May 2018
Intermediate to advanced
556 pages
13h 21m
Japanese
book
Pythonデータサイエンスハンドブック ―Jupyter、NumPy、pandas、Matplotlib、scikit-learnを使ったデータ分析、機械学習
by Jake VanderPlas, 菊池 彰
Content preview from Pythonデータサイエンスハンドブック ―Jupyter、NumPy、pandas、Matplotlib、scikit-learnを使ったデータ分析、機械学習
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3.8
データセットの結合：
merge
と
join
155
3.8.6
事例：米国州データ
Merge
と
Join
は、異なるソースからのデータを結合する際、頻繁に使用します。ここでは、米
国の州とその人口に関するいくつかのデータを使って例を示します。データファイルは
http://
github.com/jakevdp/data-USstates/
から取得できます
＊
1
。
In[19]:
# Following are shell commands to download the data
以下は、データをダウンロードするコマンド
# !curl -O https://raw.githubusercontent.com/jakevdp/
# data-USstates/master/state-population.csv
# !curl -O https://raw.githubusercontent.com/jakevdp/
# data-USstat
es/master/state-areas.csv
# !curl -O https://raw.githubusercontent.com/jakevdp/
# data-USstates/master/state-abbrevs.csv
pandas
の
read_csv()
関数を使って、
3
つのデータセットを見てみましょう。
In[20]: pop = pd.read_csv('state-population.csv')
areas = pd.read_csv('state-areas.csv') ...
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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.