3js0 dZddlmZddlZddlZddlZddlZddlZddl Z ddl m Z ddl m Z ddl m Z ddl mZddlmZdd lmZdd lmZdd lmZdd lmZdd lmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZddlmZm Z ejBdZ"GddejFZ$GddejJe$Z&GddejNe$Z(Gdde(Z)Gdd e)Z*Gd!d"e(Z+Gd#d$e(Z,Gd%d&ejZe$Z.Gd'd(e.Z/Gd)d*e.Z0Gd+d,e.Z1Gd-d.ejde$Z3Gd/d0e3Z4Gd1d2e3Z5Gd3d4e3Z6Gd5d6ejne$Z8Gd7d8e8Z9Gd9d:e8Z:Gd;de<Z=Gd?d@e<Z>GdAdBej~e$Z@GdCdDe@ZAGdEdFeje$ZCGdGdHeCZDGdIdJeje$ZFGdKdLeFZGGdMdNe jZIGdOdPe jZJe/e0e1e9e:e)e*e+e,e>e=eAe4e5e6eDgZKeLdQk(rddlZejeJyy)Ra! Object definitions for plotting :class:`~music21.stream.Stream` objects. The :class:`~music21.graph.plot.PlotStream` object subclasses combine a Graph object with the PlotStreamMixin to give reusable approaches to graphing data and structures in :class:`~music21.stream.Stream` objects. ) annotationsN) correlate)discrete) reduction)windowed)base)chord)common)corpus) converter)dynamics) environment)features)note)prebase)stream)axis) primitives)GraphExceptionPlotStreamExceptionz graph.plotceZdZUdZej ej dZded<ddZddZ e d Z dd dd Z d Z d ZddZ ddZdZedZdZeddZe dZy)PlotStreamMixinzj This Mixin adds Stream extracting and Axis holding features to any class derived from Graph. xydict[str, type[axis.Axis]] axesClassesNTc ,|t|dstd|||_||_ddg|_d|_d|_|jjD]/\}}| |||}t|d|jz|1||_ y)Nelementsz!non-stream provided as argument: NoteChordTr) hasattrr streamObjrecurseclassFilterListmatchPitchCountForChordsdataritemssetattrupper savedKeywords)selfr#r$keywordsaxisName axisClassaxisObjs ?/DATA/.local/lib/python3.12/site-packages/music21/graph/plot.py__init__zPlotStreamMixin.__init__Cs  J)G%(I)&UV V" &0(,% #'#3#3#9#9#; Hi$#D(3fx~~'77A$< &cD|j}| t|}nd}d|S)av The representation of the Plot shows the stream repr in addition to the class name. >>> st = stream.Stream() >>> st.id = 'empty' >>> plot = graph.plot.ScatterPitchClassQuarterLength(st) >>> plot > >>> plot = graph.plot.ScatterPitchClassQuarterLength(None) >>> plot >>> plot.axisX >>> plot.axisY >>> axIsolated = graph.axis.DynamicsAxis(axisName='z') >>> axIsolated z (no stream)zfor )r#repr)r,s streamNames r1 _reprInternalzPlotStreamMixin._reprInternalUs-4 NN =aJ&Jj\""r3chg}dD]*}t||s|jt||,|S)a return a list of axisX, axisY, axisZ if any are defined in the class. Some might be None. >>> s = stream.Stream() >>> p = graph.plot.ScatterPitchClassOffset(s) >>> p.allAxes [, ] )axisXaxisYaxisZ)r"appendgetattr)r, allAxesListr.s r1allAxeszPlotStreamMixin.allAxesws: 3HtX&""74#:;4r3 callProcessc rtjr$ddlm}t ||rt |t sJ|j |jt|dr\|jrP|jd|jj|jd|jjt|dr\|jrP|jd|jj|jd|jj|r|jyy)z main routine to extract data, set axis labels, run process() on the underlying Graph object, and if self.doneAction is not None, either write or show the graph. r)Graphr;rr:rN)t TYPE_CHECKINGmusic21.graph.primitivesrD isinstancersetAxisKeywords extractDatar"r;setTicksticks setAxisLabellabelr:process)r,rBr-rDs r1runzPlotStreamMixin.runs ?? 6dE*z$/P PP   4 !djj MM#tzz//1 2   c4::#3#3 4 4 !djj MM#tzz//1 2   c4::#3#3 4  LLN r3c(|jD]}||j}|jD]c}|j|st |dkr$|dj |ddz}t ||sJt|||j|ey)a Configure axis parameters based on keywords given when creating the Plot. Looks in self.savedKeywords, in case any post creation manipulation needs to happen. Finds keywords that begin with x, y, z and sets the remainder of the keyword (lowercasing the first letter) as an attribute. Does not set any new attributes, only existing ones. >>> b = corpus.parse('bwv66.6') >>> hist = graph.plot.HistogramPitchSpace(b, xHideUnused=False) >>> hist.axisX.hideUnused True >>> hist.setAxisKeywords() >>> hist.axisX.hideUnused False N)r@r.r+ startswithlenlowerr"r))r,thisAxisthisAxisLetterkwshortKws r1rIzPlotStreamMixin.setAxisKeywordss& H%..N((}}^4r7Q;Q%++-"QR&0x1'4+=+=b+AB) %r3c<d|jvr td|jr|jj}n|jj }|j r|j |j }g|_|D]1}|j|}||jj|3|jt|jD]1\}}|j|jDcgc]}|| c}3ycc}w)Nz3Set all axes before calling extractData() via run()) r@rr$r#iterr%getElementsByClassr'processOneElementextendpostProcessData enumeratesetBoundariesFromData)r,sItereldataListirXds r1rJzPlotStreamMixin.extractDatas 4<< %&[\ \ <<NN**,ENN'')E   ,,T-A-ABE B--b1H#   * $T\\2KAx  * *$))+D)QAaD)+D E3+Ds D cptt|jDcgc]}g}}i}t|tj sJt |jD]1\}}|j||}t|ts||g}|||<3n|j||}|j||g|d|vryt|Dcgc] }t|c}} t| Dcgc]}|j} }|j| tt|} | Scc}wcc}wcc}w)a Get a list of data from a single element (generally a Note or chord): >>> n = note.Note('C#4') >>> n.offset = 10.25 >>> s = stream.Stream([n]) >>> pl = graph.plot.ScatterPitchClassOffset(s) >>> pl.processOneElement(n) [(10.25, 1, {})] >>> c = chord.Chord(['D4', 'E5']) >>> s.insert(5.0, c) >>> pl.processOneElement(c) [(5.0, 2, {}), (5.0, 4, {})] N)rangerVr@rHr r!rbextractOneElementlistextractChordDataMultiAxispostProcessElementmaxcopyr=zip) r,re_ elementValues formatDictrgrX axisValueevelementValueLengthformatDictList returnLists r1r_z!PlotStreamMixin.processOneElements1 9>c$,,>O8P+Q8P1B8P +Q)+ "ekk*(6 8$66r:F ")T2y7L!* I#, a  7!::2zJMJ?? =  M!BMb#b'M!BC5:;M5NO5N*//+5NO^,#}-. 3,R*"COs D)D.,D3cy)z Any processing that needs to take place for each element, independent of what the axis is finding can go here. For chords, a single formatDict applies to all pitches/notes in the chord. N)r,rertvaluess r1rnz"PlotStreamMixin.postProcessElements r3cF|jD]}|jy)N Call any post data processing routines here and on any axes. N)r@ra)r,rXs r1razPlotStreamMixin.postProcessDatas H  $ $ &%r3cg}d} |j||}||j||s0|D]+}d} |j||}||j|-|S#t$rYRwxYw#t$rY|SwxYw)z Look for Note-like attributes in a Chord. This is done by first looking at the Chord, and then, if attributes are not found, looking at each pitch. Returns a list of values. N)rkAttributeErrorr=)axcrtr|valuens r1extractChordDataOneAxisz'PlotStreamMixin.extractChordDataOneAxiss ((J7E   MM% 00J?E$MM%( #   & s"AA. A+*A+. A<;A<c|jDcgc]}|j|||}}g}t|j|D]\}}|r |j||f|D]3\}}|D])} |j | |} | |j| +5|j r|j||Scc}w#t $rY]wxYw)zB Returns a list of lists of values for each axis. )r@rrqr=rkrr&fillValueLists) r,rrtrrslookIntoChordForNotesGroupsrXr| destValuesrtargets r1rmz)PlotStreamMixin.extractChordDataMultiAxis9sTXS_S_`S_R55b!ZHS_ `&(# #DLL- @ Hf+22Hf3EF!A%@ Hj%77:FF%%%f- %@  ( (    .1a&sB8/B== C C ct|Dcgc] }t|c}}|D]&}|t|z }|r|d}n|}|s||g|zz }(ycc}w)a2 pads a list of lists so that each list has the same length. Pads with the first element of the list or nullFillValue if the list has no elements. Modifies in place so returns None Used by extractChordDataMultiAxis >>> l0 = [2, 3, 4] >>> l1 = [10, 20, 30, 40, 50] >>> l2 = [] >>> listOfLists = [l0, l1, l2] >>> graph.plot.PlotStream.fillValueLists(listOfLists) >>> listOfLists [[2, 3, 4, 2, 2], [10, 20, 30, 40, 50], [0, 0, 0, 0, 0]] rN)rorV)rs nullFillValueval maxLength shortAmountfillVals r1rzPlotStreamMixin.fillValueListsWsc&];]cS];<  C#c#h.Ka&'y;..!