In [5]:

    

import os
files = [f for f in os.listdir('.') if os.path.isfile(f)]
for f in files:
    print(f)


    

    




znorm_tinkah.ipynb

In [24]:

    

from numpy import genfromtxt
dd = genfromtxt("/home/psenin/git/saxpy/data/insect.txt", delimiter=',')


    

In [15]:

    

len(dd)


    

    
Out[15]:





18667

In [16]:

    

type(dd[1])


    

    
Out[16]:





numpy.float64

In [13]:

    

import matplotlib.pyplot as plt
plt.plot(dd)


    

    




/home/psenin/anaconda3/lib/python3.6/site-packages/matplotlib/font_manager.py:279: UserWarning: Matplotlib is building the font cache using fc-list. This may take a moment.
  'Matplotlib is building the font cache using fc-list. '






    
Out[13]:





[<matplotlib.lines.Line2D at 0x7fcf94f40b38>]

In [14]:

    

plt.show()


    

In [25]:

    

import numpy as np
def znorm(series, znorm_threshold=0.01):
    """Fallback Python implementation."""
    sd = np.std(series)
    if (sd < znorm_threshold):
        return series
    mean = np.mean(series)
    res = (series - mean)/sd
    return res


    

In [26]:

    

dd_norm = znorm(dd, 0.001)


    

In [29]:

    

type(dd_norm)


    

    
Out[29]:





numpy.ndarray

In [27]:

    

plt.plot(dd_norm)
plt.show()


    

In [28]:

    

%timeit -r 10 a = znorm(dd, 0.001)


    

    




84.3 µs ± 3.98 µs per loop (mean ± std. dev. of 10 runs, 10000 loops each)

In [ ]:

    

setup = '''
from numpy import genfromtxt
dd = genfromtxt("/home/psenin/git/saxpy/data/insect.txt", delimiter=',')
from saxpy import znorm
'''
import timeit
timeit.Timer('a=znorm.znorm(dd, 0.001)', setup=setup).repeat(7, 1000)


    

In [ ]:

    

setup = '''
from numpy import genfromtxt
dd = genfromtxt("/home/psenin/git/saxpy/data/insect.txt", delimiter=',')
from saxpy import znorm
'''
import timeit
timeit.Timer('a=znorm.znorm(dd, 0.001)', setup=setup).repeat(7, 1000)


    

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In [ ]:

    

from numpy import std
from saxpy import znorm as zn


    

In [ ]:

    

"""Test the znorm implementation."""
ts = [-1., -2., -1., 0., 2., 1., 1., 0.]
z_thrsh = 0.001

x_scaled = [x / 100.0 for x in ts]


    

In [ ]:

    

zn.znorm(x_scaled, z_thrsh)


    

In [1]:

    

import inspect
from saxpy import znorm as zn
lines = inspect.getsourcelines(zn.znorm)
print("".join(lines[0]))


    

    




---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-1-08dcd0eed067> in <module>()
      1 import inspect
      2 from saxpy import znorm as zn
----> 3 lines = inspect.getsourcelines(zn.znorm)
      4 print("".join(lines[0]))

AttributeError: 'builtin_function_or_method' object has no attribute 'znorm'

In [ ]:

    

import numpy as np
def znorm(series, znorm_threshold=0.01):
    """Fallback Python implementation."""
    sd = np.std(series)
    if (sd < znorm_threshold):
        return series
    mean = np.mean(series)
    res = np.zeros(len(series))
    for i in range(0, len(series)):
        res[i] = (series[i] - mean) / sd
    return res.ravel()


    

In [ ]:

    

mean = np.mean(zz)
mean


    

In [ ]:

    

std = np.std(zz, axis=0, ddof=1)
std


    

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