在箱线图中按线中值连接

Question

我试图通过一条线连接箱线图的中值，但我无法做到，我包括我的情节和我的代码来制作它。 看过其他帖子，但是用了pandas模块，之前没用过

要做到这一点： 将绿线与另一条绿线连接，将黄线与另一条黄线连接

import sys
import csv
import numpy as np
import matplotlib.pyplot as plt
from collections import namedtuple
from itertools import combinations
from random import randrange, choice
import numpy as np
from functools import cmp_to_key

point = namedtuple('point','x y z')#crea la tupla
fieldnames=["node_code","node_type","wlan_code","destination_id","x(m)","y(m)","z(m)","primary_channel","min_channel_allowed","max_channel_allowed","cw","cw_stage","tpc_min(dBm)","tpc_default(dBm)","tpc_max(dBm)","cca_min(dBm)","cca_default(dBm)","cca_max(dBm)","tx_antenna_gain","rx_antenna_gain","channel_bonding_model","modulation_default","central_freq (GHz)","lambda","ieee_protocol","traffic_load(pkts/s)"]#encabezados
#######FUNCIONES QUE EJECUTA EL PROGRAMA
def calcular_distancia(p1,p2):#FUNCION DE DISTANCIA
    return np.sqrt((p1.x-p2.x)**2+(p1.y-p2.y)**2+(p1.z-p2.z)**2)
def set_box_color1(bp1, color):
    plt.setp(bp1['boxes'], color=color)
    plt.setp(bp1['whiskers'], color=color)
    plt.setp(bp1['caps'], color=color)
    plt.setp(bp1['medians'], color='lime')
    plt.setp(bp1['fliers'], color=color)
def set_box_color2(bp2, color):
    plt.setp(bp2['boxes'], color=color)
    plt.setp(bp2['whiskers'], color=color)
    plt.setp(bp2['caps'], color=color)
    plt.setp(bp2['medians'], color='yellow')
    plt.setp(bp2['fliers'], color=color)
########################################################################
def main():
    sample1=[]
    sample2=[]
    posiciones=[]
    for arch_coord,arch_result in [("nodos_escn300_topologia1.csv","resultados_escn300_100_topologia1_v1_v2.csv"),("nodos_escn300_topologia2.csv","resultados_escn300_100_topologia2_v1_v2.csv")]:
        main = {} #diccionario QUE GUARDA TUPLA CON (ORIGEN/DESTINO/DISTANCIA/CANAL)
        with open(arch_coord,'r') as inputfile:
             reader = csv.DictReader(inputfile,delimiter=";",fieldnames=fieldnames )
             for row in reader:
                 if row['node_type']=='0':
                    main.update({row['wlan_code']:{'point':point(x=float(row['x(m)']),y=float(row['y(m)']), z= float(row['z(m)'])),'channel':row['primary_channel']}})

        temp=[]
        for item in combinations(main,2):
            d = calcular_distancia(main[item[0]]['point'],main[item[1]]['point'])
            temp.append(d)
            #print(item,d)

        posiciones.append(np.mean(temp))
        print(np.mean(temp))
        #print(posiciones)
        sample1_1 = []
        sample1_2 = []

        with open(arch_result,'r') as fhan:
            reader = csv.reader(fhan,delimiter=',')
            for row in reader:
                sample1_1.append(float(row[0]))
                sample1_2.append(float(row[1]))

            sample1.append(sample1_1)
            sample2.append(sample1_2)
    ax = plt.gca()
    bp1 = plt.boxplot(sample1,positions=np.array(posiciones)*1.0-0.4, widths = 0.6)
    set_box_color1(bp1,'red')
    bp2 = plt.boxplot(sample2,positions=np.array(posiciones)*1.0+0.4, widths = 0.6)
    set_box_color2(bp2,'blue')    
    plt.plot([], c='red', label='Brute Force')
    plt.plot([], c='blue', label='Enhanced')
    plt.legend()
    plt.xticks(rotation='vertical')
    #plt.xticks(range(1,len(posiciones)*1,15),posiciones,rotation='vertical')
    plt.xlim(100,215)
    plt.title("Grafica de Escenario 300(100 topologias)") 
    plt.xlabel("Distancia promedio")
    #plt.ylabel("Throughput")
    plt.grid(True)
    plt.show()

感谢您为我提供的所有帮助

Answer 1

尝试添加以下代码：

import seaborn as sns
# you will have to find a work around with group by which will relate with your data
sns.pointplot(x='group', y='value', data=df.groupby('group', as_index=False).median(), ax=ax)