柱形分布圖系列

柱形分布圖系列

• 使用柱形圖的方式展示數(shù)據(jù)的分布規(guī)律；

• 可以借助誤差線或散點(diǎn)圖；

• 帶誤差線的柱形圖就是使用每個(gè)類別的均值作為柱形的高度；

• 再根據(jù)每個(gè)類別的標(biāo)準(zhǔn)差繪制誤差線；

• 缺點(diǎn)：無(wú)法顯示數(shù)據(jù)的分布情況；

• 可以在帶誤差線的柱形圖的基礎(chǔ)上，添加抖動(dòng)散點(diǎn)圖；

• 優(yōu)點(diǎn)：可以方便觀察數(shù)據(jù)分布規(guī)律；

繪制柱形分布圖系列

帶誤差線柱形圖使用statsummary(fundata='meansdl',geom='bar')實(shí)現(xiàn)柱形圖；使用statsummary(fundata='meansdl',geom='errorbar')實(shí)現(xiàn)誤差線繪制；再使用geom_jitter()函數(shù)添加抖動(dòng)散點(diǎn)圖；

繪制帶誤差線的柱形圖

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"])

#帶誤差線的柱形圖

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")

繪制帶誤差線柱形與抖動(dòng)散點(diǎn)圖；

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"])

#帶誤差線柱形與抖動(dòng)圖

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")

總結(jié)

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