1 # Copyright (C) 2008-2010 Alberto Gomez-Casado
4 # Massimo Sandal <devicerandom@gmail.com>
5 # W. Trevor King <wking@drexel.edu>
7 # This file is part of Hooke.
9 # Hooke is free software: you can redistribute it and/or modify it
10 # under the terms of the GNU Lesser General Public License as
11 # published by the Free Software Foundation, either version 3 of the
12 # License, or (at your option) any later version.
14 # Hooke is distributed in the hope that it will be useful, but WITHOUT
15 # ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
16 # or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General
17 # Public License for more details.
19 # You should have received a copy of the GNU Lesser General Public
20 # License along with Hooke. If not, see
21 # <http://www.gnu.org/licenses/>.
23 """The ``vclamp`` module provides :class:`VelocityClampPlugin` and
24 several associated :class:`hooke.command.Command`\s for handling
25 common velocity clamp analysis tasks.
33 from ..command import Command, Argument, Failure, NullQueue
34 from ..config import Setting
35 from ..curve import Data
36 from ..plugin import Plugin
37 from ..util.fit import PoorFit, ModelFitter
38 from ..util.si import join_data_label, split_data_label
39 from .curve import CurveArgument
42 def scale(hooke, curve, block=None):
43 """Run 'add block force array' on `block`.
45 Runs 'zero block surface contact point' first, if necessary. Does
46 not run either command if the columns they add to the block are
49 If `block` is `None`, scale all blocks in `curve`.
51 commands = hooke.commands
52 contact = [c for c in hooke.commands
53 if c.name == 'zero block surface contact point'][0]
54 force = [c for c in hooke.commands if c.name == 'add block force array'][0]
55 cant_adjust = [c for c in hooke.commands
56 if c.name == 'add block cantilever adjusted extension array'][0]
58 outqueue = NullQueue()
60 for i in range(len(curve.data)):
61 scale(hooke, curve, block=i)
63 params = {'curve':curve, 'block':block}
65 if ('surface distance (m)' not in b.info['columns']
66 or 'surface deflection (m)' not in b.info['columns']):
68 contact.run(hooke, inqueue, outqueue, **params)
70 raise PoorFit('Could not fit %s %s: %s'
71 % (curve.path, block, str(e)))
72 if ('deflection (N)' not in b.info['columns']):
73 force.run(hooke, inqueue, outqueue, **params)
74 if ('cantilever adjusted extension (m)' not in b.info['columns']):
75 cant_adjust.run(hooke, inqueue, outqueue, **params)
78 class SurfacePositionModel (ModelFitter):
79 """Bilinear surface position model.
81 The bilinear model is symmetric, but the parameter guessing and
82 sanity checks assume the contact region occurs for lower indicies
83 ("left of") the non-contact region. We also assume that
84 tip-surface attractions produce positive deflections.
88 Algorithm borrowed from WTK's `piezo package`_, specifically
89 from :func:`piezo.z_piezo_utils.analyzeSurfPosData`.
92 http://www.physics.drexel.edu/~wking/code/git/git.php?p=piezo.git
94 Fits the data to the bilinear :method:`model`.
96 In order for this model to produce a satisfactory fit, there
97 should be enough data in the off-surface region that interactions
98 due to proteins, etc. will not seriously skew the fit in the
101 def model(self, params):
102 """A continuous, bilinear model.
109 p_0 + p_1 x & \text{if $x <= p_2$}, \\
110 p_0 + p_1 p_2 + p_3 (x-p_2) & \text{if $x >= p_2$}.
113 Where :math:`p_0` is a vertical offset, :math:`p_1` is the slope
114 of the first region, :math:`p_2` is the transition location, and
115 :math:`p_3` is the slope of the second region.
