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      "body": "오늘은 pandas에 대한 연습문제를 가져 왔습니다!\n\nnumpy를 조금? 활용하는 식도 있구요!\n\n\n오늘의 연습문제 입니다!\n\n#1. 랜덤으로 5개의정수를 만들어 시리즈로 생성하기\n#2. 랜덤으로 5개의 실수를 만들어 시리즈로 생성하기\n#3. 혈액형 통계 수치를 이용하여 인덱스를 가지는 시리즈 생성하기\n# 4. 1 ~ 25숫자를 가지는 DataFrame만들기\n#5. 아래와 같은 모습의 DataFrame만들기\n\n\n\n\n\n내가쓴식\n\n\n![1.png](https://cdn.steemitimages.com/DQmQrBokb9xhbxbYv63mPd6AL7Ru4v4N1j2wpBzVfDVCqKc/1.png)\n![2.png](https://cdn.steemitimages.com/DQmXEgySrLJW2Ng6FcCu9KEjHvLgYcn7MMbY9CehM7PBk3x/2.png)\n![3.png](https://cdn.steemitimages.com/DQmPuZfxSxbajhX7B5YhaibEsPjcLFMUdrmiNd5Mr1UGaBg/3.png)\n\n설명주석\n\n![1#.png](https://cdn.steemitimages.com/DQmYo9nUUgdEdSC5DLPNJE9WENNWsJDJsFsfHV5hkHjZf8S/1#.png)\n![2#.png](https://cdn.steemitimages.com/DQmawhpjDPFQoeMYpd67z67Z5AYJSouZFJf5DJ2inhsbiaV/2#.png)\n![3#.png](https://cdn.steemitimages.com/DQmaJTKZ9mUr5FozPBW2wsp8CtFfFep4ihAkGZCHfw3XgLy/3#.png)\n\n\n\n텍스트 식\n\n\n#1. 랜덤으로 5개의정수를 만들어 시리즈로 생성하기\n#pandas, random 불러오기\nimport pandas as pd\nimport random\n\n\ns = pd.Series([random.randint(1,9) for i in range(5)])\nprint(s)\n#0    9\n#1    1\n#2    7\n#3    5\n#4    8\n#dtype: int64\n\n\n#2. 랜덤으로 5개의 실수를 만들어 시리즈로 생성하기\n#랜덤으로 실수 값으로 1부터 9까지 랜덤으로 5개 뽑기\ns1 = pd.Series([float(random.randint(1,9)) for i in range(5)])\nprint(s1)\n#0    2.0\n#1    7.0\n#2    8.0\n#3    4.0\n#4    1.0\n#dtype: float64\n\n\n#3. 혈액형 통계 수치를 이용하여 인덱스를 가지는 시리즈 생성하기\n#결과값\n#A형     34.2\n#B형     27.1\n#O형     26.7\n#AB형    11.5\n#dtype  float64\n\n\n#혈액형\nblood = ['A형', 'B형', 'O형', 'AB형']\n#혈액형 통계자료\nst = [34.2, 27.1, 26.7, 11.5]\n\ns3 = pd.Series(st, index = blood)\n#A형     34.2\n#B형     27.1\n#O형     26.7\n#AB형    11.5\n#dtype  float64\n\n# 4. 1 ~ 25숫자를 가지는 DataFrame만들기\n\n\n#numpy 불러오기\nimport numpy as np\n# 1~25숫자를 5:5형태를 가진 2차원으로 출력\nnum = np.arange(1,26).reshape(5,5)\n#array([[ 1,  2,  3,  4,  5],\n#       [ 6,  7,  8,  9, 10],\n#       [11, 12, 13, 14, 15],\n#       [16, 17, 18, 19, 20],\n#       [21, 22, 23, 24, 25]])\n\n# 2차원을 데이터프레임으로 만들기\nnum = pd.DataFrame(num)\n\n#컬럼 설정\nnum.columns = ['a','b','c','d','e']\n#인덱스 설정\nnum.index = [1,2,3,4,5]\nprint(num)\n#    a   b   c   d   e\n#1   1   2   3   4   5\n#2   6   7   8   9  10\n#3  11  12  13  14  15\n#4  16  17  18  19  20\n#5  21  22  23  24  25\n\n\n#5. 아래와 같은 모습의 DataFrame만들기\n\n#   나이  번호 이름   점수\n#0  15   1  a  100\n#1  16   2  b   90\n#2  15   3  c   80\n#3  14   4  d   70\n\n\n# dict형태로 번호,이름,점수,나이 columns값 그리고 각 행의 벨류값 입력\ndata = [\n        {'번호':1, '이름':'a', '점수':100, '나이':15},\n        {'번호':2, '이름':'b', '점수':90, '나이':16},\n        {'번호':3, '이름':'c', '점수':80, '나이':15},\n        {'번호':4, '이름':'d', '점수':70, '나이':14}\n        ]\n\n\n#입력한 데이터를 데이터프레임으로 저장\ndf = pd.DataFrame(data)\nprint(df)\n#   나이  번호 이름   점수\n# 0  15   1  a  100\n# 1  16   2  b   90\n# 2  15   3  c   80\n# 3  14   4  d   70\n\n\n\n\n\n\n오늘 준비한건 여기까지입니다! \n\nPandas 맛보기였는데요..!\n\n다음에는 심화를 들고 오도록 하겠습니다 :)\n\n오늘도 읽어주셔서 감사드리고 다들 좋은 하루 되세요!!",
