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Diffstat (limited to 'examples/example_two_dimensional_peak.py')
| -rw-r--r-- | examples/example_two_dimensional_peak.py | 1 |
1 files changed, 1 insertions, 0 deletions
diff --git a/examples/example_two_dimensional_peak.py b/examples/example_two_dimensional_peak.py index 96612bd..8b732fc 100644 --- a/examples/example_two_dimensional_peak.py +++ b/examples/example_two_dimensional_peak.py @@ -19,6 +19,7 @@ from lmfit.lineshapes import gaussian2d, lorentzian # depends on coordinates `(x, y)`. The most general case of experimental # data will be irregularly sampled and noisy. Let's simulate some: npoints = 10000 +np.random.seed(2021) x = np.random.rand(npoints)*10 - 4 y = np.random.rand(npoints)*5 - 3 z = gaussian2d(x, y, amplitude=30, centerx=2, centery=-.5, sigmax=.6, sigmay=.8) |