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import yt
# Load the dataset.
ds = yt.load("IsolatedGalaxy/galaxy0030/galaxy0030")
# Create a slice plot for the dataset. With no additional arguments,
# the width will be the size of the domain and the center will be the
# center of the simulation box
slc = yt.SlicePlot(ds, "z", ("gas", "density"))
# Create a list of a couple of widths and units.
# (N.B. Mpc (megaparsec) != mpc (milliparsec)
widths = [(1, "Mpc"), (15, "kpc")]
# Loop through the list of widths and units.
for width, unit in widths:
# Set the width.
slc.set_width(width, unit)
# Write out the image with a unique name.
slc.save("%s_%010d_%s" % (ds, width, unit))
zoomFactors = [2, 4, 5]
# recreate the original slice
slc = yt.SlicePlot(ds, "z", ("gas", "density"))
for zoomFactor in zoomFactors:
# zoom in
slc.zoom(zoomFactor)
# Write out the image with a unique name.
slc.save("%s_%i" % (ds, zoomFactor))
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