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
6
192
それぞれの散布図は、何となく大小2つのかたまりに分かれていることはわかります。
なぜでしょうか。このデータは「
3つの品種」が入ったデータですが、その3つの品種が混
ざったまま調べているからです。身長のデータでも、男女の
2つの要素を分けて調べると
わかりやすくなったように、このデータも品種ごとに分けて調べてみましょう。
もう一度、データを確認してみます（リスト
6.15）。
df.head()
一番右端の「species」の列が品種のデータのようです。「setosa」としか表示されていま
せんが、他にどんな名前が使われているのでしょうか。ある列データで使われているデー
タの種類を取り出すには「
df["列名"].unique()」という命令が使えます（リスト6.16）。
df["列名"].unique()
df["species"].unique()
array(['setosa', 'versicolor', 'virginica'], dtype=object)
setosa、versicolor、virginicaの3つの名前が使われていることがわかりました。
【入力プログラム】リスト 6.15
出力結果
一番右の列が
品種の列なのね。
書式：列データの中でかぶらないユニークなデータをリストアップする
【入力プログラム】リスト 6.16
出力結果
193
アヤメのデータを見てみよう
LESSON
23
これの品種をそれぞれ別々に調べてみましょう。
列データの中から「ある条件に合うデータを抽出」するには、 ...
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