def plotCorrDiff(array1, array2, title, filepath):
"""
A function to produce plots of correlation differences.
Parameters:
-----------
array1 : observational dataset. Output of corr()
array2 : modelled dataset. Output of corr()
"""
corrDiff_array = corrDiff(array1, array2)
if corrDiff_array != None:
Dict6 = mapCorr()
myplot = plot(corrDiff_array,
Dict6,
labels=False,
grid=False,
oceans=False,
cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot, title, filepath)
else:
array = np.zeros((27, 22))
Dict6 = mapCorr()
myplot = plot(array,
Dict6,
labels=False,
grid=False,
oceans=False,
cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot, title, filepath)
return
def plotStrat(stratAv,precip_data,title,filepath):
"""
A function to produce plots of stratified data.
"""
var = ma.masked_invalid(stratAv)
dict7 = mapComposite(precip_data)
myplot = plot(var,dict7,labels=False,grid=False,oceans=False,cbar=False)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot,title,filepath)
return
def plotStratStandardised(data,precip_data,title,filepath):
"""
A function to produce standardised plots of stratified rainfall data.
"""
var = ma.masked_invalid(data)
dict10 = mapDifference(precip_data)
myplot = plot(var,dict10,labels=False,grid=False,oceans=False,cbar=False)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot,title,filepath)
return
def plotStratDiff(stratAv,precip_data,title,filepath):
"""
A function to produce precipitation difference maps (between
wet and dry phases of the ENSO and IPO).
"""
var = ma.masked_invalid(stratAv)
dict9 = mapDifference(precip_data)
myplot = plot(var,dict9,labels=False,grid=False,oceans=False,cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot,title,filepath)
return
def plotCorr(rainfall,index,title,filepath):
"""
A function to produce plots of correlations.
"""
var = corr(rainfall,index)
var2 = ma.masked_invalid(var)
Dict6 = mapCorr()
myplot = plot(var2,Dict6,labels=False,grid=False,oceans=False,cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot,title,filepath)
return
def plotCorrStratified(rainfall,index,title,filepath):
"""
A function to produce plots of correlations between
one index and stratified (according to a second index) precipitation data.
"""
var = corr(rainfall,index)
var2 = ma.masked_invalid(var)
Dict6 = mapCorrStratified(var2)
myplot = plot(var2,Dict6,labels=False,grid=False,oceans=False,cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot,title,filepath)
return
def plotStrat(stratAv, precip_data, title, filepath):
"""
A function to produce plots of stratified data.
"""
var = ma.masked_invalid(stratAv)
dict7 = mapComposite(precip_data)
myplot = plot(var,
dict7,
labels=False,
grid=False,
oceans=False,
cbar=False)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot, title, filepath)
return
def plotStratStandardised(data, precip_data, title, filepath):
"""
A function to produce standardised plots of stratified rainfall data.
"""
var = ma.masked_invalid(data)
dict10 = mapDifference(precip_data)
myplot = plot(var,
dict10,
labels=False,
grid=False,
oceans=False,
cbar=False)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot, title, filepath)
return
def plotCorr(rainfall, index, title, filepath):
"""
A function to produce plots of correlations.
"""
var = corr(rainfall, index)
var2 = ma.masked_invalid(var)
Dict6 = mapCorr()
myplot = plot(var2,
Dict6,
labels=False,
grid=False,
oceans=False,
cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot, title, filepath)
return
def plotStratDiff(stratAv, precip_data, title, filepath):
"""
A function to produce precipitation difference maps (between
wet and dry phases of the ENSO and IPO).
"""
var = ma.masked_invalid(stratAv)
dict9 = mapDifference(precip_data)
myplot = plot(var,
dict9,
labels=False,
grid=False,
oceans=False,
cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot, title, filepath)
return
def plotCorrStratified(rainfall, index, title, filepath):
"""
A function to produce plots of correlations between
one index and stratified (according to a second index) precipitation data.
"""
var = corr(rainfall, index)
var2 = ma.masked_invalid(var)
Dict6 = mapCorrStratified(var2)
myplot = plot(var2,
Dict6,
labels=False,
grid=False,
oceans=False,
cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot, title, filepath)
return
def plotCorrDiff(array1,array2,title,filepath):
"""
A function to produce plots of correlation differences.
Parameters:
-----------
array1 : observational dataset. Output of corr()
array2 : modelled dataset. Output of corr()
"""
corrDiff_array = corrDiff(array1,array2)
if corrDiff_array != None:
Dict6 = mapCorr()
myplot = plot(corrDiff_array,Dict6,labels=False,grid=False,oceans=False,cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot,title,filepath)
else:
array = np.zeros((27,22))
Dict6 = mapCorr()
myplot = plot(array,Dict6,labels=False,grid=False,oceans=False,cbar=True)
reload(maps_sub)
from maps_sub import saveFig
saveFig(myplot,title,filepath)
return
