diff options
| author | Ralf Gommers <ralf.gommers@gmail.com> | 2019-10-18 11:14:59 +0200 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2019-10-18 11:14:59 +0200 |
| commit | 49deaff355356f491725d1f304da9e4f2e30ee76 (patch) | |
| tree | 82c0610a6c920c30fc80be134c8955bdedf1b762 /numpy/lib/polynomial.py | |
| parent | d8a7c44b33221bb7b6fd926c93a9bca38ca45f69 (diff) | |
| parent | 5b4eee07263ea909d52488509bbaa95f3ee19972 (diff) | |
| download | numpy-49deaff355356f491725d1f304da9e4f2e30ee76.tar.gz | |
Merge pull request #14629 from sethtroisi/polyfit_doc
DOC: clarify residual in np.polyfit
Diffstat (limited to 'numpy/lib/polynomial.py')
| -rw-r--r-- | numpy/lib/polynomial.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/numpy/lib/polynomial.py b/numpy/lib/polynomial.py index 2c72f623c..3d07a0de4 100644 --- a/numpy/lib/polynomial.py +++ b/numpy/lib/polynomial.py @@ -479,10 +479,10 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None, cov=False): coefficients for `k`-th data set are in ``p[:,k]``. residuals, rank, singular_values, rcond - Present only if `full` = True. Residuals of the least-squares fit, - the effective rank of the scaled Vandermonde coefficient matrix, - its singular values, and the specified value of `rcond`. For more - details, see `linalg.lstsq`. + Present only if `full` = True. Residuals is sum of squared residuals + of the least-squares fit, the effective rank of the scaled Vandermonde + coefficient matrix, its singular values, and the specified value of + `rcond`. For more details, see `linalg.lstsq`. V : ndarray, shape (M,M) or (M,M,K) Present only if `full` = False and `cov`=True. The covariance |