用中间值标记箱线图 [英] Labeling boxplot with median values

问题描述

除了

我正在研究《泰坦尼克号》数据集，该数据集可在此链接。

我获得了必需的值，但仅当我执行打印时声明，如何将其包括在情节中？

解决方案

在所有xticklabel周期中，根据色相参数和每个类别的条形宽度手动放置标签：

 进口seaborn as sns 
进口熊猫as pd 
进口numpy as np 
进口matplotlib.pylab为plt 
 
 trainData = pd.read_csv（'titanic.csv'）
 testPlot = sns.boxplot（x ='pclass'，y ='age'，hue ='sex'，数据= trainData）
 m1 = trainData.groupby（['pclass'，'sex']）['age']。median（）。values 
 mL1 = [str（np.round（s，2 ））对于m中的s] 
 
 ind = 0 
对于范围内的刻度（len（testPlot.get_xticklabels（）））：
 testPlot.text（tick-.2， m1 [ind + 1] + 1，mL1 [ind + 1]，horizo​​ntalalignment ='center'，color ='w'，weight ='semibold'）
 testPlot.text（tick + .2，m1 [ind] + 1，mL1 [ind]，horizo​​ntalalignment ='center'，color ='w'，weight ='semibold'）
 ind + = 2 
 plt.show（）
  

< img src = https ：//i.stack.imgur.com/PSq9F.png alt =在此处输入图片描述>

In addition to the solution posted in this link I would also like if I can also add the Hue Parameter, and add the Median Values in each of the plots.

The Current Code:

testPlot = sns.boxplot(x='Pclass', y='Age', hue='Sex', data=trainData)
m1 = trainData.groupby(['Pclass', 'Sex'])['Age'].median().values
mL1 = [str(np.round(s, 2)) for s in m1]
p1 = range(len(m1))

for tick, label in zip(p1, testPlot.get_xticklabels()):
    print(testPlot.text(p1[tick], m1[tick] + 1, mL1[tick]))

Gives a Output Like:

I'm working on the Titanic Dataset which can be found in this link.

I'm getting the required values, but only when I do a print statement, how do I include it in my Plot?

解决方案

Place your labels manually according to hue parameter and width of bars for every category in a cycle of all xticklabels:

import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib.pylab as plt

trainData = pd.read_csv('titanic.csv')
testPlot = sns.boxplot(x='pclass', y='age', hue='sex', data=trainData)
m1 = trainData.groupby(['pclass', 'sex'])['age'].median().values
mL1 = [str(np.round(s, 2)) for s in m1]

ind = 0
for tick in range(len(testPlot.get_xticklabels())):
    testPlot.text(tick-.2, m1[ind+1]+1, mL1[ind+1],  horizontalalignment='center',  color='w', weight='semibold')
    testPlot.text(tick+.2, m1[ind]+1, mL1[ind], horizontalalignment='center', color='w', weight='semibold')
    ind += 2    
plt.show()

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