117 p = params # convenient alias
118 if self.info.get('force zero non-contact slope', None) == True:
120 p.append(0.) # restore the non-contact slope parameter
121 r2 = numpy.round(abs(p[2]))
123 self._model_data[:r2] = p[0] + p[1] * numpy.arange(r2)
124 if r2 < len(self._data)-1:
125 self._model_data[r2:] = \
126 p[0] + p[1]*p[2] + p[3] * numpy.arange(len(self._data)-r2)
127 return self._model_data
129 def set_data(self, data, info=None):
130 super(SurfacePositionModel, self).set_data(data, info)
134 self.info['min position'] = 0
135 self.info['max position'] = len(data)
136 self.info['max deflection'] = data.max()
137 self.info['min deflection'] = data.min()
138 self.info['position range'] = self.info['max position'] - self.info['min position']
139 self.info['deflection range'] = self.info['max deflection'] - self.info['min deflection']
141 def guess_initial_params(self, outqueue=None):
142 """Guess the initial parameters.
146 We guess initial parameters such that the offset (:math:`p_1`)
147 matches the minimum deflection, the kink (:math:`p_2`) occurs in
148 the middle of the data, the initial (contact) slope (:math:`p_0`)
149 produces the maximum deflection at the left-most point, and the
150 final (non-contact) slope (:math:`p_3`) is zero.
152 left_offset = self.info['min deflection']
153 left_slope = 2*(self.info['deflection range']
154 /self.info['position range'])
155 kink_position = (self.info['max position']
156 +self.info['min position'])/2.0
158 self.info['guessed contact slope'] = left_slope
159 params = [left_offset, left_slope, kink_position, right_slope]
160 if self.info.get('force zero non-contact slope', None) == True:
164 def guess_scale(self, params, outqueue=None):
165 """Guess the parameter scales.
169 We guess offset scale (:math:`p_0`) as one tenth of the total
170 deflection range, the kink scale (:math:`p_2`) as one tenth of
171 the total index range, the initial (contact) slope scale
172 (:math:`p_1`) as one tenth of the contact slope estimation,
173 and the final (non-contact) slope scale (:math:`p_3`) is as
174 one tenth of the initial slope scale.
176 offset_scale = self.info['deflection range']/10.
177 left_slope_scale = abs(params[1])/10.
178 kink_scale = self.info['position range']/10.
179 right_slope_scale = left_slope_scale/10.
180 scale = [offset_scale, left_slope_scale, kink_scale, right_slope_scale]
181 if self.info.get('force zero non-contact slope', None) == True:
185 def fit(self, *args, **kwargs):
186 self.info['guessed contact slope'] = None
187 params = super(SurfacePositionModel, self).fit(*args, **kwargs)
188 params[2] = abs(params[2])
189 if self.info.get('force zero non-contact slope', None) == True:
190 params = list(params)
191 params.append(0.) # restore the non-contact slope parameter
193 # check that the fit is reasonable, see the :meth:`model` docstring
194 # for parameter descriptions. HACK: hardcoded cutoffs.
195 if abs(params[3]*10) > abs(params[1]) :
196 raise PoorFit('Slope in non-contact region, or no slope in contact')
197 if params[2] < self.info['min position']+0.02*self.info['position range']:
199 'No kink (kink %g less than %g, need more space to left)'
201 self.info['min position']+0.02*self.info['position range']))
202 if params[2] > self.info['max position']-0.02*self.info['position range']:
204 'No kink (kink %g more than %g, need more space to right)'
206 self.info['max position']-0.02*self.info['position range']))
207 if (self.info['guessed contact slope'] != None
208 and abs(params[1]) < 0.5 * abs(self.info['guessed contact slope'])):
209 raise PoorFit('Too far (contact slope %g, but expected ~%g'
210 % (params[3], self.info['guessed contact slope']))
213 class VelocityClampPlugin (Plugin):
215 super(VelocityClampPlugin, self).__init__(name='vclamp')
217 SurfaceContactCommand(self), ForceCommand(self),
218 CantileverAdjustedExtensionCommand(self),
221 def default_settings(self):
223 Setting(section=self.setting_section, help=self.__doc__),
224 Setting(section=self.setting_section,
225 option='surface contact point algorithm',
227 help='Select the surface contact point algorithm. See the documentation for descriptions of available algorithms.')