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      "body": "<center>![image](https://pubbee.s3.ap-northeast-2.amazonaws.com/origin/11-1543990731174.png)</center>\n시드니 캥거루성지 \nMorisset Park\n\n\n호주가기전 수도없이 들었던\n\n\"호주가면 캥거루 많이 보겠네\"\n\n하지만 시티 쪽에 있는 사람은 예외라는 점\n\n호주 오고나서 5개월만에 \n\n캥거루를 보러갔닼ㅋㅋㅋㅋㅋ\n\n그것도 3시간 기차타고 가서말이다\n:)\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/1-1543990866970.png\n\n\n먼저 모리셋가는 길\n\nTown Hall Station \nㅣ\nHornsby Station 플랫폼 환승\nㅣ \nMorisset Staion\nㅣ \n공원까지 역앞 픽업차랑 (4불정도) \n\n총3시간정도 소요\n\n준비물\n\n캥거루간식 - 당근, 바나나, 사과\n(나는 당근, 사과챙겨감)\n* 다녀온 결과 바나나를 제일 좋아하더군요\n\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/2-1543990876309.png\n\n\n\n\n드디어 거의 3시간만에 모리셋역 도착!\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/3-1543990883516.png\n\n\n\n\n\n픽업 차량을 타고 모리셋파크 들어가는 길\n\n캥거루 만날꺼라는 설렘으로 \n\n애기들 어디뛰어다니나 \n\n보다가 공원에 금방 도착!\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/4-1543990889069.png\n\n\n\n?\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/5-1543990892305.png\n\n\n??!!\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/6-1543990895887.png\n\n\n!!!!!!\n\n\n\n저건 캥거루\n\n생각보다 커서 무서웠덚ㅎㅎㅎㅎ\n\n밖에 너무 없어서 \n\n숲속으로 들어가보기로함\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/7-1543990901148.png\n\n\n\n\n\n\n???\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/8-1543990906013.png\n\n\n\n\n뀨우\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/9-1543990910094.png\n\n\n\n\n\n\n\n뀨우2\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/10-1543990915894.png\n\n\n\n\n\n우리가 좀 늦게 도착해서\n\n점심시간에 사람들이 \n\n먹이를다주고가서 \n\n우리껀 잘 안먹었다는...\n\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/11-1543990921428.png\n\n\n\n\n\n\n그래도 사과를\n\nㅉ개주니까 좀먹는닿ㅎㅎㅎ\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/12-1543990929361.png\n\n\n\n너네안먹으니까\n\n나라도 먹어야지\n\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/13-1543990934481.png\n\n\n\n\n먹어\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/14-1543990943129.png\n\n\n\n먹어2 (feat.