reformatting code for reasons of coding conventions

This commit is contained in:
Sebastian Wehling-Benatelli 2015-06-23 08:22:59 +02:00
parent 9ec7da7e4e
commit bb6ebc7ee1

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@ -393,8 +393,8 @@ def wadaticheck(pickdic, dttolerance, iplot):
: param: pickdic, dictionary containing picks and quality parameters : param: pickdic, dictionary containing picks and quality parameters
: type: dictionary : type: dictionary
: param: dttolerance, maximum adjusted deviation of S-P time from : param: dttolerance, maximum adjusted deviation of S-P time from
S-P time regression S-P time regression
: type: float : type: float
@ -423,15 +423,15 @@ def wadaticheck(pickdic, dttolerance, iplot):
if len(SPtimes) >= 3: if len(SPtimes) >= 3:
# calculate slope # calculate slope
p1 = np.polyfit(Ppicks, SPtimes, 1) p1 = np.polyfit(Ppicks, SPtimes, 1)
wdfit = np.polyval(p1, Ppicks) wdfit = np.polyval(p1, Ppicks)
wfitflag = 0 wfitflag = 0
# calculate vp/vs ratio before check # calculate vp/vs ratio before check
vpvsr = p1[0] + 1 vpvsr = p1[0] + 1
print 'wadaticheck: Average Vp/Vs ratio before check:', vpvsr print 'wadaticheck: Average Vp/Vs ratio before check:', vpvsr
checkedPpicks = [] checkedPpicks = []
checkedSpicks = [] checkedSpicks = []
checkedSPtimes = [] checkedSPtimes = []
@ -443,7 +443,7 @@ def wadaticheck(pickdic, dttolerance, iplot):
ii += 1 ii += 1
# check, if deviation is larger than adjusted # check, if deviation is larger than adjusted
if wddiff >= dttolerance: if wddiff >= dttolerance:
# mark onset and downgrade S-weight to 9 # mark onset and downgrade S-weight to 9
# (not used anymore) # (not used anymore)
marker = 'badWadatiCheck' marker = 'badWadatiCheck'
pickdic[key]['S']['weight'] = 9 pickdic[key]['S']['weight'] = 9
@ -459,7 +459,7 @@ def wadaticheck(pickdic, dttolerance, iplot):
pickdic[key]['S']['marked'] = marker pickdic[key]['S']['marked'] = marker
# calculate new slope # calculate new slope
p2 = np.polyfit(checkedPpicks, checkedSPtimes, 1) p2 = np.polyfit(checkedPpicks, checkedSPtimes, 1)
wdfit2 = np.polyval(p2, checkedPpicks) wdfit2 = np.polyval(p2, checkedPpicks)
@ -468,7 +468,7 @@ def wadaticheck(pickdic, dttolerance, iplot):
print 'wadaticheck: Average Vp/Vs ratio after check:', cvpvsr print 'wadaticheck: Average Vp/Vs ratio after check:', cvpvsr
checkedonsets = pickdic checkedonsets = pickdic
else: else:
print 'wadaticheck: Not enough S-P times available for reliable regression!' print 'wadaticheck: Not enough S-P times available for reliable regression!'
print 'Skip wadati check!' print 'Skip wadati check!'