DOC: imbalanced backticks (#21020)

2 files changed, 2 insertions, 2 deletions

diff --git a/numpy/core/code_generators/ufunc_docstrings.py b/numpy/core/code_generators/ufunc_docstrings.py
index 24e2eef3f..d9035fbab 100644
--- a/numpy/core/code_generators/ufunc_docstrings.py
+++ b/numpy/core/code_generators/ufunc_docstrings.py
@@ -4048,7 +4048,7 @@ add_newdoc('numpy.core.umath', 'frexp',
     """
     Decompose the elements of x into mantissa and twos exponent.
 
-    Returns (`mantissa`, `exponent`), where `x = mantissa * 2**exponent``.
+    Returns (`mantissa`, `exponent`), where ``x = mantissa * 2**exponent``.
     The mantissa lies in the open interval(-1, 1), while the twos
     exponent is a signed integer.
 
diff --git a/numpy/polynomial/polynomial.py b/numpy/polynomial/polynomial.py
index 3c2663b6c..b4741355f 100644
--- a/numpy/polynomial/polynomial.py
+++ b/numpy/polynomial/polynomial.py
@@ -772,7 +772,7 @@ def polyvalfromroots(x, r, tensor=True):
 
     If `r` is a 1-D array, then `p(x)` will have the same shape as `x`.  If `r`
     is multidimensional, then the shape of the result depends on the value of
-    `tensor`. If `tensor is ``True`` the shape will be r.shape[1:] + x.shape;
+    `tensor`. If `tensor` is ``True`` the shape will be r.shape[1:] + x.shape;
     that is, each polynomial is evaluated at every value of `x`. If `tensor` is
     ``False``, the shape will be r.shape[1:]; that is, each polynomial is
     evaluated only for the corresponding broadcast value of `x`. Note that