| " '사가정.csv',\n", | |
| " '사당.csv',\n", | |
| " '산성.csv',\n", | |
| " '삼각지.csv',\n", | |
| " '삼산체육관.csv',\n", | |
| " '삼성.csv',\n", | |
| " '상계.csv',\n", | |
| " '상도.csv',\n", | |
| " '상동.csv',\n", | |
| " '상봉.csv',\n", | |
| " '상수.csv',\n", | |
| " '상왕십리.csv',\n", | |
| " '상월곡.csv',\n", | |
| " '상일동.csv',\n", | |
| " '새 폴더',\n", | |
| " '새절.csv',\n", | |
| " '서대문.csv',\n", | |
| " '서울대입구.csv',\n", | |
| " '서울역.csv',\n", | |
| " '서초.csv',\n", | |
| " '석계.csv',\n", | |
| " '석촌.csv',\n", | |
| " '선릉.csv',\n", | |
| " '성수.csv',\n", | |
| " '성신여대입구.csv',\n", | |
| " '송정.csv',\n", | |
| " '송파.csv',\n", | |
| " '수락산.csv',\n", | |
| " '수서.csv',\n", | |
| " '수유.csv',\n", | |
| " '수진.csv',\n", | |
| " '숙대입구.csv',\n", | |
| " '숭실대입구.csv',\n", | |
| " '시청.csv',\n", | |
| " '신금호.csv',\n", | |
| " '신길.csv',\n", | |
| " '신답.csv',\n", | |
| " '신당.csv',\n", | |
| " '신대방.csv',\n", | |
| " '신대방삼거리.csv',\n", | |
| " '신도림.csv',\n", | |
| " '신림.csv',\n", | |
| " '신사.csv',\n", | |
| " '신설동.csv',\n", | |
| " '신용산.csv',\n", | |
| " '신정.csv',\n", | |
| " '신정네거리.csv',\n", | |
| " '신중동.csv',\n", | |
| " '신촌.csv',\n", | |
| " '신풍.csv',\n", | |
| " '신흥.csv',\n", | |
| " '쌍문.csv',\n", | |
| " '아차산.csv',\n", | |
| " '아현.csv',\n", | |
| " '안국.csv',\n", | |
| " '안암.csv',\n", | |
| " '암사.csv',\n", | |
| " '압구정.csv',\n", | |
| " '애오개.csv',\n", | |
| " '약수.csv',\n", | |
| " '양재.csv',\n", | |
| " '양천구청.csv',\n", | |
| " '양평.csv',\n", | |
| " '어린이대공원.csv',\n", | |
| " '여의나루.csv',\n", | |
| " '여의도.csv',\n", | |
| " '역삼.csv',\n", | |
| " '역촌.csv',\n", | |
| " '연신내.csv',\n", | |
| " '영등포구청.csv',\n", | |
| " '영등포시장.csv',\n", | |
| " '오금.csv',\n", | |
| " '오목교.csv',\n", | |
| " '옥수.csv',\n", | |
| " '온수.csv',\n", | |
| " '올림픽공원.csv',\n", | |
| " '왕십리.csv',\n", | |
| " '용답.csv',\n", | |
| " '용두.csv',\n", | |
| " '용마산.csv',\n", | |
| " '우장산.csv',\n", | |
| " '월곡.csv',\n", | |
| " '월드컵경기장.csv',\n", | |
| " '을지로3가.csv',\n", | |
| " '을지로4가.csv',\n", | |
| " '을지로입구.csv',\n", | |
| " '응암.csv',\n", | |
| " '이대.csv',\n", | |
| " '이촌.csv',\n", | |
| " '이태원.csv',\n", | |
| " '일원.csv',\n", | |
| " '잠실.csv',\n", | |
| " '잠실나루.csv',\n", | |
| " '잠실새내.csv',\n", | |
| " '잠원.csv',\n", | |
| " '장승배기.csv',\n", | |
| " '장암.csv',\n", | |
| " '장지.csv',\n", | |
| " '장한평.csv',\n", | |
| " '제기동.csv',\n", | |
| " '종각.csv',\n", | |
| " '종로3가.csv',\n", | |
| " '종로5가.csv',\n", | |
| " '종합운동장.csv',\n", | |
| " '중계.csv',\n", | |
| " '중곡.csv',\n", | |
| " '중화.csv',\n", | |
| " '증산.csv',\n", | |
| " '지축.csv',\n", | |
| " '창동.csv',\n", | |
| " '창신.csv',\n", | |
| " '천왕.csv',\n", | |
| " '천호.csv',\n", | |
| " '철산.csv',\n", | |
| " '청구.csv',\n", | |
| " '청담.csv',\n", | |
| " '청량리.csv',\n", | |
| " '총신대입구(이수).csv',\n", | |
| " '춘의.csv',\n", | |
| " '충무로.csv',\n", | |
| " '충정로.csv',\n", | |
| " '태릉입구.csv',\n", | |
| " '하계.csv',\n", | |
| " '학동.csv',\n", | |
| " '학여울.csv',\n", | |
| " '한강진.csv',\n", | |
| " '한성대입구.csv',\n", | |
| " '한양대.csv',\n", | |
| " '합정.csv',\n", | |
| " '행당.csv',\n", | |
| " '혜화.csv',\n", | |
| " '홍대입구.csv',\n", | |
| " '홍제.csv',\n", | |
| " '화곡.csv',\n", | |
| " '화랑대.csv',\n", | |
| " '회현.csv',\n", | |
| " '효창공원앞.csv']" | |
| ] | |
| }, | |
| "execution_count": 1, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "import os.path\n", | |
| "import pandas as pd\n", | |
| "\n", | |
| "\n", | |
| "folder = os.getcwd()\n", | |
| "\n", | |
| "fileList = os.listdir(folder)\n", | |
| "\n", | |
| "fileList" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "['.ipynb_checkpoints',\n", | |
| " 'Untitled.ipynb',\n", | |
| " '가락시장.csv',\n", | |
| " '가산디지털단지.csv',\n", | |
| " '강남.csv',\n", | |
| " '강남구청.csv',\n", | |
| " '강동.csv',\n", | |
| " '강동구청.csv',\n", | |
| " '강변.csv',\n", | |
| " '개롱.csv',\n", | |
| " '개화산.csv',\n", | |
| " '거여.csv',\n", | |
| " '건대입구.csv',\n", | |
| " '경복궁.csv',\n", | |
| " '경찰병원.csv',\n", | |
| " '고덕.csv',\n", | |
| " '고려대.csv',\n", | |
| " '고속터미널.csv',\n", | |
| " '공덕.csv',\n", | |
| " '공릉.csv',\n", | |
| " '광나루.csv',\n", | |
| " '광명사거리.csv',\n", | |
| " '광화문.csv',\n", | |
| " '광흥창.csv',\n", | |
| " '교대.csv',\n", | |
| " '구로디지털단지.csv',\n", | |
| " '구산.csv',\n", | |
| " '구의.csv',\n", | |
| " '구파발.csv',\n", | |
| " '군자.csv',\n", | |
| " '굴포천.csv',\n", | |
| " '굽은다리.csv',\n", | |
| " '금호.csv',\n", | |
| " '길동.csv',\n", | |
| " '길음.csv',\n", | |
| " '김포공항.csv',\n", | |
| " '까치산.csv',\n", | |
| " '까치울.csv',\n", | |
| " '낙성대.csv',\n", | |
| " '남구로.csv',\n", | |
| " '남부터미널.csv',\n", | |
| " '남성.csv',\n", | |
| " '남태령.csv',\n", | |
| " '남한산성입구.csv',\n", | |
| " '내방.csv',\n", | |
| " '노원.csv',\n", | |
| " '녹번.csv',\n", | |
| " '녹사평.csv',\n", | |
| " '논현.csv',\n", | |
| " '단대오거리.csv',\n", | |
| " '답십리.csv',\n", | |
| " '당고개.csv',\n", | |
| " '당산.csv',\n", | |
| " '대림.csv',\n", | |
| " '대청.csv',\n", | |
| " '대치.csv',\n", | |
| " '대흥.csv',\n", | |
| " '도곡.csv',\n", | |
| " '도림천.csv',\n", | |
| " '도봉산.csv',\n", | |
| " '독립문.csv',\n", | |
| " '독바위.csv',\n", | |
| " '돌곶이.csv',\n", | |
| " '동대문.csv',\n", | |
| " '동대문역사문화공원.csv',\n", | |
| " '동대입구.csv',\n", | |
| " '동묘앞.csv',\n", | |
| " '동작.csv',\n", | |
| " '둔촌동.csv',\n", | |
| " '디지털미디어시티.csv',\n", | |
| " '뚝섬.csv',\n", | |
| " '뚝섬유원지.csv',\n", | |
| " '마곡.csv',\n", | |
| " '마들.csv',\n", | |
| " '마장.csv',\n", | |
| " '마천.csv',\n", | |
| " '마포.csv',\n", | |
| " '마포구청.csv',\n", | |
| " '망원.csv',\n", | |
| " '매봉.csv',\n", | |
| " '먹골.csv',\n", | |
| " '면목.csv',\n", | |
| " '명동.csv',\n", | |
| " '명일.csv',\n", | |
| " '모란.csv',\n", | |
| " '목동.csv',\n", | |
| " '몽촌토성.csv',\n", | |
| " '무악재.csv',\n", | |
| " '문래.csv',\n", | |
| " '문정.csv',\n", | |
| " '미아.csv',\n", | |
| " '미아사거리.csv',\n", | |
| " '반포.csv',\n", | |
| " '발산.csv',\n", | |
| " '방배.csv',\n", | |
| " '방이.csv',\n", | |
| " '방화.csv',\n", | |
| " '버티고개.csv',\n", | |
| " '보라매.csv',\n", | |
| " '보문.csv',\n", | |
| " '복정.csv',\n", | |
| " '봉천.csv',\n", | |
| " '봉화산.csv',\n", | |
| " '부천시청.csv',\n", | |
| " '부천종합운동장.csv',\n", | |
| " '부평구청.csv',\n", | |
| " '불광.csv',\n", | |
| " '사가정.csv',\n", | |
| " '사당.csv',\n", | |
| " '산성.csv',\n", | |
| " '삼각지.csv',\n", | |
| " '삼산체육관.csv',\n", | |
| " '삼성.csv',\n", | |
| " '상계.csv',\n", | |
| " '상도.csv',\n", | |
| " '상동.csv',\n", | |
| " '상봉.csv',\n", | |
| " '상수.csv',\n", | |
| " '상왕십리.csv',\n", | |
| " '상월곡.csv',\n", | |
| " '상일동.csv',\n", | |
| " '새 폴더',\n", | |
| " '새절.csv',\n", | |
| " '서대문.csv',\n", | |
| " '서울대입구.csv',\n", | |
| " '서울역.csv',\n", | |
| " '서초.csv',\n", | |
| " '석계.csv',\n", | |
| " '석촌.csv',\n", | |
| " '선릉.csv',\n", | |
| " '성수.csv',\n", | |
| " '성신여대입구.csv',\n", | |
| " '송정.csv',\n", | |
| " '송파.csv',\n", | |
| " '수락산.csv',\n", | |
| " '수서.csv',\n", | |
| " '수유.csv',\n", | |
| " '수진.csv',\n", | |
| " '숙대입구.csv',\n", | |
| " '숭실대입구.csv',\n", | |
| " '시청.csv',\n", | |
| " '신금호.csv',\n", | |
| " '신길.csv',\n", | |
| " '신답.csv',\n", | |
| " '신당.csv',\n", | |
| " '신대방.csv',\n", | |
| " '신대방삼거리.csv',\n", | |
| " '신도림.csv',\n", | |
