Python Transform.getQChi方法代碼示例

# 需要導入模塊: import Transform [as 別名]
# 或者: from Transform import getQChi [as 別名]
def addPeaksCakeImage(image,qLower,qUpper,numQ,chiLower,chiUpper,
        numChi,peakList,calibrationData,color,
        smallestRangeQLower,smallestRangeQUpper,smallestRangeChiLower,smallestRangeChiUpper):

    draw = ImageDraw.Draw(image)

    unZoomWidth = 2.5
    # scale the length of the xs. For example, zoomed in to 50% means will 
    # cause the xs to be drawn with double the length.
    numTimesZoomInQ = abs((smallestRangeQUpper-smallestRangeQLower)/ \
            (qUpper-qLower))

    numTimesZoomInChi = abs((smallestRangeChiUpper-smallestRangeChiLower)/ \
            (chiUpper-chiLower))

    scalingFactor = min(numTimesZoomInQ,numTimesZoomInChi)

    halflength = unZoomWidth*scalingFactor

    for x,y,qReal,qFit,chi,width in peakList:
        
        # for each peak, we want to take the true x,y value of
        # where the peak is on the image and figure out where
        # it belongs on the cake data.
        qTemp,chiTemp = Transform.getQChi(calibrationData,x,y)

        # if our chi range begins in the negative, we might have to place 
        # our chi values in their 360 degree rotated values. Note that
        # getQChi always returns chi between 0 and 360
        if (chiTemp-360) > chiLower and \
                (chiTemp-360) < chiUpper:
                chiTemp -= 360
            
        cakeX = (numQ-1)*(qTemp-qLower)/(qUpper-qLower)
        cakeY = (numChi-1)*(chiTemp-chiLower)/(chiUpper-chiLower)

        # add in new lines if they would be visible
        if cakeX >= 0 and cakeX < numQ and  \
                cakeY >= 0 and cakeY < numChi:

            draw.line( (cakeX-halflength,cakeY-halflength) +
                    (cakeX+halflength,cakeY+halflength),fill=color)

            draw.line( (cakeX+halflength,cakeY-halflength) +
                    (cakeX-halflength,cakeY+halflength),fill=color)

# 需要導入模塊: import Transform [as 別名]
# 或者: from Transform import getQChi [as 別名]
    def getSmallestRange(self,calibrationData):
        """ Get Smallest Range picks the smallest 
            range in the image which contains
            the whole diffraction image. 

            If the center of the beam is inside the 
            diffraction data, we know that there will
            be some of all chi so chi should very 
            from -180 to 180. Furthermore, we
            know that Q will vary from 0 to its max 
            which will be on a corner. So
            in that case, we can just look in the 
            corners to find the largets Q value.

            If the center of the image is ouside the 
            diffraction data, that all we know is
            that the extremum will be somewhere on 
            the edge of the image. In that case, we 
            have to loop through the entire border 
            to find the extremum
        """

        # check if it has already been calculated

        if self.lastCalibrationDataGetSmallsetRange != None:
            if calibrationData == self.lastCalibrationDataGetSmallsetRange:
                return self.lastRangeGetSmallestRange
            else:
                self.lastCalibrationDataGetSmallsetRange = None
                self.lastRangeGetSmallestRange = None

        # store value in case it changes.
        self.lastCalibrationDataGetSmallsetRange = copy.deepcopy(calibrationData)
            
        if calibrationData.getCenterX()['val'] < 0 or \
            calibrationData.getCenterX()['val']  > self.theDiffractionData.size-1 or \
            calibrationData.getCenterY()['val'] < 0 or \
            calibrationData.getCenterY()['val']  > self.theDiffractionData.size-1:

            qLower = None
            qUpper = None
            chiLower = None
            chiUpper = None

            for temp in range(self.theDiffractionData.size):
                # go around each edge of the image, finding the most extreme q and chi values
                q0,chi0 = Transform.getQChi(calibrationData,0,temp)
                q1,chi1 = Transform.getQChi(calibrationData,self.theDiffractionData.size-1,temp)
                q2,chi2 = Transform.getQChi(calibrationData,temp,0)
                q3,chi3 = Transform.getQChi(calibrationData,temp,self.theDiffractionData.size-1)

                lowerQ = min(q0,q1,q2,q3)
                higherQ = max(q0,q1,q2,q3)
                if qLower==None or lowerQ < qLower: qLower = lowerQ
                if qUpper==None or higherQ > qUpper: qUpper = higherQ

                if chi0 > 180: chi0 -=360
                if chi1 > 180: chi1 -=360
                if chi2 > 180: chi2 -=360
                if chi3 > 180: chi3 -=360

                lowerChi = min(chi0,chi1,chi2,chi3)
                higherChi = max(chi0,chi1,chi2,chi3)

                if chiLower==None or lowerChi < chiLower: chiLower = lowerChi
                if chiUpper==None or higherChi > chiUpper: chiUpper = higherChi

            tempRange = {'qLower':qLower,'qUpper':qUpper,'chiLower':chiLower,'chiUpper':chiUpper}
            self.lastRangeGetSmallestRange = tempRange
            return tempRange

        else:
            q0,chi0 = Transform.getQChi(calibrationData,0,0)
            q1,chi1 = Transform.getQChi(calibrationData,0,self.theDiffractionData.size-1)
            q2,chi2 = Transform.getQChi(calibrationData,self.theDiffractionData.size-1,0)
            q3,chi3 = Transform.getQChi(calibrationData,self.theDiffractionData.size-1,
                    self.theDiffractionData.size-1)

            qUpper = max(q0,q1,q2,q3)
            qUpper = float(str(qUpper)[:8])

            tempRange = {'qLower':0,'qUpper':qUpper,'chiLower':-180,'chiUpper':180}
            self.lastRangeGetSmallestRange = tempRange
            return tempRange