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-rw-r--r--silx/math/fit/fitmanager.py16
1 files changed, 8 insertions, 8 deletions
diff --git a/silx/math/fit/fitmanager.py b/silx/math/fit/fitmanager.py
index 2dc63a1..b60e073 100644
--- a/silx/math/fit/fitmanager.py
+++ b/silx/math/fit/fitmanager.py
@@ -727,12 +727,12 @@ class FitManager(object):
:param xmax: Upper value of x values to use for fitting
"""
if y is None:
- self.xdata0 = numpy.array([], numpy.float)
- self.ydata0 = numpy.array([], numpy.float)
- # self.sigmay0 = numpy.array([], numpy.float)
- self.xdata = numpy.array([], numpy.float)
- self.ydata = numpy.array([], numpy.float)
- # self.sigmay = numpy.array([], numpy.float)
+ self.xdata0 = numpy.array([], numpy.float64)
+ self.ydata0 = numpy.array([], numpy.float64)
+ # self.sigmay0 = numpy.array([], numpy.float64)
+ self.xdata = numpy.array([], numpy.float64)
+ self.ydata = numpy.array([], numpy.float64)
+ # self.sigmay = numpy.array([], numpy.float64)
else:
self.ydata0 = numpy.array(y)
@@ -886,7 +886,7 @@ class FitManager(object):
:return: Output of the fit function with ``x`` as input and ``pars``
as fit parameters.
"""
- result = numpy.zeros(numpy.shape(x), numpy.float)
+ result = numpy.zeros(numpy.shape(x), numpy.float64)
if self.selectedbg is not None:
bg_pars_list = self.bgtheories[self.selectedbg].parameters
@@ -1036,7 +1036,7 @@ def test():
from . import bgtheories
# Create synthetic data with a sum of gaussian functions
- x = numpy.arange(1000).astype(numpy.float)
+ x = numpy.arange(1000).astype(numpy.float64)
p = [1000, 100., 250,
255, 690., 45,