1 回答

TA贡献1821条经验 获得超5个赞
您可以通过参数设置顺序order=。如果您还想分配单独的颜色,请使用palette=:
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
import numpy as np
ratings = ['AA', 'A', 'B', 'C', 'D', 'E', 'HR']
colors = ['crimson', 'limegreen', 'dodgerblue', 'gold', 'blueviolet', 'darkturquoise', 'fuchsia']
samples = np.repeat(ratings, np.random.randint(10, 100, len(ratings)))
np.random.shuffle(samples)
clean_loan_data = pd.DataFrame({'ProsperRating': samples})
plt.figure(figsize=[10, 8])
sns.countplot(data=clean_loan_data, x='ProsperRating', palette=colors, order=ratings)
plt.xlabel('Prosper Rating')
plt.ylabel('Count')
plt.title('Prosper Rating Counts')
plt.show()
添加回答
举报