DOC: fix a typo and use TeX for plot labels

1 files changed, 3 insertions, 3 deletions

diff --git a/doc/source/reference/routines.polynomials.classes.rst b/doc/source/reference/routines.polynomials.classes.rst
index 14729f08b..c40795434 100644
--- a/doc/source/reference/routines.polynomials.classes.rst
+++ b/doc/source/reference/routines.polynomials.classes.rst
@@ -211,7 +211,7 @@ constant are 0, but both can be specified.::
 In the first case the lower bound of the integration is set to -1 and the
 integration constant is 0. In the second the constant of integration is set
 to 1 as well. Differentiation is simpler since the only option is the
-number times the polynomial is differentiated::
+number of times the polynomial is differentiated::
 
     >>> p = P([1, 2, 3])
     >>> p.deriv(1)
@@ -270,7 +270,7 @@ polynomials up to degree 5 are plotted below.
     >>> import matplotlib.pyplot as plt
     >>> from numpy.polynomial import Chebyshev as T
     >>> x = np.linspace(-1, 1, 100)
-    >>> for i in range(6): ax = plt.plot(x, T.basis(i)(x), lw=2, label="T_%d"%i)
+    >>> for i in range(6): ax = plt.plot(x, T.basis(i)(x), lw=2, label="$T_%d$"%i)
     ...
     >>> plt.legend(loc="upper left")
     <matplotlib.legend.Legend object at 0x3b3ee10>
@@ -284,7 +284,7 @@ The same plots over the range -2 <= `x` <= 2 look very different:
     >>> import matplotlib.pyplot as plt
     >>> from numpy.polynomial import Chebyshev as T
     >>> x = np.linspace(-2, 2, 100)
-    >>> for i in range(6): ax = plt.plot(x, T.basis(i)(x), lw=2, label="T_%d"%i)
+    >>> for i in range(6): ax = plt.plot(x, T.basis(i)(x), lw=2, label="$T_%d$"%i)
     ...
     >>> plt.legend(loc="lower right")
     <matplotlib.legend.Legend object at 0x3b3ee10>