在HTML表格中，如何使用python在jupyter笔记本中添加文字旁边的文字？

问题描述

有关如何创建1 X 2 HTML表格的任何想法，其中单元格{0}是matplotlib图和单元格{1}是Python 3.X的文本说明？

Any ideas on how to create a 1 X 2 HTML table where cell {0} is a matplotlib plot and cell {1} is a text description for Python 3.X?

import matplotlib.pyplot as plt
from io import BytesIO
%matplotlib inline

def add_split_screen(fig, text, iwidth=None):

    figdata = BytesIO()
    fig.savefig(figdata, format='png') 
    figdata.seek(0)
    figdata
    figdata.close()
    iwidth = ' width={0} '.format(iwidth) if iwidth is not None else ''
    datatable = '<table><tr><td>{0}</td><td>{1}</td></tr></table>'.format(figdata, text)
    display(HTML(datatable)) 

设置测试用例：

Setting up a test case:

fig, ax = plt.subplots(1,1, figsize=(6,4))
ax.plot([1,2,3])
text = '<h4>Special Chart:</h4><BR>Description of chart will go here.'

Then running the function in a Jupyter notebook:

add_split_screen(fig, text, iwidth='500px')

我的输出如下：

My output is as follows:

然而，我有兴趣真正看到内嵌Jupyter笔记本的情节。

However, I am interested in actually seeing the plot inline a Jupyter notebook.

推荐答案

您似乎已阅读文件并通过使用 BytesIO 来进入正确的轨道。另外两个步骤是：

It seems that you've read the document and are on the right track by using BytesIO. Two more steps to do are just:

1. 为您绘制一个适当的标签


2. 编码您的 figdata 使用Base64。然后将它们解码为 str

1. Use a proper tag for you plot
2. Encode your figdata using Base64. Then decode them into str

这是一个完整且可验证的（在Jupyter笔记本）从您的代码修改的例子：

Here is a complete and verifiable (in Jupyter notebook) example modified from your code:

from base64 import b64encode
from io import BytesIO

from IPython.display import display, HTML
import matplotlib.pyplot as plt

def add_split_screen(fig, text, iwidth=None):
    figdata = BytesIO()
    fig.savefig(figdata, format='png')
    iwidth = ' width={0} '.format(iwidth) if iwidth is not None else ''
    datatable = '<table><tr><td><img src="data:image/png;base64,{0}"/></td><td>{1}</td></tr></table>'.format(b64encode(figdata.getvalue()).decode(), text)
    display(HTML(datatable)) 

fig, ax = plt.subplots(1,1, figsize=(6,4))
ax.plot([1,2,3])
text = '<h4>Special Chart:</h4><BR>Description of chart will go here.'
add_split_screen(fig, text, iwidth='500px')

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