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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140
7
章
GraphFrames
興味深いことに、上位 10 件の空港（アトランタ /ATLからシャーロット /CLTまで）は、到着便でも
出発便でも同じランクになっていますが、その次の10 件の空港は異なっています（たとえばシアトル /
SEA は到着便では17 位ですが、出発便では18 位になっています）。
7.7
最も経由が多い空港の計算
頂点としての空港の次数をさらに発展させて把握する例として、経由地として利用されることが多い
空港を調べてみましょう。多くの空港は、最終目的地としてだけではなく、経由地としても利用されま
す。これを簡単に計算する方法は、
inDegrees
（その空港への到着便）と
outDegrees
（その空港か
らの出発便）との比率を計算することです。この値が
1
に近ければ多くの経由があり、値が
1
よりも小
さければ出発便の方が多く、
1
よりも大きければ到着便の方が多いことになります。
これは単純な計算であり、フライトのタイミングやスケジューリングを考慮に入れておらず、データ
セット中の数値を全体的に集計しただけであることに注意してください。
# inDeg (
到着便
)
と
outDeg (
出発便
)
の計算
inDeg = tripGraph.inDegrees
outDeg = tripGraph.outDegrees
#
比率
(inDeg/outDeg)
の計算
degreeRatio = inDeg.join(outDeg, inDeg.id == outDeg.id) \
.drop(outDeg.id) ...
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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.