本文整理匯總了Python中MA.masked_values方法的典型用法代碼示例。如果您正苦於以下問題：Python MA.masked_values方法的具體用法？Python MA.masked_values怎麽用？Python MA.masked_values使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類MA的用法示例。
在下文中一共展示了MA.masked_values方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: NetCDFFile
# 需要導入模塊: import MA [as 別名]
# 或者: from MA import masked_values [as 別名]
# Open the netCDF files, get variables.
#
data_dir = Ngl.ncargpath("data")
ice1 = NetCDFFile(data_dir + "/cdf/fice.nc","r")
#
# Create a masked array to accommodate missing values in the fice variable.
#
fice = ice1.variables["fice"] # fice[120,49,100]
ficea = fice[:,:,:]
fill_value = None
if (hasattr(fice,"missing_value")):
fill_value = fice.missing_value
elif (hasattr(fice,"_FillValue")):
fill_value = fice._FillVlaue
fice_masked = MA.transpose(MA.masked_values(ficea,fill_value),(1,2,0))
hlat = ice1.variables["hlat"] # hlat[49]
hlon = ice1.variables["hlon"] # hlon[100]
dimf = fice.shape # Define an array to hold long-term monthly means.
ntime = fice.shape[0]
nhlat = fice.shape[1]
nhlon = fice.shape[2]
nmo = 0
month = nmo+1
icemon = MA.zeros((nhlat,nhlon),MA.Float0)
for i in xrange(fice_masked.shape[0]):