作为python、pandas、seaborn等的新用户,我正在寻求您的帮助。 这是我的问题:我有一个具有以下结构的熊猫数据帧:
df = pd.DataFrame([[1, "M1","2020","Brut","A",0.51],
[1, "M2","2020","Brut","A",0.6],
[1, "M3","2020","Brut","A",0.2],
[1, "M1","2030","Brut","A",0.5],
[1, "M2","2030","Brut","A",0.6],
[1, "M3","2030","Brut","A",0.8],
[2, "M1","2020","Brut","B",1],
[2, "M2","2020","Brut","B",0.4],
[2, "M3","2020","Brut","B",0.3],
[3, "M1","2030","Brut","B",0.6],
[3, "M2","2030","Brut","B",0.85],
[3, "M3","2030","Brut","B",0.59]],
columns=['Site', 'Model','Time','Type','Region','Value'])
这就是熊猫的数据帧
Site Model Time Type Region Value
0 1 M1 2020 Brut A 0.51
1 1 M2 2020 Brut A 0.60
2 1 M3 2020 Brut A 0.20
3 1 M1 2030 Brut A 0.50
4 1 M2 2030 Brut A 0.60
5 1 M3 2030 Brut A 0.80
6 2 M1 2020 Brut B 1.00
7 2 M2 2020 Brut B 0.40
8 2 M3 2020 Brut B 0.30
9 3 M1 2030 Brut B 0.60
10 3 M2 2030 Brut B 0.85
11 3 M3 2030 Brut B 0.59
我想做的是有一个seaborn箱线图,场地和区域都是“色调”条件。 我想知道每个站点对应的区域。例如,我想网站2&;3连接到区域B。 现在,我只能通过一个简单的箱线图成功
这是我的密码:
import pandas as pd
from os.path import isfile, join
import matplotlib.pyplot as plt
import seaborn as sns
from matplotlib.patches import PathPatch
path=r"C:\Downloads\test_seaborn.csv"
df=pd.read_csv(path,";")
fig = plt.gcf()
# Change seaborn plot size
fig.set_size_inches(20, 20)
#change seaborn x and y axis size
sns.set(font_scale=1.4)
sns.set_style("darkgrid") #format of the grid
# call boxplot function, x and y must be columns of the dataframe, part of the code to add the mean
bp=sns.boxplot(x='Site',y='Value',hue="Time", data=df)
# add a title
bp.set_title("Boxplot per site",fontdict= { 'fontsize': 24, 'fontweight':'bold'})
# set x label and y label size and name
bp.set_xlabel('Site',fontsize = 20, )
bp.set_ylabel('Value (m²/s)',fontsize = 20 )
# set legend caracteristics
bp.legend(fontsize = 20, \
title="Time", \
title_fontsize = 18, \
shadow = True, \
facecolor = 'white')
有什么办法帮我吗
致意 纳塔恩
目前没有回答
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