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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()


    

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from numpy import std
from saxpy import znorm as zn


    

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"""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]


    

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zn.znorm(x_scaled, z_thrsh)


    

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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'

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mean = np.mean(zz)
mean


    

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


    

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