%matplotlib inline
import yt

ds = yt.load("A2052_merged_0.3-2_match-core_tmap_bgecorr.fits", 
             slave_files=["A2052_core_tmap_b1_m2000_.fits"],
             override_fields=[("flux","counts/s/pixel"),("projected_temperature","keV")])

ds.field_list

slc = yt.SlicePlot(ds, "z", ["flux","projected_temperature"], origin="native")
slc.set_log("flux",True)
slc.set_width(250.)
slc.show()

dd = ds.all_data()

dd["flux"].units

dd["flux"].units.latex_representation()