python画累积分布图_python – matplotlib中累积分布函数的对数图

实际上,您需要将以下转换应用于Y值：-log10(1-y).这仅限制了y < 1,所以你应该能够在变换的图上有负值. 这是从matplotlib文档中修改的

example,显示了如何将自定义转换结合到“scale”中：

import numpy as np

from numpy import ma

from matplotlib import scale as mscale

from matplotlib import transforms as mtransforms

from matplotlib.ticker import FixedFormatter, FixedLocator

class CloseToOne(mscale.ScaleBase):

name = 'close_to_one'

def __init__(self, axis, **kwargs):

mscale.ScaleBase.__init__(self)

self.nines = kwargs.get('nines', 5)

def get_transform(self):

return self.Transform(self.nines)

def set_default_locators_and_formatters(self, axis):

axis.set_major_locator(FixedLocator(

np.array([1-10**(-k) for k in range(1+self.nines)])))

axis.set_major_formatter(FixedFormatter(

[str(1-10**(-k)) for k in range(1+self.nines)]))

def limit_range_for_scale(self, vmin, vmax, minpos):

return vmin, min(1 - 10**(-self.nines), vmax)

class Transform(mtransforms.Transform):

input_dims = 1

output_dims = 1

is_separable = True

def __init__(self, nines):

mtransforms.Transform.__init__(self)

self.nines = nines

def transform_non_affine(self, a):

masked = ma.masked_where(a > 1-10**(-1-self.nines), a)

if masked.mask.any():

return -ma.log10(1-a)

else:

return -np.log10(1-a)

def inverted(self):

return CloseToOne.InvertedTransform(self.nines)

class InvertedTransform(mtransforms.Transform):

input_dims = 1

output_dims = 1

is_separable = True

def __init__(self, nines):

mtransforms.Transform.__init__(self)

self.nines = nines

def transform_non_affine(self, a):

return 1. - 10**(-a)

def inverted(self):

return CloseToOne.Transform(self.nines)

mscale.register_scale(CloseToOne)

if __name__ == '__main__':

import pylab

pylab.figure(figsize=(20, 9))

t = np.arange(-0.5, 1, 0.00001)

pylab.subplot(121)

pylab.plot(t)

pylab.subplot(122)

pylab.plot(t)

pylab.yscale('close_to_one')

pylab.grid(True)

pylab.show()

请注意,您可以通过关键字参数控制9的数量：

pylab.figure()

pylab.plot(t)

pylab.yscale('close_to_one', nines=3)

pylab.grid(True)