1 | try:
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2 | import pylab as p
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3 | except ImportError:
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4 | print "could not import pylab, matplotlib has not been installed, no plotting capabilities enabled"
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5 | import numpy as np
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6 | from processmesh import processmesh
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7 | from applyoptions import applyoptions
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8 |
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9 | def plot_icefront(md,options,fig,ax):
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10 | #PLOT_ICEFRONT - plot segment on neumann BC
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11 | #
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12 | # Usage:
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13 | # plot_icefront(md,options,width,i)
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14 | #
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15 | # See also: PLOTMODEL
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16 | #process mesh and data
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17 | x,y,z,elements,is2d,isplanet=processmesh(md,[],options)
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18 | icefront=np.where(np.logical_and(np.sum(md.mask.ice_levelset[elements],1)<3,np.sum(md.mask.ice_levelset[elements],1)>-3))
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19 | onlyice=np.where(np.sum(md.mask.ice_levelset[elements],1)==-3)
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20 | noice=np.where(np.sum(md.mask.ice_levelset[elements],1)==3)
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21 |
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22 | #plot mesh
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23 | ax.triplot(x,y,elements)
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24 |
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25 | #highlight elements on neumann
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26 | colors=np.asarray([0.5 for element in elements[icefront]])
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27 |
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28 | ax.tripcolor(x,y,elements[icefront],facecolors=colors,alpha=0.5,label='elements on ice front')#,facecolor='b'
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29 |
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30 | #apply options
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31 | options.addfielddefault('title','Neumann boundary conditions')
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32 | options.addfielddefault('colorbar','off')
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33 | applyoptions(md,[],options,fig,ax)
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