marcel/pylot
3
0
Fork 0
Code Issues 7 Pull Requests 1 Releases Wiki Activity

prepared application of stealth mode

Browse Source
This commit is contained in:
Marcel Paffrath 2015-10-20 10:38:00 +02:00
parent 195352a7ca
commit 2dd36379a8
1 changed files with 10 additions and 7 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

17
pylot/core/pick/CharFuns.py
View File

@ -62,7 +62,7 @@ class CharacteristicFunction(object):
self.calcCF(self.getDataArray()) self.calcCF(self.getDataArray())
self.arpara = np.array([]) self.arpara = np.array([])
self.xpred = np.array([]) self.xpred = np.array([])
self.stealthMode = stealthMode self._stealthMode = stealthMode
def __str__(self): def __str__(self):
return '''\n\t{name} object:\n return '''\n\t{name} object:\n
@ -136,6 +136,9 @@ class CharacteristicFunction(object):
def getXCF(self): def getXCF(self):
return self.xcf return self.xcf
def _getStealthMode(self):
return self._stealthMode()
def getDataArray(self, cut=None): def getDataArray(self, cut=None):
''' '''
If cut times are given, time series is cut from cut[0] (start time) If cut times are given, time series is cut from cut[0] (start time)
@ -220,8 +223,8 @@ class AICcf(CharacteristicFunction):
def calcCF(self, data): def calcCF(self, data):
if self.stealthMode is False: #if self._getStealthMode() is False:
print 'Calculating AIC ...' # print 'Calculating AIC ...'
x = self.getDataArray() x = self.getDataArray()
xnp = x[0].data xnp = x[0].data
nn = np.isnan(xnp) nn = np.isnan(xnp)
@ -259,13 +262,13 @@ class HOScf(CharacteristicFunction):
if len(nn) > 1: if len(nn) > 1:
xnp[nn] = 0 xnp[nn] = 0
if self.getOrder() == 3: # this is skewness if self.getOrder() == 3: # this is skewness
if self.stealthMode is False: #if self._getStealthMode() is False:
print 'Calculating skewness ...' # print 'Calculating skewness ...'
y = np.power(xnp, 3) y = np.power(xnp, 3)
y1 = np.power(xnp, 2) y1 = np.power(xnp, 2)
elif self.getOrder() == 4: # this is kurtosis elif self.getOrder() == 4: # this is kurtosis
if self.stealthMode is False: #if self._getStealthMode() is False:
print 'Calculating kurtosis ...' # print 'Calculating kurtosis ...'
y = np.power(xnp, 4) y = np.power(xnp, 4)
y1 = np.power(xnp, 2) y1 = np.power(xnp, 2)