Minimal demo of AllanTools realtime use

allantools_realtime_minimal.py

import allantools as at

import numpy as np

decades = 3
x_all = np.random.randn(pow(10, decades)) # test time-series

dev_rt = at.realtime.oadev_realtime(auto_afs=True,tau0=1.0) 

n=0
for x in x_all:
    dev_rt.add_phase(x)
    n=n+1
    if n%100==0: # print out taus, devs every 100 samples added
        print(n, dev_rt.taus(), dev_rt.devs())
    
""" output

100 [ 1.  2.  3.  6. 10. 18. 32.] [1.82945958 0.86446256 0.61579566 0.30911865 0.20048262 0.1011053
 0.06169031]
200 [ 1.  2.  3.  6. 10. 18. 32. 56.] [1.79701015 0.82587503 0.59989677 0.28566837 0.17247098 0.09926979
 0.05794194 0.03403297]
300 [  1.   2.   3.   6.  10.  18.  32.  56. 100.] [1.77708388 0.84671188 0.60677001 0.27978805 0.17850957 0.10156645
 0.05381443 0.03283014 0.01776692]
400 [  1.   2.   3.   6.  10.  18.  32.  56. 100. 178.] [1.84149586 0.87525721 0.62581232 0.29780473 0.18450432 0.09945422
 0.05289148 0.03291331 0.01808446 0.00935772]
500 [  1.   2.   3.   6.  10.  18.  32.  56. 100. 178.] [1.84012405 0.91744209 0.6190796  0.30511218 0.18811762 0.10295389
 0.05484504 0.03430562 0.01848204 0.01044327]
600 [  1.   2.   3.   6.  10.  18.  32.  56. 100. 178.] [1.75831917 0.90653858 0.60659755 0.29835204 0.18243773 0.10043421
 0.05538162 0.03329266 0.01856016 0.01066665]
700 [  1.   2.   3.   6.  10.  18.  32.  56. 100. 178. 316.] [1.73259687 0.90253217 0.59562255 0.29727196 0.18293965 0.09973552
 0.05452752 0.03325574 0.01827361 0.0104459  0.00538115]
800 [  1.   2.   3.   6.  10.  18.  32.  56. 100. 178. 316.] [1.72933057 0.89326275 0.58870074 0.2964609  0.18153526 0.09979639
 0.05532126 0.03278551 0.01803727 0.01017652 0.00602375]
900 [  1.   2.   3.   6.  10.  18.  32.  56. 100. 178. 316.] [1.71382538 0.89606599 0.58630677 0.29370196 0.17976715 0.10045458
 0.05542443 0.03248735 0.01793483 0.00999699 0.00573001]
1000 [  1.   2.   3.   6.  10.  18.  32.  56. 100. 178. 316.] [1.68963069 0.88265065 0.58549858 0.29017268 0.17814069 0.09942849
 0.05484949 0.03223238 0.01789586 0.00987196 0.00553032]

"""