# Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
# 
#  - Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
#  - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
# 
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#-------------------------------------------------------------------------------
from morphforge.traces.trace_methods_ctrl import CloneTrace, CopyTraceAttrs
from morphforge.traces.trace_methods_ctrl import TraceMethodCtrl
from morphforge.traces import Trace_FixedDT, Trace_VariableDT, Trace_Piecewise
from MMtrace_conversion import TraceConverter, TraceApproximator


# Conversion to: FixedDT:
#########################
TraceMethodCtrl.register(Trace_FixedDT,     'convert_to_fixed', lambda tr,dt: CopyTraceAttrs(trOld=tr, trNew=TraceConverter.RebaseToFixedDT(tr,dt) ) )
TraceMethodCtrl.register(Trace_VariableDT,  'convert_to_fixed', lambda tr,dt: CopyTraceAttrs(trOld=tr, trNew=TraceConverter.RebaseToFixedDT(tr,dt) ) )
TraceMethodCtrl.register(Trace_Piecewise,   'convert_to_fixed', lambda tr,dt: CopyTraceAttrs(trOld=tr, trNew=TraceConverter.RebaseToFixedDT(tr,dt) ) )


# Conversion to VariableDT:
###########################
TraceMethodCtrl.register(Trace_FixedDT,     'convert_to_variable', lambda tr: CopyTraceAttrs(trOld=tr, trNew=TraceConverter.reduce_to_variable_dt_trace() ) )
TraceMethodCtrl.register(Trace_VariableDT,  'convert_to_variable', lambda tr: CopyTraceAttrs(trOld=tr, trNew=TraceConverter.reduce_to_variable_dt_trace() ) )
# MISSING: PIECEWISE


# Conversion to Piecewise:
##########################
TraceMethodCtrl.register(Trace_FixedDT, 'convert_to_piecewise', TraceApproximator.FitPiecewiseLinearTrace )
# MISSING: VariableDT
# 
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#-------------------------------------------------------------------------------
from morphforge.traces.trace_methods_ctrl import TraceMethodCtrl, CloneTrace
from morphforge.traces import Trace_FixedDT, Trace_VariableDT, Trace_Piecewise
import numpy as np





# Mean, rms, stddev, variance functions:
##############################

# For FixedDT traces, these are simple:
TraceMethodCtrl.register(Trace_FixedDT, 'mean',   lambda tr: np.mean(tr._data) )
TraceMethodCtrl.register(Trace_FixedDT, 'stddev', lambda tr: np.std(tr._data) )
TraceMethodCtrl.register(Trace_FixedDT, 'var',    lambda tr: np.var(tr._data) )
TraceMethodCtrl.register(Trace_FixedDT, 'rms',    lambda tr: np.sqrt(np.mean(tr._data**2)) )

# For VariableDT traces
def variableDTMean(tr):
    import scipy.integrate
    # Calculate the mean with simpsons rule:
    integral = scipy.integrate.simps(y = tr._data.magnitude,x= tr._time.rescale('s').magnitude ) 
    mean = integral / tr.getDuration().rescale('s').magnitude * tr._data.units
    #mean_safe = tr.convert_to_fixed(unit("0.1:ms")).mean()
    #print mean_safe, mean
    #if np.fabs(mean-mean_safe) 
    #assert False, 'Check this'
    return mean
        cutoff_frequency.rescale("Hz")
        import scipy.signal
        frequency_hz = 1 / float(self.getDTNew().rescale('s'))
        n_frq_Hz = frequency_hz / 2.0
        
        cuttoff_norm = cutoff_frequency / n_frq_Hz
        b, a = scipy.signal.filter_design.butter(filterorder, cuttoff_norm)
        filteredsignal = scipy.signal.lfilter(b, a, self._data.magnitude)

        return CloneTrace(self,
                          data=filteredsignal * self._data.units,
                          comment="+(Butterworth Filtered)"
                          )        

