Both SlicePlot and LinePlot have an "frb" attribute that can do this. "frb" is short for fixed resolution buffer, you can also create a FixedResolutionBuffer object directly if you don't want to go through a plot first. But to answer your question:

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import yt ds = yt.load('IsolatedGalaxy/galaxy0030/galaxy0030') plot = yt.SlicePlot(ds, 'z', ('gas', 'density')) image = plot.frb['gas', 'density'] image ImageArray([[4.91956679e-31, 4.91956679e-31, 4.91956679e-31, ..., 4.91953429e-31, 4.91953429e-31, 4.91953429e-31], [4.91956679e-31, 4.91956679e-31, 4.91956679e-31, ..., 4.91953429e-31, 4.91953429e-31, 4.91953429e-31], [4.91956679e-31, 4.91956679e-31, 4.91956679e-31, ..., 4.91953429e-31, 4.91953429e-31, 4.91953429e-31], ..., [4.91956021e-31, 4.91956021e-31, 4.91956021e-31, ..., 4.91951824e-31, 4.91951824e-31, 4.91951824e-31], [4.91956021e-31, 4.91956021e-31, 4.91956021e-31, ..., 4.91951824e-31, 4.91951824e-31, 4.91951824e-31], [4.91956021e-31, 4.91956021e-31, 4.91956021e-31, ..., 4.91951824e-31, 4.91951824e-31, 4.91951824e-31]]) g/cm**3

You could also do e.g. np.array(image) to get back a plain numpy array without units. You can control the resolution of the image by calling plot.set_buff_size. See the docstrings and documentation for more info. For LinePlot it's similar, except since it supports plotting multiple lines at the same time, it has an attribute called 'lines' that holds a list of LineBuffer objects:

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p = yt.LinePlot(ds, ('gas', 'density'), [0, 0, 0], [1, 1, 1], 100) p.lines [] l = p.lines[0] l['gas', 'density'] YTArray([4.92775113e-31, 4.92775113e-31, 4.92775113e-31, 4.92775113e-31, 4.96987919e-31, 4.96987919e-31, 4.96987919e-31, 4.97023179e-31, 4.97023179e-31, 4.97023179e-31, 4.97023632e-31, 4.97023632e-31, 4.97023632e-31, 4.97024002e-31, 4.97024002e-31, 4.97024002e-31, 4.97024866e-31, 4.97024866e-31, 4.97024866e-31, 4.97026718e-31, 4.97026718e-31, 4.97026718e-31, 4.97029844e-31, 4.97029844e-31, 4.97029844e-31, 4.97886419e-31, 4.97886419e-31, 4.97062801e-31, 5.24180988e-31, 5.04485900e-31, 4.97426883e-31, 4.97034411e-31, 4.97035934e-31, 4.93452054e-31, 5.13882260e-31, 4.97194338e-31, 4.97091025e-31, 4.97140357e-31, 4.97624662e-31, 5.20128850e-31, 3.07842369e-30, 7.38727627e-30, 2.64390638e-29, 2.61299513e-29, 2.20546348e-29, 7.35661360e-29, 9.36134319e-29, 2.11825925e-28, 8.91401066e-28, 5.36897290e-27, 3.77679792e-27, 5.19837507e-28, 1.68498658e-28, 1.22250288e-28, 4.89956291e-29, 5.38828391e-29, 3.30081098e-29, 5.19947043e-30, 6.39781169e-30, 5.51930167e-30, 7.06063703e-31, 4.97779610e-31, 4.97131511e-31, 4.97092136e-31, 4.97065681e-31, 4.97041159e-31, 4.97010013e-31, 4.97056629e-31, 4.97035152e-31, 4.97029844e-31, 4.97013839e-31, 4.96973642e-31, 4.97018283e-31, 4.96881109e-31, 4.96881109e-31, 4.97029721e-31, 4.97029721e-31, 4.97029721e-31, 4.97026718e-31, 4.97026718e-31, 4.97026718e-31, 4.97024907e-31, 4.97024907e-31, 4.97024907e-31, 4.97024084e-31, 4.97024084e-31, 4.97024084e-31, 4.97023591e-31, 4.97023591e-31, 4.97023591e-31, 4.97023220e-31, 4.97023220e-31, 4.97023220e-31, 4.96989811e-31, 4.96989811e-31, 4.96989811e-31, 4.92762688e-31, 4.92762688e-31, 4.92762688e-31, 4.92762688e-31]) g/cm**3

Again, you could do np.array(l['gas', 'density']) if you wanted a plain numpy array. Hope that's helpful. On Wed, Oct 16, 2019 at 1:39 AM Prateek Gupta wrote:

Hello Tseng,

I think if you create a Slice plot in FITS format you can achieve it with any number of pixels and pixels size (say 4024*4024). This could be the easy way to do, but it will convert the slice plot (the final image itself) into a numpy array (FITS format)

For more details, you can visit this link: https://yt-project.org/doc/visualizing/writing_fits_images.html

I hope this will help you if I get you correctly.

Regards, -Prateek

On Wed, Oct 16, 2019 at 6:30 AM Tseng, Po-Hsun wrote:

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Please remove this duplicate post. _______________________________________________ yt-users mailing list -- yt-users@python.org To unsubscribe send an email to yt-users-leave@python.org

_______________________________________________ yt-users mailing list -- yt-users@python.org To unsubscribe send an email to yt-users-leave@python.org

It's helpful, thanks!