August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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193
8.8 まとめ
In [0]: df1 = pd.DataFrame({'foo': [1, 2, 3],
'bar':['a', 'b', 'c']})
In [1]: df2 = pd.DataFrame({'baz': [7, 8, 9, 11],
'qux':['p', 'q', 'r', 't']})
In [2]: pn = pd.Panel({'item1':df1, 'item2':df2})
In [3]: pn
Out[3]:
<class 'pandas.core.panel.Panel'>
Dimensions: 2 (items) x 4 (major_axis) x 4 (minor_axis) #
❶
Items axis: item1 to item2
Major_axis axis: 0 to 3
Minor_axis axis: bar to qux
❶
Panel
のメジャー軸とマイナー軸（行と列）は、
2
つの
DataFrame
を格納するように拡張されている。
Panel
アイテムは必要に応じて欠けている行や列に対応するように拡張され、パディングとして
NaN
を追加します。角括弧を使うと、名前で
Panel
アイテムを選択できます。
pn['item1']
Out[66]:
bar baz foo qux
0 a NaN 1 NaN
1 b NaN 2 NaN
2 c NaN 3 NaN
3 NaN NaN NaN NaN
Panel
は
pandas
であまり使わない機能ですが、
Excel
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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.
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.