March 2022
Beginner to intermediate
796 pages
18h 14m
Korean
Content preview from 파이썬을 활용한 금융 분석(2판) : 파이썬의 기초부터 금융공학, 머신러닝, 퀀트 분석, 매매 시스템 구현까지
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308
3
부
금융 데이터 과학
➊
구조화된
ndarray
객체를 디스크에 저장한다.
➋
디스크 사이즈는 메모리에 비해 크지 않다(바이너리 저장).
➌
구조화된
ndarray
데이터를 디스크에서 읽는다.
➍
정상적인
ndarray
객체
이 예제는 디스크 쓰기가 하드웨어 특성에 좌우된다는 것을 보여준다. 쓰기 속도가 집필 시점
의 표준
SSD
속도인 초당
500MB
수준이기 때문이다.
어쨌든 이런 방식의 데이터 읽고 쓰기는
SQL
데이터베이스나
pickle
모듈 직렬화보다 빠른
데 그 이유는 두 가지다. 우선 데이터가 주로 숫자고 두 번째로
NumPy
가 바이너리 저장 방식을
사용해서 오버헤드가 거의 없기 때문이다. 물론 이 방식을 쓰면
SQL
데이터베이스의 기능을
사용할 수 없다. 이때는
9
.
3
절에서 설명하는
PyTables
라이브러리가 도움이 된다.
9.2
pandas
를 이용한 입출력
pandas
라이브러리의 강점 중 하나는 다음과 같은 여러 가지 데이터 포맷으로 쓰거나 읽을 수
있다는 점이다.
●
CSV
comma
-
separated
value
●
SQL
Structured
Query
Language
●
XLS
/
XSLX
Microsoft
Excel
File
●
JSON
JavaScript
Object
Notation
●
HTML
HyperText
Markup
Language
[표
9
-
1
]은
pandas
와
DataFrame
클래스에서 입출력을 지원하는 모든 포맷의 목록이다. 함수
의 인수 목록에 대해서는
pandas
문서를 참조한다.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.