问题描述
我有这个维恩图:
from matplotlib_venn import venn2,venn2_circles
venn2(subsets = (30,10,5),set_labels = ('Group A','Group B'),set_colors=('r','g'),alpha = 0.5);
venn2_circles(subsets = (30,5));
是否可以将线型更改为仅由 A 组和 B 组重叠的圆段(即棕色区域周围的线)组成的虚线?
解决方法
选项 1
通过在维恩图中的每个补丁(edgecolor
、A
和 B
)上设置 C
,我们可以看到路径在重叠的周围重叠部分。
import matplotlib.pyplot as plt
from matplotlib_venn import venn2,venn2_circles
for char in "ABC":
v = venn2(
subsets=(30,10,5),set_labels=("Group A","Group B"),set_colors=("r","g"),alpha=0.5,)
overlap = v.get_patch_by_id(char)
overlap.set_edgecolor("black")
overlap.set_alpha(1)
overlap.set_ls("dashed")
overlap.set_lw(1.5)
plt.show()
但是,通过使用对比色,我们可以勾勒出重叠的轮廓。这种方法的缺点是我们失去了重叠的 alpha
。
# plot venn
v = venn2(
subsets=(30,)
# add circles
c = venn2_circles(subsets=(30,linewidth=2,color="black")
overlap = v.get_patch_by_id("C") # get the overlap
overlap.set_edgecolor("white") # set the edgecolor
overlap.set_alpha(1) # set the alpha to 1 otherwise
# we can't see the line
overlap.set_linestyle("dashed") # set a dashed line
overlap.set_linewidth(2) # set same linewidth as the circles
overlap.set_zorder(2) # bump overlap up a level so we can
# see the line
选项 2
此方法在此问题之外完全未经测试,据我所知,它应该适用于大多数 2 圈维恩图。
这个有点复杂,但它允许我们在重叠处无缝添加虚线而不影响 alpha
。
它要求我们从 matplotlib_venn
,circle_circle_intersection
中的私有模块导入一个函数,我们将使用它来创建 matplotlib.patches.Arc
。
这些弧线将替换由 matplotlib_venn
绘制的圆。
import math
import matplotlib.pyplot as plt
from matplotlib.patches import Arc
from matplotlib_venn._math import circle_circle_intersection
# Create `v` and `c` as in the previous example
# Get the current ax
ax = plt.gca()
# Get the intersections of the circles
(P2x,P2y),(P3x,P3y) = circle_circle_intersection(
c[0].center,c[0].radius,c[1].center,c[1].radius
)
# Iterate through the circles matplotlib_venn added
for _c in c:
# remove the circle
_c.set_visible(False)
# get the center or the circle and the angle at the center (theta)
P1x,P1y = _c.center
theta = math.degrees(
math.atan2(P3y - P1y,P3x - P1x) - math.atan2(P2y - P1y,P2x - P1x)
)
# Add the Arcs
ax.add_patch(
Arc(
xy=_c.center,width=_c.radius * 2,height=_c.radius * 2,color="black",angle=theta / 2 if theta < 180 else theta / -2,theta2=360 - theta if theta < 180 else theta,)
)
ax.add_patch(
Arc(
xy=_c.center,linestyle="dashed",angle=theta / 2 if theta > 180 else theta / -2,theta2=360 - theta if theta > 180 else theta,)
)
plt.show()
产生: