# -- levels
levels = np.linspace(minmax[0], minmax[1], minmax[2]) # Change
#levels = np.arange(33.5,35.5,0.2) # Mean salinity
#levels = np.arange(-2,30,2) # Mean temperature
#levels = np.arange(0,701,50) # Mean volume
ext_cmap = 'both'
contourDict = {
'cmap': cmap,
'levels': levels,
'ext_cmap': ext_cmap,
'isopyc': False
}
# -- Contourf of signal
cnplot = zon_2Dz(plt, axes[0, 0], axes[1, 0], 'left', lat, targetz, varAtl,
contourDict, domzed)
cnplot = zon_2Dz(plt, axes[0, 1], axes[1, 1], 'mid', lat, targetz, varPac,
contourDict, domzed)
cnplot = zon_2Dz(plt, axes[0, 2], axes[1, 2], 'right', lat, targetz, varInd,
contourDict, domzed)
if name == 'mme_hist' and modelAgree:
modelagree(axes[0, 0], axes[1, 0], agreelev, lat, targetz,
var_agreez[1, :, :])
modelagree(axes[0, 1], axes[1, 1], agreelev, lat, targetz,
var_agreez[2, :, :])
modelagree(axes[0, 2], axes[1, 2], agreelev, lat, targetz,
var_agreez[3, :, :])
# Bathymetry
# for i in range(3):
# -- Levels
minmax = [min, finalyear - 20 + 0.1, deltat]
levels = np.arange(minmax[0], minmax[1], minmax[2])
ext_cmap = 'both'
# -- Put everything into a dictionary
contourDict = {
'cmap': cmap,
'levels': levels,
'levels2': levels,
'ext_cmap': ext_cmap,
'isopyc': False
}
# -- Contourf
# Atlantic
cnplot = zon_2Dz(plt, axes[0, 0], axes[1, 0], 'left', lat, targetz,
varAtlmedian, contourDict, domzed)
cnplot[0].cmap.set_over('0.8')
cnplot[1].cmap.set_over('0.8')
# -- Add colorbar
cb = fig.colorbar(cnplot[1],
ax=axes.ravel().tolist(),
ticks=levels,
fraction=0.015,
shrink=2.0,
pad=0.05)
cb.set_label('%s' % (unit, ), fontweight='bold', fontsize=14)
cb.ax.set_yticklabels(cb.ax.get_yticklabels(), fontweight='bold')
cb.ax.yaxis.set_tick_params(which='major', width=2, labelsize=12)
# Pacific