| " '신림.csv',\n", | |
| " '신사.csv',\n", | |
| " '신설동.csv',\n", | |
| " '신용산.csv',\n", | |
| " '신정.csv',\n", | |
| " '신정네거리.csv',\n", | |
| " '신중동.csv',\n", | |
| " '신촌.csv',\n", | |
| " '신풍.csv',\n", | |
| " '신흥.csv',\n", | |
| " '쌍문.csv',\n", | |
| " '아차산.csv',\n", | |
| " '아현.csv',\n", | |
| " '안국.csv',\n", | |
| " '안암.csv',\n", | |
| " '암사.csv',\n", | |
| " '압구정.csv',\n", | |
| " '애오개.csv',\n", | |
| " '약수.csv',\n", | |
| " '양재.csv',\n", | |
| " '양천구청.csv',\n", | |
| " '양평.csv',\n", | |
| " '어린이대공원.csv',\n", | |
| " '여의나루.csv',\n", | |
| " '여의도.csv',\n", | |
| " '역삼.csv',\n", | |
| " '역촌.csv',\n", | |
| " '연신내.csv',\n", | |
| " '영등포구청.csv',\n", | |
| " '영등포시장.csv',\n", | |
| " '오금.csv',\n", | |
| " '오목교.csv',\n", | |
| " '옥수.csv',\n", | |
| " '온수.csv',\n", | |
| " '올림픽공원.csv',\n", | |
| " '왕십리.csv',\n", | |
| " '용답.csv',\n", | |
| " '용두.csv',\n", | |
| " '용마산.csv',\n", | |
| " '우장산.csv',\n", | |
| " '월곡.csv',\n", | |
| " '월드컵경기장.csv',\n", | |
| " '을지로3가.csv',\n", | |
| " '을지로4가.csv',\n", | |
| " '을지로입구.csv',\n", | |
| " '응암.csv',\n", | |
| " '이대.csv',\n", | |
| " '이촌.csv',\n", | |
| " '이태원.csv',\n", | |
| " '일원.csv',\n", | |
| " '잠실.csv',\n", | |
| " '잠실나루.csv',\n", | |
| " '잠실새내.csv',\n", | |
| " '잠원.csv',\n", | |
| " '장승배기.csv',\n", | |
| " '장암.csv',\n", | |
| " '장지.csv',\n", | |
| " '장한평.csv',\n", | |
| " '제기동.csv',\n", | |
| " '종각.csv',\n", | |
| " '종로3가.csv',\n", | |
| " '종로5가.csv',\n", | |
| " '종합운동장.csv',\n", | |
| " '중계.csv',\n", | |
| " '중곡.csv',\n", | |
| " '중화.csv',\n", | |
| " '증산.csv',\n", | |
| " '지축.csv',\n", | |
| " '창동.csv',\n", | |
| " '창신.csv',\n", | |
| " '천왕.csv',\n", | |
| " '천호.csv',\n", | |
| " '철산.csv',\n", | |
| " '청구.csv',\n", | |
| " '청담.csv',\n", | |
| " '청량리.csv',\n", | |
| " '총신대입구(이수).csv',\n", | |
| " '춘의.csv',\n", | |
| " '충무로.csv',\n", | |
| " '충정로.csv',\n", | |
| " '태릉입구.csv',\n", | |
| " '하계.csv',\n", | |
| " '학동.csv',\n", | |
| " '학여울.csv',\n", | |
| " '한강진.csv',\n", | |
| " '한성대입구.csv',\n", | |
| " '한양대.csv',\n", | |
| " '합정.csv',\n", | |
| " '행당.csv',\n", | |
| " '혜화.csv',\n", | |
| " '홍대입구.csv',\n", | |
| " '홍제.csv',\n", | |
| " '화곡.csv',\n", | |
| " '화랑대.csv',\n", | |
| " '회현.csv',\n", | |
| " '효창공원앞.csv']" | |
| ] | |
| }, | |
| "execution_count": 2, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "fileList" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "['Untitled.ipynb',\n", | |
| " '가산디지털단지.csv',\n", | |
| " '강남.csv',\n", | |
| " '강남구청.csv',\n", | |
| " '강동.csv',\n", | |
| " '강동구청.csv',\n", | |
| " '강변.csv',\n", | |
| " '개롱.csv',\n", | |
| " '개화산.csv',\n", | |
| " '거여.csv',\n", | |
| " '건대입구.csv',\n", | |
| " '경복궁.csv',\n", | |
| " '경찰병원.csv',\n", | |
| " '고덕.csv',\n", | |
| " '고려대.csv',\n", | |
| " '고속터미널.csv',\n", | |
| " '공덕.csv',\n", | |
| " '공릉.csv',\n", | |
| " '광나루.csv',\n", | |
| " '광명사거리.csv',\n", | |
| " '광화문.csv',\n", | |
| " '광흥창.csv',\n", | |
| " '교대.csv',\n", | |
| " '구로디지털단지.csv',\n", | |
| " '구산.csv',\n", | |
| " '구의.csv',\n", | |
| " '구파발.csv',\n", | |
| " '군자.csv',\n", | |
| " '굴포천.csv',\n", | |
| " '굽은다리.csv',\n", | |
| " '금호.csv',\n", | |
| " '길동.csv',\n", | |
| " '길음.csv',\n", | |
| " '김포공항.csv',\n", | |
| " '까치산.csv',\n", | |
| " '까치울.csv',\n", | |
| " '낙성대.csv',\n", | |
| " '남구로.csv',\n", | |
| " '남부터미널.csv',\n", | |
| " '남성.csv',\n", | |
| " '남태령.csv',\n", | |
| " '남한산성입구.csv',\n", | |
| " '내방.csv',\n", | |
| " '노원.csv',\n", | |
| " '녹번.csv',\n", | |
| " '녹사평.csv',\n", | |