231 class SurfaceContactCommand (Command):
232 """Automatically determine a block's surface contact point.
234 You can select the contact point algorithm with the creatively
235 named `surface contact point algorithm` configuration setting.
236 Currently available options are:
238 * fmms (:meth:`find_contact_point_fmms`)
239 * ms (:meth:`find_contact_point_ms`)
240 * wtk (:meth:`find_contact_point_wtk`)
242 def __init__(self, plugin):
243 super(SurfaceContactCommand, self).__init__(
244 name='zero block surface contact point',
247 Argument(name='block', aliases=['set'], type='int', default=0,
249 Data block for which the force should be calculated. For an
250 approach/retract force curve, `0` selects the approaching curve and `1`
251 selects the retracting curve.
253 Argument(name='input distance column', type='string',
254 default='z piezo (m)',
256 Name of the column to use as the surface positioning input.
258 Argument(name='input deflection column', type='string',
259 default='deflection (m)',
261 Name of the column to use as the deflection input.
263 Argument(name='output distance column', type='string',
264 default='surface distance',
266 Name of the column (without units) to use as the surface positioning output.
268 Argument(name='output deflection column', type='string',
269 default='surface deflection',
271 Name of the column (without units) to use as the deflection output.
273 Argument(name='distance info name', type='string',
274 default='surface distance offset',
276 Name (without units) for storing the distance offset in the `.info` dictionary.
278 Argument(name='deflection info name', type='string',
279 default='surface deflection offset',
281 Name (without units) for storing the deflection offset in the `.info` dictionary.
283 Argument(name='fit parameters info name', type='string',
284 default='surface deflection offset',
286 Name (without units) for storing the deflection offset in the `.info` dictionary.
289 help=self.__doc__, plugin=plugin)
291 def _run(self, hooke, inqueue, outqueue, params):
292 data = params['curve'].data[params['block']]
293 # HACK? rely on params['curve'] being bound to the local hooke
294 # playlist (i.e. not a copy, as you would get by passing a
295 # curve through the queue). Ugh. Stupid queues. As an
296 # alternative, we could pass lookup information through the
298 new = Data((data.shape[0], data.shape[1]+2), dtype=data.dtype)
299 new.info = copy.deepcopy(data.info)
301 name,dist_units = split_data_label(params['input distance column'])
302 name,def_units = split_data_label(params['input deflection column'])
303 new.info['columns'].extend([
304 join_data_label(params['output distance column'], dist_units),
305 join_data_label(params['output deflection column'], def_units),
307 dist_data = data[:,data.info['columns'].index(
308 params['input distance column'])]
309 def_data = data[:,data.info['columns'].index(
310 params['input deflection column'])]
311 i,def_offset,ps = self.find_contact_point(
312 params['curve'], dist_data, def_data, outqueue)
313 dist_offset = dist_data[i]
314 new.info[join_data_label(params['distance info name'], dist_units
316 new.info[join_data_label(params['deflection info name'], def_units
318 new.info[params['fit parameters info name']] = ps
319 new[:,-2] = dist_data - dist_offset
320 new[:,-1] = def_data - def_offset
321 params['curve'].data[params['block']] = new
323 def find_contact_point(self, curve, z_data, d_data, outqueue=None):
324 """Railyard for the `find_contact_point_*` family.
326 Uses the `surface contact point algorithm` configuration
327 setting to call the appropriate backend algorithm.
329 fn = getattr(self, 'find_contact_point_%s'
330 % self.plugin.config['surface contact point algorithm'])
331 return fn(curve, z_data, d_data, outqueue)
333 def find_contact_point_fmms(self, curve, z_data, d_data, outqueue=None):
334 """Algorithm by Francesco Musiani and Massimo Sandal.
340 0) Driver-specific workarounds, e.g. deal with the PicoForce
341 trigger bug by excluding retraction portions with excessive
343 1) Select the second half (non-contact side) of the retraction
345 2) Fit the selection to a line.
346 3) If the fit is not almost horizontal, halve the selection
348 4) Average the selection and use it as a baseline.
349 5) Slide in from the start (contact side) of the retraction
350 curve, until you find a point with greater than baseline
351 deflection. That point is the contact point.
353 if curve.info['filetype'] == 'picoforce':
354 # Take care of the picoforce trigger bug (TODO: example
355 # data file demonstrating the bug). We exclude portions
356 # of the curve that have too much standard deviation.
357 # Yes, a lot of magic is here.
358 check_start = len(d_data)-len(d_data)/20
359 monster_start = len(d_data)
361 # look at the non-contact tail
362 non_monster = d_data[check_start:monster_start]
363 if non_monster.std() < 2e-10: # HACK: hardcoded cutoff
365 else: # move further away from the monster
366 check_start -= len(d_data)/50
367 monster_start -= len(d_data)/50
368 z_data = z_data[:monster_start]
369 d_data = d_data[:monster_start]
371 # take half of the thing to start
372 selection_start = len(d_data)/2
374 z_chunk = z_data[selection_start:]
375 d_chunk = d_data[selection_start:]
376 slope,intercept,r,two_tailed_prob,stderr_of_the_estimate = \
377 scipy.stats.linregress(z_chunk, d_chunk)
378 # We stop if we found an almost-horizontal fit or if we're
379 # getting to small a selection. FIXME: 0.1 and 5./6 here
380 # are "magic numbers" (although reasonable)
381 if (abs(slope) < 0.1 # deflection (m) / surface (m)
382 or selection_start > 5./6*len(d_data)):
384 selection_start += 10
386 d_baseline = d_chunk.mean()
388 # find the first point above the calculated baseline
390 while i < len(d_data) and d_data[i] < ymean:
392 return (i, d_baseline, {})
394 def find_contact_point_ms(self, curve, z_data, d_data, outqueue=None):
395 """Algorithm by Massimo Sandal.
399 WTK: At least the commits are by Massimo, and I see no notes
400 attributing the algorithm to anyone else.
406 xext=raw_plot.vectors[0][0]
407 yext=raw_plot.vectors[0][1]
408 xret2=raw_plot.vectors[1][0]
409 yret=raw_plot.vectors[1][1]
411 first_point=[xext[0], yext[0]]
412 last_point=[xext[-1], yext[-1]]
414 #regr=scipy.polyfit(first_point, last_point,1)[0:2]
415 diffx=abs(first_point[0]-last_point[0])
416 diffy=abs(first_point[1]-last_point[1])
418 #using polyfit results in numerical errors. good old algebra.
420 b=first_point[1]-(a*first_point[0])
421 baseline=scipy.polyval((a,b), xext)
423 ysub=[item-basitem for item,basitem in zip(yext,baseline)]
425 contact=ysub.index(min(ysub))
427 return xext,ysub,contact
429 #now, exploit a ClickedPoint instance to calculate index...
431 dummy.absolute_coords=(x_intercept,y_intercept)
432 dummy.find_graph_coords(xret2,yret)
435 return dummy.index, regr, regr_contact
439 def find_contact_point_wtk(self, curve, z_data, d_data, outqueue=None):
440 """Algorithm by W. Trevor King.
