diff options
Diffstat (limited to 'numpy/lib/function_base.py')
| -rw-r--r-- | numpy/lib/function_base.py | 34 |
1 files changed, 19 insertions, 15 deletions
diff --git a/numpy/lib/function_base.py b/numpy/lib/function_base.py index 48b0a0830..cf6f4891c 100644 --- a/numpy/lib/function_base.py +++ b/numpy/lib/function_base.py @@ -604,14 +604,13 @@ def piecewise(x, condlist, funclist, *args, **kw): ) y = zeros(x.shape, x.dtype) - for k in range(n): - item = funclist[k] - if not isinstance(item, collections.abc.Callable): - y[condlist[k]] = item + for cond, func in zip(condlist, funclist): + if not isinstance(func, collections.abc.Callable): + y[cond] = func else: - vals = x[condlist[k]] + vals = x[cond] if vals.size > 0: - y[condlist[k]] = item(vals, *args, **kw) + y[cond] = func(vals, *args, **kw) return y @@ -682,8 +681,7 @@ def select(condlist, choicelist, default=0): choicelist = np.broadcast_arrays(*choicelist) # If cond array is not an ndarray in boolean format or scalar bool, abort. - for i in range(len(condlist)): - cond = condlist[i] + for i, cond in enumerate(condlist): if cond.dtype.type is not np.bool_: raise TypeError( 'invalid entry {} in condlist: should be boolean ndarray'.format(i)) @@ -1334,7 +1332,7 @@ def interp(x, xp, fp, left=None, right=None, period=None): See Also -------- - scipy.interpolate + scipy.interpolate Notes ----- @@ -1973,8 +1971,7 @@ class vectorize: References ---------- - .. [1] NumPy Reference, section `Generalized Universal Function API - <https://docs.scipy.org/doc/numpy/reference/c-api.generalized-ufuncs.html>`_. + .. [1] :doc:`/reference/c-api/generalized-ufuncs` Examples -------- @@ -3122,7 +3119,7 @@ def i0(x): .. [2] M. Abramowitz and I. A. Stegun, *Handbook of Mathematical Functions*, 10th printing, New York: Dover, 1964, pp. 379. http://www.math.sfu.ca/~cbm/aands/page_379.htm - .. [3] http://kobesearch.cpan.org/htdocs/Math-Cephes/Math/Cephes.html + .. [3] https://metacpan.org/pod/distribution/Math-Cephes/lib/Math/Cephes.pod#i0:-Modified-Bessel-function-of-order-zero Examples -------- @@ -3273,10 +3270,17 @@ def _sinc_dispatcher(x): @array_function_dispatch(_sinc_dispatcher) def sinc(x): - """ - Return the sinc function. + r""" + Return the normalized sinc function. + + The sinc function is :math:`\sin(\pi x)/(\pi x)`. + + .. note:: - The sinc function is :math:`\\sin(\\pi x)/(\\pi x)`. + Note the normalization factor of ``pi`` used in the definition. + This is the most commonly used definition in signal processing. + Use ``sinc(x / np.pi)`` to obtain the unnormalized sinc function + :math:`\sin(x)/(x)` that is more common in mathematics. Parameters ---------- |