如何在一系列箱形图的箱形图旁边显示数值均值和标准差值? [英] How to display numeric mean and std values next to a box plot in a series of box plots?

问题描述

我正在尝试在多个箱形图的绘图中，在箱形图旁边显示平均值和标准偏差的值.我尝试时什么也没显示.

  #Boxplot 3data3 = np.array([[4.38，3.27，6.07]，[4.35，3.51，6.14]，[4.09，3.33，5.92]，[4.9，3.97，5.02]，[4.56，3.5，4.5]，[4.78，3.95，4.58]])无花果3 = plt.figure(3)ax3 = fig3.add_subplot(111)ax3.boxplot(data3，showmeans = True)ax3.set_title('Serve-数据位置和方差1'，fontsize = 15，fontweight ='bold'，y = 1.06)ax3.set_ylabel('速度[m/s]'，字体大小= 11.5)ax3.set_xlabel('Parameter'，fontsize = 11.5)ax3.set_xticklabels(['V_in'，'V_out'，'V_bat']，style ='italic')ax3.get_xaxis().tick_bottom()ax3.get_yaxis().tick_left()m1 = data3.mean(axis = 0)#平均值mL1 = [str(np.round(s，2))对于m中的s]st1 = data3.std(axis = 0)#标准偏差值sT1 = [str(np.round(s，2))对于st1中的s]ind = 0对于我在范围内(len(ax3.get_xticklabels())):ax3.text(i，m1 [ind] +1，mL1 [ind]，horizo​​ntalalignment ='center'，color ='w'，weight ='semibold')ind + = 1 

由于其他代码正常工作，因此需要更正最后四行(参见图片)

解决方案

boxplot 方法返回一个字典，其中包含箱形图的各个部分(晶须，大写字母，大写字母，盒子，中位数，传单，均值).您可以使用它们在图中的不同位置添加注释.下面，我在中线右侧添加了平均值和标准偏差值:

有关详细信息，请阅读此内容

I'm trying to display the value of mean and standard deviation next to my box plots in a plot of multiple box plots. Nothing is displayed when I try.

#Boxplot 3

data3 =np.array([[ 4.38,  3.27,  6.07],
   [ 4.35,  3.51,  6.14],
   [ 4.09,  3.33,  5.92],
   [ 4.9 ,  3.97,  5.02],
   [ 4.56,  3.5 ,  4.5 ],
   [ 4.78,  3.95,  4.58]])

fig3 = plt.figure(3)

ax3 = fig3.add_subplot(111)
ax3.boxplot(data3, showmeans=True)

ax3.set_title('Serve - Data Location and Variance 1',fontsize=15,fontweight='bold', y=1.06)
ax3.set_ylabel('Velocity [m/s]',fontsize=11.5)
ax3.set_xlabel('Parameter',fontsize=11.5)
ax3.set_xticklabels(['V_in', 'V_out', 'V_bat'],style='italic')
ax3.get_xaxis().tick_bottom()
ax3.get_yaxis().tick_left()


m1=data3.mean(axis=0) #Mean values 
mL1 = [str(np.round(s, 2)) for s in m1]

st1=data3.std(axis=0) #Standard deviation values 
sT1=[str(np.round(s, 2)) for s in st1]

ind=0
for i in range (len(ax3.get_xticklabels())):
ax3.text(i, m1[ind]+1, mL1[ind], horizontalalignment='center',  color='w', weight='semibold')
ind+=1

The last four lines need to be corrected as the other code is working fine (see picture)

解决方案

The boxplot method returns a dictionary that includes parts of the boxplot (whiskers, caps, boxes, medians, fliers, means). You can use these to add annotation at various location within the plot. Below I added mean and standard deviation values to the right of the median line:

Read this for more details Overlaying the numeric value of median/variance in boxplots

m1 = data3.mean(axis=0)
st1 = data3.std(axis=0)

fig, ax = plt.subplots()
bp = ax.boxplot(data3, showmeans=True)

for i, line in enumerate(bp['medians']):
    x, y = line.get_xydata()[1]
    text = ' μ={:.2f}\n σ={:.2f}'.format(m1[i], st1[i])
    ax.annotate(text, xy=(x, y))

which plots

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