444 Uses :func:`analyze_surf_pos_data_wtk` internally.
446 reverse = z_data[0] > z_data[-1]
447 if reverse == True: # approaching, contact region on the right
448 d_data = d_data[::-1]
449 s = SurfacePositionModel(d_data)
450 s.info['force zero non-contact slope'] = True
451 offset,contact_slope,surface_index,non_contact_slope = s.fit(
455 'contact slope': contact_slope,
456 'surface index': surface_index,
457 'non-contact slope': non_contact_slope,
460 deflection_offset = offset + contact_slope*surface_index,
462 surface_index = len(d_data)-1-surface_index
463 return (numpy.round(surface_index), deflection_offset, info)
466 class ForceCommand (Command):
467 """Convert a deflection column from meters to newtons.
469 def __init__(self, plugin):
470 super(ForceCommand, self).__init__(
471 name='add block force array',
474 Argument(name='block', aliases=['set'], type='int', default=0,
476 Data block for which the force should be calculated. For an
477 approach/retract force curve, `0` selects the approaching curve and `1`
478 selects the retracting curve.
480 Argument(name='input deflection column', type='string',
481 default='surface deflection (m)',
483 Name of the column to use as the deflection input.
485 Argument(name='output deflection column', type='string',
486 default='deflection',
488 Name of the column (without units) to use as the deflection output.
490 Argument(name='spring constant info name', type='string',
491 default='spring constant (N/m)',
493 Name of the spring constant in the `.info` dictionary.
496 help=self.__doc__, plugin=plugin)
498 def _run(self, hooke, inqueue, outqueue, params):
499 data = params['curve'].data[params['block']]
500 # HACK? rely on params['curve'] being bound to the local hooke
501 # playlist (i.e. not a copy, as you would get by passing a
502 # curve through the queue). Ugh. Stupid queues. As an
503 # alternative, we could pass lookup information through the
505 new = Data((data.shape[0], data.shape[1]+1), dtype=data.dtype)
506 new.info = copy.deepcopy(data.info)
508 new.info['columns'].append(
509 join_data_label(params['output deflection column'], 'N'))
510 d_data = data[:,data.info['columns'].index(
511 params['input deflection column'])]
512 new[:,-1] = d_data * data.info[params['spring constant info name']]
513 params['curve'].data[params['block']] = new
516 class CantileverAdjustedExtensionCommand (Command):
517 """Remove cantilever extension from a total extension column.
519 def __init__(self, plugin):
520 super(CantileverAdjustedExtensionCommand, self).__init__(
521 name='add block cantilever adjusted extension array',
524 Argument(name='block', aliases=['set'], type='int', default=0,
526 Data block for which the adjusted extension should be calculated. For
527 an approach/retract force curve, `0` selects the approaching curve and
528 `1` selects the retracting curve.
530 Argument(name='input distance column', type='string',
531 default='surface distance (m)',
533 Name of the column to use as the distance input.
535 Argument(name='input deflection column', type='string',
536 default='deflection (N)',
538 Name of the column to use as the deflection input.
540 Argument(name='output distance column', type='string',
541 default='cantilever adjusted extension',
543 Name of the column (without units) to use as the deflection output.
545 Argument(name='spring constant info name', type='string',
546 default='spring constant (N/m)',
548 Name of the spring constant in the `.info` dictionary.
551 help=self.__doc__, plugin=plugin)
553 def _run(self, hooke, inqueue, outqueue, params):
554 data = params['curve'].data[params['block']]
555 # HACK? rely on params['curve'] being bound to the local hooke
556 # playlist (i.e. not a copy, as you would get by passing a
557 # curve through the queue). Ugh. Stupid queues. As an
558 # alternative, we could pass lookup information through the
560 new = Data((data.shape[0], data.shape[1]+1), dtype=data.dtype)
561 new.info = copy.deepcopy(data.info)
563 new.info['columns'].append(
564 join_data_label(params['output distance column'], 'm'))
565 z_data = data[:,data.info['columns'].index(
566 params['input distance column'])]
567 d_data = data[:,data.info['columns'].index(
568 params['input deflection column'])]
569 k = data.info[params['spring constant info name']]
571 z_name,z_unit = split_data_label(params['input distance column'])
572 assert z_unit == 'm', params['input distance column']
573 d_name,d_unit = split_data_label(params['input deflection column'])
574 assert d_unit == 'N', params['input deflection column']
575 k_name,k_unit = split_data_label(params['spring constant info name'])
576 assert k_unit == 'N/m', params['spring constant info name']
578 new[:,-1] = z_data - d_data / k
579 params['curve'].data[params['block']] = new
582 class generalvclampCommands(object):
584 def do_forcebase(self,args):
588 Measures the difference in force (in pN) between a point and a baseline
589 took as the average between two points.
