带图例的 Matplotlib 维恩图
Matplotlib Venn diagram with legend
我正在使用 matplotlib-venn 包在 python 中绘制维恩图。这个包非常适合用两套或三套绘制维恩图。然而,当其中一组比其他组大得多时,较小圆圈中的计数可能会接近或重叠。这是一个例子。
from collections import Counter
import matplotlib.pyplot as plt
from matplotlib_venn import venn2, venn3
sets = Counter()
sets['01'] = 3000
sets['11'] = 3
sets['10'] = 5
setLabels = ['set1', 'set2']
plt.figure()
ax = plt.gca()
v = venn2(subsets = sets, set_labels = setLabels, ax = ax)
plt.title('Venn Diagram')
plt.show()
我要做的是将计数(在本例中为 3000、3 和 5)移动到图例中,其颜色与图中的颜色相匹配。不确定如何使用 matplotlib_venn.
执行此操作
您可以用空字符串替换维恩图的标签,而是从维恩图块和相应计数创建图例,如下所示:
from collections import Counter
import matplotlib.pyplot as plt
from matplotlib_venn import venn2, venn3
sets = Counter()
sets['01'] = 3000
sets['11'] = 3
sets['10'] = 5
setLabels = ['set1', 'set2']
plt.figure()
ax = plt.gca()
v = venn2(subsets = sets, set_labels = setLabels, ax = ax)
h, l = [],[]
for i in sets:
# remove label by setting them to empty string:
v.get_label_by_id(i).set_text("")
# append patch to handles list
h.append(v.get_patch_by_id(i))
# append count to labels list
l.append(sets[i])
#create legend from handles and labels
ax.legend(handles=h, labels=l, title="counts")
plt.title('Venn Diagram')
plt.show()
我正在使用 matplotlib-venn 包在 python 中绘制维恩图。这个包非常适合用两套或三套绘制维恩图。然而,当其中一组比其他组大得多时,较小圆圈中的计数可能会接近或重叠。这是一个例子。
from collections import Counter
import matplotlib.pyplot as plt
from matplotlib_venn import venn2, venn3
sets = Counter()
sets['01'] = 3000
sets['11'] = 3
sets['10'] = 5
setLabels = ['set1', 'set2']
plt.figure()
ax = plt.gca()
v = venn2(subsets = sets, set_labels = setLabels, ax = ax)
plt.title('Venn Diagram')
plt.show()
我要做的是将计数(在本例中为 3000、3 和 5)移动到图例中,其颜色与图中的颜色相匹配。不确定如何使用 matplotlib_venn.
执行此操作您可以用空字符串替换维恩图的标签,而是从维恩图块和相应计数创建图例,如下所示:
from collections import Counter
import matplotlib.pyplot as plt
from matplotlib_venn import venn2, venn3
sets = Counter()
sets['01'] = 3000
sets['11'] = 3
sets['10'] = 5
setLabels = ['set1', 'set2']
plt.figure()
ax = plt.gca()
v = venn2(subsets = sets, set_labels = setLabels, ax = ax)
h, l = [],[]
for i in sets:
# remove label by setting them to empty string:
v.get_label_by_id(i).set_text("")
# append patch to handles list
h.append(v.get_patch_by_id(i))
# append count to labels list
l.append(sets[i])
#create legend from handles and labels
ax.legend(handles=h, labels=l, title="counts")
plt.title('Venn Diagram')
plt.show()