seaborn 箱线图的子图

Question

我有一个这样的数据框

import seaborn as sns
import pandas as pd
%pylab inline

df = pd.DataFrame({'a' :['one','one','two','two','one','two','one','one','one','two'], 
                   'b': [1,2,1,2,1,2,1,2,1,1], 
                   'c': [1,2,3,4,6,1,2,3,4,6]})

单个箱线图即可：

sns.boxplot(y="b", x="a", data=df, orient='v')

但我想为所有变量构建一个子图。我试过了：

names = ['b', 'c']
plt.subplots(1,2)
sub = []

for name in names:
    ax = sns.boxplot(  y=name, x= "a", data=df,  orient='v' )
    sub.append(ax)

但它输出：

Answer 1

names = ['b', 'c']
fig, axes = plt.subplots(1,2)

for i,t in enumerate(names):
    sns.boxplot(y=t, x="a", data=df, orient='v', ax=axes[i % 2])

示例：

names = ['b', 'c']
fig, axes = plt.subplots(1,2)
sns.set_style("darkgrid")
flatui = ["#95a5a6", "#34495e"]

for i,t in enumerate(names):
    sns.boxplot(y=t, x= "a", data=df, orient='v', ax=axes[i % 2], palette=flatui)

Answer 2

我们用子图创建图形：

f, axes = plt.subplots(1, 2)

其中 axes 是包含每个子图的数组。

然后我们用参数 ax.

告诉每个情节我们想要它们在哪个子情节中

sns.boxplot(  y="b", x= "a", data=df,  orient='v' , ax=axes[0])
sns.boxplot(  y="c", x= "a", data=df,  orient='v' , ax=axes[1])

结果是：

Answer 3

如果您想遍历多个不同的子图，请使用 plt.subplots:

import matplotlib.pyplot as plt

# Creating subplot axes
fig, axes = plt.subplots(nrows,ncols)

# Iterating through axes and names
for name, ax in zip(names, axes.flatten()):
    sns.boxplot(y=name, x= "a", data=df, orient='v', ax=ax)

工作示例：

import numpy as np

# example data
df = pd.DataFrame({'a' :['one','one','two','two','one','two','one','one','one','two'], 
                   'b': np.random.randint(1,8,10), 
                   'c': np.random.randint(1,8,10),
                   'd': np.random.randint(1,8,10),
                   'e': np.random.randint(1,8,10)})

names = df.columns.drop('a')
ncols = len(names)
fig, axes = plt.subplots(1,ncols)

for name, ax in zip(names, axes.flatten()):
    sns.boxplot(y=name, x= "a", data=df, orient='v', ax=ax)
    
plt.tight_layout()

seaborn 箱线图的子图

Subplot for seaborn boxplot

python

loops

boxplot

python-3.x

seaborn