显示字典中的海洋情节 [英] Showing seaborn plot from dictionary

问题描述

我需要将图存储在这样的字典中:

I need to store plots in a dictionary like this:

import matplotlib.pyplot as plt
import seaborn as sns

test = dict()
test['a'] = sns.lmplot(x="sepal_length", y="sepal_width", hue="species",
                       truncate=True, height=5, data=sns.load_dataset("iris"))

但是如何显示dict中的图?

But how do I show that plot from the dict?

test['a']返回类似于<seaborn.axisgrid.FacetGrid at 0x233011bfe80>的图对象，但不显示图本身.

test['a'] returns the plot object like <seaborn.axisgrid.FacetGrid at 0x233011bfe80> but does not show the plot itself.

test['a']
plt.show()

也不显示图.

有人建议如何显示字典中的情节吗?

Any suggestions how to show the plot from the dictionary?

基于给出的答案，我尝试将dict保存到一个pickle文件中，但是显示pickle中的图会出现错误:

Based on the answer given I tried saving the dict to a pickle file, but showing the plot from pickle gives an error:

import pickle
import matplotlib.pyplot as plt
import seaborn as sns

test = dict()
test['a'] = sns.lmplot(x="sepal_length", y="sepal_width", hue="species",
                       truncate=True, data=sns.load_dataset("iris"))
plt.close()

# store dict in pickle file
outfile = open('test.pkl', 'wb')
pickle.dump(test, outfile)
outfile.close()

# delete dictionary
del test

# load dictionary form pickle file
infile = open('test.pkl', 'rb')
test = pickle.load(infile)
infile.close()

test['a'].fig

推荐答案

调用相关的fig似乎足够了:

It seems to suffice to call the associated fig:

test['a'].fig

在Jupyter笔记本中为我工作.

works for me in a jupyter notebook.

btw:必须删除高度参数

btw: had to remove height parameter

完全改变问题不是很好.但是，看来您的问题仅与木星有关！ 选中此问题.

It's not good to change the question entirely. However, it seems that your issue is only related to Jupiter! Check this issue.

一种解决方案是在第一个单元格前添加%matplotlib notebook

One solution is to prepend the first cell with %matplotlib notebook

这篇关于显示字典中的海洋情节的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！