def stddev(w, axis=-1):
"""Calculate the standard deviation
Returns the standard deviation over the highest dimension, a measure of the
spread of a distribution.
Example:
>>> w1=Waveform([range(2), range(4)], array([[1,2,3,4],[1,1,1,1]]))
>>> stddev(w1)
Waveform(array([0, 1]), array([ 1.11803399, 0. ]))
"""
return reducedim(w, np.std(w._y, axis=w.getaxis(axis)),
axis=w.getaxis(axis))
def stddev(w, axis=-1):
"""Calculate the standard deviation
Returns the standard deviation over the highest dimension, a measure of the
spread of a distribution.
Example:
>>> w1=Waveform([range(2), range(4)], array([[1,2,3,4],[1,1,1,1]]))
>>> stddev(w1)
Waveform(array([0, 1]), array([ 1.11803399, 0. ]))
"""
return reducedim(w, np.std(w._y, axis=w.getaxis(axis)),
axis=w.getaxis(axis))
def average(w, axis=-1):
"""Calculate average
Example:
>>> w1=Waveform([range(2), range(2)],array([[1.0, 3.0], [0.0, 5.0]]))
>>> average(w1)
Waveform(array([0, 1]), array([ 2. , 2.5]))
>>> w1=Waveform([range(2), range(2)],array([[1.0, 3.0], [0.0, 5.0]]), \
xlabels=['row','col'])
>>> average(w1, axis='row')
Waveform(array([0, 1]), array([ 0.5, 4. ]))
"""
return reducedim(w, np.mean(w._y, axis=w.getaxis(axis)),
axis=w.getaxis(axis))
def average(w, axis=-1):
"""Calculate average
Example:
>>> w1=Waveform([range(2), range(2)],array([[1.0, 3.0], [0.0, 5.0]]))
>>> average(w1)
Waveform(array([0, 1]), array([ 2. , 2.5]))
>>> w1=Waveform([range(2), range(2)],array([[1.0, 3.0], [0.0, 5.0]]), \
xlabels=['row','col'])
>>> average(w1, axis='row')
Waveform(array([0, 1]), array([ 0.5, 4. ]))
"""
return reducedim(w, np.mean(w._y, axis=w.getaxis(axis)),
axis=w.getaxis(axis))
def rms(w, axis=-1):
"""Calculate root-mean-square"""
return reducedim(w, sqrt(np.mean(w._y**2, axis=w.getaxis(axis))),
axis=w.getaxis(axis))
def rms(w, axis=-1):
"""Calculate root-mean-square"""
return reducedim(w, sqrt(np.mean(w._y**2, axis=w.getaxis(axis))),
axis=w.getaxis(axis))
