[core][mapping] Cast to float64 for applying median filter

darfix/core/mapping.py

@@ -26,7 +26,7 @@
 
 __authors__ = ["J. Garriga"]
 __license__ = "MIT"
-__date__ = "22/02/2020"
+__date__ = "27/05/2021"
 
 import numpy
 try:
@@ -138,11 +138,11 @@ def compute_moments(values, data):
     stack = [values[i] * data[i] for i in range(len(data))]
     zsum = numpy.sum(data, axis=0)
     com = numpy.sum(stack, axis=0) / zsum
-    com = medfilt2d(com)
+    com = medfilt2d(com.astype(numpy.float64))
     com[numpy.isnan(com)] = numpy.min(com[~numpy.isnan(com)])
     repeat_values = numpy.repeat(values, com.shape[0] * com.shape[1]).reshape(len(values), com.shape[0], com.shape[1])
     std = numpy.sqrt(numpy.sum((data[i] * ((repeat_values[i] - com)**2) for i in range(len(data))), axis=0)) / zsum
-    std = medfilt2d(std)
+    std = medfilt2d(std.astype(numpy.float64))
     std[numpy.isnan(std)] = numpy.min(std[~numpy.isnan(std)])
     skews = skew(stack, axis=0)
     kurt = kurtosis(stack, axis=0)