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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182
9
章
Blaze
によるポリグロットパーシステンス
返される結果は次のようになります。
ここからわかるとおり、フィールドを定義することで NumPy の配列が置き換えられ、初めて
simple
Data_np
を作成したときとは違い、配列の各要素は行になっています。
9.3.2
pandas
の
DataFrame
の利用
pandasのDataFrameは内部でNumPyのデータ構造を使っているので、DataFrameは労せず
DataShapeに変換できます。
まず、簡単な DataFrameを作成しましょう。最初に pandasをインポートします。
import pandas as pd
次にDataFrameを作成します。
simpleDf = pd.DataFrame([
[1,2,3],
[4,5,6]
], columns=['a','b','c'])
そしてこの DataFrameをDataShapeに変換します。
simpleData_df = bl.Data(simpleDf)
データの取り出しは、NumPyの配列から DataShape を作成したときと同じように行えます。次のコ
マンドを実行してみましょう。
simpleData_df['a']
出力は次のようになります。
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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.
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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.