Created
October 31, 2019 20:12
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import yt | |
import numpy as np | |
ds = yt.load("enzo_tiny_cosmology/RD0009/RD0009") | |
ad = ds.all_data() | |
def _norm(field, data): | |
temp = data["density"].copy() | |
dens = np.array(data["density"]) | |
temp.fill(0) | |
temp[np.logical_and(dens > 1e-29, dens <= 1e-28)] = 1.0 | |
temp[np.logical_and(dens > 1e-30, dens <= 1e-29)] = 2.0 | |
temp[np.logical_and(dens > 1e-31, dens <= 1e-30)] = 3.0 | |
return temp | |
ds.add_field("norm", function=_norm, take_log=False, units="g/cm**3") | |
plot = yt.SlicePlot(ds, "x", "norm") | |
plot.set_log('norm', False) | |
plot.set_zlim('norm', 0.0, 3.0) | |
plot.set_cmap('norm', 'RAINBOW') | |
plot.save("Test.png") |
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