mirror of https://github.com/silx-kit/pyFAI.git
fix numpy based histogram ... for now
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4f109c354a
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@ -217,7 +217,7 @@ class AzimuthalIntegrator(Geometry):
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open(filename, "w").writelines(["%s\t%s%s" % (t, i, os.linesep) for t, i in zip(tthAxis, I)])
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return tthAxis, I
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@timeit
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# @timeit
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def xrpd_splitBBox(self, data, nbPt, filename=None, correctSolidAngle=True,
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tthRange=None, chiRange=None, mask=None, dummy=None, delta_dummy=None):
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"""
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@ -336,7 +336,7 @@ class AzimuthalIntegrator(Geometry):
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#Default implementation:
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xrpd = xrpd_splitBBox
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@timeit
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# @timeit
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def xrpd_OpenCL(self, data, nbPt, filename=None, correctSolidAngle=True,
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tthRange=None, mask=None, dummy=None, delta_dummy=None,
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devicetype="all", useFp64=True, platformid=None, deviceid=None, safe=True):
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@ -474,9 +474,9 @@ class AzimuthalIntegrator(Geometry):
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ref, binsChi, bins2Th = numpy.histogram2d(chi, tth, bins=list(bins))
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self._nbPixCache[bins] = numpy.maximum(1.0, ref)
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if correctSolidAngle:
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data = (data / self.solidAngleArray(data.shape))[mask]
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data = (data / self.solidAngleArray(data.shape))[mask].astype("float64")
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else:
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data = data[mask]
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data = data[mask].astype("float64")
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if tthRange is not None:
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tthRange = [numpy.deg2rad(i) for i in tthRange]
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else:
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@ -488,8 +488,9 @@ class AzimuthalIntegrator(Geometry):
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val, binsChi, bins2Th = numpy.histogram2d(chi, tth,
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bins=list(bins),
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weights=data,
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range=[chiRange, tthRange])
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weights=data)
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# ,
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# range=[chiRange, tthRange])
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I = val / self._nbPixCache[bins]
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return I, bins2Th, binsChi
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