pandas cut
pandasのcutの使い方
pandasのcutの使い方
概要
- 連続値を整数値(カテゴリ変数)に変換する処理
- binsで区分を設定できる
- 引数を与えないと区間の表現を得る
具体例
label情報なし
import pandas as pd
import numpy as np
x = np.arange(0, 10)
display(x)
for a in pd.cut(x, bins=3):
print(a)
"""
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
(-0.009, 3.0]
(-0.009, 3.0]
(-0.009, 3.0]
(-0.009, 3.0]
(3.0, 6.0]
(3.0, 6.0]
(3.0, 6.0]
(6.0, 9.0]
(6.0, 9.0]
(6.0, 9.0]
"""
label情報を与える
x = np.arange(0, 10)
display(x)
for a in pd.cut(x, bins=3, labels=["low", "mid", "high"]):
print(a)
"""
array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
low
low
low
low
mid
mid
mid
high
high
high
"""