我正在尝试绘制一些条形,但想控制拐角的圆度。我尝试遵循堆栈问题Bar chart with rounded corners in Matplotlib中提供的答案,但似乎无法获得相同的结果。如何获得可以控制圆度的圆角边缘?还有更好的替代FancyBboxPatch吗?
下面是我的可测试代码以及当前和所需的输出。
我的代码:
[list[0], list[2], list[4]]
示例数据框:
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()
当前输出:
所需的输出:
答案 0 :(得分:5)
只需稍微使用参数mutation_aspect
和rounding_size
,请记住数据的维度是不同的。检查BoxStyle
和FancyBboxPatch
以获得更多信息。
带有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()