Python - Remove a row from numpy array?

Hi all what I w开发者_如何转开发an't should be really simple for somebody here..I want to remove a row from a numpy array in a loop like:

for i in range(len(self.Finalweight)):
        if self.Finalweight[i] >= self.cutoffOutliers:
            "remove line[i from self.wData"

I'm trying to remove outliers from a dataset. My full code os the method is like:

def calculate_Outliers(self):
    def calcWeight(Value):
        pFinal = abs(Value - self.pMed)/ self.pDev_abs_Med
        gradFinal = abs(gradient(Value) - self.gradMed) / self.gradDev_abs_Med
        return pFinal * gradFinal

    self.pMed = median(self.wData[:,self.yColum-1])
    self.pDev_abs_Med = median(abs(self.wData[:,self.yColum-1] - self.pMed))
    self.gradMed = median(gradient(self.wData[:,self.yColum-1]))
    self.gradDev_abs_Med = median(abs(gradient(self.wData[:,self.yColum-1]) - self.gradMed))    
    self.workingData= self.wData[calcWeight(self.wData)<self.cutoffOutliers]

    self.xData = self.workingData[:,self.xColum-1]
    self.yData = self.workingData[:,self.yColum-1]

I'm getting the following error:

ile "bin/dmtools", line 201, in plot_gride self.calculate_Outliers() File "bin/dmtools", line 188, in calculate_Outliers self.workingData= self.wData[calcWeight(self.wData)>self.cutoffOutliers] ValueError: too many indices for array

---

There is actually a tool in NumPy specifically made to mask out outliers and invalid data points: masked arrays. Example from the linked page:

x = numpy.array([1, 2, 3, -1, 5])
mx = numpy.ma.masked_array(x, mask=[0, 0, 0, 1, 0])
print mx.mean()

prints

2.75