Question

我正在搜索如何使用多个小提琴图来绘制一个图，该图来自两种模式（时间和治疗）的数据集的响应度量。我成功绘制了该小提琴图，但无法成功为每种治疗反应涂上特定的颜色。我搜索一个简单的东西：我不想给边缘上色，等等

# -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy

Lcolor = ['red','green','blue'] # targeted colors per treatment

## create a dataset with 2 columns of two modalities (remark: not the purpose of the question)
a = numpy.random.randn(60,1) # create the random variable "measure"
# create the modalities
Ltime = [1,3]
Ltreatment = [0.2,0.6,0.8]
modalities = [[0.2,1], [0.2,3], [0.6, 1], [0.6, 3], [0.8, 1], [0.8,3]]
tempList = []
for i in modalities:
    tempList.extend([i]*10)
NpModLis = numpy.array(tempList)
# create a list of violinplot positions
position = [1.2,1.6, 1.8, 3.2, 3.6, 3.8]

# merging into a 2d-array of modalities and the random variable
DATA = numpy.c_[NpModLis,a]

## Dataset is made of first column: treatment, second column: time of mesure, third column: response measure

# Now I want to plot with violin plot for each time, the three violinplots due to treatment, each violinplot with a color specific to treatment

Lcolors = ['red','green','blue'] # respectively fro treatment 0.2, 0.6, 0.8

fig, ax = plt.subplots(figsize=(9, 4))

data=[]
for i in range(len(Ltime)):
    j=Ltime[i]
    for k in Ltreatment:
        data.append(DATA[numpy.logical_and(DATA[:,0]==k,DATA[:,1]==j)][:,2])

ax.violinplot(data, position)  # which isd violinplot(measure of one treatment at one time, position)
plt.show()

感谢您的帮助和评论来理解^^

Answer 1

violinplot()返回包含创建的艺术家的词典，因此您可以修改其属性。这似乎可以为您提供理想的输出

out = ax.violinplot(data, position)  # which isd violinplot(measure of one treatment at one time, position)
for b,c in zip(out['bodies'],itertools.islice(itertools.cycle(Lcolors), 0, len(out['bodies']))):
    b.set_facecolor(c)

但是，我建议您改用seaborn's violingplot。您必须重构数据的格式，但这会简化绘图部分。

Matplotlib：根据模式为小提琴上色

1 个答案: