Source code for tasks.avgs
from . import Task, AvgsLayout
from functools import partial, reduce
import operator
import math
[docs]class Avgs(object):
'''All :ref:`Task` s categorized as `averages` under one roof.
.. versionadded:: 0.2.4
'''
[docs] def avgs_gen(*args):
'''Generalized mean:
.. math::
\\big(\\frac{1}{n}\\sum_{i=1}^n x_{i}^{p} \\big)^\\frac{1}{p},
where:
* p == -1: harmonic
* p == 0: geometric
* p == 1: arithmetic
* p == 2: quadratic
* p == 3: cubic
* etc...
.. versionadded:: 0.2.4
'''
widget = AvgsLayout()
task = Task(title='Count', wdg=widget,
call=['Count', Avgs.avgs_gen])
task.run = partial(Avgs._avgs_gen,
task,
task.ids.container.children[0].ids.name,
task.ids.container.children[0].ids.power)
task.open()
@staticmethod
[docs] def _avgs_gen(task, address, p, *args):
'''Gets the values from address and depending on `p` (power) value
returns either exceptional case for `p == 0` (geometric mean), or
value from the generalized mean's formula.
.. versionadded:: 0.2.4
'''
try:
if p == '-0':
p = 0.0
else:
p = float(p.text)
except ValueError, SyntaxError:
return
values = task.from_address(task.tablenum, address.text)
if p in [0, -0]:
multiples = reduce(operator.mul, values, 1)
result = math.pow(multiples, 1 / float(len(values)))
p = 'geometric'
else:
values = [math.pow(val, p) for val in values]
upper = math.fsum(values) / float(len(values))
result = math.pow(upper, 1 / float(p))
task.set_page('Generalized mean({})'.format(p), str(result), 'text')
[docs] def avgs_inter(*args):
'''(Not yet implemented)
'''
[docs] def avgs_mid(*args):
'''(Not yet implemented)
'''
[docs] def avgs_trim(*args):
'''(Not yet implemented)
'''
[docs] def avgs_mode(*args):
'''(Not yet implemented)
'''
names = (('Generalized', avgs_gen),
('Interquartile', avgs_inter),
('Midrange', avgs_mid),
('Trimmed', avgs_trim),
('Median', avgs_median),
('Mode', avgs_mode))
# statistics.mean()
# numpy.mean(values)
# scipy.stats.gmean(values)
# scipy.stats.hmean(values)
# 1/2 * ( max(x) + min(x) )
# scipy.stats.tmean(values, limits)
