Skip to content
Projeler
Gruplar
Parçacıklar
Yardım
Yükleniyor...
Oturum aç / Kaydol
Gezinmeyi değiştir
C
cpython
Proje
Proje
Ayrıntılar
Etkinlik
Cycle Analytics
Depo (repository)
Depo (repository)
Dosyalar
Kayıtlar (commit)
Dallar (branch)
Etiketler
Katkıda bulunanlar
Grafik
Karşılaştır
Grafikler
Konular (issue)
0
Konular (issue)
0
Liste
Pano
Etiketler
Kilometre Taşları
Birleştirme (merge) Talepleri
0
Birleştirme (merge) Talepleri
0
CI / CD
CI / CD
İş akışları (pipeline)
İşler
Zamanlamalar
Grafikler
Paketler
Paketler
Wiki
Wiki
Parçacıklar
Parçacıklar
Üyeler
Üyeler
Collapse sidebar
Close sidebar
Etkinlik
Grafik
Grafikler
Yeni bir konu (issue) oluştur
İşler
Kayıtlar (commit)
Konu (issue) Panoları
Kenar çubuğunu aç
Batuhan Osman TASKAYA
cpython
Commits
295c1d4f
Kaydet (Commit)
295c1d4f
authored
Nis 21, 2011
tarafından
Raymond Hettinger
Dosyalara gözat
Seçenekler
Dosyalara Gözat
İndir
Eposta Yamaları
Sade Fark
Add another example for accumulate().
üst
5bba6c27
Hide whitespace changes
Inline
Side-by-side
Showing
1 changed file
with
18 additions
and
3 deletions
+18
-3
itertools.rst
Doc/library/itertools.rst
+18
-3
No files found.
Doc/library/itertools.rst
Dosyayı görüntüle @
295c1d4f
...
@@ -104,9 +104,13 @@ loops that truncate the stream.
...
@@ -104,9 +104,13 @@ loops that truncate the stream.
total = func(total, element)
total = func(total, element)
yield total
yield total
Uses for the *func* argument include :func:`min` for a running minimum,
There are a number of uses for the *func* argument. It can be set to
:func:`max` for a running maximum, and :func:`operator.mul` for a running
:func:`min` for a running minimum, :func:`max` for a running maximum, or
product::
:func:`operator.mul` for a running product. Amortization tables can be
built by accumulating interest and applying payments. First-order
`recurrence relations <http://en.wikipedia.org/wiki/Recurrence_relation>`_
can be modeled by supplying the initial value in the iterable and using only
the accumulated total in *func* argument::
>>> data = [3, 4, 6, 2, 1, 9, 0, 7, 5, 8]
>>> data = [3, 4, 6, 2, 1, 9, 0, 7, 5, 8]
>>> list(accumulate(data, operator.mul)) # running product
>>> list(accumulate(data, operator.mul)) # running product
...
@@ -119,6 +123,17 @@ loops that truncate the stream.
...
@@ -119,6 +123,17 @@ loops that truncate the stream.
>>> list(accumulate(cashflows, lambda bal, pmt: bal*1.05 + pmt))
>>> list(accumulate(cashflows, lambda bal, pmt: bal*1.05 + pmt))
[1000, 960.0, 918.0, 873.9000000000001, 827.5950000000001]
[1000, 960.0, 918.0, 873.9000000000001, 827.5950000000001]
# Chaotic recurrence relation http://en.wikipedia.org/wiki/Logistic_map
>>> logistic_map = lambda x, _: r * x * (1 - x)
>>> r = 3.8
>>> x0 = 0.4
>>> inputs = repeat(x0, 36) # only the initial value is used
>>> [format(x, '.2f') for x in accumulate(inputs, logistic_map)]
['0.40', '0.91', '0.30', '0.81', '0.60', '0.92', '0.29', '0.79', '0.63',
'0.88' ,'0.39', '0.90', '0.33', '0.84', '0.52', '0.95', '0.18', '0.57',
'0.93', '0.25', '0.71', '0.79', '0.63', '0.88', '0.39', '0.91', '0.32',
'0.83', '0.54', '0.95', '0.20', '0.60', '0.91', '0.30', '0.80', '0.60']
.. versionadded:: 3.2
.. versionadded:: 3.2
.. versionchanged:: 3.3
.. versionchanged:: 3.3
...
...
Write
Preview
Markdown
is supported
0%
Try again
or
attach a new file
Attach a file
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Cancel
Please
register
or
sign in
to comment