Seaborn draws box plots

Public number: You Er Hut
Author: Peter
Editor: Peter

Hello everyone, my name is Peter~

This article describes how to use seaborn's boxplot method to draw box plots. Let's first look at the drawing effect of some graphics:

parameter

The main parameters in drawing the graph are as follows:

For more information, please refer to the official website address: seaborn.pydata.org/generated/s…

boxplot

A box chart is a statistical chart used to display the dispersion of a set of data. It can quickly display outliers in the data. It is shaped like a box, hence the name. It is also called a box and whisker chart. , box plot or box plot .

In 1977, the famous American mathematician John W. Tukey first introduced the box plot in his book "Exploratory Data Analysis".

Quartiles are the most important concept in box plots. The gap between Q3 and Q1 is called InterQuartile Range (IQR) : IQR=Q3-Q1

Built-in data

Seaborn also has its own built-in dataset:

import seaborn as sns
# style设置
sns.set_theme(style="whitegrid")  
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tips

Consumption dataset tips

iris

Well-known iris dataset

Horizontal Box Plot

In [4]:

# 方式1：指定x为某个Series型数据

ax = sns.boxplot(x=tips["total_bill"])
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# 方式2：传入x和data参数
ax = sns.boxplot(x="total_bill",
                data=tips)
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Vertical Box Plot

In [6]:

ax = sns.boxplot(y=tips["total_bill"])

# 方式2：传入y和data参数
# ax = sns.boxplot(y="total_bill", data=tips)
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parameter orient

In [7]:

ax = sns.boxplot(x="day",y="total_bill", data=tips)
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Change the position of xy:

ax = sns.boxplot(y="day",x="total_bill", data=tips)
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parameter order

Sorts the specified parameter

In [11]:

# 默认情况
ax = sns.boxplot(
    x="sex",
    y="tip", 
    data=tips
)
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In the following example, we introduce the parameter order, mainly to view the two labels in the x-axis;

In [12]:

ax = sns.boxplot(
    x="sex",
    y="tip", 
    data=tips,
    order=["Female","Male"]  # 引入参数
)
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Unlike the default sorting, it is displayed in the specified order:

Parameter hue use

The parameter hue is mainly used to adjust the color bar

In [13]:

ax = sns.boxplot(
    x="day",
    y="tip", 
    data=tips,
    hue="sex"  # 引入参数
)
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Parameters hue_order

In [14]:

ax = sns.boxplot(
    x="day",
    y="tip", 
    data=tips,
    hue="sex",
    hue_order=["Female","Male"]  # 引入参数
)
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Parameters palette

Use the palette to set the color version

In [15]:

ax = sns.boxplot(
    x="day",
    y="tip", 
    data=tips,
    hue="sex",
    palette="Set3"  # 颜色版
)
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ax = sns.boxplot(
    x="day",
    y="tip", 
    data=tips,
    hue="sex",
    palette="Set2"  # 颜色版
)
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size parameter

Mainly the settings of saturation, width, fliersize, linewidth, whis

In [19]:

# 全部是默认情况
ax = sns.boxplot(x="sex",y="tip", data=tips, hue="day")
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ax = sns.boxplot(
    x="sex",
    y="tip", 
    data=tips,
    hue="day",
    width=0.7,
    linewidth=3,
)
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ax = sns.boxplot(
    x="sex",
    y="tip", 
    data=tips,
    hue="day",
    width=0.7,
    linewidth=3,
    whis=3  # 引入whis
)
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parameter notch

custom notch

In [22]:

ax = sns.boxplot(
    x="day", 
     y="total_bill", 
     hue="sex",
     data=tips,
    notch=True   # 加入参数
)
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parameter dodge

Must be used with hue to control whether the boxplots under the same group are drawn separately or overlapped

In [23]:

ax = sns.boxplot(
	x="day", 
  y="total_bill", 
  hue="sex",
  data=tips, 
  dodge=False)
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ax = sns.boxplot(
    x="day", 
    y="total_bill",
    hue="sex",
    data=tips, 
    dodge=True)
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catplot - classification plot

Combining Box Plots and Classification Plots

In [26]:

ax = sns.catplot(
    x="sex", 
    y="total_bill",
    hue="smoker", 
    col="time",
    data=tips, 
    kind="box",  # 箱型图
    height=4, 
    aspect=.7)
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ax = sns.catplot(
    x="total_bill",
    y="sex",            
    hue="smoker", 
    col="time",
    data=tips, 
    orient="h",  # 水平方向
    kind="box",  # 箱型图
    height=4, 
    aspect=.7,
    palette="Set2"
)
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ax = sns.catplot(
    x="sex", 
    y="total_bill",
    hue="smoker", 
    col="time",
    data=tips, 
    kind="violin",  # 小提琴图
    height=4, 
    aspect=.7)
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