diff options
| author | Picca Frédéric-Emmanuel <picca@debian.org> | 2021-01-06 14:10:12 +0100 |
|---|---|---|
| committer | Picca Frédéric-Emmanuel <picca@debian.org> | 2021-01-06 14:10:12 +0100 |
| commit | b3bea947efa55d2c0f198b6c6795b3177be27f45 (patch) | |
| tree | 4116758aafe4483bf472c1d54b519e685737fd77 /doc/source/Tutorials | |
| parent | 5ad425ff4e62f5e003178813ebd073577679a00e (diff) | |
New upstream version 0.14.0+dfsg
Diffstat (limited to 'doc/source/Tutorials')
| -rw-r--r-- | doc/source/Tutorials/fit.rst | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/source/Tutorials/fit.rst b/doc/source/Tutorials/fit.rst index b1b28e5..d9671f4 100644 --- a/doc/source/Tutorials/fit.rst +++ b/doc/source/Tutorials/fit.rst @@ -234,7 +234,7 @@ the previous tutorial (See `Weighted fit`_) from silx.math.fit.fitmanager import FitManager # Create synthetic data with a sum of gaussian functions - x = numpy.arange(1000).astype(numpy.float) + x = numpy.arange(1000).astype(numpy.float64) y = 2.4 * x**4 - 10. * x**3 + 15.2 * x**2 - 24.6 * x + 150. # define our fit function: a generic polynomial of degree 4 @@ -304,7 +304,7 @@ data, generated using another *silx* module: :mod:`silx.math.fit.functions`. from silx.math.fit.fitmanager import FitManager # Create synthetic data with a sum of gaussian functions - x = numpy.arange(1000).astype(numpy.float) + x = numpy.arange(1000).astype(numpy.float64) # height, center x, fwhm p = [1000, 100., 250, # 1st peak @@ -526,7 +526,7 @@ Simple usage from silx.gui.fit import FitWidget from silx.math.fit.functions import sum_gauss - x = numpy.arange(2000).astype(numpy.float) + x = numpy.arange(2000).astype(numpy.float64) constant_bg = 3.14 # gaussian parameters: height, position, fwhm |