def plot_layout(layout, show=True):
 import matplotlib.pyplot as plt
 fig = plt.figure()
 ax = fig.add_subplot(111)
 fig.subplots_adjust(left=0, bottom=0, right=1, top=1, wspace=None, hspace=None)
 ax.set_xticks([])
 ax.set_yticks([])
 pos = [((p[0] + (p[2] / 2.0)), (p[1] + (p[3] / 2.0))) for p in layout.pos]
 (pos, outlines) = _check_outlines(pos, 'head')
 _draw_outlines(ax, outlines)
 for (ii, (this_pos, ch_id)) in enumerate(zip(pos, layout.names)):
  ax.annotate(ch_id, xy=this_pos[:2], horizontalalignment='center', verticalalignment='center', size='x-small')
 plt_show(show)
 return fig

def plot_layout ( layout , show = True ) : import matplotlib . pyplot as plt fig = plt . figure ( ) ax = fig . add_subplot ( 111 ) fig . subplots_adjust ( left = 0 , bottom = 0 , right = 1 , top = 1 , wspace = None , hspace = None ) ax . set_xticks ( [ ] ) ax . set_yticks ( [ ] ) pos = [ ( ( p [ 0 ] + ( p [ 2 ] / 2.0 ) ) , ( p [ 1 ] + ( p [ 3 ] / 2.0 ) ) ) for p in layout . pos ] ( pos , outlines ) = _check_outlines ( pos , 'head' ) _draw_outlines ( ax , outlines ) for ( ii , ( this_pos , ch_id ) ) in enumerate ( zip ( pos , layout . names ) ) : ax . annotate ( ch_id , xy = this_pos [ : 2 ] , horizontalalignment = 'center' , verticalalignment = 'center' , size = 'x-small' ) plt_show ( show ) return fig
plot the sensor positions .