本文整理汇总了Python中MA.masked_greater方法的典型用法代码示例。如果您正苦于以下问题：Python MA.masked_greater方法的具体用法？Python MA.masked_greater怎么用？Python MA.masked_greater使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类MA的用法示例。
在下文中一共展示了MA.masked_greater方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _getMaskedArray
# 需要导入模块: import MA [as 别名]
# 或者: from MA import masked_greater [as 别名]
def _getMaskedArray(self, var, flagVar=None, flagValues=(0, 1), missingValuesToTest=(-9999.0, -32767.0)):
"""
Returns a masked array that has the values only present where the flag
values are acceptable and the data itself is not missing.
"""
if flagVar:
flagFillValue = -1
flagGTValue = max(flagValues)
flagMaskWhereUnacceptable = MA.masked_greater(flagVar, flagGTValue).mask()
flagMaskWhereMissing = MA.masked_equal(flagVar, flagFillValue).mask()
flagMask = flagMaskWhereUnacceptable + flagMaskWhereMissing
for fv in missingValuesToTest:
if fv in MV.ravel(var):
print "Setting missing value for '%s' as: %s" % (var.id, fv)
varFillValue = fv
else:
varFillValue = missingValuesToTest[0]
if flagVar:
varMask = MA.masked_array(var, mask=MA.equal(var, varFillValue), fill_value=varFillValue).mask()
fullmask = MA.bitwise_or(varMask, flagMask)
maskedArray = MA.masked_array(var, mask=fullmask, fill_value=varFillValue)
else:
maskedArray = MA.masked_array(var, mask=MA.equal(var, varFillValue), fill_value=varFillValue)
# maskedArray=cdms.createVariable(maskedArray, id=var.id, fill_value=varFillValue)
# maskedArray.missing_value=varFillValue
return maskedArray示例2: x
# 需要导入模块: import MA [as 别名]
# 或者: from MA import masked_greater [as 别名]
# Finally just for fun let's place a big red "Sample" accross it
x.add_string(0.5,0.5,'Sample',color='red',char_size=9,rot=55,just=14)
# And plot these babies:
x.plot([Y1,Y2,Y3,zero],xs=[X,X,X,[0.,2.*MA.pi]]) # You MUST pass a list of slab, even if only one slab
# or you can plot then 1 by 1
# first let's clear
x('kill G0.S0')
x('kill G0.S1')
x('kill G1.S0')
x('kill G1.S1')
# Now the tan is pretty ugly because of extreme let's mask everything
# that is greater than 1.5 and redraw that
Y3=MA.masked_greater(Y3,1.5)
# Also we're going to add error bars 10% of the value
# dx for the sin
YY1=MA.zeros((2,npoints),typecode=MA.Float)
YY1[0]=Y1
YY1[1]=Y1*.1
x.Graph[0].Set[0].type='xydx'
x.Graph[0].Set[0].errorbar.status='on'
x.Graph[0].Set[0].errorbar.color='red'
# dy for the cos
YY2=MA.zeros((2,npoints),typecode=MA.Float)
YY2[0]=Y2
YY2[1]=Y2*.1
x.Graph[0].Set[1].type='xydy'
x.Graph[0].Set[1].errorbar.status='on'