def horizontal_plane(self , **kwargs): field_array=kwargs['field'] u_array=self.u_array v_array=self.v_array w_array=self.w_array if self.mask: field_array.mask=w_array.mask u_array.mask=w_array.mask v_array.mask=w_array.mask if self.panel: self.set_panel(option='single') figsize=self.figure_size['single'] else: self.set_panel(option='multi') figsize=self.figure_size['multi'] self.slice_type='horizontal' with sns.axes_style("white"): fig = plt.figure(figsize=figsize) plot_grids=ImageGrid( fig,111, nrows_ncols = self.rows_cols, axes_pad = 0.0, add_all = True, share_all=False, label_mode = "L", cbar_location = "top", cbar_mode="single") ''' field extent ''' extent1=self.get_extent() ''' if zoomOpt is false then extent1=extent2 ''' if self.zoomOpt: opt=self.zoomOpt[0] extent2=cm.zoom_in(self,extent1,self.zoomCenter[opt]) else: extent2=extent1 ''' make slices ''' field_group = self.get_slices(field_array) ucomp = self.get_slices(u_array) vcomp = self.get_slices(v_array) ''' creates iterator group ''' group=zip(plot_grids,self.zlevels,field_group,ucomp,vcomp) gn=0 ''' make gridded plot ''' for g,k,field,u,v in group: self.add_coastline(g) self.add_flight_path2(g) im, cmap, norm = self.add_field2(g, array=field.T, field=self.var) if self.terrain.file: Terrain.add_contour(g,k,self) if self.wind: self.add_windvector(g,u.T,v.T,gn) if self.slice: self.add_slice_line(g,gn) if self.markersLocations: self.add_location_markers(g, gn) g.set_xlim(extent2[0], extent2[1]) g.set_ylim(extent2[2], extent2[3]) if gn == 0: legname = os.path.basename(self.file) g.text(0.02,0.15, legname[:3].upper() + " " + legname[3:5], horizontalalignment='left', transform = g.transAxes,weight='bold') if self.horizontalGridMajorOn: g.grid(True, which = 'major',linewidth=1) if self.horizontalGridMinorOn: g.grid(True, which = 'minor',alpha=0.5) g.minorticks_on() ztext=str(k)+'km MSL' g.text( 0.02, 0.03, ztext, fontsize=self.zlevel_textsize, horizontalalignment='left', verticalalignment='center', transform=g.transAxes) self.horizontal['ymajor'] = g.get_yticks(minor=False) self.horizontal['yminor'] = g.get_yticks(minor=True) self.horizontal['xmajor'] = g.get_xticks(minor=False) self.horizontal['xminor'] = g.get_xticks(minor=True) gn+=1 ''' add color bar ''' plot_grids.cbar_axes[0].colorbar(im,cmap=cmap, norm=norm) ''' add title ''' st=self.synth_start en=self.synth_end t1='Dual-Doppler Synthesis: '+ self.get_var_title(self.var) +'\n' t2='Date: '+st.strftime('%Y-%m-%d') + '\n' t3= 'Time: '+st.strftime('%H:%M')+'-'+en.strftime('%H:%M UTC') + '\n' # fig.suptitle(t1+t2+t3+self.file) fig.suptitle(t1+t2+t3) plt.draw() self.haxis=g