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-rw-r--r--numpy/polynomial/polynomial.py12
1 files changed, 6 insertions, 6 deletions
diff --git a/numpy/polynomial/polynomial.py b/numpy/polynomial/polynomial.py
index d8a032068..2fead88ab 100644
--- a/numpy/polynomial/polynomial.py
+++ b/numpy/polynomial/polynomial.py
@@ -1268,12 +1268,12 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None):
fit to the data in `y`'s `k`-th column.
[residuals, rank, singular_values, rcond] : list
- These values are only returned if `full` = True
+ These values are only returned if ``full == True``
- resid -- sum of squared residuals of the least squares fit
- rank -- the numerical rank of the scaled Vandermonde matrix
- sv -- singular values of the scaled Vandermonde matrix
- rcond -- value of `rcond`.
+ - residuals -- sum of squared residuals of the least squares fit
+ - rank -- the numerical rank of the scaled Vandermonde matrix
+ - singular_values -- singular values of the scaled Vandermonde matrix
+ - rcond -- value of `rcond`.
For more details, see `numpy.linalg.lstsq`.
@@ -1281,7 +1281,7 @@ def polyfit(x, y, deg, rcond=None, full=False, w=None):
------
RankWarning
Raised if the matrix in the least-squares fit is rank deficient.
- The warning is only raised if `full` == False. The warnings can
+ The warning is only raised if ``full == False``. The warnings can
be turned off by:
>>> import warnings