Python Seaborn箱线图单个箱间距

如何增加seaborn箱线图中两个specefic箱之间的空间？在tips数据集中，如何在不影响其他框的情况下修改Sat和Sun之间的间距。我已经在dataframe中包含了空列，但是通过这种解决方法，无法控制间距

%matplotlib inline
import seaborn as sns
tips = sns.load_dataset("tips")
ax = sns.boxplot(x="day", y="total_bill", data=tips)

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据我所知，seaborn不可能做到这一点，因为遗憾的是它没有提供任何修改

位置

关键字的方法。另见

最简单的解决方法是使用不同的boxplot函数，例如数据帧附带的函数：

bplot = tips.boxplot(by="day", column="total_bill", positions=[1,2,3,4.5])

当然，这远没有seaborn版本的风格好

幸运的是，matplotlib为那些愿意探索它们的人提供了无限的选择，因此可以通过相应地修改绘图的不同部分来创建类似于seaborn绘图的内容

这很接近：

# Prep
import matplotlib.pyplot as plt
import seaborn as sns
tips = sns.load_dataset("tips")

# Create boxplot
bplot = tips.boxplot(by="day", column="total_bill", positions=[1,2,3,4.5], 
                     return_type='dict', figsize=(8,6), grid=False, patch_artist=True, 
                     sym='d', fontsize=16)

# Style boxplot
colors = ['blue', 'green', 'red', 'cyan']
for patch, color in zip(bplot['total_bill']['boxes'], colors):
    patch.set_facecolor(color)
    patch.set_edgecolor('0.2')
    patch.set_linewidth(1.5)
for whisker in bplot['total_bill']['whiskers']:
    whisker.set_color('0.2')
    whisker.set_linewidth(1.5)
for fliers in bplot['total_bill']['fliers']:
    fliers.set_markerfacecolor('0.2')
for median in bplot['total_bill']['medians']:
    median.set_color('0.2')
    median.set_linewidth(1.5)
for caps in bplot['total_bill']['caps']:
    caps.set_color('0.2')
    caps.set_linewidth(1.5)

# Other adjustments
plt.title("")
plt.suptitle("")
plt.xlabel("day", fontsize=18)
plt.ylabel("total_bill", fontsize=18)

---

Seaborn不提供此功能（参见示例）。打印框后，仍可以调整matplotlib：

ax = plt.gca()  # Or get the axis another way

def _reduce_box_width(artist, factor=.5):
    vertices = artist.get_path().vertices
    artist_width = vertices[1, 0] - vertices[0, 0]
    vertices[0, 0] += artist_width * (factor/2)
    vertices[1, 0] -= artist_width * (factor/2)
    vertices[2, 0] -= artist_width * (factor/2)
    vertices[3, 0] += artist_width * (factor/2)
    vertices[4, 0] += artist_width * (factor/2)

for artist in ax.artists:
    _reduce_box_width(artist, factor=.5)

def _reduce_horizontal_line_width(artist, factor=.5):
    vertices = artist.get_path().vertices
    artist_width = vertices[1, 0] - vertices[0, 0]
    vertices[0, 0] += artist_width * (factor/2)
    vertices[1, 0] -= artist_width * (factor/2)

horizontal_lines = [l for l in ax.lines
                    if len(l.get_path().vertices) != 0 and
                       l.get_path().vertices[0, 1] = = l.get_path().vertices[1, 1]]
for line in horizontal_lines:
    _reduce_horizontal_line_width(line)

ax.redraw_in_frame()

它可能需要根据您的具体情况进行调整