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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163
5
장
pandas를 사용한 데이터 분석
In [22]: df.dtypes
➍
Out[22]: numbers float64
floats float64
names object
dtype: object
➊
새로운 열을 사전 자료형으로 추가한다. 인덱스 정보는 손실된다.
➋
인덱스 정보가 있는
DataFrame
객체로 새로운 열을 추가한다. 기존 인덱스 정보가 보존된다.
➌ 값이 누락된
DataFrame
객체를 추가하면 없는 값은
NaN
이 된다.
➍
구조화된
ndarray
객체와 마찬가지로 열마다 다른
dtype
을 가진다.
누락된 값이 생겼음에도 대부분의 메서드는 여전히 잘 동작한다.
In [23]: df[['numbers', 'floats']].mean()
➊
Out[23]: numbers 40.00
floats 3.55
dtype: float64
In [24]: df[['numbers', 'floats']].std()
➋
Out[24]: numbers 35.355339
floats 1.662077
dtype: float64
➊
지정한 두 열의 평균을 계산한다(
NaN
값이 있는 행은 무시한다).
➋
지정한 두 열의 표준편차를 계산한다(
NaN
값이 있는 행은 무시한다).
5.1.2
DataFrame
클래스 다루기:
2
단계
이제 표준정규분포 값이 있는
ndarray
기반 ...
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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.