박희영)\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/15-1543990947878.jpg\n\n\n\n\n도도한 녀석\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/16-1543990951696.jpg\n\n\n먹이를 너무 안먹어 속상했지만\n\n그래도 너무 귀여웠다는 ㅠㅜ \n\n같이 찍었던건 다 올라비\n\n첫번째 사진만 캥거루라늖ㅎㅎㅎㅎ\n\n생각보다 털도 너무 부드럽고 깨끗했고\n\n엄청순했다 ㅎㅎ\n\n바닥에 똥밭이란건 함정\n\n늦게 온게 아쉬워 다음에 또오고 싶다는\n\n마음이 많았는데 너무멀어서.... \n\n저때가 마지막이였다... \n\n사진만봐도 힐링이되는 아이들 ㅠㅜ\n\n야생에 있어서 뭔가더 \n\n참신함이랄까 새로운 느낌을 주는것들이\n\n많았던것같다 \n\n한국가기전 시드니에서 제일큰 동물원가서도\n\n캥거루를 봤는데 답답해하는게 느껴져\n\n보면서도 뭔가 슬펐었던 거 같다\n\nAnyway 오늘은 여기까지\n\n역시 오늘도 분량조절은 실패\n\n끝은 항상 아무말 대잔치네욯ㅎㅎㅎㅎ\n\n읽어주셔서 감사드리고\n\n내일 하루도 승리하시는 \n\n날 되시길 바라며 굳나잇!!\n<br/><hr><br/><center><a href='https://kr.tripsteem.com/post/tt20181206t000244207z'>시드니 근교여행 캥거루 보러 모리셋파크 / Morisset Park</a></center><br>\n<center>\n이 글은 스팀 기반 여행정보 서비스\n\n<a href='https://kr.tripsteem.com/'><b>trips.teem</b></a> 으로 작성된 글 입니다.\n\n<a href='https://kr.tripsteem.com/'>![image](https://cdn.steemitimages.com/DQmbuSfKHpgvnrZ5kQ8KUnBvhrCiNatU6X7a6Dy4Ka2f1o5/banner_winter.jpg)</a>\n</center>",
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      "body": "<center>![image](https://pubbee.s3.ap-northeast-2.amazonaws.com/origin/7-1543989953585.jpg)</center>\n이번에는 일했던 환경들을 구체적으로 \n\n설명해볼까 합니다\n\n지루하겠지만 그냥 하고 싶어서 하겠음\n\n(예비 워홀러들에게 도움이 될 수 있을까 해서...)\n\n새로운 일자리\n시드니 젤큰 백화점 푸드코트 그리스 음식점\nZeusStreetGreek\n포지션 : 샌드위치 메이커 및 포스(계산)\n\n일을 바꾸고난뒤 바뀐건 크게 세가지 \n\n임금 근무환경 영어노출환경\n\n키친핸드에서는 거의 노예부르듯이 키친에서 잡일을 하는 파트였음으로\n\n어쩔 수 없는 것들이 많았는데 \n\n옮긴곳에서는 샌드위치 메이커였는데 \n\n나름 따로 섹션도 있었고 손만 빠르면 되는 \n\n포지션이여서 \n\n일도 나름 수월했다 \n\n다른 포지션 들도 샐러드만드는 포지션 \n\n손님받는 포지션등등\n\n어려운 일도 없었다 그래서 그런지 \n\n분위기도 훨씬 가벼웠고\n\n서로서로 도와가며 일하는 것이있어서 \n\n모든 스탭들이 모든 파트의 일을 할줄도 알았다\n\n같이 일하는 친구들모두 너무나도 긍정적인 \n\n친구 들이었고 다국가 스탭 들로 페루, 프랑스, \n\n브라질, 콜롬비아, 그리스, 말레이시아, \n\n한국인등 많은 문화권에 있는 친구들 이랑도 \n\n얘기하며 좋은 것들을 많이 공유 했던 것 같다\n\n전에는 없던 여유를 가졌었달까 그리고 \n\n전에는 일상영어만 썼다면 조금은 개인적인 \n\n얘기도 섞어서 얘기할 수 있는기회도\n\n있었던 것 같다 \n\n그리고 제일 중요한 임금 \n\n호주에서 무슨일을 하던 비록 알바 더라도 \n\n제공하는것이\n시급, \n연금, \n에뉴얼리브\n(초과수당 및 휴가로 나가는 보너스 시간)\n\n안타깝게도 많은 곳들이 연금이나 \n\n에뉴얼리브, 시급마저도 정확하게\n\n주지 않는 곳이많다\n\n또 한가지 특징이 세금을 15퍼센트 강제로 \n\n나라에 내야 한다 \n\n내가 알기론 지금법이 15퍼센트 강제 납부 \n\n돌려 받을 수 없다\n\n하지만 나는 운이좋게도 일할 때 까지인 \n\n16년 12월 이후 법이 바뀐케이스라\n\n이전 법은 텍스 100퍼센트 환급 이였다\n\n15퍼센트가 작을것 같지만 엄청난 돈이다\n\n내가 이곳에서만 6개월 정도 일했지만 택스만 \n\n250만원을 납부했고 다시 받았다\n\n그래서 업주들이 택스 없이 임금을 딜하는 \n\n경우도 많다 그럴때면 확실히 \n\n득과 실을 따져서\n\n일을 시작하는 것이 좋다 \n\n내가 일할 당시 최저시급이 평일 17.7불 \n\n토요일 24불 일요일 27불 \n\n홀리데이 2.5배 45불\n\n제이미에서 키친핸드로 일했었을때는 \n\n연봉제여서 임금이 정해진 대로 받았다 \n\n홀리데이는 따로 쳐주어서\n\n에뉴얼리브에 시간이 쌓이고 주말 수당 없이 \n\n시급이 19.8불이였다\n\n임금은 나쁘지 않았지만 일이 너어어어어무 \n\n힘들었고 시간도 주5일이었지만\n\n세컨잡 잡기는 힘들었기 스케쥴을 받았기 \n\n때문에 더욱 싫었던것 같다\n\n새로 갔던 곳은 프랜차이즈 음식점이여서 \n\n주말수당, 홀리데이수당, 연금, 에뉴얼리브 \n\n모든걸 정확하게 주어서 \n\n일하면서도 만족도가 좋았던 것같다\n\n일하면서도 나름 인정받아 내가 일하고싶은 \n\n시간대에 일했고\n\n오전부터 10시부터 4시까지 일하고 \n\n세컨잡으로 시간대 잡기 쉬운\n\n한인레스토랑에서 5시부터 11시에서12시 \n\n정도 일할 수 있는 환경도 만들었다\n\n여기시급은 15불 캐쉬잡이여서 주말 수당과 \n\n연금 에뉴얼리브 등은 해당되지 않았다\n\n저렇게 일했을때 최고가 1200불 주에 \n\n100만원돈 벌었던 것 같다.