Python seaborn分类条形图，带有自定义格式的x轴刻度标签

您需要将整数x轴索引转换回嵌套框中相应的price值。
例如，像这样：

import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
import numpy as np
import pandas as pd
import seaborn as sns

book = pd.DataFrame(
    {"price": np.arange(9.95, 10.05, 0.01), "type": "?", "qty": 0}
)
book.iloc[1, 2] = 1800
book.iloc[2, 2] = 500
book.iloc[3, 2] = 500
book.iloc[4, 2] = 100
book.iloc[0:6, 1] = "Ask"

book.iloc[6, 2] = 100
book.iloc[7, 2] = 200
book.iloc[8, 2] = 600
book.iloc[9, 2] = 2500
book.iloc[6:11, 1] = "Bid"

fig, ax = plt.subplots(figsize=(6, 4), dpi=150)
sns.barplot(
    x="price",
    y="qty",
    data=book,
    hue="type",
    ax=ax,
    order=book["price"][::-1],
    dodge=False,
)

ax.set_xticks(range(len(book["price"])))
ax.set_xticklabels(book["price"].round(2), rotation=45)

ax.xaxis.set_major_formatter(
    ticker.FuncFormatter(lambda x, pos: f'${book["price"].iloc[x]:.2f}')
)

plt.tight_layout()
plt.show()

• 注 *：我不能100%确定您提供的示例代码中是否存在错误，但是，奇怪的是，有必要更改价格范围（定义为np.arange），然后颠倒绘制数据的顺序，以获得与所提供的预期输出相匹配的图，并显示在问题中。