问题
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))
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')
My output is as follows:
However, I am interested in actually seeing the plot inline a Jupyter notebook.
回答1:
It seems that you've read the document and are on the right track by using BytesIO
. Two more steps to do are just:
- Use a proper tag for you plot
- Encode your
figdata
using Base64. Then decode them intostr
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')
来源:https://stackoverflow.com/questions/44741809/in-an-html-table-how-to-add-text-beside-plot-in-jupyter-notebook-using-python