Seaborn：并排绘制 2 个 pairplots

Question

我正在尝试制作一个可以并排生成两个配对图的函数。我有时间生产 1 个。

import seaborn as sns
data = sns.load_dataset("iris")

def pairplot(col,hue_var):
    sns.set(style="ticks")
    cols_to_look_at = col + [hue_var]
    sns.pairplot(data[cols_to_look_at], hue=hue_var)

col_names1 =  ['sepal_length', 'sepal_width']
col_names2 =  ['petal_length', 'petal_width']

pairplot(col_names1,'species')
pairplot(col_names2,'species')

感谢任何帮助

Answer 1

其实不是小事

pairplot 没有 ax 参数来简化它，因为它在 seaborn 的 "figure-level" 性质。

有一些技巧： How to plot multiple Seaborn Jointplot in Subplot

A "clean" 一个是将绘图保存为图像，以便将它们放回原处：

在你的地块中使用它：

import matplotlib.image as mpimg
import matplotlib.pyplot as plt


import seaborn as sns
data = sns.load_dataset("iris")


def pairplot(col,hue_var):

    sns.set(style="ticks")
    cols_to_look_at = col + [hue_var] 
    return sns.pairplot(data[cols_to_look_at], hue=hue_var) # !!! I've placed a return

col_names1 =  ['sepal_length', 'sepal_width']
col_names2 =  ['petal_length', 'petal_width']

g0 = pairplot(col_names1,'species')
g1 = pairplot(col_names2,'species')



############### 1. SAVE PLOTS IN MEMORY TEMPORALLY
g0.savefig('g0.png', dpi=300)
plt.close(g0.fig)

g1.savefig('g1.png', dpi=300)
plt.close(g1.fig)


############### 2. CREATE YOUR SUBPLOTS FROM TEMPORAL IMAGES
f, axarr = plt.subplots(1, 2, figsize=(20, 20))

axarr[0].imshow(mpimg.imread('g0.png'))
axarr[1].imshow(mpimg.imread('g1.png'))

# turn off x and y axis
[ax.set_axis_off() for ax in axarr.ravel()]

plt.tight_layout()
plt.show()

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