June 2024
Intermediate to advanced
200 pages
4h 46m
Japanese
Content preview from Python2年生 データ分析のしくみ 第2版 体験してわかる！会話でまなべる！
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Chapter
5
154
scipy.statsライブラリに入っている正規分布用の関数を使うと、難しい計算が必要な数
値も、簡単に求めることができます。
例えば、「
norm.cdf（正規分布の累積分布関数)」を使うと、「ある値が、全体の下から何％
のことなのか」を求めることができます。用意するのは「調べたい値」「 平均値」「 標準偏
差」の
3つだけです。
「
norm.cdf(x=調べたい値, loc=平均値, scale=標準偏差)」と命令すると、ある値が全体
の下から何％のことなのかを
0〜1の実数値で返してくれます。
• 必要なライブラリ：scipy.stats
•
命令
cdf = norm.cdf(x=調べたい値, loc=平均値, scale=標準偏差)
• 出力：ある値は、下からの何％に該当するか？
17
LESSON
「累積分布関数」を使うと、ある値が珍しいことなのかを調べることがで
きるので、試してみましょう。
この値は普通な こ と？
珍し い こ と？
便利そうなのはわかったけど、「標準偏差」と か「 標準偏差の
2
倍」と か
じゃなく、もっとわかりやすい値を調べたいときはどうするの？
やった〜！ ライブラリはありがたいね。
難しい計算をすればできるよ。でも、そういうときこそライブラリを使
おう。統計ライブラリの
scipy.stats
の正規分布に関する
norm
を使
えば、すぐ値を求めることができるんだ。
データ分析の命令：ある値は、下からの何％に該当するか？
155
この値は普通なこと？ 珍しいこと？
LESSON ...
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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.