        
TraceMethodCtrl.register(Trace_FixedDT, 'filterbutterworth', butterworthfilter, can_fallback_to_fixed_trace=True )




def besselfilter(self, filterorder, cutoff_frequency):
        cutoff_frequency.rescale("Hz")
        import scipy.signal
        frequency_hz = 1 / float(self.getDTNew().rescale('s'))
        n_frq_Hz = frequency_hz / 2.0
        
        cuttoff_norm = cutoff_frequency / n_frq_Hz
        print "CutoffNorm:",cuttoff_norm
        b, a = scipy.signal.filter_design.bessel(filterorder, cuttoff_norm)
        filteredsignal = scipy.signal.lfilter(b, a, self._data.magnitude)
#  - Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
#  - Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
# 
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#-------------------------------------------------------------------------------
from morphforge.traces.trace_methods_ctrl import TraceMethodCtrl
from morphforge.traces import Trace_FixedDT

import numpy as np
def fft(tr, normalise=True):
    ft = np.fft.fft( tr._data )
    if normalise:
        ft /= ft.max()
    ftfreq = np.fft.fftfreq( tr._data.size, tr.getDTNew().rescale("s").magnitude )
    return ftfreq, ft
    

def psd(tr, normalise=True):
    ft = np.fft.fft( tr._data )
    ft = ft.real()**2 + ft.imag()**2
    if normalise:
        ft /= ft.max()
        
    ftfreq = np.fft.fftfreq( tr._data.size, tr.getDTNew().rescale("s").magnitude )
    return ftfreq, ft   
    
            
TraceMethodCtrl.register(Trace_FixedDT, 'fft', fft, can_fallback_to_fixed_trace=True )

TraceMethodCtrl.register(Trace_FixedDT, 'psd', fft, can_fallback_to_fixed_trace=True )
import numpy
import numpy as np
from quantities.quantity import Quantity
from morphforge.traces.trace_methods_ctrl import TraceMethodCtrl
from morphforge.traces.trace_methods_ctrl import CloneTrace



# Shifting:
#############

def ShiftPtTrace(trace, offset):
    return CloneTrace(trace, time=trace._time + offset, data=trace._data, comment="+ Shifted %2.2f" % offset)
                    

TraceMethodCtrl.register(Trace_FixedDT,    'shift', ShiftPtTrace)        
TraceMethodCtrl.register(Trace_VariableDT, 'shift', ShiftPtTrace)  


# Windowing:
###############

def WindowFixedTrace(trace, timeWindow):
    
    #Dirty Pre-processing
    if isinstance(timeWindow, Quantity):
        assert len(timeWindow) == 2
        timeWindow = (timeWindow[0], timeWindow[1])
        
    #print timeWindow, type(timeWindow)
    
예제 #6
0
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
# -------------------------------------------------------------------------------
from morphforge.traces.trace_methods_ctrl import TraceMethodCtrl

import numpy as np
from morphforge.traces.tracetypes import Trace_VariableDT, Trace_Piecewise, Trace_FixedDT


def getPiecewiseLinearPoints(tr):
    xUnit = tr._pieces[0].getMinTime().units
    yUnit = tr._pieces[0].getStartValue().units

    xPoints = []
    yPoints = []

    for p in tr._pieces:
        xPoints.append(float(p.getMinTime().rescale(xUnit).magnitude))
        xPoints.append(float(p.getMaxTime().rescale(xUnit).magnitude))

        yPoints.append(float(p.getStartValue().rescale(yUnit).magnitude))
        yPoints.append(float(p.getEndValue().rescale(yUnit).magnitude))

    return np.array(xPoints) * xUnit, np.array(yPoints) * yUnit


# Plotting:
TraceMethodCtrl.register(Trace_FixedDT, "plotpoints", lambda tr: (tr._time, tr._data))
TraceMethodCtrl.register(Trace_VariableDT, "plotpoints", lambda tr: (tr._time, tr._data))
TraceMethodCtrl.register(Trace_Piecewise, "plotpoints", getPiecewiseLinearPoints)