In [1]:

    

from dagmc_slice_tool import dagmc_slicer


    

In [2]:

    

slicer = dagmc_slicer(filename = "teapot_grps_zip.h5m")


    

In [3]:

    

print slicer.axis #axis for the slice (default)
print slicer.coord #coordinate on which to slice for the slicer.axis (default is 0.0)
print slicer.by_group #indicates whether the plot will be done by tally/material group or not
print slicer.filename #filename to be sliced


    

    




0
0.0
False
teapot_grps_zip.h5m

In [4]:

    

slicer.create_slice()


    

In [5]:

    

slicer.show_slice() #check boxes for fill and visibility only apply to a model with groups (example to come)


    

In [6]:

    

slicer.axis = 2 #the slicer's axis can be changed directly, but the slice will need to be regenerated (or now)
slicer.create_slice()


    

In [7]:

    

slicer.show_slice()


    

In [8]:

    

slicer.figure #matplotlib figure and axes can be accessed as attributes of the slicer
slicer.plt_ax


    

    
Out[8]:





<matplotlib.axes._subplots.AxesSubplot at 0x7f1ad2ddb7d0>

In [9]:

    

slicer.by_group = True #slicer setting for groups can be set directly or on file open


    

In [10]:

    

#but they can also be set upon creation
slicer = dagmc_slicer( filename = "teapot_grps_zip.h5m", axis = 2, coordinate = 0.0, by_group = True)


    

In [11]:

    

slicer.create_slice()


    

In [13]:

    

slicer.show_slice()
#groups can now be selected in the legend of the plot to set their fill and visibility
#the legend will reflect the state of each group


    

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