sns.histplot ：每个类别的独立百分比标签

Question

我想出了男性和女性的直方图。我希望男性的百分比标签加到 100%，女性也一样。

下面是我目前使用的代码

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


data = {
'gender': ['male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female'],
'height': [6, 4, 10, 5, 2, 6, 4, 1, 1, 10, 4, 9, 9, 2, 9, 6, 6, 8, 3, 4, 3, 3, 2, 3, 8, 9, 7, 10, 4, 8, 5, 7, 6, 1, 9, 6, 9, 5, 4, 6, 2, 6, 5, 6, 5, 1, 9, 1, 7, 4]
}

df = pd.DataFrame(data)
df.head(n = 5)


y = sns.histplot(data = df, x = "height", hue ='gender', alpha = 0.5, multiple = "dodge", stat = "percent")
y.bar_label(y.containers[0])
plt.show()

如有任何帮助，我将不胜感激。提前致谢

Answer 1

从每个容器中获取高度并将其放入列表中。然后计算元素与每个列表的总和的比率。指定每个条形标签的比率列表。

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

data = {
'gender': ['male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'male', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female', 'female'],
'height': [6, 4, 10, 5, 2, 6, 4, 1, 1, 10, 4, 9, 9, 2, 9, 6, 6, 8, 3, 4, 3, 3, 2, 3, 8, 9, 7, 10, 4, 8, 5, 7, 6, 1, 9, 6, 9, 5, 4, 6, 2, 6, 5, 6, 5, 1, 9, 1, 7, 4]
}

df = pd.DataFrame(data)
df.head(n = 5)

y = sns.histplot(data=df, x="height", hue='gender', alpha=0.5, multiple="dodge", stat="percent")

female = []
male = []
for f,m in zip(y.containers[0], y.containers[1]):
    female.append(f.get_height())
    male.append(m.get_height())

print(female)
print(male)

female_per = ['{:.2f}%'.format(x/sum(female)*100) for x in female]
male_per = ['{:.2f}%'.format(x/sum(male)*100) for x in male]
print(female_per)
print(male_per)

y.bar_label(y.containers[0], labels=female_per)
y.bar_label(y.containers[1], labels=male_per)

# y.bar_label(y.containers[0])
# y.bar_label(y.containers[1])

plt.show()

百分比：

sns.histplot ：每个类别的独立百分比标签

sns.histplot : independent percent labels for each category

matplotlib

pandas

seaborn