resolved conflicts

1 files changed, 8 insertions, 8 deletions

diff --git a/numpy/polynomial/laguerre.py b/numpy/polynomial/laguerre.py
index d3b6432dc..d9ca373dd 100644
--- a/numpy/polynomial/laguerre.py
+++ b/numpy/polynomial/laguerre.py
@@ -414,7 +414,7 @@ def lagmulx(c):
 
     .. math::
 
-    xP_i(x) = (-(i + 1)*P_{i + 1}(x) + (2i + 1)P_{i}(x) - iP_{i - 1}(x))
+        xP_i(x) = (-(i + 1)*P_{i + 1}(x) + (2i + 1)P_{i}(x) - iP_{i - 1}(x))
 
     Examples
     --------
@@ -1030,7 +1030,7 @@ def lagval3d(x, y, z, c):
     Returns
     -------
     values : ndarray, compatible object
-        The values of the multidimension polynomial on points formed with
+        The values of the multidimensional polynomial on points formed with
         triples of corresponding values from `x`, `y`, and `z`.
 
     See Also
@@ -1321,12 +1321,12 @@ def lagfit(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`.
 
@@ -1334,7 +1334,7 @@ def lagfit(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