如何在箱线图后面添加灰色区域而不影响箱线图颜色[重复]

Question

我正在做一个箱线图，我想在箱线图后面添加一个灰色区域。然而，当我这样做时，箱线图变得灰色而不是黑色（见下图）。 我可以做什么来保留箱线图后面的灰色区域而不影响它们的颜色（即本例中的黑色）？

sns.set(style="whitegrid",
        font_scale = 1.5)
fig, ax1 = plt.subplots(figsize=(6, 8))

min_value = 7*0.27
max_value = 7*1.77

# Fill the area between the minimum and maximum lines with grey on ax1
ax1.fill_betweenx([min_value, max_value], -0.5, 9.5, color='lightgrey', alpha=0.5)

# Create a second axis (ax2) for the boxplots on top of ax1
ax2 = sns.boxplot(data=Data,
            x="Diet type", 
            y="GW", 
            #hue="Diet",
            #whis = 0,
            width = 0.3,
            color = "black",
            showmeans = True,
            meanprops={"marker":"o",
                       "markerfacecolor":"red", 
                       "markeredgecolor":"black",
                      "markersize":"6"},
            ax = ax1,
            zorder = 1
            )

# Fill the area between the minimum and maximum lines with grey
ax2.set_xticklabels(ax2.get_xticklabels(), rotation=90)
ax2.set_ylabel("Global Warming (kg CO2e/p/week)")
ax2.set_xlabel("")
ax2.set_ylim(0, 7*5.2)

plt.axhline(y=7*1.77, color='black', linestyle='-')
plt.axhline(y=7*0.81, color='black', linestyle='--')
plt.axhline(y=7*0.27, color='black', linestyle='-')

我尝试将它们分成两个轴，并将箱线图的顺序定义为灰色区域的顶部，但我无法使其工作。

谢谢！

Answer 1

解决方案

调用

zorder=0

时设置

ax1.fill_betweenx(...)

，并将

zorder=1

保留在

ax2

中。显式定义两个轴的 zorder 可以解决问题！

代码

sns.set(style="whitegrid",
        font_scale = 1.5)
fig, ax1 = plt.subplots(figsize=(6, 8))

min_value = 7*0.27
max_value = 7*1.77

# Fill the area between the minimum and maximum lines with grey on ax1
ax1.fill_betweenx([min_value, max_value], -0.5, 9.5, color='lightgrey', alpha=0.5, zorder=0)

# Create a second axis (ax2) for the boxplots on top of ax1
ax2 = sns.boxplot(data=Data,
            x="Diet type", 
            y="GW", 
            #hue="Diet",
            #whis = 0,
            width = 0.3,
            color = "black",
            showmeans = True,
            meanprops={"marker":"o",
                       "markerfacecolor":"red", 
                       "markeredgecolor":"black",
                      "markersize":"6"},
            ax = ax1,
            zorder = 1
            )

# Fill the area between the minimum and maximum lines with grey
ax2.set_xticklabels(ax2.get_xticklabels(), rotation=90)
ax2.set_ylabel("Global Warming (kg CO2e/p/week)")
ax2.set_xlabel("")
ax2.set_ylim(0, 7*5.2)

plt.axhline(y=7*1.77, color='black', linestyle='-')
plt.axhline(y=7*0.81, color='black', linestyle='--')
plt.axhline(y=7*0.27, color='black', linestyle='-')