| " '논현.csv',\n", | |
| " '단대오거리.csv',\n", | |
| " '답십리.csv',\n", | |
| " '당고개.csv',\n", | |
| " '당산.csv',\n", | |
| " '대림.csv',\n", | |
| " '대청.csv',\n", | |
| " '대치.csv',\n", | |
| " '대흥.csv',\n", | |
| " '도곡.csv',\n", | |
| " '도림천.csv',\n", | |
| " '도봉산.csv',\n", | |
| " '독립문.csv',\n", | |
| " '독바위.csv',\n", | |
| " '돌곶이.csv',\n", | |
| " '동대문.csv',\n", | |
| " '동대문역사문화공원.csv',\n", | |
| " '동대입구.csv',\n", | |
| " '동묘앞.csv',\n", | |
| " '동작.csv',\n", | |
| " '둔촌동.csv',\n", | |
| " '디지털미디어시티.csv',\n", | |
| " '뚝섬.csv',\n", | |
| " '뚝섬유원지.csv',\n", | |
| " '마곡.csv',\n", | |
| " '마들.csv',\n", | |
| " '마장.csv',\n", | |
| " '마천.csv',\n", | |
| " '마포.csv',\n", | |
| " '마포구청.csv',\n", | |
| " '망원.csv',\n", | |
| " '매봉.csv',\n", | |
| " '먹골.csv',\n", | |
| " '면목.csv',\n", | |
| " '명동.csv',\n", | |
| " '명일.csv',\n", | |
| " '모란.csv',\n", | |
| " '목동.csv',\n", | |
| " '몽촌토성.csv',\n", | |
| " '무악재.csv',\n", | |
| " '문래.csv',\n", | |
| " '문정.csv',\n", | |
| " '미아.csv',\n", | |
| " '미아사거리.csv',\n", | |
| " '반포.csv',\n", | |
| " '발산.csv',\n", | |
| " '방배.csv',\n", | |
| " '방이.csv',\n", | |
| " '방화.csv',\n", | |
| " '버티고개.csv',\n", | |
| " '보라매.csv',\n", | |
| " '보문.csv',\n", | |
| " '복정.csv',\n", | |
| " '봉천.csv',\n", | |
| " '봉화산.csv',\n", | |
| " '부천시청.csv',\n", | |
| " '부천종합운동장.csv',\n", | |
| " '부평구청.csv',\n", | |
| " '불광.csv',\n", | |
| " '사가정.csv',\n", | |
| " '사당.csv',\n", | |
| " '산성.csv',\n", | |
| " '삼각지.csv',\n", | |
| " '삼산체육관.csv',\n", | |
| " '삼성.csv',\n", | |
| " '상계.csv',\n", | |
| " '상도.csv',\n", | |
| " '상동.csv',\n", | |
| " '상봉.csv',\n", | |
| " '상수.csv',\n", | |
| " '상왕십리.csv',\n", | |
| " '상월곡.csv',\n", | |
| " '상일동.csv',\n", | |
| " '새 폴더',\n", | |
| " '새절.csv',\n", | |
| " '서대문.csv',\n", | |
| " '서울대입구.csv',\n", | |
| " '서울역.csv',\n", | |
| " '서초.csv',\n", | |
| " '석계.csv',\n", | |
| " '석촌.csv',\n", | |
| " '선릉.csv',\n", | |
| " '성수.csv',\n", | |
| " '성신여대입구.csv',\n", | |
| " '송정.csv',\n", | |
| " '송파.csv',\n", | |
| " '수락산.csv',\n", | |
| " '수서.csv',\n", | |
| " '수유.csv',\n", | |
| " '수진.csv',\n", | |
| " '숙대입구.csv',\n", | |
| " '숭실대입구.csv',\n", | |
| " '시청.csv',\n", | |
| " '신금호.csv',\n", | |
| " '신길.csv',\n", | |
| " '신답.csv',\n", | |
| " '신당.csv',\n", | |
| " '신대방.csv',\n", | |
| " '신대방삼거리.csv',\n", | |
| " '신도림.csv',\n", | |
| " '신림.csv',\n", | |
| " '신사.csv',\n", | |
| " '신설동.csv',\n", | |
| " '신용산.csv',\n", | |
| " '신정.csv',\n", | |
| " '신정네거리.csv',\n", | |
| " '신중동.csv',\n", | |
| " '신촌.csv',\n", | |
| " '신풍.csv',\n", | |
| " '신흥.csv',\n", | |
| " '쌍문.csv',\n", | |
| " '아차산.csv',\n", | |
| " '아현.csv',\n", | |
| " '안국.csv',\n", | |
| " '안암.csv',\n", | |
| " '암사.csv',\n", | |
| " '압구정.csv',\n", | |
| " '애오개.csv',\n", | |
| " '약수.csv',\n", | |
| " '양재.csv',\n", | |
| " '양천구청.csv',\n", | |
| " '양평.csv',\n", | |
| " '어린이대공원.csv',\n", | |
| " '여의나루.csv',\n", | |
| " '여의도.csv',\n", | |
| " '역삼.csv',\n", | |
| " '역촌.csv',\n", | |
| " '연신내.csv',\n", | |
| " '영등포구청.csv',\n", | |
| " '영등포시장.csv',\n", | |
| " '오금.csv',\n", | |
| " '오목교.csv',\n", | |
| " '옥수.csv',\n", | |
| " '온수.csv',\n", | |
| " '올림픽공원.csv',\n", | |
| " '왕십리.csv',\n", | |
| " '용답.csv',\n", | |
| " '용두.csv',\n", | |
| " '용마산.csv',\n", | |
| " '우장산.csv',\n", | |
| " '월곡.csv',\n", | |
| " '월드컵경기장.csv',\n", | |
| " '을지로3가.csv',\n", | |
| " '을지로4가.csv',\n", | |
| " '을지로입구.csv',\n", | |
| " '응암.csv',\n", | |
| " '이대.csv',\n", | |
| " '이촌.csv',\n", | |
| " '이태원.csv',\n", | |
| " '일원.csv',\n", | |
| " '잠실.csv',\n", | |
