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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LESSON
14
129
グラフをわかりやすく調整する
例えば、「私の位置」をマーカーで表示するとしましょう。私のデータが「3行目」だっ
たとします。
3行目のX座標は、「df.iloc[3]["身長"]」、Y座標は「df.iloc[3]["体重"]」です（リ
スト
4.25）。
df.plot.scatter(x="身長", y="体重", color="b")
x=df.iloc[3]["
身長"]
y=df.iloc[3]["
体重"]
plt.plot(x, y, color="r", marker="X", markersize=10)
plt.title("
私はどこにいるか")
plt.show()
グラフに線を引く
また、ある点がどこにあるかがもっとわかるように、縦横に線を引くこともできます。
グラフを表示させたあとに、線を引く命令を追加します。垂直線は「
plt.axvline(x=X座
標
, color="色", linestyle="線の種類")」と、水平線は「plt.axhline(y=Y座標, color="色",
linestyle="
線の種類")」と命令します（グラフの種類によってできない場合もあります）。
線の種類には、
"-"（直線）、"--"（破線）、"-."（一点鎖線）、":"（点線）などが指定で
きます。
【入力プログラム】リスト 4.25
出力結果
赤い×印が出た！
Chapter
4
130
• 必要なライブラリ：pandas、matplotlib
•
命令
# グラフに水平線と垂直線を引く
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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.