From: W. Trevor King Date: Sun, 8 Aug 2010 20:46:32 +0000 (-0400) Subject: Moved interesting old vclamp commands over into the curve plugin X-Git-Url: http://git.tremily.us/?a=commitdiff_plain;h=4bf0052cdbbfac3aad5c4ad7dea1ea20f4d35384;p=hooke.git Moved interesting old vclamp commands over into the curve plugin --- diff --git a/hooke/plugin/curve.py b/hooke/plugin/curve.py index efa09f7..4877b5b 100644 --- a/hooke/plugin/curve.py +++ b/hooke/plugin/curve.py @@ -430,3 +430,176 @@ Name of the new data block for storing the power spectrum (defaults to b[:,1] = power params['curve'].data.append(b) outqueue.put(b) + + +class OldCruft (object): + + def do_forcebase(self,args): + ''' + FORCEBASE + (generalvclamp.py) + Measures the difference in force (in pN) between a point and a baseline + took as the average between two points. + + The baseline is fixed once for a given curve and different force measurements, + unless the user wants it to be recalculated + ------------ + Syntax: forcebase [rebase] + rebase: Forces forcebase to ask again the baseline + max: Instead of asking for a point to measure, asks for two points and use + the maximum peak in between + ''' + rebase=False #if true=we select rebase + maxpoint=False #if true=we measure the maximum peak + + plot=self._get_displayed_plot() + whatset=1 #fixme: for all sets + if 'rebase' in args or (self.basecurrent != self.current.path): + rebase=True + if 'max' in args: + maxpoint=True + + if rebase: + print 'Select baseline' + self.basepoints=self._measure_N_points(N=2, whatset=whatset) + self.basecurrent=self.current.path + + if maxpoint: + print 'Select two points' + points=self._measure_N_points(N=2, whatset=whatset) + boundpoints=[points[0].index, points[1].index] + boundpoints.sort() + try: + y=min(plot.vectors[whatset][1][boundpoints[0]:boundpoints[1]]) + except ValueError: + print 'Chosen interval not valid. Try picking it again. Did you pick the same point as begin and end of interval?' + else: + print 'Select point to measure' + points=self._measure_N_points(N=1, whatset=whatset) + #whatplot=points[0].dest + y=points[0].graph_coords[1] + + #fixme: code duplication + boundaries=[self.basepoints[0].index, self.basepoints[1].index] + boundaries.sort() + to_average=plot.vectors[whatset][1][boundaries[0]:boundaries[1]] #y points to average + + avg=np.mean(to_average) + forcebase=abs(y-avg) + print str(forcebase*(10**12))+' pN' + to_dump='forcebase '+self.current.path+' '+str(forcebase*(10**12))+' pN' + self.outlet.push(to_dump) + + #---SLOPE--- + def do_slope(self,args): + ''' + SLOPE + (generalvclamp.py) + Measures the slope of a delimited chunk on the return trace. + The chunk can be delimited either by two manual clicks, or have + a fixed width, given as an argument. + --------------- + Syntax: slope [width] + The facultative [width] parameter specifies how many + points will be considered for the fit. If [width] is + specified, only one click will be required. + (c) Marco Brucale, Massimo Sandal 2008 + ''' + + # Reads the facultative width argument + try: + fitspan=int(args) + except: + fitspan=0 + + # Decides between the two forms of user input, as per (args) + if fitspan == 0: + # Gets the Xs of two clicked points as indexes on the current curve vector + print 'Click twice to delimit chunk' + points=self._measure_N_points(N=2,whatset=1) + else: + print 'Click once on the leftmost point of the chunk (i.e.usually the peak)' + points=self._measure_N_points(N=1,whatset=1) + + slope=self._slope(points,fitspan) + + # Outputs the relevant slope parameter + print 'Slope:' + print str(slope) + to_dump='slope '+self.current.path+' '+str(slope) + self.outlet.push(to_dump) + + def _slope(self,points,fitspan): + # Calls the function linefit_between + parameters=[0,0,[],[]] + try: + clickedpoints=[points[0].index,points[1].index] + clickedpoints.sort() + except: + clickedpoints=[points[0].index-fitspan,points[0].index] + + try: + parameters=self.linefit_between(clickedpoints[0],clickedpoints[1]) + except: + print 'Cannot fit. Did you click twice the same point?' + return + + # Outputs the relevant slope parameter + print 'Slope:' + print str(parameters[0]) + to_dump='slope '+self.curve.path+' '+str(parameters[0]) + self.outlet.push(to_dump) + + # Makes a vector with the fitted parameters and sends it to the GUI + xtoplot=parameters[2] + ytoplot=[] + x=0 + for x in xtoplot: + ytoplot.append((x*parameters[0])+parameters[1]) + + clickvector_x, clickvector_y=[], [] + for item in points: + clickvector_x.append(item.graph_coords[0]) + clickvector_y.append(item.graph_coords[1]) + + lineplot=self._get_displayed_plot(0) #get topmost displayed plot + + lineplot.add_set(xtoplot,ytoplot) + lineplot.add_set(clickvector_x, clickvector_y) + + + if