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authorDrew Parsons <dparsons@debian.org>2023-06-18 01:28:26 +0200
committerDrew Parsons <dparsons@debian.org>2023-06-18 01:28:26 +0200
commit674766cdfbaa2af7d70e058f76d0d0642ac9d9f2 (patch)
tree6ea9557c2e132813c78e589c265c81a06164c246 /doc/builtin_models.rst
parent982032378ea7e5228977ccd9977e6ae848e132e4 (diff)
New upstream version 1.2.1
Diffstat (limited to 'doc/builtin_models.rst')
-rw-r--r--doc/builtin_models.rst3
1 files changed, 3 insertions, 0 deletions
diff --git a/doc/builtin_models.rst b/doc/builtin_models.rst
index 0aaa172..ea0d6f9 100644
--- a/doc/builtin_models.rst
+++ b/doc/builtin_models.rst
@@ -406,6 +406,7 @@ better? To do this, we simply replace ``GaussianModel`` with
.. jupyter-execute::
from lmfit.models import LorentzianModel
+
mod = LorentzianModel()
with the rest of the script as above. Perhaps predictably, the first thing
@@ -434,6 +435,7 @@ A Voigt model does a better job. Using :class:`VoigtModel`, this is as simple as
.. jupyter-execute::
from lmfit.models import VoigtModel
+
mod = VoigtModel()
with all the rest of the script as above. This gives:
@@ -617,6 +619,7 @@ That is, with::
return 0
return max(np.where(arrval <= value)[0])
+
ix1 = index_of(x, 75)
ix2 = index_of(x, 135)
ix3 = index_of(x, 175)