时间序列子图绘制求助：折线图与直方图样式调整问题

样本数据 #

使用的pd.DataFrame格式数据如下：

Price_REG1  Price_REG2  Price_REG3  Price_REG4
date                                                               
2020-01-01 00:00:00       30.83       30.83       30.83       30.83
2020-01-01 01:00:00       28.78       28.78       28.78       28.78
2020-01-01 02:00:00       28.45       28.45       28.45       28.45
2020-01-01 03:00:00       27.90       27.90       27.90       27.90
2020-01-01 04:00:00       27.52       27.52       27.52       27.52

1. 折线图：图例仅显示在最后一个子图 #

用户代码：

df.plot(subplots=True, color= ['grey', 'grey', 'grey', 'grey'], 
                   figsize=(6, 6),lw=0.8, xlabel='', legend=False)
plt.legend(["AA", "BBB", "AAA", "BBB"]);

解决方法 #

plt.legend()默认仅给最后一个子图添加图例，需遍历所有子图单独设置：

axes = df.plot(subplots=True, color=['grey']*4, figsize=(6,6), lw=0.8, xlabel='', legend=False)
labels = ["AA", "BBB", "AAA", "BBB"]
for ax, label in zip(axes, labels):
    ax.legend([label])

2. 直方图1：修改标题+添加图例 #

用户代码：

fig, ax = plt.subplots(2, 2, sharex='col', sharey='row')

m=0
for i in range(2):
    for j in range(2):

        df.hist(column = df.columns[m], grid=False, color='grey',
                           bins = 150, ax=ax[i,j], figsize=(20, 20))
        m+=1

需求与实现代码 #

• 替换默认标题为自定义标题（如"Price Region 1"）
• 添加对应图例

fig, axs = plt.subplots(2, 2, sharex='col', sharey='row', figsize=(20,20))
custom_titles = ["Price Region 1", "Price Region 2", "Price Region 3", "Price Region 4"]
custom_labels = ["AA", "BBB", "AAA", "BBB"]

m = 0
for i in range(2):
    for j in range(2):
        # 获取直方图的patch对象用于创建图例
        patches = df.hist(column=df.columns[m], grid=False, color='grey', bins=150, ax=axs[i,j])[0]
        # 设置自定义标题
        axs[i,j].set_title(custom_titles[m])
        # 添加图例
        axs[i,j].legend([patches], [custom_labels[m]])
        m += 1
plt.tight_layout()

3. 直方图2：移除Y轴标签+替换图例为自定义标题 #

用户代码：

fig, ax = df.plot(kind='hist', bins=150, subplots=True,sharex='col',sharey='row',
             title=False,layout=(2, 2), legend=True)

需求与实现代码 #

• 移除Y轴标签
• 去掉图例，添加自定义标题

custom_titles = ["Price Region 1", "Price Region 2", "Price Region 3", "Price Region 4"]
axes = df.plot(kind='hist', bins=150, subplots=True, sharex='col', sharey='row',
               title=False, layout=(2,2), legend=False, figsize=(10,8))

# 遍历子图设置标题并清空Y轴标签
for ax, title in zip(axes.flatten(), custom_titles):
    ax.set_title(title)
    ax.set_ylabel('')
plt.tight_layout()

内容的提问来源于stack exchange，提问作者user20050294