我想数字地解决包含白噪声的积分.数学上的白噪声可以用变量X(t)来描述,变量X(t)是随机变量,具有时间平均Avg [X(t)] = 0和相关函数Avg [X(t)X(t')] = delta_distrubtion(t) -t").
一个简单的例子是从t = 0到1计算X(t)上的积分.平均来说,这当然是零,但我需要的是这个积分的不同实现.
问题是这不适用于numpy.integrate.quad().
是否有任何python包处理随机积分?
当试图progressbar在OSX El Capitan上安装python包时,我收到以下错误:
Collecting progressbar
Using cached progressbar-2.3.tar.gz
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
File "<string>", line 20, in <module>
File "/private/var/folders/9s/b1jly7yd0jq639plvkzdvn4m0000gn/T/pip-build-xhfxywsw/progressbar/setup.py", line 5, in <module>
import progressbar
File "/private/var/folders/9s/b1jly7yd0jq639plvkzdvn4m0000gn/T/pip-build-xhfxywsw/progressbar/progressbar/__init__.py", line 59, in <module>
from progressbar.widgets import *
File "/private/var/folders/9s/b1jly7yd0jq639plvkzdvn4m0000gn/T/pip-build-xhfxywsw/progressbar/progressbar/widgets.py", line 121, in <module>
class FileTransferSpeed(Widget):
File "/Users/<USERNAME>/anaconda/lib/python3.4/abc.py", line 133, in __new__
cls = super().__new__(mcls, name, bases, namespace)
ValueError: 'format' in __slots__ conflicts with class variable
----------------------------------------
Command "python setup.py egg_info" failed …Run Code Online (Sandbox Code Playgroud) 我有一个相当大的项目,包括一个最近需要使用@property装饰器更新的类 Foo,以创建自定义的 getter 和 setter 方法。
我还在Foo我的硬盘上存储了几个实例,在某些时候我可能需要重新加载。我的问题是,我无法访问用这些旧对象上的属性去除的属性。
考虑以下示例:
import pickle
# define Class and create instance
class Foo:
def __init__(self):
self.val = 1
foo = Foo()
# dump foo into file
with open("foo.pickle", 'wb') as handle:
pickle.dump(foo, handle, pickle.HIGHEST_PROTOCOL)
# overwrite and add @property in the class definition
class Foo:
def __init__(self):
self._val = "new_foo"
@property
def val(self):
return self._val
@val.setter
def val(self, val):
self._val = val
foo_new = Foo()
print(foo_new.val)
# reload foo
with open("foo.pickle", …Run Code Online (Sandbox Code Playgroud) 我正在尝试更改 matplotlib 中对数图的刻度标签,通常通过手动设置标签可以正常工作。然而,经常会出现如下所示的问题,手动移动标签似乎保留了一些旧标签。知道如何解决这个问题吗?
import matplotlib.pyplot as plt
%matplotlib inline
fig, ax = plt.subplots()
x = [1, 10]
y = [0, 1]
ax.plot(x, y)
ax.set_xscale('log')
ax.set_xlim(0, 10)
ax.set_xticks([2.5, 7.5])
Run Code Online (Sandbox Code Playgroud)
另外,我最近升级到 matplotlib 2.0.2,但我不记得以前见过这种行为。