plt.fill_between nicht in Python arbeitet

Question

mir den folgenden Code in Python (Iris, numpy und matplotlib) (wo CCCma, CRU und UDel alle Würfel vorgegeben ist):

#We want to plot the mean for the whole region so we need a mean of all the lats and lons 
CCCma_mean = CCCma.collapsed(['latitude', 'longitude'], iris.analysis.MEAN, weights=CCCma_grid_areas) 
CRU_mean = CRU.collapsed(['latitude', 'longitude'], iris.analysis.MEAN, weights=CRU_grid_areas)            
UDel_mean = UDel.collapsed(['latitude', 'longitude'], iris.analysis.MEAN, weights=UDel_grid_areas)             


#PART 4: PLOT LINE GRAPH 
#limit x axis  
plt.xlim((1990,2008))  

#assign the line colours 
qplt.plot(CCCma_mean.coord('year'), CCCma_mean, label='CanRCM4_ERAINT', lw=1.5, color='blue') 
qplt.plot(CRU_mean.coord('year'), CRU_mean, label='Observed_CRU', lw=2, color='black') 
qplt.plot(UDel_mean.coord('year'), UDel_mean, label='Observed_UDel', lw=2, color='black', linestyle='--') 

#create a legend and set its location to under the graph 
plt.legend(loc="upper center", bbox_to_anchor=(0.5,-0.05), fancybox=True, shadow=True, ncol=2) 

#create a title 
plt.title('Mean Near Surface Temperature for Malawi 1989-2008', fontsize=11) 

#add grid lines 
plt.grid() 

#save the image of the graph and include full legend 
#plt.savefig('ERAINT_Temperature_LineGraph_Annual', bbox_inches='tight') 

#show the graph in the console 
iplt.show() 

Dies schafft diesen schönen Graph

Was ich tun möchte, ist die Fläche (Schatten) zwischen den beiden beobachteten Datensätze ausfüllen. Ich habe versucht, diesen Code hinzuzufügen:

#fill error area for observed data 
x = np.arange(1990,2008,1)  
plt.fill_between(x, CRU_mean, UDel_mean, color='grey', alpha='0.5') 

Aber wenn ich es tue, wird keine Füllung hinzugefügt, die Legende verschwindet und dieser Fehler kommt:

File "/exports/csce/datastore/geos/users/s0XXXX/Climate_Modelling/Python_Code_and_Output_Images/Templates/Line_Graph_Tas_Template_Annual_Only.py", line 116, in main 
    plt.fill_between(x, CRU_mean, UDel_mean, color='grey', alpha='0.5') 

    File "/scratch/s0XXXX/anaconda/lib/python2.7/site-packages/matplotlib/pyplot.py", line 2896, in fill_between 
    **kwargs) 

    File "/scratch/s0XXXX/anaconda/lib/python2.7/site-packages/matplotlib/__init__.py", line 1819, in inner 
    return func(ax, *args, **kwargs) 

    File "/scratch/s0XXXX/anaconda/lib/python2.7/site-packages/matplotlib/axes/_axes.py", line 4582, in fill_between 
    y1 = ma.masked_invalid(self.convert_yunits(y1)) 

    File "/scratch/s0XXXX/anaconda/lib/python2.7/site-packages/numpy/ma/core.py", line 2388, in masked_invalid 
    condition = ~(np.isfinite(a)) 

TypeError: ufunc 'isfinite' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe'' 

Irgendwelche Ideen, wie man das Problem lösen?

Answer 1

Das Problem ist, dass Sie Iris Cubes in eine Matlpotlib-Funktion übergeben. Sie müssen stattdessen die data Arrays der Cubes eingeben.