如何可視化分類頻率差-有解無憂

資料：此處找到的糖尿病資料集：如何可視化分類頻率差

見上圖。這是我需要幫助的地方。你真的不能對此做出正面或反面。這個年齡組存在類別不平衡——事實上 312 個樣本不是糖尿病，而只有 84 個樣本。如何調整繪圖以更好地描述這種類別不平衡？

uj5u.com熱心網友回復：

使用顯示計數的條形圖最容易看出'Outcome'每個人的差異'Age'，這可以直接使用 a 完成seaborn.countplot，或者在 Pandas 中計算計數，然后使用繪制pandas.DataFrmame.plot。
在python 3.8.12, pandas 1.3.3, matplotlib 3.4.3, 中測驗seaborn 0.11.2

資料和匯入

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

# data
df = pd.read_csv('https://raw.githubusercontent.com/LahiruTjay/Machine-Learning-With-Python/master/datasets/diabetes.csv')

# filter for less than 30
u30 = df[df.Age.lt(30)]

用

使用

資料

如果 GitHub 鏈接中的資料不再可用

Age,Outcome
21,0
26,1
29,0
27,0
29,1
22,0
28,1
22,0
28,0
27,1
26,0
25,1
29,0
22,0
24,0
22,0
26,0
21,0
22,0
21,0
24,0
25,0
27,0
28,1
26,0
23,0
22,0
22,0
27,0
26,1
24,0
22,0
22,0
22,0
27,0
26,0
24,0
21,0
21,0
24,0
22,0
23,0
22,0
21,0
24,0
27,0
21,0
27,0
25,0
24,1
24,1
23,0
25,0
25,0
22,0
21,0
25,1
24,0
23,0
23,1
26,1
23,0
26,0
21,0
22,0
29,0
28,0
22,0
23,0
21,0
22,0
24,0
23,0
21,0
23,0
22,0
27,0
21,0
22,0
29,0
29,0
29,1
25,0
23,0
26,1
23,0
21,0
27,0
25,1
21,0
29,1
21,0
23,1
26,1
29,1
21,0
28,0
27,0
27,0
21,0
25,0
24,0
24,1
25,1
21,1
26,0
22,0
26,0
24,1
24,0
22,1
22,0
29,0
23,0
26,1
23,1
27,0
21,0
22,0
22,1
29,0
23,0
23,0
27,0
24,0
25,0
21,1
25,0
24,0
27,1
24,0
25,1
24,0
21,0
28,1
21,0
21,0
25,0
29,1
23,0
22,0
28,1
29,1
26,0
21,0
25,1
24,1
28,0
29,1
24,0
25,1
28,1
29,0
21,0
25,1
22,0
27,1
25,0
26,0
29,1
28,0
25,1
21,0
24,0
23,1
25,0
22,0
26,0
22,0
22,0
22,0
23,0
26,0
29,0
24,0
21,0
28,1
29,1
29,1
29,1
21,0
22,0
25,1
21,0
21,0
25,0
28,0
22,0
22,0
24,0
22,0
21,0
25,0
25,0
24,0
28,0
27,1
21,0
25,0
22,1
25,0
25,1
26,0
25,0
28,1
28,0
25,0
22,0
21,0
21,1
22,1
22,0
27,0
28,1
26,0
21,0
21,0
21,0
25,0
26,0
23,0
22,0
29,0
29,1
28,0
21,0
22,0
24,0
25,1
28,0
26,0
22,1
26,0
23,0
23,1
25,0
24,0
24,0
26,0
21,0
22,0
25,0
27,0
28,0
22,0
22,0
24,0
29,1
29,0
28,0
23,0
24,1
21,0
28,0
24,0
22,0
25,0
21,0
28,0
21,0
21,0
21,0
22,0
24,0
28,1
25,0
26,0
26,0
24,0
21,0
21,0
24,0
22,0
22,0
24,0
29,0
24,0
23,1
23,0
27,1
25,0
29,0
28,0
21,0
25,0
23,0
28,0
28,1
24,0
27,0
22,0
21,0
21,0
22,0
22,0
23,0
25,0
21,1
21,1
27,0
22,0
29,0
25,0
24,0
25,0
22,1
21,0
26,0
24,0
28,0
21,0
22,1
25,0
27,0
23,0
24,0
26,0
27,0
23,0
24,1
28,0
28,0
21,0
21,0
29,0
21,0
21,0
21,0
24,0
23,0
22,0
23,0
28,0
27,0
24,0
27,0
22,1
23,0
23,0
27,0
28,0
27,0
22,0
25,1
22,0
27,1
22,1
24,0
21,0
22,0
25,0
25,1
23,0
22,0
26,1
22,0
27,1
25,0
22,0
29,0
23,0
23,0
25,0
22,0
28,0
26,0
26,0
27,0
28,0
22,0
23,1
24,0
21,0
24,0
21,0
25,0
22,0
22,0
22,0
22,1
24,1
22,0
28,0
21,0
21,0
26,0
22,0
27,1
22,1
28,0
25,0
26,1
26,0
22,0
27,0
23,0

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標籤：Python 熊猫 matplotlib 海生条形图

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