\n\n하지만 방세 밥값등 빼야 한다는\n\n1주일에 60시간정도... 1일 데이오프 \n\n한 3달정도 이렇게 했는데 \n\n제이미 정도는 아니였지만 꽤나 \n\n힘들었던걸로 기억한다\n\n그래도 통장에 차곡 차곡쌓이니 \n\n일을 안할 수가 있는가 :)\n\n좋았던점 중 하나는 또 한국처럼 \n\n월급이 아니라 주급이라는점\n\n우리는 한달에한번 통장채워지는 만족을 \n\n얻지만 호주는 한달에 네번이나 \n\n그느낌을 받을수 있다 ㅎㅎㅎ\n\n\n\n여기서부터 사진\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/1-1543987955826.png\n시드니 시티웨스트필드 \nSydney City Westfield\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/2-1543987960363.png\n\n\n\n5층 푸드코트\n\n푸드코트라고 별거 없을꺼같은데\n\n한층에 세계 맛집을 추려 놨다\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/3-1543987965483.png\n\n\n\n우리가게 처음 오픈했을때\n\n내가 이래봐도 오픈멤버\n\n하지만 오픈날 당시 오프여서 \n\n사람이 엄청많았던 사진만 봤다\n\n매니저가 계속 보여주면서 \n\n니는 내 덕분이라캄서\n\n생색을 그냥 ㅋㅋㅋㅋㅋㅋㅋㅋㅋ\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/4-1543987977361.jpg\n\n\n저 마이콜머리가 매니져\n\n근데 엄청 착함\n\n고마운일이 한두가지가 아니다\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/5-1543987983061.jpg\n\n\n매장사진\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/6-1543987986381.jpg\n\n\n브레이크 마다 먹었던 조합\n\n여기서 양고기를 배웠죠\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/7-1543988099976.jpg\n\n나름 열심히 했단 증거?\n\nEmployee of the Month!\n\n이 달의 직원이죠 :)\n\n선물로는\n\n우리나라로 치면 CGV영화쿠폰\n\n10만원치 데헷\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/8-1543988107319.jpg\n\n\n\n나도 일이거의 끝나갈때 알아버린 \n\n푸드코트 뷰포인트였는데\n\n생각없이 폰을 테이블에 내뚜고\n\n셀카로 바꿧는데 \n\n읭?\n\n하늘이 저 마이 이뻤을 줄이야 \n\n사람이 땅만보고 다니면 안된다는.....\n\n알고난 후는 저곳은 내 브레이크 지정석\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/9-1543988115438.jpg\n\n힘들땐 뭐다?\n\n먹는거다 ㅇㅇ\n\n\n\n\n\n\nhttps://pubbee.s3.ap-northeast-2.amazonaws.com/origin/10-1543988119431.png\n\n\n\n내 코워커들\n\n\n\n\n\n이 글을 쓰니까 \n\n뭔가 호주땅에서 느낀 것들과 \n\n계획했던 것들을 되돌아보는 것 같아서\n\n다른사람에게 도움을 주려 쓰는 글인데\n\n되려 내가 힘을 얻게 되는 것 같네요...ㅎ\n\nAnyway! (Subway!)\n\n이번 포스팅도 역시나 분량조절 실패 ㅎㅎㅎㅎㅎ\n\n나름 구체적으로 쓴다고 썻는데 도움이 될런지 모르겠지만 \n\n준비하시는 분들 가계신분들 모두 응원하며 \n\n그냥 읽어주신 분들도 힘을 얻어 갔으면 하네요\n\n읽어주셔서 감사합니다 꾸벅\n\n안녀엉~~\n\n\n<br/><hr><br/><center><a href='https://kr.tripsteem.com/post/tt20181205t061146787z'>[호주워킹홀리데이] Rexypark의 다시쓰는 워홀일지(5)</a></center><br>\n<center>\n이 글은 스팀 기반 여행정보 서비스\n\n<a href='https://kr.tripsteem.com/'><b>trips.teem</b></a> 으로 작성된 글 입니다.\n\n<a href='https://kr.tripsteem.com/'>![image](https://cdn.steemitimages.com/DQmbuSfKHpgvnrZ5kQ8KUnBvhrCiNatU6X7a6Dy4Ka2f1o5/banner_winter.jpg)</a>\n</center>",
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      "title": "[호주워킹홀리데이] Rexypark의 다시쓰는 워홀일지(5)"
