From 8599fe0abc88f584ee45b54654833cdccefc3cd0 Mon Sep 17 00:00:00 2001
From: Albert Villanova del Moral
 <8515462+albertvillanova@users.noreply.github.com>
Date: Fri, 4 Sep 2020 20:23:42 +0200
Subject: Fix docstring cross-referencing

---
 numpy/polynomial/hermite.py | 28 ++++++++++++++++++++++------
 1 file changed, 22 insertions(+), 6 deletions(-)

(limited to 'numpy/polynomial/hermite.py')

diff --git a/numpy/polynomial/hermite.py b/numpy/polynomial/hermite.py
index 280cad39e..c679c5298 100644
--- a/numpy/polynomial/hermite.py
+++ b/numpy/polynomial/hermite.py
@@ -233,7 +233,11 @@ def hermline(off, scl):
 
     See Also
     --------
-    polyline, chebline
+    numpy.polynomial.polynomial.polyline
+    numpy.polynomial.chebyshev.chebline
+    numpy.polynomial.legendre.legline
+    numpy.polynomial.laguerre.lagline
+    numpy.polynomial.hermite_e.hermeline
 
     Examples
     --------
@@ -286,7 +290,11 @@ def hermfromroots(roots):
 
     See Also
     --------
-    polyfromroots, legfromroots, lagfromroots, chebfromroots, hermefromroots
+    numpy.polynomial.polynomial.polyfromroots
+    numpy.polynomial.legendre.legfromroots
+    numpy.polynomial.laguerre.lagfromroots
+    numpy.polynomial.chebyshev.chebfromroots
+    numpy.polynomial.hermite_e.hermefromroots
 
     Examples
     --------
@@ -1322,7 +1330,7 @@ def hermfit(x, y, deg, rcond=None, full=False, w=None):
         sv -- singular values of the scaled Vandermonde matrix
         rcond -- value of `rcond`.
 
-        For more details, see `linalg.lstsq`.
+        For more details, see `numpy.linalg.lstsq`.
 
     Warns
     -----
@@ -1336,11 +1344,15 @@ def hermfit(x, y, deg, rcond=None, full=False, w=None):
 
     See Also
     --------
-    chebfit, legfit, lagfit, polyfit, hermefit
+    numpy.polynomial.chebyshev.chebfit
+    numpy.polynomial.legendre.legfit
+    numpy.polynomial.laguerre.lagfit
+    numpy.polynomial.polynomial.polyfit
+    numpy.polynomial.hermite_e.hermefit
     hermval : Evaluates a Hermite series.
     hermvander : Vandermonde matrix of Hermite series.
     hermweight : Hermite weight function
-    linalg.lstsq : Computes a least-squares fit from the matrix.
+    numpy.linalg.lstsq : Computes a least-squares fit from the matrix.
     scipy.interpolate.UnivariateSpline : Computes spline fits.
 
     Notes
@@ -1457,7 +1469,11 @@ def hermroots(c):
 
     See Also
     --------
-    polyroots, legroots, lagroots, chebroots, hermeroots
+    numpy.polynomial.polynomial.polyroots
+    numpy.polynomial.legendre.legroots
+    numpy.polynomial.laguerre.lagroots
+    numpy.polynomial.chebyshev.chebroots
+    numpy.polynomial.hermite_e.hermeroots
 
     Notes
     -----
-- 
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