Python Iris繪制平均NetCDF數據

Question

我試圖繪制一些NetCDF文件的輸出以及所有文件的平均值。 我已經成功繪制了NetCDF文件本身，如下所示（其中CCCmaYR_mean，CLMcomYR_mean，DMIYR_mean，KNMIYR_mean，MPIYR_mean，SMHIYR_mean，CRUYR_mean和UDelYR_mean都是預定義的NetCDF文件）

#PART 4: PLOT LINE GRAPH
#set x-axis ticks                                                                                            
plt.xticks(range(12), calendar.month_abbr[0:12]) 

#assign the line colours and set x axis to 'month' rather than 'time'
qplt.plot(CCCmaYR_mean.coord('month_number'), CCCmaYR_mean, label='CanRCM4_ERAINT', lw=1.5, color='blue')
qplt.plot(CLMcomYR_mean.coord('month_number'), CLMcomYR_mean, label='CCLM4-8-17_ERAINT', lw=1.5, color='green')
qplt.plot(DMIYR_mean.coord('month_number'), DMIYR_mean, label='HIRHAM5_ERAINT', lw=1.5, color='red')
qplt.plot(KNMIYR_mean.coord('month_number'), KNMIYR_mean, label='RACMO22T_ERAINT', lw=1.5, color='cyan')
qplt.plot(MPIYR_mean.coord('month_number'), MPIYR_mean, label='REMO2009_ERAINT', lw=1.5, color='magenta')
qplt.plot(SMHIYR_mean.coord('month_number'), SMHIYR_mean, label='RCA4_ERAINT', lw=1.5, color='yellow')   
qplt.plot(CRUYR_mean.coord('month_number'), CRUYR_mean, label='Observed_CRU', lw=2, color='grey')
qplt.plot(UDelYR_mean.coord('month_number'), UDelYR_mean, label='Observed UDel', lw=2, color='grey', linestyle = '--')

#set a title for the y axis
plt.ylabel('Near-Surface Temperature (degrees Celsius)')

#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 by Month 1990-2008', fontsize=11)   

#add grid lines
plt.grid()

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

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

這給了我下圖：

為了創建平均值，我添加了以下代碼：

 ##Create an average CORDEX and some x coordinates
AverageY = (CCCmaYR_mean.data + CLMcomYR_mean.data + DMIYR_mean.data + KNMIYR_mean.data + MPIYR_mean.data + SMHIYR_mean.data)/6.
AverageX = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']

然后將以下內容與上面顯示的其他qplot.plot代碼一起包含。

qplt.plot(AverageX, AverageY, label='AverageY', lw=1.5, color='black')

這給了我以下錯誤：

AttributeError: 'list' object has no attribute 'ndim'

我也嘗試過如下定義AverageX：

AverageX = np.arange(0,12,1)

這給出了這個錯誤：

TypeError: Plot arguments must be cubes or coordinates.

我確定我做的事情確實很傻，但是有人可以告訴我這是什么！

Answer 1

@RuthC在上面的評論中回答。

通過添加來修復它

將numpy導入為np

並將我的Y數據定義為：AverageY =（CCCmaYR_mean.data + CLMcomYR_mean.data + DMIYR_mean.data + KNMIYR_mean.data + MPIYR_mean.data + SMHIYR_mean.data）/ 6。

我的X數據為：AverageX = np.arange（1,13,1）

然后將其繪制為：plt.plot（AverageX，AverageY，label ='Average'，lw = 1.5，color ='black'）