柱形分布图系列

柱形分布图系列

• 使用柱形图的方式展示数据的分布规律；

• 可以借助误差线或散点图；

• 带误差线的柱形图就是使用每个类别的均值作为柱形的高度；

• 再根据每个类别的标准差绘制误差线；

• 缺点：无法显示数据的分布情况；

• 可以在带误差线的柱形图的基础上，添加抖动散点图；

• 优点：可以方便观察数据分布规律；

绘制柱形分布图系列

带误差线柱形图使用statsummary(fundata='meansdl',geom='bar')实现柱形图；使用statsummary(fundata='meansdl',geom='errorbar')实现误差线绘制；再使用geom_jitter()函数添加抖动散点图；

绘制带误差线的柱形图

import pandas as pd

import numpy as np

import seaborn as sns

import matplotlib.pyplot as plt

from plotnine import *

df=pd.read_csv('d:\python\out\DistributionD.csv')

df['class']=df['class'].astype("category",["n", "s", "k", "mm"])

#带误差线的柱形图

Barjitter_plot=(ggplot(df,aes(x='class',y="value",fill="class"))

+stat_summary(fun_data="mean_sdl",fun_args = {'mult':1},

geom="bar", color = "black",size = 0.75,width=0.7,show_legend=False)

+stat_summary(fun_data="mean_sdl", fun_args = {'mult':1},

geom="errorbar", color = "black",size = 0.75,width=.2,show_legend=False)

+scale_fill_hue(s = 0.90, l = 0.65, h=0.0417,color_space='husl')

+ylim(0,7)

+theme_matplotlib()

+theme(aspect_ratio =1.05,

dpi=100,

figure_size=(4,4)))

print(Barjitter_plot)

Barjitter_plot.save("d:\python\out\Barjitter_plot.pdf")

绘制带误差线柱形与抖动散点图；

import pandas as pd

import numpy as np

import seaborn as sns

import matplotlib.pyplot as plt

from plotnine import *

df=pd.read_csv('d:\python\out\DistributionD.csv')

df['class']=df['class'].astype("category",["n", "s", "k", "mm"])

#带误差线柱形与抖动图

Barjitter_plot2=(ggplot(df,aes(x='class',y="value",fill="class"))

+stat_summary(fun_data="mean_sdl", fun_args = {'mult':1},

geom="bar", fill="w",color = "black",size =0.75,width=0.7,show_legend=False)

+stat_summary(fun_data="mean_sdl",fun_args = {'mult':1},

geom="errorbar", color = "black",size = 0.75,width=.2,show_legend=False)

+geom_jitter(width=0.3,size=2,stroke=0.1,shape='o',show_legend=False)

+scale_fill_hue(s = 0.90, l = 0.65, h=0.0417,color_space='husl')

+ylim(0,7)

+theme_matplotlib()

+theme(aspect_ratio =1.05,

dpi=100,

figure_size=(4,4)))

print(Barjitter_plot2)

Barjitter_plot.save("d:\python\out\Barjitter_plot2.pdf")