matplotlib和pandas中的半年颜色条

import matplotlib.pyplot as plt
import matplotlib.colors as mcolors

# 定义上半年和下半年的颜色
colors = ['#FFCCCC', '#FF9999', '#FF6666', '#FF3333', '#FF0000', '#CC0000']

# 创建半年颜色条
cmap = mcolors.ListedColormap(colors)

# 绘制示例图
plt.imshow([[i] for i in range(6)], cmap=cmap)
plt.colorbar()
plt.show()

import pandas as pd
import matplotlib.pyplot as plt

# 创建时间序列数据
data = pd.Series([1, 2, 3, 4, 5, 6], index=pd.date_range('2022-01-01', periods=6, freq='M'))

# 将时间序列数据转换为半年频率
data_half_year = data.resample('6M').sum()

# 绘制带有半年颜色条的图表
data_half_year.plot(colormap='coolwarm')

plt.show()