How to get the matplotlib inline output via jupyter_client

[Jeff Zhang]

I try to use jupyter_client to get the matplotlib output and display it in my app. Here's what I did. But io.stdout is just a string. How can I get the actual image data of matplotlib. Thanks

In [6]: with capture_output() as io:

   ...:     reply = kc.execute_interactive("import matplotlib.pyplot as plt\n%matplotlib inline\ndata=[1,1,2,3,4]\nplt.figure()\nplt.plot(data)", timeout=TI

   ...: MEOUT)

   ...:

   ...:

In [8]: io.stdout

Out[8]: '[<matplotlib.lines.Line2D at 0x1086a8d30>]<matplotlib.figure.Figure at 0x106f220f0>'

[Thomas Kluyver]

Hi Jeff,

I think the output_hook parameter to execute_interactive() is what you want. Here's the docs:
http://jupyter-client.readthedocs.io/en/latest/api/client.html#jupyter_client.BlockingKernelClient.execute_interactive

Thomas

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[Jeff Zhang]

Thanks Thomas, is there any sample code that I can refer ?

在 2017年7月10日星期一 UTC+8下午3:56:27，takowl写道：

Hi Jeff,

I think the output_hook parameter to execute_interactive() is what you want. Here's the docs:
http://jupyter-client.readthedocs.io/en/latest/api/client.html#jupyter_client.BlockingKernelClient.execute_interactive

Thomas

On 9 July 2017 at 13:37, Jeff Zhang <zjf...@gmail.com> wrote:

I try to use jupyter_client to get the matplotlib output and display it in my app. Here's what I did. But io.stdout is just a string. How can I get the actual image data of matplotlib. Thanks

In [6]: with capture_output() as io:

   ...:     reply = kc.execute_interactive("import matplotlib.pyplot as plt\n%matplotlib inline\ndata=[1,1,2,3,4]\nplt.figure()\nplt.plot(data)", timeout=TI

   ...: MEOUT)

   ...:

   ...:

In [8]: io.stdout

Out[8]: '[<matplotlib.lines.Line2D at 0x1086a8d30>]<matplotlib.figure.Figure at 0x106f220f0>'

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[Jeff Zhang]

I try to find how jupyter display inline image of matplotlib, but could not find where jupyter use output_hook

在 2017年7月10日星期一 UTC+8下午10:17:13，Jeff Zhang写道：

[Thomas Kluyver]

It may not do exactly what you want, but the main example of programatically executing code through Jupyter is the execution preprocessor for nbconvert:

https://github.com/jupyter/nbconvert/blob/master/nbconvert/preprocessors/execute.py

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[Roland Weber]

Hi Jeff,

stdout will give you only text printed to standard output. Cell execution also yields an execution result, which can come in different mime-types. Have a look at that.

For example, execute the following in a Python notebook to see the difference:

    print ('standard output')

    'execution result'

hope that helps,

  Roland