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      "body": "오늘은 numpy에 대한 연습문제를 가져 왔습니다!\n\npandas를 쓸때 유용하고 pandas는 머신러닝할 때\n\n많이쓰여 빅데이터를 하려면 잘 알아야 한다는…!\n\n오늘의 연습문제 입니다!\n\n1. 1차원 numpy 배열을 만들어 결과와 같이 출력하기\n2. 2차원 numpy 배열을 만들어 결과와 같이 출력하기\n3. 3차원 numpy 배열을 만들어 결과와 같이 출력하기\n4. 아래와 같은 행렬을 이용하여 조건에 맞는 코드 작성\n5. 아래와 같은 행렬을 이용하여 조건에 맞는 코드 작성\n6. 아래와 같은 행렬을 이용하여 조건에 맞는 코드 작성\n\nFinal exam\n1. 'ex1_지역별전기요금.csv' 파일 내용을 읽은 후 상위 5개 데이터 확인\n2. 배열의 크기 확인\n3. 중복 지역 존재 여부 확인 (unique)\n4. 전국 대상 가구수의 합\n5. 가구당 평균 전력사용량의 전국 평균값 (소수점 2자리 까지)\n6. 가구당 평균 전력사용량이 400을 넘는 지역과 대상 가구수\n\n내가쓴식\n\n\n![1.png](https://cdn.steemitimages.com/DQmeFuj3fGNBnFxsJmnZfyoFjoG6kXyvD1A1by649N1gshj/1.png)\n![2.png](https://cdn.steemitimages.com/DQmcZ1XQ7Ger27k4dq57CRZU7C1uZ9n4Tdd5prycPGDmdNn/2.png)\n![3.png](https://cdn.steemitimages.com/DQmW6jwcpGnTuXUK98MybExk8vfw8hs4R6d8yrqXtgbvugh/3.png)\n![4.png](https://cdn.steemitimages.com/DQmXtbreSRq4XMyyGL6nCPTU3FjqiXdi2y3p5R8MUoEzCAN/4.png)\n\n설명주석\n\n![#1.png](https://cdn.steemitimages.com/DQmf4DkfzGHd7CvYGiHZ9WE9XR2qEqZQ83E4s95q6J2EHyT/#1.png)\n![#2.png](https://cdn.steemitimages.com/DQmb1efWGYVzQj2ynw6zVkcsPU6tFR5XdJ46FKhWoLxRPdB/#2.png)\n![#3.png](https://cdn.steemitimages.com/DQmdS23qpAeAG1wtx8VBRfM3mD5wXSFzn24yMEe23MWcdKR/#3.png)\n![#4.png](https://cdn.steemitimages.com/DQma98o1wvvwgB6JjZFGkL6STzpW9zAyfWE6sMiYYKtkg4B/#4.png)\n\n\n\n\n\n텍스트 식\n\n\n\n\n\n\n# 1. 1차원 numpy 배열을 만들어 결과와 같이 출력하기\n#[ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]\n\nimport numpy as np\n\nex1 = np.array([i for i in range(1,30) if i%2 == 0 ])\n#[ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]\nex1 = np.array(range(0,30,2))\n#[ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]\nprint(ex1)\n#[ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]\n\n# 2. 2차원 numpy 배열을 만들어 결과와 같이 출력하기\n[[10, 20, 30, 40],\n  50, 60, 70, 80]]\n\nex2 = np.array([[10,20,30,40],[50,60,70,80,]])\nprint(ex2)\n[[10, 20, 30, 40],\n  50, 60, 70, 80]]\n\n# 3. 3차원 numpy 배열을 만들어 결과와 같이 출력하기\n#[[ 1,  2,  3],\n# [ 4,  5,  6]],\n\n#[[ 7,  8,  9],\n# [10, 11, 12]],\n\n#[[13, 14, 15],\n# [16, 17, 18]],\n\n#[[19, 20, 21],\n# [22, 23, 24]]]\n\n\nex3 = np.array([range(1,25)]).reshape(4,2,3)\nprint(ex3)\n#[[ 1,  2,  3],\n# [ 4,  5,  6]],\n\n#[[ 7,  8,  9],\n# [10, 11, 12]],\n\n#[[13, 14, 15],\n# [16, 17, 18]],\n\n#[[19, 20, 21],\n# [22, 23, 24]]]\n       \n       \n#4. 아래와 같은 행렬을 이용하여 조건에 맞는 코드 작성       \n#vector = np.array(range(0, 30, 2))\n\n# - 값 24 인덱싱\n# - 값 6 인덱싱\nvector = np.array(range(0, 30, 2))\n#[ 0,  2,  4,  6,  8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28]\n\n\nprint(vector[12])\n#24\n\n\nprint(vector[3])\n#6\n\n\n#5. 