def _draw_zonal_plot(self, timmean=True, vmin=None, vmax=None,
fontsize=8):
"""
calculate zonal statistics and add to zonal axis
Parameters
----------
timmean : bool
temporal mean for zonal plot [default=True]
vmin : float
minimum value for zonal plot
vmax : float
maximum value for zonal plot
"""
ZP = ZonalPlot(ax=self.zax, dir='y')
if self.x.ndim == 2:
pass
elif self.x.ndim == 3:
nt, ny, nx = self.x.shape
ZP.plot(self.x, timmean=timmean, show_ylabel=False)
# set limits
if ((vmin is None) & (vmax is None)):
vmin = self.zax.get_xlim()[0]
vmax = self.zax.get_xlim()[1]
# symmetry if neg. and positive limits
if (vmin < 0.) & (vmax > 0.):
val = max(abs(vmin), abs(vmax))
vmin = -val
vmax = val
if vmin is None:
vmin = self.zax.get_xlim()[0]
if vmax is None:
vmax = self.zax.get_xlim()[1]
self.zax.set_xlim(vmin, vmax)
# set only first and last label
self.zax.set_xticks([vmin, vmax])
self.zax.plot([0, 0], self.zax.get_ylim(), linestyle='-',
color='grey')
for tick in self.zax.xaxis.get_major_ticks():
tick.label.set_fontsize(fontsize)
def _draw_zonal_plot(self, timmean=True, vmin=None, vmax=None,
fontsize=8):
"""
calculate zonal statistics and add to zonal axis
Parameters
----------
timmean : bool
temporal mean for zonal plot [default=True]
vmin : float
minimum value for zonal plot
vmax : float
maximum value for zonal plot
"""
ZP = ZonalPlot(ax=self.zax, dir='y')
if self.x.ndim == 2:
pass
elif self.x.ndim == 3:
nt, ny, nx = self.x.shape
ZP.plot(self.x, timmean=timmean, show_ylabel=False)
# set limits
if ((vmin is None) & (vmax is None)):
vmin = self.zax.get_xlim()[0]
vmax = self.zax.get_xlim()[1]
# symmetry if neg. and positive limits
if (vmin < 0.) & (vmax > 0.):
val = max(abs(vmin), abs(vmax))
vmin = -val
vmax = val
if vmin is None:
vmin = self.zax.get_xlim()[0]
if vmax is None:
vmax = self.zax.get_xlim()[1]
self.zax.set_xlim(vmin, vmax)
# set only first and last label
self.zax.set_xticks([vmin, vmax])
self.zax.plot([0, 0], self.zax.get_ylim(), linestyle='-',
color='grey')
for tick in self.zax.xaxis.get_major_ticks():
tick.label.set_fontsize(fontsize)
map_plot(R, use_basemap=True, ax=ax1)
map_plot(S, use_basemap=True, ax=ax2)
map_plot(I, use_basemap=True, ax=ax3)
map_plot(P, use_basemap=True, ax=ax4)
f.suptitle('Example of temporal correlation analysis results', size=20)
print 'Calculate climatology and plot ...'
# get_climatology() returns 12 values which are then used for plotting
map_season(D.get_climatology(return_object=True), use_basemap=True, vmin=-20., vmax=30.)
print 'Map difference between datasets ...'
map_difference(D, P)
print 'ZonalPlot ...'
Z=ZonalPlot()
Z.plot(D)
#~ print 'Hovmoeller diagrams ...'
#~ hm = HovmoellerPlot(D)
#~ hm.plot(climits=[-20.,30.])
#~ print '... generate Hovmoeller plot from deseasonalized anomalies'
#~ ha=HovmoellerPlot(D.get_deseasonalized_anomaly(base='all'))
#~ ha.plot(climits=[-2.,2.], cmap='RdBu_r')
plt.show()
r = raw_input("Press Enter to continue...")
plt.close('all')
def test_ZonalPlot(self):
Z = ZonalPlot()
Z.plot(self.D)
def test_ZonalPlot(self):
Z = ZonalPlot()
Z.plot(self.D)
map_plot(I, use_basemap=True, ax=ax3)
map_plot(P, use_basemap=True, ax=ax4)
f.suptitle('Example of temporal correlation analysis results', size=20)
print 'Calculate climatology and plot ...'
# get_climatology() returns 12 values which are then used for plotting
map_season(D.get_climatology(return_object=True),
use_basemap=True,
vmin=-20.,
vmax=30.)
print 'Map difference between datasets ...'
map_difference(D, P)
print 'ZonalPlot ...'
Z = ZonalPlot()
Z.plot(D)
#~ print 'Hovmoeller diagrams ...'
#~ hm = HovmoellerPlot(D)
#~ hm.plot(climits=[-20.,30.])
#~ print '... generate Hovmoeller plot from deseasonalized anomalies'
#~ ha=HovmoellerPlot(D.get_deseasonalized_anomaly(base='all'))
#~ ha.plot(climits=[-2.,2.], cmap='RdBu_r')
plt.show()
r = raw_input("Press Enter to continue...")
plt.close('all')
