November 2017
Intermediate to advanced
328 pages
6h 51m
Japanese
Content preview from 入門 PySpark ―PythonとJupyterで活用するSpark 2エコシステム
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190
9
章
Blaze
によるポリグロットパーシステンス
動作の様子を見てみるために、元々のデータセットをpandas の
DataFrame
に読み込みましょう。
traffic_pd = pd.read_csv('../Data/TrafficViolations.csv')
読 み 込 み が 終 わ れ ば 、デ ータセットを 直 接
traffic_2013
オ ブ ジ ェ クトに 渡 し 、Blazeの
.compute(...)
メソッド で 演 算を 実 行 できます 。このメソッド の 最 初 の引数 には変 換 の オブ ジ ェクト（ここで は
traffic_
2013
）を、2 番めのパラメータには変換の対象となるデータを指定します。
bl.compute(traffic_2013, traffic_pd).head(2)
このコードの出力は次のようになります。
リストのリストやNumPy配列のリストを渡すこともできます。次のコードでは、DataFrame
の
.values
属性を使ってDataFrame を構成しているNumPy 配列のリストにアクセスしています。
bl.compute(traffic_2013, traffic_pd.values)[0:2]
このコードの出力は、期待どおりになります。
9.4.3
列の操作
Blaze では、数値型の列に対して簡単に数値演算を行えます。本章で扱っているデータセット中の交
通違反は、すべて 2013 年から 2016 年の間に起きたもので ...
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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.