아래와 같은 행렬을 이용하여 조건에 맞는 코드 작성\nmatrix = np.array([\n                    [1, 2, 3, 4],\n                    [5, 6, 7, 8],\n                    [9, 10, 11, 12],\n                    [13, 14, 15, 16]\n                ])\n\n#- 값 8 인덱싱\n#- 값 2 인덱싱\n#- 값 9 인덱싱\n#- 값 15 인덱싱\n#arr[행인덱스,열인덱스]\n\nprint(matrix[1,3])\n#8\nprint(matrix[0,1])\n#2\nprint(matrix[2,0])\n#9\nprint(matrix[3,2])\n#15\n\n#6. 아래와 같은 행렬을 이용하여 조건에 맞는 코드 작성\nvector = np.array(range(-1, -6, -1))\n#[-1, -2, -3, -4, -5]\n# 코드 작성 – boolean 배열 이용\n\nboolean_idx = [False, True, False, True, False]\n\nprint(vector[boolean_idx])\n#[-2 -4]\n\n\nint_idx = [1,3]\nprint(vector[int_idx])\n#[-2 -4]\n\n\n\n#6. 1 ~ 30 의 실수로 이루어진 5 x 6 형태의 데이터 행렬을 만든 후 조건에 맞는 코드 작성\nex_6 = np.array(range(1,31)).reshape(5,6) \nprint(np.max(ex_6))\n#30\nprint(np.sum(ex_6, axis = 1))\n#[ 21,  57,  93, 129, 165]\nprint(np.mean(ex_6, axis = 0))\n#[13., 14., 15., 16., 17., 18.]\n\n#7 [[1, 2, 3], [4, 5, 6]]를 각행에 각각 10,20입력\na = np.array([[1, 2, 3], [4, 5, 6]])\nb = np.array([[10,20]])\nex7=np.concatenate((a,b.T),axis = 1)\n#다른버전 -> ex7=np.concatenate((a,b.transpose()),axis = 1)\nprint(ex7)\n# [[ 1,  2,  3, 10],\n#  [ 4,  5,  6, 20]]\n\n#Final exam\n#1. 'ex1_지역별전기요금.csv' 파일 내용을 읽은 후 상위 5개 데이터 확인\nex1 = np.loadtxt('/Users/rexypark/spyder_py/rexyPython/ex1_지역별전기요금.csv', delimiter = ',', encoding = 'ISO-8859-1', dtype = np.int)\nex1\n\nex1[0:5]\n#[[      1,  565082,     273,   27177],\n# [      2, 2827233,     444,   45111],\n# [      3, 1144913,     289,   29043],\n# [      4, 1131034,     230,   22436],\n# [      5,  380425,     391,   38020],\n# [      6,  668623,     364,   35245]]\n\n#2. 배열의 크기 확인\nprint(ex1.shape)\n#(17, 4)\n\n#3. 중복 지역 존재 여부 확인 (unique)\nprint(np.unique(ex1[:, 0]))\n#[ 1,  2,  3,  4,  5,  6,  7,  8,  9, 10, 11, 12, 13, 14, 15, 16, 17]\n\n#4. 전국 대상 가구수의 합\nprint(np.sum(ex1[:, 1]))\n#14882047\n\n#5. 가구당 평균 전력사용량의 전국 평균값 (소수점 2자리 까지)\nprint(round(np.mean(ex1[:,2]), 2))\n# 335.18\n\n#6. 가구당 평균 전력사용량이 400을 넘는 지역과 대상 가구수\nprint(ex1[ex1[:, 2] > 400, 0:2])\n#[[      2, 2827233],\n# [     10,   49394]]\n\n\n\n\nnumpy 이해만 조금하면 쉽게 풀리는 것 같아요!\n\n다음에 기회되면 빠르게 pandas도 들고 오도록 하겠습니다 :)\n\n오늘도 읽어주셔서 감사드리고 다들 좋은 하루 되세요!!",
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      "body": "호주가기전 수도없이 들었던\n\n\"호주가면 캥거루 많이 보겠네\"\n\n하지만 시티 쪽에 있는 사람은 예외라는 점\n\n호주 오고나서 5개월만에 \n\n캥거루를 보러갔닼ㅋㅋㅋㅋㅋ\n\n그것도 3시간 기차타고 가서말이다\n:)\n\n![1.png](https://cdn.steemitimages.com/DQmTrBUy8i2PsdckNGHwfS9PmHXqb7QYbac6fkdJd7AKYUF/1.png)\n\n\n먼저 모리셋가는 길\n\nTown Hall Station \nㅣ\nHornsby Station 플랫폼 환승\nㅣ \nMorisset Staion\nㅣ \n공원까지 역앞 픽업차랑 (4불정도) \n\n총3시간정도 소요\n\n준비물\n\n캥거루간식 - 당근, 바나나, 사과\n(나는 당근, 사과챙겨감)\n* 다녀온 결과 바나나를 제일 좋아하더군요\n\n\n\n\n\n\n![2.png](https://cdn.steemitimages.com/DQmXywXujXarSdrUBnqBeuVqv8gajurNrJJWo8a9St1xywD/2.png)\n\n\n\n\n\n드디어 거의 3시간만에 모리셋역 도착!