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Diffstat (limited to 'doc/source/reference/routines.polynomials.rst')
| -rw-r--r-- | doc/source/reference/routines.polynomials.rst | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/doc/source/reference/routines.polynomials.rst b/doc/source/reference/routines.polynomials.rst index da481ae4c..ecfb012f0 100644 --- a/doc/source/reference/routines.polynomials.rst +++ b/doc/source/reference/routines.polynomials.rst @@ -118,9 +118,9 @@ example, consider a simple linear fit to the following data: .. ipython:: python - rg = np.random.default_rng() + rng = np.random.default_rng() x = np.arange(10) - y = np.arange(10) + rg.standard_normal(10) + y = np.arange(10) + rng.standard_normal(10) With the legacy polynomial module, a linear fit (i.e. polynomial of degree 1) could be applied to these data with `~numpy.polyfit`: |