如何使用标签和图例自定义 pandas 饼图 plot

Question

尝试使用以下方法绘制饼图：

import pandas as pd
import numpy as np

data = {'City': ['KUMASI', 'ACCRA', 'ACCRA', 'ACCRA', 'KUMASI', 'ACCRA', 'ACCRA', 'ACCRA', 'ACCRA'], 'Building': ['Commercial', 'Commercial', 'Industrial', 'Commercial', 'Industrial', 'Commercial', 'Commercial', 'Commercial', 'Commercial'], 'LPL': ['NC', 'C', 'C', 'C', 'NC', 'C', 'NC', 'NC', 'NC'], 'Lgfd': ['NC', 'C', 'C', 'C', 'NC', 'C', 'NC', 'NC', 'C'], 'Location': ['NC', 'C', 'C', 'C', 'NC', 'C', 'C', 'NC', 'NC'], 'Hazard': ['NC', 'C', 'C', 'C', 'NC', 'C', 'C', 'NC', 'NC'], 'Inspection': ['NC', np.nan, np.nan, np.nan, 'NC', 'NC', 'C', 'C', 'C'], 'Name': ['Zonal', 'In Prog', 'Tullow Oil', 'XGI', 'Food Factory', 'MOH', 'EV', 'CSD', 'Electroland'], 'Air Termination System': ['Vertical Air Termination', 'Vertical Air Termination', 'Vertical Air Termination', 'Early Streamer Emission', 'Vertical Air Termination', 'Vertical Air Termination', 'Vertical Air Termination', 'Vertical Air Termination', 'Early Streamer Emission'], 'Positioned Using': ['Highest Points', 'Software', 'Software', 'Software', 'Highest Points', np.nan, np.nan, 'Rolling Sphere Method', 'Software']}
df = pd.DataFrame(data)

colors = ['#ff9999','#66b3ff','#99ff99','#ffcc99']
data = df["Air Termination System"].value_counts().plot(kind="pie",autopct='%1.1f%%', radius=1.5, shadow=True, explode=[0.05, 0.05], colors=colors)

当前图表如下所示：

如何将标题“Air Termination Systems”置于图表之外并使用 colors 在右上角创建一个图例？

Answer 1

• legend=True添加图例
• title='Air Termination System'在顶部放置一个标题
• ylabel=''从 plot 中移除'Air Termination System' System'。plot 中的 label 是radius=1.5的结果
• labeldistance=None删除其他标签，因为有图例。
• 如有必要，在data.plot(...)中指定figsize=(width, height) )

colors = ['#ff9999','#66b3ff','#99ff99','#ffcc99']
data = df["Air Termination System"].value_counts()
ax = data.plot(kind="pie", autopct='%1.1f%%', shadow=True, explode=[0.05, 0.05], colors=colors, legend=True, title='Air Termination System', ylabel='', labeldistance=None)
ax.legend(bbox_to_anchor=(1, 1.02), loc='upper left')
plt.show()