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Diffstat (limited to 'doc/source/reference/routines.polynomials.classes.rst')
| -rw-r--r-- | doc/source/reference/routines.polynomials.classes.rst | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/doc/source/reference/routines.polynomials.classes.rst b/doc/source/reference/routines.polynomials.classes.rst index 10331e9c1..5f575bed1 100644 --- a/doc/source/reference/routines.polynomials.classes.rst +++ b/doc/source/reference/routines.polynomials.classes.rst @@ -290,7 +290,8 @@ 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=f"$T_{i}$") ... >>> plt.legend(loc="upper left") <matplotlib.legend.Legend object at 0x3b3ee10> @@ -304,7 +305,8 @@ 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=f"$T_{i}$") ... >>> plt.legend(loc="lower right") <matplotlib.legend.Legend object at 0x3b3ee10> |