本文整理匯總了Python中numpy.core.multiarray.normalize_axis_index方法的典型用法代碼示例。如果您正苦於以下問題：Python multiarray.normalize_axis_index方法的具體用法？Python multiarray.normalize_axis_index怎麽用？Python multiarray.normalize_axis_index使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類numpy.core.multiarray的用法示例。
在下文中一共展示了multiarray.normalize_axis_index方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _raw_fft
# 需要導入模塊: from numpy.core import multiarray [as 別名]
# 或者: from numpy.core.multiarray import normalize_axis_index [as 別名]
def _raw_fft(a, n=None, axis=-1, init_function=fftpack.cffti,
work_function=fftpack.cfftf, fft_cache=_fft_cache):
a = asarray(a)
axis = normalize_axis_index(axis, a.ndim)
if n is None:
n = a.shape[axis]
if n < 1:
raise ValueError("Invalid number of FFT data points (%d) specified."
% n)
# We have to ensure that only a single thread can access a wsave array
# at any given time. Thus we remove it from the cache and insert it
# again after it has been used. Multiple threads might create multiple
# copies of the wsave array. This is intentional and a limitation of
# the current C code.
wsave = fft_cache.pop_twiddle_factors(n)
if wsave is None:
wsave = init_function(n)
if a.shape[axis] != n:
s = list(a.shape)
if s[axis] > n:
index = [slice(None)]*len(s)
index[axis] = slice(0, n)
a = a[tuple(index)]
else:
index = [slice(None)]*len(s)
index[axis] = slice(0, s[axis])
s[axis] = n
z = zeros(s, a.dtype.char)
z[tuple(index)] = a
a = z
if axis != a.ndim - 1:
a = swapaxes(a, axis, -1)
r = work_function(a, wsave)
if axis != a.ndim - 1:
r = swapaxes(r, axis, -1)
# As soon as we put wsave back into the cache, another thread could pick it
# up and start using it, so we must not do this until after we're
# completely done using it ourselves.
fft_cache.put_twiddle_factors(n, wsave)
return r