\n\n\n\n\n![3.png](https://cdn.steemitimages.com/DQmSoX48eNbde45z5HyywVKyYnvykw5K3HMkTbbgdZeL1Fn/3.png)\n\n\n\n\n\n픽업 차량을 타고 모리셋파크 들어가는 길\n\n캥거루 만날꺼라는 설렘으로 \n\n애기들 어디뛰어다니나 \n\n보다가 공원에 금방 도착!\n\n\n\n\n![4.png](https://cdn.steemitimages.com/DQmbv34pXHGS4BpkPR1GjjcGyPxwaCufoV8WE48F2Zxafvv/4.png)\n\n\n\n\n\n?\n\n\n\n\n![5.png](https://cdn.steemitimages.com/DQmQRi3TRs44RdqYbALCNCVG45XMVG3T2F7tgNywCXrkpGx/5.png)\n\n\n\n\n\n??!!\n\n\n\n\n![6.png](https://cdn.steemitimages.com/DQmZjG2EytnqaVTjrBwtNiz9HVTDuAMtHDw1tEPJZWJVKgh/6.png)\n\n\n!!!!!!\n\n\n\n저건 캥거루\n\n생각보다 커서 무서웠덚ㅎㅎㅎㅎ\n\n밖에 너무 없어서 \n\n숲속으로 들어가보기로함\n\n\n\n\n\n\n\n![7.png](https://cdn.steemitimages.com/DQmaQYoznwCZcZ3RhzVjG7bQkSWugonrXh3KCHhoMnuKPHa/7.png)\n\n\n\n\n???\n\n\n\n\n![8.png](https://cdn.steemitimages.com/DQmYkSumvd85y1RX1nE38M3UayquYLWUcetV2pdbhnNhwn5/8.png)\n\n\n\n\n\n\n\n뀨우\n\n\n\n\n\n\n![9.png](https://cdn.steemitimages.com/DQmdU51EZ5cHZysBbYVWeVzeTASh9JRzVjcgYWeRggKe67i/9.png)\n\n\n\n\n\n\n\n\n\n뀨우2\n\n\n\n\n\n\n\n\n![10.png](https://cdn.steemitimages.com/DQmYrmGsJceZsmLmeUFzYS9kkcgnrHa3ZEJCg565ai99Mke/10.png)\n\n\n\n\n\n우리가 좀 늦게 도착해서\n\n점심시간에 사람들이 \n\n먹이를다주고가서 \n\n우리껀 잘 안먹었다는...\n\n\n\n\n\n\n\n\n\n\n![11.png](https://cdn.steemitimages.com/DQmUD4jFFz1suLRnLWWqvHWR42TAGScViRxkcugC983gFNd/11.png)\n\n\n\n\n\n\n그래도 사과를\n\n조개주니까 좀먹는닿ㅎㅎㅎ\n\n\n\n\n\n![12.png](https://cdn.steemitimages.com/DQmcq7mwjthUZfQEvCG8WwFkR1WB3cDdMpgPyPQQjTxQTiP/12.png)\n\n\n\n\n\n\n\n\n너네안먹으니까\n\n나라도 먹어야지\n\n\n\n\n\n\n![13.png](https://cdn.steemitimages.com/DQme99PgwZRo3mcMgRAisfAvLbywmbgcmm4oHnx8Ncoxkic/13.png)\n\n\n\n\n\n\n\n\n\n\n먹어\n\n\n\n\n\n![14.png](https://cdn.steemitimages.com/DQmQ6359QHuZ49SXCNoYrccgPXcUao1EKcx8fACwYjT9WNc/14.png)\n\n\n\n\n먹어2 (feat.박희영)\n\n\n\n\n\n\n\n\n![15.jpg](https://cdn.steemitimages.com/DQmceWyUFMVAZV1x9LcUFgAcumAzGuoT2yptrFSWPDrrtbR/15.jpg)\n\n\n\n\n도도한 녀석\n\n\n\n\n![16.jpg](https://cdn.steemitimages.com/DQmZXf4KhKSGHPzeqC8TW8bVXYTQAqVGDvdr5R7zdbDEiV7/16.jpg)\n\n\n\n\n먹이를 너무 안먹어 속상했지만\n\n그래도 너무 귀여웠다는 ㅠㅜ \n\n같이 찍었던건 다 올라비\n\n첫번째 사진만 캥거루라늖ㅎㅎㅎㅎ\n\n생각보다 털도 너무 부드럽고 깨끗했고\n\n엄청순했다 ㅎㅎ\n\n바닥에 똥밭이란건 함정\n\n늦게 온게 아쉬워 다음에 또오고 싶다는\n\n마음이 많았는데 너무멀어서.... \n\n저때가 마지막이였다... \n\n사진만봐도 힐링이되는 아이들 ㅠㅜ\n\n야생에 있어서 뭔가더 \n\n참신함이랄까 새로운 느낌을 주는것들이\n\n많았던것같다 \n\n한국가기전 시드니에서 제일큰 동물원가서도\n\n캥거루를 봤는데 답답해하는게 느껴져\n\n보면서도 뭔가 슬펐었던 거 같다\n\nAnyway 오늘은 여기까지\n\n역시 오늘도 분량조절은 실패\n\n끝은 항상 아무말 대잔치네욯ㅎㅎㅎㅎ\n\n읽어주셔서 감사드리고\n\n내일 하루도 승리하시는 \n\n날 되시길 바라며 굳나잇!!",
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      "author": "rexypark",