| " '잠실나루.csv',\n", | |
| " '잠실새내.csv',\n", | |
| " '잠원.csv',\n", | |
| " '장승배기.csv',\n", | |
| " '장암.csv',\n", | |
| " '장지.csv',\n", | |
| " '장한평.csv',\n", | |
| " '제기동.csv',\n", | |
| " '종각.csv',\n", | |
| " '종로3가.csv',\n", | |
| " '종로5가.csv',\n", | |
| " '종합운동장.csv',\n", | |
| " '중계.csv',\n", | |
| " '중곡.csv',\n", | |
| " '중화.csv',\n", | |
| " '증산.csv',\n", | |
| " '지축.csv',\n", | |
| " '창동.csv',\n", | |
| " '창신.csv',\n", | |
| " '천왕.csv',\n", | |
| " '천호.csv',\n", | |
| " '철산.csv',\n", | |
| " '청구.csv',\n", | |
| " '청담.csv',\n", | |
| " '청량리.csv',\n", | |
| " '총신대입구(이수).csv',\n", | |
| " '춘의.csv',\n", | |
| " '충무로.csv',\n", | |
| " '충정로.csv',\n", | |
| " '태릉입구.csv',\n", | |
| " '하계.csv',\n", | |
| " '학동.csv',\n", | |
| " '학여울.csv',\n", | |
| " '한강진.csv',\n", | |
| " '한성대입구.csv',\n", | |
| " '한양대.csv',\n", | |
| " '합정.csv',\n", | |
| " '행당.csv',\n", | |
| " '혜화.csv',\n", | |
| " '홍대입구.csv',\n", | |
| " '홍제.csv',\n", | |
| " '화곡.csv',\n", | |
| " '화랑대.csv',\n", | |
| " '회현.csv',\n", | |
| " '효창공원앞.csv']" | |
| ] | |
| }, | |
| "execution_count": 3, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "del fileList[0]\n", | |
| "del fileList[1]\n", | |
| "fileList" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "data": { | |
| "text/plain": [ | |
| "['가산디지털단지.csv',\n", | |
| " '강남.csv',\n", | |
| " '강남구청.csv',\n", | |
| " '강동.csv',\n", | |
| " '강동구청.csv',\n", | |
| " '강변.csv',\n", | |
| " '개롱.csv',\n", | |
| " '개화산.csv',\n", | |
| " '거여.csv',\n", | |
| " '건대입구.csv',\n", | |
| " '경복궁.csv',\n", | |
| " '경찰병원.csv',\n", | |
| " '고덕.csv',\n", | |
| " '고려대.csv',\n", | |
| " '고속터미널.csv',\n", | |
| " '공덕.csv',\n", | |
| " '공릉.csv',\n", | |
| " '광나루.csv',\n", | |
| " '광명사거리.csv',\n", | |
| " '광화문.csv',\n", | |
| " '광흥창.csv',\n", | |
| " '교대.csv',\n", | |
| " '구로디지털단지.csv',\n", | |
| " '구산.csv',\n", | |
| " '구의.csv',\n", | |
| " '구파발.csv',\n", | |
| " '군자.csv',\n", | |
| " '굴포천.csv',\n", | |
| " '굽은다리.csv',\n", | |
| " '금호.csv',\n", | |
| " '길동.csv',\n", | |
| " '길음.csv',\n", | |
| " '김포공항.csv',\n", | |
| " '까치산.csv',\n", | |
| " '까치울.csv',\n", | |
| " '낙성대.csv',\n", | |
| " '남구로.csv',\n", | |
| " '남부터미널.csv',\n", | |
| " '남성.csv',\n", | |
| " '남태령.csv',\n", | |
| " '남한산성입구.csv',\n", | |
| " '내방.csv',\n", | |
| " '노원.csv',\n", | |
| " '녹번.csv',\n", | |
| " '녹사평.csv',\n", | |
| " '논현.csv',\n", | |
| " '단대오거리.csv',\n", | |
| " '답십리.csv',\n", | |
| " '당고개.csv',\n", | |
| " '당산.csv',\n", | |
| " '대림.csv',\n", | |
| " '대청.csv',\n", | |
| " '대치.csv',\n", | |
| " '대흥.csv',\n", | |
| " '도곡.csv',\n", | |
| " '도림천.csv',\n", | |
| " '도봉산.csv',\n", | |
| " '독립문.csv',\n", | |
| " '독바위.csv',\n", | |
| " '돌곶이.csv',\n", | |
| " '동대문.csv',\n", | |
| " '동대문역사문화공원.csv',\n", | |
| " '동대입구.csv',\n", | |
| " '동묘앞.csv',\n", | |
| " '동작.csv',\n", | |
| " '둔촌동.csv',\n", | |
| " '디지털미디어시티.csv',\n", | |
| " '뚝섬.csv',\n", | |
| " '뚝섬유원지.csv',\n", | |
| " '마곡.csv',\n", | |
| " '마들.csv',\n", | |
| " '마장.csv',\n", | |
| " '마천.csv',\n", | |
| " '마포.csv',\n", | |
| " '마포구청.csv',\n", | |
| " '망원.csv',\n", | |
| " '매봉.csv',\n", | |
| " '먹골.csv',\n", | |
| " '면목.csv',\n", | |
| " '명동.csv',\n", | |
| " '명일.csv',\n", | |
| " '모란.csv',\n", | |
| " '목동.csv',\n", | |
| " '몽촌토성.csv',\n", | |
| " '무악재.csv',\n", | |
| " '문래.csv',\n", | |
| " '문정.csv',\n", | |
| " '미아.csv',\n", | |
| " '미아사거리.csv',\n", | |
| " '반포.csv',\n", | |
| " '발산.csv',\n", | |
| " '방배.csv',\n", | |
| " '방이.csv',\n", | |
| " '방화.csv',\n", | |
