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authorPierre de Buyl <pierre.debuyl@meteo.be>2021-11-16 11:59:12 +0100
committerPierre de Buyl <pdebuyl@pdebuyl.be>2021-12-08 15:29:33 +0100
commited32022869ee87566d90fe0c843111acb7255d4c (patch)
tree82af668577263796ccf33f29b6905cfccaed86fa /doc/source/reference
parent496c02dd237c1bf99d21d37325c9b89b65aada4a (diff)
downloadnumpy-ed32022869ee87566d90fe0c843111acb7255d4c.tar.gz
Remove matplotlib output lines
Diffstat (limited to 'doc/source/reference')
-rw-r--r--doc/source/reference/routines.polynomials.classes.rst4
1 files changed, 0 insertions, 4 deletions
diff --git a/doc/source/reference/routines.polynomials.classes.rst b/doc/source/reference/routines.polynomials.classes.rst
index fd5b0a7e3..2ce29d9d0 100644
--- a/doc/source/reference/routines.polynomials.classes.rst
+++ b/doc/source/reference/routines.polynomials.classes.rst
@@ -294,7 +294,6 @@ polynomials up to degree 5 are plotted below.
... ax = plt.plot(x, T.basis(i)(x), lw=2, label=f"$T_{i}$")
...
>>> plt.legend(loc="upper left")
- <matplotlib.legend.Legend object at 0x...>
>>> plt.show()
In the range -1 <= `x` <= 1 they are nice, equiripple functions lying between +/- 1.
@@ -309,7 +308,6 @@ The same plots over the range -2 <= `x` <= 2 look very different:
... ax = plt.plot(x, T.basis(i)(x), lw=2, label=f"$T_{i}$")
...
>>> plt.legend(loc="lower right")
- <matplotlib.legend.Legend object at 0x...>
>>> plt.show()
As can be seen, the "good" parts have shrunk to insignificance. In using
@@ -335,10 +333,8 @@ illustrated below for a fit to a noisy sine curve.
>>> y = np.sin(x) + np.random.normal(scale=.1, size=x.shape)
>>> p = T.fit(x, y, 5)
>>> plt.plot(x, y, 'o')
- [<matplotlib.lines.Line2D object at 0x...>]
>>> xx, yy = p.linspace()
>>> plt.plot(xx, yy, lw=2)
- [<matplotlib.lines.Line2D object at 0x...>]
>>> p.domain
array([0. , 6.28318531])
>>> p.window