带有圆角的 Seaborn 条形图

Question

我正在尝试绘制一些条形图，但想控制角的圆度。我尝试按照堆栈问题Bar chart with rounded corners in Matplotlib 中提供的答案进行操作，但似乎无法得到相同的结果。如何让条形边缘具有圆角并控制圆度？还有更好的 FancyBboxPatch 替代品吗？

以下是我的可测试代码以及​​当前和所需的输出。

我的代码：

import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib.patches import FancyBboxPatch

mydict = {
    'Event': ['Running', 'Swimming', 'Biking', 'Hiking'],
    'Completed': [2, 4, 3, 7],
    'Participants': [10, 20, 35, 10]}

df = pd.DataFrame(mydict).set_index('Event')
df = df.assign(Completion=(df.Completed / df.Participants) * 100)
print(df)

plt.subplots(figsize=(5, 2))

sns.set_color_codes("pastel")
ax = sns.barplot(x=df.Completion, y=df.index, orient='h', joinstyle='bevel')

new_patches = []
for patch in reversed(ax.patches):
    bb = patch.get_bbox()
    color = patch.get_facecolor()
    p_bbox = FancyBboxPatch((bb.xmin, bb.ymin),
                            abs(bb.width), abs(bb.height),
                            boxstyle="round,pad=-0.0040,rounding_size=0.015",
                            ec="none", fc=color,
                            mutation_aspect=4
                            )
    patch.remove()
    new_patches.append(p_bbox)

for patch in new_patches:
    ax.add_patch(patch)

sns.despine(left=True, bottom=True)
ax.tick_params(axis=u'both', which=u'both', length=0)
plt.tight_layout()
plt.show()

示例数据框：

          Completed  Participants  Completion
Event                                        
Running           2            10   20.000000
Swimming          4            20   20.000000
Biking            3            35    8.571429
Hiking            7            10   70.000000

电流输出：

所需的输出：

Answer 1

稍微玩一下参数mutation_aspect 和rounding_size，请记住，您的数据的维度是不同的。查看BoxStyle 和FancyBboxPatch 了解更多信息。

mutation_aspect==0.2 和 rounding_size=2 的示例

plt.subplots(figsize=(5, 2))
sns.set_color_codes("pastel")
ax = sns.barplot(x=df.Completion, y=df.index, joinstyle='bevel')

new_patches = []
for patch in reversed(ax.patches):
    # print(bb.xmin, bb.ymin,abs(bb.width), abs(bb.height))
    bb = patch.get_bbox()
    color = patch.get_facecolor()
    p_bbox = FancyBboxPatch((bb.xmin, bb.ymin),
                            abs(bb.width), abs(bb.height),
                            boxstyle="round,pad=-0.0040,rounding_size=2",
                            ec="none", fc=color,
                            mutation_aspect=0.2
                            )
    patch.remove()
    new_patches.append(p_bbox)

for patch in new_patches:
    ax.add_patch(patch)

sns.despine(left=True, bottom=True)

ax.tick_params(axis=u'both', which=u'both', length=0)
plt.tight_layout()
# plt.savefig("data.png", bbox_inches="tight")
plt.show()