591 The baseline is fixed once for a given curve and different force measurements,
592 unless the user wants it to be recalculated
594 Syntax: forcebase [rebase]
595 rebase: Forces forcebase to ask again the baseline
596 max: Instead of asking for a point to measure, asks for two points and use
597 the maximum peak in between
599 rebase=False #if true=we select rebase
600 maxpoint=False #if true=we measure the maximum peak
602 plot=self._get_displayed_plot()
603 whatset=1 #fixme: for all sets
604 if 'rebase' in args or (self.basecurrent != self.current.path):
610 print 'Select baseline'
611 self.basepoints=self._measure_N_points(N=2, whatset=whatset)
612 self.basecurrent=self.current.path
615 print 'Select two points'
616 points=self._measure_N_points(N=2, whatset=whatset)
617 boundpoints=[points[0].index, points[1].index]
620 y=min(plot.vectors[whatset][1][boundpoints[0]:boundpoints[1]])
622 print 'Chosen interval not valid. Try picking it again. Did you pick the same point as begin and end of interval?'
624 print 'Select point to measure'
625 points=self._measure_N_points(N=1, whatset=whatset)
626 #whatplot=points[0].dest
627 y=points[0].graph_coords[1]
629 #fixme: code duplication
630 boundaries=[self.basepoints[0].index, self.basepoints[1].index]
632 to_average=plot.vectors[whatset][1][boundaries[0]:boundaries[1]] #y points to average
634 avg=np.mean(to_average)
636 print str(forcebase*(10**12))+' pN'
637 to_dump='forcebase '+self.current.path+' '+str(forcebase*(10**12))+' pN'
638 self.outlet.push(to_dump)
640 def plotmanip_multiplier(self, plot, current):
642 Multiplies all the Y values of an SMFS curve by a value stored in the 'force_multiplier'
643 configuration variable. Useful for calibrations and other stuff.
647 if current.curve.experiment != 'smfs':
650 #only one set is present...
651 if len(self.plots[0].vectors) != 2:
655 if (self.config['force_multiplier']==1):
658 for i in range(len(plot.vectors[0][1])):
659 plot.vectors[0][1][i]=plot.vectors[0][1][i]*self.config['force_multiplier']
661 for i in range(len(plot.vectors[1][1])):
662 plot.vectors[1][1][i]=plot.vectors[1][1][i]*self.config['force_multiplier']
667 def plotmanip_flatten(self, plot, current, customvalue=False):
669 Subtracts a polynomial fit to the non-contact part of the curve, as to flatten it.
670 the best polynomial fit is chosen among polynomials of degree 1 to n, where n is
671 given by the configuration file or by the customvalue.
673 customvalue= int (>0) --> starts the function even if config says no (default=False)
677 if current.curve.experiment != 'smfs':
680 #only one set is present...
681 if len(self.plots[0].vectors) != 2:
684 #config is not flatten, and customvalue flag is false too
685 if (not self.config['flatten']) and (not customvalue):
692 max_cycles=customvalue
694 max_cycles=self.config['flatten'] #Using > 1 usually doesn't help and can give artefacts. However, it could be useful too.
696 contact_index=self.find_contact_point()
698 valn=[[] for item in range(max_exponent)]
699 yrn=[0.0 for item in range(max_exponent)]
700 errn=[0.0 for item in range(max_exponent)]
702 #Check if we have a proper numerical value
706 #Loudly and annoyingly complain if it's not a number, then fallback to zero
707 print '''Warning: flatten value is not a number!
