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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273
11.6 受賞者の移住
df_temp=df[df.age_at_death.notnull()] #
❶
data = pd.DataFrame( #
❷
{'age at death':df_temp.age_at_death,
'date of birth':df_temp.date_of_birth.dt.year})
sns.lmplot('date of birth', 'age at death', data,\
size=6, aspect=1.5)
❶
'age_at_death'
フィールドがない全行を取り除き、一時的な
DataFrame
を作成する。
❷ 改良した
df_temp
から目的の
2
つの列だけを持つ新しい
DataFrame
を作成する。
dt
アクセッサ
（
http://pandas.pydata.org/pandas-docs/stable/basics.html#basics-dt-accessors
）を使って
date_
of_birth
から年だけを取得する。■↓
これは図
11-24
を作成し、ノーベル賞史上で寿命が
10
年程度伸びていることを示しています。
11.6
受賞者の移住
9
章でノーベル賞データセットをクリーニングしたときに、受賞者の出生地と受賞時の国を記録
している重複エントリが見つかりました。この重複エントリを保持し、受賞時の国が出生地と異な
る
104
人の受賞者が得られました。これに関して何かストーリーは語れるでしょうか。
受賞者が出生国から帰化国に移動したパターンを可視化するには、ヒートマップを使って ...
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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.