lineplot.styles==[]: + lineplot.styles=[None,None,None,'scatter'] + else: + lineplot.styles+=[None,'scatter'] + if lineplot.colors==[]: + lineplot.colors=[None,None,'black',None] + else: + lineplot.colors+=['black',None] + + + self._send_plot([lineplot]) + + return parameters[0] + + + def linefit_between(self,index1,index2,whatset=1): + ''' + Creates two vectors (xtofit,ytofit) slicing out from the + current return trace a portion delimited by the two indexes + given as arguments. + Then does a least squares linear fit on that slice. + Finally returns [0]=the slope, [1]=the intercept of the + fitted 1st grade polynomial, and [2,3]=the actual (x,y) vectors + used for the fit. + (c) Marco Brucale, Massimo Sandal 2008 + ''' + # Translates the indexes into two vectors containing the x,y data to fit + xtofit=self.plots[0].vectors[whatset][0][index1:index2] + ytofit=self.plots[0].vectors[whatset][1][index1:index2] + + # Does the actual linear fitting (simple least squares with numpy.polyfit) + linefit=[] + linefit=np.polyfit(xtofit,ytofit,1) + + return (linefit[0],linefit[1],xtofit,ytofit) diff --git a/hooke/plugin/vclamp.py b/hooke/plugin/vclamp.py index 64b5913..26fa4ff 100644 --- a/hooke/plugin/vclamp.py +++ b/hooke/plugin/vclamp.py @@ -581,62 +581,6 @@ Name of the spring constant in the `.info` dictionary. class generalvclampCommands(object): - def do_forcebase(self,args): - ''' - FORCEBASE - (generalvclamp.py) - Measures the difference in force (in pN) between a point and a baseline - took as the average between two points. - - The baseline is fixed once for a given curve and different force measurements, - unless the user wants it to be recalculated - ------------ - Syntax: forcebase [rebase] - rebase: Forces forcebase to ask again the baseline - max: Instead of asking for a point to measure, asks for two points and use - the maximum peak in between - ''' - rebase=False #if true=we select rebase - maxpoint=False #if true=we measure the maximum peak - - plot=self._get_displayed_plot() - whatset=1 #fixme: for all sets - if 'rebase' in args or (self.basecurrent != self.current.path): - rebase=True - if 'max' in args: - maxpoint=True - - if rebase: - print 'Select baseline' - self.basepoints=self._measure_N_points(N=2, whatset=whatset) - self.basecurrent=self.current.path - - if maxpoint: - print 'Select two points' - points=self._measure_N_points(N=2, whatset=whatset) - boundpoints=[points[0].index, points[1].index] - boundpoints.sort() - try: - y=min(plot.vectors[whatset][1][boundpoints[0]:boundpoints[1]]) - except ValueError: - print 'Chosen interval not valid. Try picking it again. Did you pick the same point as begin and end of interval?' - else: - print 'Select point to measure' - points=self._measure_N_points(N=1, whatset=whatset) - #whatplot=points[0].dest - y=points[0].graph_coords[1] - - #fixme: code duplication - boundaries=[self.basepoints[0].index, self.basepoints[1].index] - boundaries.sort() - to_average=plot.vectors[whatset][1][boundaries[0]:boundaries[1]] #y points to average - - avg=np.mean(to_average) - forcebase=abs(y-avg) - print str(forcebase*(10**12))+' pN' - to_dump='forcebase '+self.current.path+' '+str(forcebase*(10**12))+' pN' - self.outlet.push(to_dump) - def plotmanip_multiplier(self, plot, current): ''' Multiplies all the Y values of an SMFS curve by a value stored in the 'force_multiplier' @@ -742,192 +686,3 @@ class generalvclampCommands(object): return plot - #---SLOPE--- - def do_slope(self,args): - ''' - SLOPE - (generalvclamp.py) - Measures the slope of a delimited chunk on the return trace. - The chunk can be delimited either by two manual clicks, or have - a fixed width, given as an argument. - --------------- - Syntax: slope [width] - The facultative [width] parameter specifies how many - points will be considered for the fit. If [width] is - specified, only one click will be required. - (c) Marco Brucale, Massimo Sandal 2008 - ''' - - # Reads the facultative width argument - try: - fitspan=int(args) - except: - fitspan=0 - - # Decides between the two forms of user input, as per (args) - if fitspan == 0: - # Gets the Xs of two clicked points as indexes on the current curve vector - print 'Click twice to delimit chunk' - points=self._measure_N_points(N=2,whatset=1) - else: - print 'Click once on the leftmost point of the chunk (i.e.usually the peak)' - points=self._measure_N_points(N=1,whatset=1) - - slope=self._slope(points,fitspan) - - # Outputs the relevant slope parameter - print 'Slope:' - print str(slope) - to_dump='slope '+self.current.path+' '+str(slope) - self.outlet.push(to_dump) - - def _slope(self,points,fitspan): - # Calls the function linefit_between - parameters=[0,0,[],[]] - try: - clickedpoints=[points[0].index,points[1].index] - clickedpoints.sort() - except: - clickedpoints=[points[0].index-fitspan,points[0].index] - - try: - parameters=self.linefit_between(clickedpoints[0],clickedpoints[1]) - except: - print 'Cannot fit. Did you click twice the same point?' - return - - # Outputs the relevant slope parameter - print 'Slope:' - print str(parameters[0]) - to_dump='slope '+self.curve.path+' '+str(parameters[0]) - self.outlet.push(to_dump) - - # Makes a vector with the fitted parameters and sends it to the GUI - xtoplot=parameters[2] - ytoplot=[] - x=0 - for x in xtoplot: - ytoplot.append((x*parameters[0])+parameters[1]) - - clickvector_x, clickvector_y=[], [] - for item in points: - clickvector_x.append(item.graph_coords[0]) - clickvector_y.append(item.graph_coords[1]) - - lineplot=self._get_displayed_plot(0) #get topmost displayed plot - - lineplot.add_set(xtoplot,ytoplot) - lineplot.add_set(clickvector_x, clickvector_y) - - - if lineplot.styles==[]: - lineplot.styles=[None,None,None,'scatter'] - else: - lineplot.styles+=[None,'scatter'] - if lineplot.colors==[]: - lineplot.colors=[None,None,'black',None] - else: - lineplot.colors+=['black',None] - - - self._send_plot([lineplot]) - - return parameters[0] - - - def linefit_between(self,index1,index2,whatset=1): - ''' - Creates two vectors (xtofit,ytofit) slicing out from the - current return trace a portion delimited by the two indexes - given as arguments. - Then does a least squares linear fit on that slice. - Finally returns [0]=the slope, [1]=the intercept of the - fitted 1st grade polynomial, and [2,3]=the actual (x,y) vectors - used for the fit. - (c) Marco Brucale, Massimo Sandal 2008 - ''' - # Translates the indexes into two vectors containing the x,y data to fit - xtofit=self.plots[0].vectors[whatset][0][index1:index2] - ytofit=self.plots[0].vectors[whatset][1][index1:index2] - - # Does the actual linear fitting (simple least squares with numpy.polyfit) - linefit=[] - linefit=np.polyfit(xtofit,ytofit,1) - - return (linefit[0],linefit[1],xtofit,ytofit) - - - def fit_interval_nm(self,start_index,plot,nm,backwards): - ''' - Calculates the number of points to fit, given a fit interval in nm - start_index: index of point - plot: plot to use - backwards: if true, finds a point backwards. - ''' - whatset=1 #FIXME: should be decidable - x_vect=plot.vectors[1][0] - - c=0 - i=start_index - start=x_vect[start_index] - maxlen=len(x_vect) - while abs(x_vect[i]-x_vect[start_index])*(10**9) < nm: - if i==0 or i==maxlen-1: #we reached boundaries of vector! - return c - - if backwards: - i-=1 - else: - i+=1 - c+=1 - return c - - - - def find_current_peaks(self,noflatten, a=True, maxpeak=True): - #Find peaks. - if a==True: - a=self.convfilt_config['mindeviation'] - try: - abs_devs=float(a) - except: - print "Bad input, using default." - abs_devs=self.convfilt_config['mindeviation'] - - defplot=self.current.curve.default_plots()[0] - if not noflatten: - flatten=self._find_plotmanip('flatten') #Extract flatten plotmanip - defplot=flatten(defplot, self.current, customvalue=1) #Flatten curve before feeding it to has_peaks - pk_location,peak_size=self.has_peaks(defplot, abs_devs, maxpeak) - return pk_location, peak_size - - - def pickup_contact_point(self,N=1,whatset=1): - '''macro to pick up the contact point by clicking''' - contact_point=self._measure_N_points(N=1, whatset=1)[0] - contact_point_index=contact_point.index - self.wlccontact_point=contact_point - self.wlccontact_index=contact_point.index - self.wlccurrent=self.current.path - return contact_point, contact_point_index - - - def baseline_points(self,peak_location, displayed_plot): - clicks=self.config['baseline_clicks'] - if clicks==0: - self.basepoints=[] - base_index_0=peak_location[-1]+self.fit_interval_nm(peak_location[-1], displayed_plot, self.config['auto_right_baseline'],False) - self.basepoints.append(self._clickize(displayed_plot.vectors[1][0],displayed_plot.vectors[1][1],base_index_0)) - base_index_1=self.basepoints[0].index+self.fit_interval_nm(self.basepoints[0].index, displayed_plot, self.config['auto_left_baseline'],False) - self.basepoints.append(self._clickize(displayed_plot.vectors[1][0],displayed_plot.vectors[1][1],base_index_1)) - elif clicks>0: - print 'Select baseline' - if clicks==1: - self.basepoints=self._measure_N_points(N=1, whatset=1) - base_index_1=self.basepoints[0].index+self.fit_interval_nm(self.basepoints[0].index, displayed_plot, self.config['auto_left_baseline'], False) - self.basepoints.append(self._clickize(displayed_plot.vectors[1][0],displayed_plot.vectors[1][1],base_index_1)) - else: - self.basepoints=self._measure_N_points(N=2, whatset=1) - - self.basecurrent=self.current.path - return self.basepoints