如何在seaborn boxplot中对情节进行排名？

Question

以下面的 seaborn boxplot 为例，来自https://stanford.edu/~mwaskom/software/seaborn/examples/horizo​​ntal_boxplot.html

import numpy as np
import seaborn as sns
sns.set(style="ticks", palette="muted", color_codes=True)

# Load the example planets dataset
planets = sns.load_dataset("planets")

# Plot the orbital period with horizontal boxes
ax = sns.boxplot(x="distance", y="method", data=planets,
                 whis=np.inf, color="c")

# Add in points to show each observation
sns.stripplot(x="distance", y="method", data=planets,
              jitter=True, size=3, color=".3", linewidth=0)


# Make the quantitative axis logarithmic
ax.set_xscale("log")
sns.despine(trim=True)

是否可以从最大到最低（反之亦然）对条目进行“排名”？在此图中，如果从最高到最低排名，“astrometry”应该是最后一个条目。

Answer 1

尝试这个：

import numpy as np
import seaborn as sns
sns.set(style="ticks", palette="muted", color_codes=True)

# Load the example planets dataset
planets = sns.load_dataset("planets")

ranks = planets.groupby("method")["distance"].mean().fillna(0).sort_values()[::-1].index

# Plot the orbital period with horizontal boxes
ax = sns.boxplot(x="distance", y="method", data=planets,
                 whis=np.inf, color="c",  order = ranks)

# Add in points to show each observation
sns.stripplot(x="distance", y="method", data=planets,
              jitter=True, size=3, color=".3", linewidth=0, order = ranks)

# Make the quantitative axis logarithmic
ax.set_xscale("log")
sns.despine(trim=True)

Answer 2

您可以使用和函数中的order参数来订购您的“盒子”。这是一个如何执行此操作的示例（因为“从最高到最低”的含义尚不完全清楚，即您想根据哪个变量对条目进行排序，我假设您想根据总和对它们进行排序的“距离”值，如果您想根据不同的值对它们进行排序，您应该能够编辑解决方案以满足您的需求）：sns.boxplotsns.stripplot

import numpy as np
import seaborn as sns
sns.set(style="ticks", palette="muted", color_codes=True)

# Load the example planets dataset
planets = sns.load_dataset("planets")

# Determine the order of boxes
order = planets.groupby(by=["method"])["distance"].sum().iloc[::-1].index

# Plot the orbital period with horizontal boxes
ax = sns.boxplot(x="distance", y="method", data=planets,
                 order=order, whis=np.inf, color="c")

# Add in points to show each observation
sns.stripplot(x="distance", y="method", data=planets, order=order,
              jitter=True, size=3, color=".3", linewidth=0)


# Make the quantitative axis logarithmic
ax.set_xscale("log")
sns.despine(trim=True)

这个修改后的代码（注意和函数中order参数的使用）将产生下图：sns.boxplotsns.stripplot