如何在pandas中格式化分位数条形图的x刻度标签

import pandas as pd
import matplotlib.pyplot as plt

quantiles = pd.qcut(data, q=4)
counts = quantiles.value_counts()

ax = counts.plot.bar()
ax.set_xticklabels([str(c) for c in counts.index])

import pandas as pd
import matplotlib.pyplot as plt

# 创建一个Series或DataFrame对象，包含需要绘制分位数条形图的数据
data = pd.Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])

# 使用qcut函数将数据分成4个分位数，并计算每个分位数的频数
quantiles = pd.qcut(data, q=4)
counts = quantiles.value_counts()

# 创建条形图，并设置x轴刻度标签为分位数的名称
ax = counts.plot.bar()
ax.set_xticklabels([str(c) for c in counts.index])

# 显示图形
plt.show()