708 Use "set flatten" or edit hooke.conf to set it properly
712 for i in range(int(max_cycles)):
714 x_ext=plot.vectors[0][0][contact_index+delta_contact:]
715 y_ext=plot.vectors[0][1][contact_index+delta_contact:]
716 x_ret=plot.vectors[1][0][contact_index+delta_contact:]
717 y_ret=plot.vectors[1][1][contact_index+delta_contact:]
718 for exponent in range(max_exponent):
720 valn[exponent]=sp.polyfit(x_ext,y_ext,exponent)
721 yrn[exponent]=sp.polyval(valn[exponent],x_ret)
722 errn[exponent]=sp.sqrt(sum((yrn[exponent]-y_ext)**2)/float(len(y_ext)))
724 print 'Cannot flatten!'
728 best_exponent=errn.index(min(errn))
731 ycorr_ext=y_ext-yrn[best_exponent]+y_ext[0] #noncontact part
732 yjoin_ext=np.array(plot.vectors[0][1][0:contact_index+delta_contact]) #contact part
734 ycorr_ret=y_ret-yrn[best_exponent]+y_ext[0] #noncontact part
735 yjoin_ret=np.array(plot.vectors[1][1][0:contact_index+delta_contact]) #contact part
737 ycorr_ext=np.concatenate((yjoin_ext, ycorr_ext))
738 ycorr_ret=np.concatenate((yjoin_ret, ycorr_ret))
740 plot.vectors[0][1]=list(ycorr_ext)
741 plot.vectors[1][1]=list(ycorr_ret)
746 def do_slope(self,args):
750 Measures the slope of a delimited chunk on the return trace.
751 The chunk can be delimited either by two manual clicks, or have
752 a fixed width, given as an argument.
754 Syntax: slope [width]
755 The facultative [width] parameter specifies how many
756 points will be considered for the fit. If [width] is
757 specified, only one click will be required.
758 (c) Marco Brucale, Massimo Sandal 2008
761 # Reads the facultative width argument
767 # Decides between the two forms of user input, as per (args)
769 # Gets the Xs of two clicked points as indexes on the current curve vector
770 print 'Click twice to delimit chunk'
771 points=self._measure_N_points(N=2,whatset=1)
773 print 'Click once on the leftmost point of the chunk (i.e.usually the peak)'
774 points=self._measure_N_points(N=1,whatset=1)
776 slope=self._slope(points,fitspan)
778 # Outputs the relevant slope parameter
781 to_dump='slope '+self.current.path+' '+str(slope)
782 self.outlet.push(to_dump)
784 def _slope(self,points,fitspan):
785 # Calls the function linefit_between
786 parameters=[0,0,[],[]]
788 clickedpoints=[points[0].index,points[1].index]
791 clickedpoints=[points[0].index-fitspan,points[0].index]
794 parameters=self.linefit_between(clickedpoints[0],clickedpoints[1])
796 print 'Cannot fit. Did you click twice the same point?'
799 # Outputs the relevant slope parameter
801 print str(parameters[0])
802 to_dump='slope '+self.curve.path+' '+str(parameters[0])
803 self.outlet.push(to_dump)
805 # Makes a vector with the fitted parameters and sends it to the GUI
806 xtoplot=parameters[2]
810 ytoplot.append((x*parameters[0])+parameters[1])
812 clickvector_x, clickvector_y=[], []
814 clickvector_x.append(item.graph_coords[0])
815 clickvector_y.append(item.graph_coords[1])
817 lineplot=self._get_displayed_plot(0) #get topmost displayed plot
819 lineplot.add_set(xtoplot,ytoplot)
820 lineplot.add_set(clickvector_x, clickvector_y)
823 if lineplot.styles==[]:
824 lineplot.styles=[None,None,None,'scatter']
826 lineplot.styles+=[None,'scatter']
827 if lineplot.colors==[]:
828 lineplot.colors=[None,None,'black',None]
830 lineplot.colors+=['black',None]
833 self._send_plot([lineplot])
838 def linefit_between(self,index1,index2,whatset=1):
