如何为 Seaborn 地块添加标题？

在本文中，我们将讨论如何在Python中为 Seaborn Plots 添加标题。

方法一：使用set方法添加title

set方法将 1 个参数“ title ”作为存储绘图标题的参数。

句法

set(title=”Title of a plot”)

示例：

在这里，我们将创建一个包含月份和平均温度的数据框

Python3

# import necessary packages
import pandas as pd
import seaborn as sns
  
# create a dataframe
temperature = pd.DataFrame({'Month': ['Jan', 'Feb', 'Mar',
                                      'Apr', 'May', 'Jun', 
                                      'Jul', 'Aug', 'Sep',
                                      'Oct', 'Nov', 'Dec'],
                            'Avg_Temperatures': [22, 25, 28,
                                                 32, 35, 44, 
                                                 38, 32, 25, 
                                                 23, 20, 18]})
  
# plot a line plot and set title
sns.lineplot(x='Month', y='Avg_Temperatures', data=temperature).set(
    title="Monthly Avg Temperatures")

输出

方法2：使用suptitle方法添加标题

suptitle方法接受一个字符串，它是绘图的标题作为参数。

句法

fig.suptitle(‘Title of plot’)

示例：

Python3

# import necessary packages
import pandas as pd
import seaborn as sns
  
# create a dataframe
temperature = pd.DataFrame({'Month': ['Jan', 'Feb', 'Mar',
                                      'Apr', 'May', 'Jun',
                                      'Jul', 'Aug', 'Sep',
                                      'Oct', 'Nov', 'Dec'],
                            'Avg_Temperatures': [22, 25, 28,
                                                 32, 35, 44, 
                                                 38, 32, 25, 
                                                 23, 20, 18]})
  
# plot a rel-plot
plot = sns.relplot(x='Month', y='Avg_Temperatures', data=temperature)
  
# add title using suptitle
plot.fig.suptitle('Monthly Avg Temperatures')

输出

方法三：使用 set_title 添加标题

set_title方法接受一个字符串作为参数，它是绘图的标题。

句法

set_title(‘Title of plot’)

示例：

Python3

# import necessary packages
import pandas as pd
import seaborn as sns
  
# create a dataframe
temperature = pd.DataFrame({'Month': ['Jan', 'Feb', 'Mar', 
                                      'Apr', 'May', 'Jun', 
                                      'Jul', 'Aug', 'Sep',
                                      'Oct', 'Nov', 'Dec'],
                            'Avg_Temperatures': [22, 25, 28,
                                                 32, 35, 44, 
                                                 38, 32, 25,
                                                 23, 20, 18]})
  
# plot a bar plot and add title using set_title
plot = sns.barplot(x='Month', y='Avg_Temperatures',
                   data=temperature).set_title('Monthly Avg Temperatures')

输出