diff options
Diffstat (limited to 'numpy/polynomial/chebyshev.py')
| -rw-r--r-- | numpy/polynomial/chebyshev.py | 20 |
1 files changed, 10 insertions, 10 deletions
diff --git a/numpy/polynomial/chebyshev.py b/numpy/polynomial/chebyshev.py index 210000ec4..2b3268aeb 100644 --- a/numpy/polynomial/chebyshev.py +++ b/numpy/polynomial/chebyshev.py @@ -131,9 +131,9 @@ chebtrim = pu.trimcoef # def _cseries_to_zseries(c): - """Covert Chebyshev series to z-series. + """Convert Chebyshev series to z-series. - Covert a Chebyshev series to the equivalent z-series. The result is + Convert a Chebyshev series to the equivalent z-series. The result is never an empty array. The dtype of the return is the same as that of the input. No checks are run on the arguments as this routine is for internal use. @@ -156,9 +156,9 @@ def _cseries_to_zseries(c): def _zseries_to_cseries(zs): - """Covert z-series to a Chebyshev series. + """Convert z-series to a Chebyshev series. - Covert a z series to the equivalent Chebyshev series. The result is + Convert a z series to the equivalent Chebyshev series. The result is never an empty array. The dtype of the return is the same as that of the input. No checks are run on the arguments as this routine is for internal use. @@ -1598,12 +1598,12 @@ def chebfit(x, y, deg, rcond=None, full=False, w=None): `k`. [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`. @@ -1611,7 +1611,7 @@ def chebfit(x, y, deg, rcond=None, full=False, w=None): ----- RankWarning The rank of the coefficient matrix in the least-squares fit is - deficient. The warning is only raised if `full` = False. The + deficient. The warning is only raised if ``full == False``. The warnings can be turned off by >>> import warnings |