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author | Jack J. Woehr <jwoehr@softwoehr.com> | 2019-10-18 15:25:03 -0600 |
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committer | Jack J. Woehr <jwoehr@softwoehr.com> | 2019-10-18 15:25:03 -0600 |
commit | cc3da40d52cb46a346bf429b8d76d7fd59e29887 (patch) | |
tree | 3a0cf76b27723817e5520d877df1685ce7f4223d /numpy/lib/polynomial.py | |
parent | 4d4cc4dcf4feaa6c3162b0d07b0f687e477724ad (diff) | |
parent | c1f56c455252e4c2dd2535f0ce140125aff8ece2 (diff) | |
download | numpy-cc3da40d52cb46a346bf429b8d76d7fd59e29887.tar.gz |
Merge branch 'master' of https://github.com/numpy/numpy into einsum_c_buglet
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 |