840 Creates two vectors (xtofit,ytofit) slicing out from the
841 current return trace a portion delimited by the two indexes
843 Then does a least squares linear fit on that slice.
844 Finally returns [0]=the slope, [1]=the intercept of the
845 fitted 1st grade polynomial, and [2,3]=the actual (x,y) vectors
847 (c) Marco Brucale, Massimo Sandal 2008
849 # Translates the indexes into two vectors containing the x,y data to fit
850 xtofit=self.plots[0].vectors[whatset][0][index1:index2]
851 ytofit=self.plots[0].vectors[whatset][1][index1:index2]
853 # Does the actual linear fitting (simple least squares with numpy.polyfit)
855 linefit=np.polyfit(xtofit,ytofit,1)
857 return (linefit[0],linefit[1],xtofit,ytofit)
860 def fit_interval_nm(self,start_index,plot,nm,backwards):
862 Calculates the number of points to fit, given a fit interval in nm
863 start_index: index of point
865 backwards: if true, finds a point backwards.
867 whatset=1 #FIXME: should be decidable
868 x_vect=plot.vectors[1][0]
872 start=x_vect[start_index]
874 while abs(x_vect[i]-x_vect[start_index])*(10**9) < nm:
875 if i==0 or i==maxlen-1: #we reached boundaries of vector!
887 def find_current_peaks(self,noflatten, a=True, maxpeak=True):
890 a=self.convfilt_config['mindeviation']
894 print "Bad input, using default."
895 abs_devs=self.convfilt_config['mindeviation']
897 defplot=self.current.curve.default_plots()[0]
899 flatten=self._find_plotmanip('flatten') #Extract flatten plotmanip
900 defplot=flatten(defplot, self.current, customvalue=1) #Flatten curve before feeding it to has_peaks
901 pk_location,peak_size=self.has_peaks(defplot, abs_devs, maxpeak)
902 return pk_location, peak_size
905 def pickup_contact_point(self,N=1,whatset=1):
906 '''macro to pick up the contact point by clicking'''
907 contact_point=self._measure_N_points(N=1, whatset=1)[0]
908 contact_point_index=contact_point.index
909 self.wlccontact_point=contact_point
910 self.wlccontact_index=contact_point.index
911 self.wlccurrent=self.current.path
912 return contact_point, contact_point_index
915 def baseline_points(self,peak_location, displayed_plot):
916 clicks=self.config['baseline_clicks']
919 base_index_0=peak_location[-1]+self.fit_interval_nm(peak_location[-1], displayed_plot, self.config['auto_right_baseline'],False)
920 self.basepoints.append(self._clickize(displayed_plot.vectors[1][0],displayed_plot.vectors[1][1],base_index_0))
921 base_index_1=self.basepoints[0].index+self.fit_interval_nm(self.basepoints[0].index, displayed_plot, self.config['auto_left_baseline'],False)
922 self.basepoints.append(self._clickize(displayed_plot.vectors[1][0],displayed_plot.vectors[1][1],base_index_1))
924 print 'Select baseline'
926 self.basepoints=self._measure_N_points(N=1, whatset=1)
927 base_index_1=self.basepoints[0].index+self.fit_interval_nm(self.basepoints[0].index, displayed_plot, self.config['auto_left_baseline'], False)
928 self.basepoints.append(self._clickize(displayed_plot.vectors[1][0],displayed_plot.vectors[1][1],base_index_1))
930 self.basepoints=self._measure_N_points(N=2, whatset=1)
932 self.basecurrent=self.current.path
933 return self.basepoints