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| author | Matti Picus <matti.picus@gmail.com> | 2019-04-15 21:05:17 +0300 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-04-15 21:05:17 +0300 |
| commit | cc94f360febdef0e6c4183c50555ba82e60ccff6 (patch) | |
| tree | e731b26d575865ca3f0667df4249e23218a46e5c /numpy/lib/polynomial.py | |
| parent | 741c8b4dc95e4fa8a2ba0d003611c9c874ec9cab (diff) | |
| parent | 26a8b418a9e19437d76b00be8a0a4f32aee68c4b (diff) | |
| download | numpy-cc94f360febdef0e6c4183c50555ba82e60ccff6.tar.gz | |
Merge pull request #13331 from rgommers/fix-docs
DOC, BLD: fix doc build issues in preparation for the next numpydoc release
Diffstat (limited to 'numpy/lib/polynomial.py')
| -rw-r--r-- | numpy/lib/polynomial.py | 15 |
1 files changed, 8 insertions, 7 deletions
diff --git a/numpy/lib/polynomial.py b/numpy/lib/polynomial.py index b55764b5d..8c6f69cb0 100644 --- a/numpy/lib/polynomial.py +++ b/numpy/lib/polynomial.py @@ -548,6 +548,7 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False): Examples -------- + >>> import warnings >>> x = np.array([0.0, 1.0, 2.0, 3.0, 4.0, 5.0]) >>> y = np.array([0.0, 0.8, 0.9, 0.1, -0.8, -1.0]) >>> z = np.polyfit(x, y, 3) @@ -566,9 +567,10 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False): High-order polynomials may oscillate wildly: - >>> p30 = np.poly1d(np.polyfit(x, y, 30)) - ... - >>> # RankWarning: Polyfit may be poorly conditioned... + >>> with warnings.catch_warnings(): + ... warnings.simplefilter('ignore', np.RankWarning) + ... p30 = np.poly1d(np.polyfit(x, y, 30)) + ... >>> p30(4) -0.80000000000000204 # may vary >>> p30(5) @@ -632,7 +634,7 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False): # warn on rank reduction, which indicates an ill conditioned matrix if rank != order and not full: msg = "Polyfit may be poorly conditioned" - warnings.warn(msg, RankWarning, stacklevel=2) + warnings.warn(msg, RankWarning, stacklevel=3) if full: return c, resids, rank, s, rcond @@ -874,8 +876,7 @@ def polymul(a1, a2): See Also -------- poly1d : A one-dimensional polynomial class. - poly, polyadd, polyder, polydiv, polyfit, polyint, polysub, - polyval + poly, polyadd, polyder, polydiv, polyfit, polyint, polysub, polyval convolve : Array convolution. Same output as polymul, but has parameter for overlap mode. @@ -937,7 +938,7 @@ def polydiv(u, v): See Also -------- - poly, polyadd, polyder, polydiv, polyfit, polyint, polymul, polysub, + poly, polyadd, polyder, polydiv, polyfit, polyint, polymul, polysub polyval Notes |