On Wed, Dec 29, 2021 at 8:28 PM John MacFarlane <jgm-TVLZxgkOlNX2fBVCVOL8/A@public.gmane.org> wrote:

>
> See the --extract-media option in the manual.
>

Thank you ! 👍


>
>
> Sébastien Boisgérault <sebastien.boisgerault-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org> writes:
>
> > Hello everyone,
> >
> > When i convert the images.ipynb notebook to markdown, the resuting
> document
> > contains
> >
> > ::: {.output .execute_result execution_count="4"}
> > ![](fcbe61351f965c3664d65d5e93991915402e0483.png)
> > :::
> >
> > but AFAICT, the png file is not generated. Using the standalone option
> does
> > not change anything. And of course, the round-tripping (md -> ipynb)
> fails
> > with:
> >
> > File fcbe61351f965c3664d65d5e93991915402e0483.png not found in resource
> path
> >
> > The original notebook can be visualized here:
> >
> https://github.com/boisgera/python-advanced-eval/blob/master/samples/images.ipynb.
>
> > The (Grace Hopper) image it contains is an image/png cell output
> > (Matplotlib is used to display the image) :
> >
> >   {
> >    "cell_type": "code",
> >    "execution_count": 4,
> >    "metadata": {},
> >    "outputs": [
> >     {
> >      "data": {
> >       "image/png":
> >
> "iVBORw0KGgoAAAANSUhEUgAAAgAAAAJYCAIAAACbx8k3AAEAAElEQVR4nGT92dMsWZIfhrn72SIil2+/S9Xtqq7qbboxPSswwGAAGQwkRYEyQgYZARIvMiNIo0wveseDTGaCXkTqX+CLKJO4CRIIgaSGAIfAAAPMYLqnZ+nprurat7t+Wy4RcTZ3PXhGVPYgH67lzS8z4sRZfPn5z93x6tG/7X3jXUA0tWApAgAGbd/vlst
>
> > ...
> >
> > I am using pandoc 2.16.2 (Linux). Is it considered a bug or am I missing
> > something? Shall I file an issue?
> >
> > Regards,
> >
> > Sébastien
> >
> >
> > --
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> .
> > ---
> > jupyter:
> >   nbformat: 4
> >   nbformat_minor: 2
> > ---
> >
> > ::: {.cell .code execution_count="1"}
> > ``` python
> > import matplotlib.pyplot as plt
> > from matplotlib.cbook import get_sample_data
> > ```
> > :::
> >
> > ::: {.cell .code execution_count="2"}
> > ``` python
> > with get_sample_data("grace_hopper.jpg") as file:
> >     image_array = plt.imread(file)
> > ```
> > :::
> >
> > ::: {.cell .code execution_count="3"}
> > ``` python
> > image_array
> > ```
> >
> > ::: {.output .execute_result execution_count="3"}
> >     array([[[ 21,  24,  77],
> >             [ 27,  30,  85],
> >             [ 33,  35,  92],
> >             ...,
> >             [ 76, 114, 189],
> >             [ 71, 109, 184],
> >             [ 76, 114, 189]],
> >
> >            [[ 26,  29,  82],
> >             [ 25,  28,  83],
> >             [ 27,  29,  86],
> >             ...,
> >             [ 60,  98, 173],
> >             [ 56,  94, 169],
> >             [ 62, 100, 175]],
> >
> >            [[ 21,  24,  77],
> >             [ 20,  23,  78],
> >             [ 20,  22,  79],
> >             ...,
> >             [ 79, 117, 190],
> >             [ 80, 118, 191],
> >             [ 88, 126, 199]],
> >
> >            ...,
> >
> >            [[153,  13,  24],
> >             [163,  18,  31],
> >             [164,  18,  29],
> >             ...,
> >             [ 14,  13,  19],
> >             [ 13,  12,  18],
> >             [ 11,  10,  16]],
> >
> >            [[149,  12,  22],
> >             [156,  14,  26],
> >             [160,  16,  26],
> >             ...,
> >             [ 13,  12,  18],
> >             [ 13,  12,  18],
> >             [ 12,  11,  17]],
> >
> >            [[150,  12,  25],
> >             [154,  14,  25],
> >             [157,  16,  25],
> >             ...,
> >             [ 14,  13,  19],
> >             [ 14,  13,  19],
> >             [ 14,  13,  19]]], dtype=uint8)
> > :::
> > :::
> >
> > ::: {.cell .code execution_count="4"}
> > ``` python
> > plt.imshow(image_array)
> > plt.show()
> > ```
> >
> > ::: {.output .execute_result execution_count="4"}
> > ![](fcbe61351f965c3664d65d5e93991915402e0483.png)
> > :::
> > :::
>

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