Venn3:如何重新定位圆和标签? [英] Venn3: How to reposition circles and labels?
问题描述
我制作了三通维恩图.我有三个似乎无法解决的问题.
I have made a three way venn diagram. I have three issues with it that I can't seem to solve.
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移动圆形标签(即"Set1"，"Set2"，"Set3")的代码是什么，因为现在一个距离圆形太远了.
What is the code to move the circle labels (i.e."Set1","Set2","Set3") because right now one is too far away from the circle.
使圆形等于三个大小/更改圆形大小的代码是什么?
What is the code to make the circles be three equal sizes/change the circle size?
在绘图周围移动圆的代码是什么.现在，set2在set3内(但颜色不同)，我希望该图看起来更像是显示维恩图的标准"方式(即3个独立的圆，中间有一些重叠).
What is the code to move the circles around the plot. Right now, set2 is within set3 (but coloured differently), I would like the diagram to look more like the "standard" way of showing a venn diagram (i.e. 3 separate circles with some overlap in the middle).
另一方面，我发现很难找到诸如"set_x"，"set_alpha"之类的命令；如果有人知道一本可以回答以上问题的手册，我将不胜感激，我似乎找不到我所需要的所有信息.
On another note, I found it difficult to find what the commands such as "set_x", "set_alpha" should be; if anyone knew of a manual that would answer by above questions I would appreciate it, I couldn't seem to find one place with all the information I needed.
import sys
import numpy
import scipy
from matplotlib_venn import venn3,venn3_circles
from matplotlib import pyplot as plt
#Build three lists to make 3 way venn diagram with
list_line = lambda x: set([line.strip() for line in open(sys.argv[x])])
set1,set2,set3 = list_line(1),list_line(2),list_line(3)
#Make venn diagram
vd = venn3([set1,set2,set3],set_labels=("Set1","Set2","Set3"))
#Colours: get the HTML codes from the net
vd.get_patch_by_id("100").set_color("#FF8000")
vd.get_patch_by_id("001").set_color("#5858FA")
vd.get_patch_by_id("011").set_color("#01DF3A")
#Move the numbers in the circles
vd.get_label_by_id("100").set_x(-0.55)
vd.get_label_by_id("011").set_x(0.1)
#Strength of color, 2.0 is very strong.
vd.get_patch_by_id("100").set_alpha(0.8)
vd.get_patch_by_id("001").set_alpha(0.6)
vd.get_patch_by_id("011").set_alpha(0.8)
plt.title("Venn Diagram",fontsize=14)
plt.savefig("output",format="pdf")
推荐答案
移动圆形标签(即"Set1"，"Set2"，"Set3")的代码是什么，因为现在一个距离圆形太远了.
What is the code to move the circle labels (i.e."Set1","Set2","Set3") because right now one is too far away from the circle.
类似的东西:
lbl = vd.get_label_by_id("A")
x, y = lbl.get_position()
lbl.set_position((x+0.1, y-0.2)) # Or whatever
"A"，"B"和"C"是预定义的标识符，表示这三个集合.
The "A", "B", and "C" are predefined identifiers, denoting the three sets.
使圆形等于三个大小/更改圆形大小的代码是什么?
What is the code to make the circles be three equal sizes/change the circle size?
如果您不希望圆/区域的大小与数据相对应(不一定是个好主意)，则可以使用函数venn3_unweighted获得未加权(经典")维恩图:
If you do not want the circle/region sizes to correspond to your data (not necessarily a good idea), you can get an unweighted ("classical") Venn diagram using the function venn3_unweighted:
from matplotlib_venn import venn3_unweighted
venn3_unweighted(...same parameters you used in venn3...)
您可以通过向venn3_unweighted提供一个subset_areas参数来进一步作弊和调整结果-这是一个七元素向量，用于指定每个区域的所需相对大小.在这种情况下，将以区域区域为subset_areas的方式绘制图表，而数字将根据实际的subsets显示.尝试例如:
You can further cheat and tune the result by providing a subset_areas parameter to venn3_unweighted - this is a seven-element vector specifying the desired relative size of each region. In this case the diagram will be drawn as if the region areas were subset_areas, yet the numbers will be shown from the actual subsets. Try, for example:
venn3_unweighted(...., subset_areas=(10,1,1,1,1,1,1))
在绘图周围移动圆的代码是什么.
What is the code to move the circles around the plot.
移动圆"的需求有些不寻常-通常，您要么希望定位圆，以使其交点大小与您的数据相对应，要么使用默认"定位.函数venn3和venn3_unweighted可以满足这两个要求.可以随意移动圈子，但是需要一些较低级别的编码，我对此建议.
The need to "move the circles around" is somewhat unusual - normally you would either want the circles to be positioned so that their intersection sizes correspond to your data, or use the "default" positioning. The functions venn3 and venn3_unweighted cater to those two requirements. Moving circles around arbitrarily is possible, but would require some lower-level coding and I'd advice against that.
我发现很难找到诸如"set_x"，"set_alpha"之类的命令
I found it difficult to find what the commands such as "set_x", "set_alpha" should be
调用v.get_label_by_id时获得的对象是Matplotlib Text对象.您可以在此处中了解其方法和属性. v.get_patch_by_id返回的对象是PathPatch，请在此处查看并此处以供参考.
The object you get when you call v.get_label_by_id is a Matplotlib Text object. You can read about its methods and properties here. The object returned by v.get_patch_by_id is a PathPatch, look here and here for reference.
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