| " '버티고개.csv',\n", | |
| " '보라매.csv',\n", | |
| " '보문.csv',\n", | |
| " '복정.csv',\n", | |
| " '봉천.csv',\n", | |
| " '봉화산.csv',\n", | |
| " '부천시청.csv',\n", | |
| " '부천종합운동장.csv',\n", | |
| " '부평구청.csv',\n", | |
| " '불광.csv',\n", | |
| " '사가정.csv',\n", | |
| " '사당.csv',\n", | |
| " '산성.csv',\n", | |
| " '삼각지.csv',\n", | |
| " '삼산체육관.csv',\n", | |
| " '삼성.csv',\n", | |
| " '상계.csv',\n", | |
| " '상도.csv',\n", | |
| " '상동.csv',\n", | |
| " '상봉.csv',\n", | |
| " '상수.csv',\n", | |
| " '상왕십리.csv',\n", | |
| " '상월곡.csv',\n", | |
| " '상일동.csv',\n", | |
| " '새 폴더',\n", | |
| " '새절.csv',\n", | |
| " '서대문.csv',\n", | |
| " '서울대입구.csv',\n", | |
| " '서울역.csv',\n", | |
| " '서초.csv',\n", | |
| " '석계.csv',\n", | |
| " '석촌.csv',\n", | |
| " '선릉.csv',\n", | |
| " '성수.csv',\n", | |
| " '성신여대입구.csv',\n", | |
| " '송정.csv',\n", | |
| " '송파.csv',\n", | |
| " '수락산.csv',\n", | |
| " '수서.csv',\n", | |
| " '수유.csv',\n", | |
| " '수진.csv',\n", | |
| " '숙대입구.csv',\n", | |
| " '숭실대입구.csv',\n", | |
| " '시청.csv',\n", | |
| " '신금호.csv',\n", | |
| " '신길.csv',\n", | |
| " '신답.csv',\n", | |
| " '신당.csv',\n", | |
| " '신대방.csv',\n", | |
| " '신대방삼거리.csv',\n", | |
| " '신도림.csv',\n", | |
| " '신림.csv',\n", | |
| " '신사.csv',\n", | |
| " '신설동.csv',\n", | |
| " '신용산.csv',\n", | |
| " '신정.csv',\n", | |
| " '신정네거리.csv',\n", | |
| " '신중동.csv',\n", | |
| " '신촌.csv',\n", | |
| " '신풍.csv',\n", | |
| " '신흥.csv',\n", | |
| " '쌍문.csv',\n", | |
| " '아차산.csv',\n", | |
| " '아현.csv',\n", | |
| " '안국.csv',\n", | |
| " '안암.csv',\n", | |
| " '암사.csv',\n", | |
| " '압구정.csv',\n", | |
| " '애오개.csv',\n", | |
| " '약수.csv',\n", | |
| " '양재.csv',\n", | |
| " '양천구청.csv',\n", | |
| " '양평.csv',\n", | |
| " '어린이대공원.csv',\n", | |
| " '여의나루.csv',\n", | |
| " '여의도.csv',\n", | |
| " '역삼.csv',\n", | |
| " '역촌.csv',\n", | |
| " '연신내.csv',\n", | |
| " '영등포구청.csv',\n", | |
| " '영등포시장.csv',\n", | |
| " '오금.csv',\n", | |
| " '오목교.csv',\n", | |
| " '옥수.csv',\n", | |
| " '온수.csv',\n", | |
| " '올림픽공원.csv',\n", | |
| " '왕십리.csv',\n", | |
| " '용답.csv',\n", | |
| " '용두.csv',\n", | |
| " '용마산.csv',\n", | |
| " '우장산.csv',\n", | |
| " '월곡.csv',\n", | |
| " '월드컵경기장.csv',\n", | |
| " '을지로3가.csv',\n", | |
| " '을지로4가.csv',\n", | |
| " '을지로입구.csv',\n", | |
| " '응암.csv',\n", | |
| " '이대.csv',\n", | |
| " '이촌.csv',\n", | |
| " '이태원.csv',\n", | |
| " '일원.csv',\n", | |
| " '잠실.csv',\n", | |
| " '잠실나루.csv',\n", | |
| " '잠실새내.csv',\n", | |
| " '잠원.csv',\n", | |
| " '장승배기.csv',\n", | |
| " '장암.csv',\n", | |
| " '장지.csv',\n", | |
| " '장한평.csv',\n", | |
| " '제기동.csv',\n", | |
| " '종각.csv',\n", | |
| " '종로3가.csv',\n", | |
| " '종로5가.csv',\n", | |
| " '종합운동장.csv',\n", | |
| " '중계.csv',\n", | |
| " '중곡.csv',\n", | |
| " '중화.csv',\n", | |
| " '증산.csv',\n", | |
| " '지축.csv',\n", | |
| " '창동.csv',\n", | |
| " '창신.csv',\n", | |
| " '천왕.csv',\n", | |
| " '천호.csv',\n", | |
| " '철산.csv',\n", | |
| " '청구.csv',\n", | |
| " '청담.csv',\n", | |
| " '청량리.csv',\n", | |
| " '총신대입구(이수).csv',\n", | |
| " '춘의.csv',\n", | |
| " '충무로.csv',\n", | |
| " '충정로.csv',\n", | |
| " '태릉입구.csv',\n", | |
| " '하계.csv',\n", | |
| " '학동.csv',\n", | |
| " '학여울.csv',\n", | |
| " '한강진.csv',\n", | |
| " '한성대입구.csv',\n", | |
| " '한양대.csv',\n", | |
| " '합정.csv',\n", | |
| " '행당.csv',\n", | |
| " '혜화.csv',\n", | |
| " '홍대입구.csv',\n", | |
| " '홍제.csv',\n", | |
| " '화곡.csv',\n", | |
| " '화랑대.csv',\n", | |
| " '회현.csv',\n", | |
| " '효창공원앞.csv']" | |
| ] | |
| }, | |
| "execution_count": 4, | |
| "metadata": {}, | |
| "output_type": "execute_result" | |
| } | |
| ], | |
| "source": [ | |
| "del fileList[0]\n", | |
| "fileList" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 5, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [ | |
| "df = pd.read_csv('가락시장.csv')" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": 6, | |
| "metadata": {}, | |
| "outputs": [ | |
| { | |
| "ename": "UnicodeDecodeError", | |
| "evalue": "'utf-8' codec can't decode byte 0xbb in position 0: invalid start byte", | |
| "output_type": "error", | |
| "traceback": [ | |
| "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m", | |
| "\u001b[1;31mUnicodeDecodeError\u001b[0m Traceback (most recent call last)", | |
| "\u001b[1;32m<ipython-input-6-dc33d864bdfd>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m 3\u001b[0m \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 4\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mfileList\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m----> 5\u001b[1;33m \u001b[0mdf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mi\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencoding\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;34m\"utf-8\"\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 6\u001b[0m \u001b[1;31m# print(type(i))\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32mD:\\Anaconda3\\envs\\me\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36mparser_f\u001b[1;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)\u001b[0m\n\u001b[0;32m 695\u001b[0m skip_blank_lines=skip_blank_lines)\n\u001b[0;32m 696\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 697\u001b[1;33m \u001b[1;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 698\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 699\u001b[0m \u001b[0mparser_f\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m__name__\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mname\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32mD:\\Anaconda3\\envs\\me\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m_read\u001b[1;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[0;32m 422\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 423\u001b[0m \u001b[1;31m# Create the parser.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 424\u001b[1;33m \u001b[0mparser\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 425\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 426\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32mD:\\Anaconda3\\envs\\me\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[0;32m 888\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'has_index_names'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'has_index_names'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 889\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 890\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 891\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 892\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0mclose\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32mD:\\Anaconda3\\envs\\me\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m_make_engine\u001b[1;34m(self, engine)\u001b[0m\n\u001b[0;32m 1115\u001b[0m \u001b[1;32mdef\u001b[0m \u001b[0m_make_engine\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mengine\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;34m'c'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1116\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'c'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1117\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mCParserWrapper\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mf\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1118\u001b[0m \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1119\u001b[0m \u001b[1;32mif\u001b[0m \u001b[0mengine\u001b[0m \u001b[1;33m==\u001b[0m \u001b[1;34m'python'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32mD:\\Anaconda3\\envs\\me\\lib\\site-packages\\pandas\\io\\parsers.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, src, **kwds)\u001b[0m\n\u001b[0;32m 1846\u001b[0m \u001b[0mkwds\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'usecols'\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0musecols\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1847\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1848\u001b[1;33m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_reader\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mparsers\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mTextReader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msrc\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 1849\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munnamed_cols\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0munnamed_cols\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 1850\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;32mpandas\\_libs\\parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[1;34m()\u001b[0m\n", | |
| "\u001b[1;32mpandas\\_libs\\parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._setup_parser_source\u001b[1;34m()\u001b[0m\n", | |
| "\u001b[1;32mD:\\Anaconda3\\envs\\me\\lib\\genericpath.py\u001b[0m in \u001b[0;36mexists\u001b[1;34m(path)\u001b[0m\n\u001b[0;32m 17\u001b[0m \u001b[1;34m\"\"\"Test whether a path exists. Returns False for broken symbolic links\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 18\u001b[0m \u001b[1;32mtry\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 19\u001b[1;33m \u001b[0mos\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstat\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mpath\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m 20\u001b[0m \u001b[1;32mexcept\u001b[0m \u001b[0mOSError\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m 21\u001b[0m \u001b[1;32mreturn\u001b[0m \u001b[1;32mFalse\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n", | |
| "\u001b[1;31mUnicodeDecodeError\u001b[0m: 'utf-8' codec can't decode byte 0xbb in position 0: invalid start byte" | |
| ] | |
| } | |
| ], | |
| "source": [ | |
| "# df = pd.read_csv('dataset.csv')\n", | |
| "\n", | |
| "df = []\n", | |
| "for i in fileList:\n", | |
| " df = pd.read_csv(i, encoding = \"utf-8\")\n", | |
| "# print(type(i))" | |
| ] | |
| }, | |
| { | |
| "cell_type": "code", | |
| "execution_count": null, | |
| "metadata": {}, | |
| "outputs": [], | |
| "source": [] | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "me", | |
| "language": "python", | |
| "name": "me" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 3 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython3", | |
| "version": "3.6.7" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 2 | |
| } |
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