Python geometricmean Beispiele

Beispiel #1

Datei: testStatlib.py Projekt: alclass/cxlots

def legacy():
  patts = stats.ltrimboth(patts, 0.1) # statlib.
  #patts = statlib.stats.ltrimboth(patts, 0.1) # statlib.
  print 'len(patts)', len(patts)
  #stats.writecc([patts,patts],'test.txt')
  alist = range(1,6)
  print 'sum(alist)', sum(alist)
  print 'cumsum(alist)', stats.cumsum(alist)
  print 'geometricmean(alist)', stats.geometricmean(alist)

Beispiel #2

Datei: FilterTil.py Projekt: alclass/cxlots

def testFiltre():
  fTilObj = FiltreTil('lf')
  fTilObj.getPatternsDictFor(5)
  fTilObj.analyze()
  patts = fTilObj.getPatternsFor(5)
  print 'len(patts)', len(patts)
  patts = stats.ltrimboth(patts, 0.1) # statlib.
  #patts = statlib.stats.ltrimboth(patts, 0.1) # statlib.
  print 'len(patts)', len(patts)
  #stats.writecc([patts,patts],'test.txt')
  alist = range(1,6)
  print 'sum(alist)', sum(alist)
  print 'cumsum(alist)', stats.cumsum(alist)
  print 'geometricmean(alist)', stats.geometricmean(alist)

Beispiel #3

from statlib import stats, pstat
from six.moves import range
reload(stats)
import numpy
N = numpy

l = list(range(1, 21))
lf = list(range(1, 21))
lf[2] = 3.0
a = N.array(l)
af = N.array(lf)
ll = [l] * 5
aa = N.array(ll)

print('\nCENTRAL TENDENCY')
print('geometricmean:', stats.geometricmean(l), stats.geometricmean(lf),
      stats.geometricmean(a), stats.geometricmean(af))
print('harmonicmean:', stats.harmonicmean(l), stats.harmonicmean(lf),
      stats.harmonicmean(a), stats.harmonicmean(af))
print('mean:', stats.mean(l), stats.mean(lf), stats.mean(a), stats.mean(af))
print('median:', stats.median(l), stats.median(lf), stats.median(a),
      stats.median(af))
print('medianscore:', stats.medianscore(l), stats.medianscore(lf),
      stats.medianscore(a), stats.medianscore(af))
print('mode:', stats.mode(l), stats.mode(a))

print('\nMOMENTS')
print('moment:', stats.moment(l), stats.moment(lf), stats.moment(a),
      stats.moment(af))
print('variation:', stats.variation(l), stats.variation(a),
      stats.variation(lf), stats.variation(af))

Beispiel #4

Datei: test_allstats.py Projekt: avatarzhang/python-statlib

import os
from statlib import stats, pstat
reload(stats)
import numpy
N=numpy

l = range(1,21)
lf = range(1,21)
lf[2] = 3.0
a = N.array(l)
af = N.array(lf)
ll = [l]*5
aa = N.array(ll)

print '\nCENTRAL TENDENCY'
print 'geometricmean:',stats.geometricmean(l), stats.geometricmean(lf), stats.geometricmean(a), stats.geometricmean(af)
print 'harmonicmean:',stats.harmonicmean(l), stats.harmonicmean(lf), stats.harmonicmean(a), stats.harmonicmean(af)
print 'mean:',stats.mean(l), stats.mean(lf), stats.mean(a), stats.mean(af)
print 'median:',stats.median(l),stats.median(lf),stats.median(a),stats.median(af)
print 'medianscore:',stats.medianscore(l),stats.medianscore(lf),stats.medianscore(a),stats.medianscore(af)
print 'mode:',stats.mode(l),stats.mode(a)

print '\nMOMENTS'
print 'moment:',stats.moment(l),stats.moment(lf),stats.moment(a),stats.moment(af)
print 'variation:',stats.variation(l),stats.variation(a),stats.variation(lf),stats.variation(af)
print 'skew:',stats.skew(l),stats.skew(lf),stats.skew(a),stats.skew(af)
print 'kurtosis:',stats.kurtosis(l),stats.kurtosis(lf),stats.kurtosis(a),stats.kurtosis(af)
print 'tmean:',stats.tmean(a,(5,17)),stats.tmean(af,(5,17))
print 'tvar:',stats.tvar(a,(5,17)),stats.tvar(af,(5,17))
print 'tstdev:',stats.tstdev(a,(5,17)),stats.tstdev(af,(5,17))
print 'tsem:',stats.tsem(a,(5,17)),stats.tsem(af,(5,17))

Beispiel #5

Datei: test_all.py Projekt: avatarzhang/python-statlib

 def test_geometricmean(self):
     "Testing geometric mean"
     data = [self.L, self.LF, self.A, self.AF]
     for d in data:
         self.EQ(stats.geometricmean(d), 8.304, 3)

Beispiel #6

Datei: pivot.py Projekt: debbiespiegel/salstat-statistics-package-2

 def evaluate(self, *args, **params):
     return _stats.geometricmean(*args, **params)

Beispiel #7

Datei: test_all.py Projekt: avatarzhang/python-statlib

 def test_geometricmean(self):
     "Testing geometric mean"
     data = [ self.L, self.LF, self.A, self.AF  ]
     for d in data :
         self.EQ( stats.geometricmean( d ), 8.304, 3)

Beispiel #8

Datei: test_allstats.py Projekt: haavee/RDBE

import os
from statlib import stats, pstat
reload(stats)
import numpy
N = numpy

l = range(1, 21)
lf = range(1, 21)
lf[2] = 3.0
a = N.array(l)
af = N.array(lf)
ll = [l] * 5
aa = N.array(ll)

print '\nCENTRAL TENDENCY'
print 'geometricmean:', stats.geometricmean(l), stats.geometricmean(
    lf), stats.geometricmean(a), stats.geometricmean(af)
print 'harmonicmean:', stats.harmonicmean(l), stats.harmonicmean(
    lf), stats.harmonicmean(a), stats.harmonicmean(af)
print 'mean:', stats.mean(l), stats.mean(lf), stats.mean(a), stats.mean(af)
print 'median:', stats.median(l), stats.median(lf), stats.median(
    a), stats.median(af)
print 'medianscore:', stats.medianscore(l), stats.medianscore(
    lf), stats.medianscore(a), stats.medianscore(af)
print 'mode:', stats.mode(l), stats.mode(a)

print '\nMOMENTS'
print 'moment:', stats.moment(l), stats.moment(lf), stats.moment(
    a), stats.moment(af)
print 'variation:', stats.variation(l), stats.variation(a), stats.variation(
    lf), stats.variation(af)