MAINT: Use linspace instead of arange in some examples.

The original code used arange with offsets and scaling to generate
sample points. Using linspace simplifies the code and clarifies
the intent.

1 files changed, 3 insertions, 3 deletions

diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py
index 2b1d780d2..e32492958 100644
--- a/numpy/lib/function_base.py
+++ b/numpy/lib/function_base.py
@@ -660,7 +660,7 @@ def piecewise(x, condlist, funclist, *args, **kw):
     --------
     Define the sigma function, which is -1 for ``x < 0`` and +1 for ``x >= 0``.
 
-    >>> x = np.arange(6) - 2.5
+    >>> x = np.linspace(-2.5, 2.5, 6)
     >>> np.piecewise(x, [x < 0, x >= 0], [-1, 1])
     array([-1., -1., -1.,  1.,  1.,  1.])
 
@@ -2827,7 +2827,7 @@ def sinc(x):
 
     Examples
     --------
-    >>> x = np.arange(-20., 21.)/5.
+    >>> x = np.linspace(-4, 4, 41)
     >>> np.sinc(x)
     array([ -3.89804309e-17,  -4.92362781e-02,  -8.40918587e-02,
             -8.90384387e-02,  -5.84680802e-02,   3.89804309e-17,
@@ -2856,7 +2856,7 @@ def sinc(x):
 
     It works in 2-D as well:
 
-    >>> x = np.arange(-200., 201.)/50.
+    >>> x = np.linspace(-4, 4, 401)
     >>> xx = np.outer(x, x)
     >>> plt.imshow(np.sinc(xx))
     <matplotlib.image.AxesImage object at 0x...>