如何将Seaborn箱线图下方表格的内容垂直居中对齐

我使用以下代码创建了Seaborn箱线图，并在图下方添加了汇总统计表：

#Packages
import pandas as pd
from pandas.plotting import table
import matplotlib.pyplot as plt
import seaborn as sns

#Directories
export_directory = "C:/Users/xyz/Downloads/"

#Sample Data
df = pd.DataFrame({'entity': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
                   'score': [33, 34, 35, 35, 36, 49, 44, 46, 45, 48, 62, 60, 62, 63, 61],
                   'category': ['sm', 'sm', 'sm', 'sm', 'sm', 'md', 'md', 'md', 'md', 'md', 'lg', 'lg', 'lg', 'lg', 'lg']})

#Create seaborn boxplot
fig1, ax1 = plt.subplots()
sns.boxplot(y=df['score'], x=df['category'])

#Create pivot table for count & median values, then transpose the table so it aligns with x axis later
pivotdf = df.pivot_table(index='category', values='score', aggfunc={'count','median'}).T
#Flip column order to align with x axis in plot
pivotdf = pivotdf[pivotdf.columns[::-1]]

#Create a matplotlib table from the pivotdf
pivottable = table(ax1, pivotdf, cellLoc='center', loc='bottom')

#Add the matplotlib table beneath the boxplot
ax1.add_table(pivottable)

#Remove x axis label & ticks since they overlap with the pivot table
ax1.set(xlabel=None)
ax1.set_xticks([])

#Save the figure
fig1.savefig(export_directory+'boxplotfig.png', bbox_inches='tight')

运行后我发现表格内容已水平居中，但垂直对齐方式为顶部，内容紧贴单元格上方显得拥挤。我尝试使用以下代码：

ax1.table1.set_text_props(va='center')

但未解决问题，请问如何将表格内容垂直居中对齐？

解决方法 #

问题出在你引用了不存在的ax1.table1对象，正确的操作对象是你创建的pivottable。只需修改代码，对pivottable设置文本垂直居中属性即可，还可以调整单元格行高优化显示效果：

修改后的关键代码 #

在创建pivottable之后，添加以下代码：

# 设置表格文本垂直居中
pivottable.set_text_props(va='center')

# 调整表格行高，让垂直居中效果更自然（可选）
for cell in pivottable.get_celld().values():
    cell.set_height(0.08)  # 可根据需求调整高度数值

完整修改后的代码 #

#Packages
import pandas as pd
from pandas.plotting import table
import matplotlib.pyplot as plt
import seaborn as sns

#Directories
export_directory = "C:/Users/xyz/Downloads/"

#Sample Data
df = pd.DataFrame({'entity': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15],
                   'score': [33, 34, 35, 35, 36, 49, 44, 46, 45, 48, 62, 60, 62, 63, 61],
                   'category': ['sm', 'sm', 'sm', 'sm', 'sm', 'md', 'md', 'md', 'md', 'md', 'lg', 'lg', 'lg', 'lg', 'lg']})

#Create seaborn boxplot
fig1, ax1 = plt.subplots()
sns.boxplot(y=df['score'], x=df['category'])

#Create pivot table for count & median values, then transpose the table so it aligns with x axis later
pivotdf = df.pivot_table(index='category', values='score', aggfunc={'count','median'}).T
#Flip column order to align with x axis in plot
pivotdf = pivotdf[pivotdf.columns[::-1]]

#Create a matplotlib table from the pivotdf
pivottable = table(ax1, pivotdf, cellLoc='center', loc='bottom')

# 设置表格文本垂直居中
pivottable.set_text_props(va='center')
# 调整表格行高
for cell in pivottable.get_celld().values():
    cell.set_height(0.08)

#Add the matplotlib table beneath the boxplot
ax1.add_table(pivottable)

#Remove x axis label & ticks since they overlap with the pivot table
ax1.set(xlabel=None)
ax1.set_xticks([])

#Save the figure
fig1.savefig(export_directory+'boxplotfig.png', bbox_inches='tight')

这样修改后，表格内的文本就会垂直居中显示，调整行高还能避免内容拥挤的问题。

内容的提问来源于stack exchange，提问作者dean