      "body": "안녕하십니까! 오늘도 연습문제를 들고왔습니다…!\n\n점점 하향으로 가는것 같지만… 기초탄탄!! \n\n오늘의 연습문제입니다\n\nvvvvvvvvvvv\n\n\n[문제 1] '2007-03-27' > '2007 03 27' 바꿔라\n\n\n [문제 2] 'Eighty percent of $ucce$$ i$ $howing up.'\n > Eighty percent of success is showing up. 바꿔라\n\n\n\n[문제 3] ['a', 'b', 'c'] > ['a', 'b', 'c', 'x', 'y']\n                               > ['a', 'b', 'c', ['x', 'y']] 바꿔라\n\n\n[문제 4] 리스트 안에 있는 '대전'개수 확인하기\n\nlist = [\n 서울', '부산', '광주', '대전', '부산',\n'대전', '대전', '서울', '부산', '대전',\n'광주', '울산', '대전', '동래', '서울'\n ]\n\n [문제 5]'bella', 'rex'를 남기고 모두 제거하기\n\nlist = ['bella', 'rex', 'dawny', 'won', 'hee']\n\n\n내가 쓴식\n\n![1.png](https://cdn.steemitimages.com/DQmUYGxHKchVPEqdDZg8Pt5zYQWEzCad5GNcneC3o2gb37D/1.png)\n![2.png](https://cdn.steemitimages.com/DQmceWf8UHZuXwc1mRevPpcxj8SLD2672oY7JUju2rkLh6Q/2.png)\n\n설명주석\n\n![3.png](https://cdn.steemitimages.com/DQmUZ11VPraaqgLmoCoGPvrACLwcA85yy8KutoRoejA3ZiU/3.png)\n![4.png](https://cdn.steemitimages.com/DQmQyU63KBtY8stJBAtQScH7bvhhn3eZyqRJjhRsv4pYZjv/4.png)\n\n텍스트식\n\n#[문제 1]문자열 Slicing\n#'2007-03-27' > '2007 03 27' 바꿔라\n\ndate = '2007-03-27'\n\nchange_date = (date[0:4] + ' ' + date[5:7] + ' ' + date[8:10])\n\n# [문제 2]'Eighty percent of $ucce$$ i$ $howing up.'\n# > Eighty percent of success is showing up.\n\nstr = 'Eighty percent of $ucce$$ i$ $howing up.'\n\n\nreplace_str = str.replace('$','s')\nprint(replace_str)\n# Eighty percent of success is showing up.\n\n\n# extend와 append차이점\n#[문제 3] ['a', 'b', 'c'] > ['a', 'b', 'c', 'x', 'y']\n#                        > ['a', 'b', 'c', ['x', 'y']] 바꿔라\nea_list = ['a', 'b', 'c']\n\nea_list.extend(['x','y'])\nea_list\n#['a', 'b', 'c', 'x', 'y']\n\nea_list.append(['x','y'])\nea_list\n#['a', 'b', 'c', ['x', 'y']]\n\n\n# [문제 4] 리스트 안에 있는 '대전'개수 확인하기\n# list = [\n# '서울', '부산', '광주', '대전', '부산',\n# '대전', '대전', '서울', '부산', '대전',\n# '광주', '울산', '대전', '동래', '서울'\n# ]\n\n\nlist = [\n'서울', '부산', '광주', '대전', '부산',\n'대전', '대전', '서울', '부산', '대전',\n'광주', '울산', '대전', '동래', '서울'\n]\n\ncount = list.count('대전')\nprint(count)\n# 5\n\n# [문제 5]'bella', 'rex'를 남기고 모두 제거하기\nlist = ['bella', 'rex', 'dawny', 'won', 'hee']\n\ndel list[2:]\n#['bella', 'rex']\n\nlist.remove('dawny')\nlist.remove('won')\nlist.remove('hee')\n#['bella', 'rex']\n\n\n기초이긴 하지만 모르면 절대 안되는 문법들!\n쉬우실 순 있지만 한번더 되새기는 시간이 되셨으면 좋겠습니당\n읽어주셔서 감사합니다 :)",
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      "title": "[파이썬 코딩]python / extend / append / extend / append와 replace의 차이점 / count / del / remove / 연습문제"
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      "author": "rexypark",
      "body": "ㅎㅎㅎㅎ저도 이름듣고 영어지만 친숙한 느낌이 :)",
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