>> s = stream.Stream() >>> pScatter = graph.plot.ScatterPitchClassQuarterLength(s) >>> pScatter.id 'scatter-quarterLength-pitchClass' r-) graphTyper@ quantities)r,idNamer0r.s r1idzPlotStreamMixin.idusH||G))!,H cHn $F $  r3)NT)returnstrrBbool)rebase.Music21Object)rerrtdict[t.Any, t.Any]r|list[numbers.Real]rNone)r)__name__ __module__ __qualname____doc__rAxisr__annotations__r2r8propertyr@rPrIrJr_rnra staticmethodrrmrrr{r3r1rr<s59IIDII.NK+N&$ #D$*., CHF0)V  1  '9  %7  <@  '<<//:r3rceZdZdZddZy) PlotStreamz# A generic stream plotter. Nc tjj|fi|tj||fi|t j |d|_y)Nr)rrDr2rr OffsetAxisr:r,r#r-s r1r2zPlotStream.__init__sB!!$3(3  y=H=__T3/ r3Nrrrrr2r{r3r1rrs 0r3rceZdZdZddZy)Scatterz* Base class for 2D scatter plots. Nc rtjj|fi|tj||fi|yr)r GraphScatterr2rrs r1r2zScatter.__init__s0((::  y=H=r3rrr{r3r1rrs >r3rcbeZdZUdZej ej dZded<dfd Z xZ S)ScatterPitchSpaceQuarterLengthaX A scatter plot of pitch space and quarter length >>> s = corpus.parse('bach/bwv324.xml') >>> p = graph.plot.ScatterPitchSpaceQuarterLength(s) >>> p.doneAction = None #_DOCS_HIDE >>> p.id 'scatter-quarterLength-pitchSpace' >>> p.run() .. image:: images/ScatterPitchSpaceQuarterLength.* :width: 600 rrrc vt||fi|d|j_d|vrd|_d|vrd|_yy)NT figureSizertitlezPitch by Quarter Length Scatter)superr2r: useLogScalerrr,r#r- __class__s r1r2z'ScatterPitchSpaceQuarterLength.__init__sD /h/!%  x '$DO ( ":DJ #r3r) rrrrrQuarterLengthAxisPitchSpaceAxisrrr2 __classcell__rs@r1rrs5  # #  /K+ ;;r3rcbeZdZUdZej ej dZded<dfd Z xZ S)ScatterPitchClassQuarterLengtha A scatter plot of pitch class and quarter length >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.ScatterPitchClassQuarterLength(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.ScatterPitchClassQuarterLength(s) >>> p.id 'scatter-quarterLength-pitchClass' >>> p.run() .. image:: images/ScatterPitchClassQuarterLength.* :width: 600 rrrc >t||fi|d|vrd|_yy)Nrz%Pitch Class by Quarter Length Scatter)rr2rrs r1r2z'ScatterPitchClassQuarterLength.__init__s) /h/ ( "@DJ #r3r) rrrrrrPitchClassAxisrrr2rrs@r1rrs7  # #  /K+ AAr3rcbeZdZUdZej ej dZded<dfd Z xZ S)ScatterPitchClassOffseta A scatter plot of pitch class and offset >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.ScatterPitchClassOffset(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.ScatterPitchClassOffset(s) >>> p.id 'scatter-offset-pitchClass' >>> p.run() .. image:: images/ScatterPitchClassOffset.* :width: 600 rrrc jt||fi|d|vrd|_d|vrd|_d|vrd|_yy)Nr) rzPitch Class by Offset Scatteralphaffffff?rr2rrrrs r1r2z ScatterPitchClassOffset.__init__sI /h/ x '%DO ( "8DJ ( "DJ #r3r) rrrrrrrrrr2rrs@r1rrs3 __  /K+  r3rcleZdZUdZdZej ejdZde d<dfd Z dZ xZ S) ScatterPitchSpaceDynamicSymbolaH A graph of dynamics used by pitch space. >>> s = converter.parse('tinynotation: 4/4 C4 d E f', makeNotation=False) #_DOCS_HIDE >>> s.insert(0.0, dynamics.Dynamic('pp')) #_DOCS_HIDE >>> s.insert(2.0, dynamics.Dynamic('ff')) #_DOCS_HIDE >>> p = graph.plot.ScatterPitchSpaceDynamicSymbol(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('schumann_robert/opus41no1/movement2.xml') >>> #_DOCS_SHOW p = graph.plot.ScatterPitchSpaceDynamicSymbol(s) >>> p.run() .. image:: images/ScatterPitchSpaceDynamicSymbol.* :width: 600 ) rrrrc t||fi|d|j_d|vr|j|_d|vrd|_d|vrd|_yy)NFrrzDynamics by Pitch Scatterrr)rr2r:showEnharmonicfigureSizeDefaultrrrrs r1r2z'ScatterPitchSpaceDynamicSymbol.__init__sY /h/$) ! x '"44DO ( "4DJ ( "DJ #r3ctj|j}|jd}g|_|D]#\}}|jj ||if%|jDcgc]}|d }}|jDcgc]}|d }}|j j||jj||jycc}wcc}w)NT dataPointsrrS) r ActivityMatchr#pitchToDynamicr'r=r:rcr;ra)r,amamDatarrrhxValsyValss r1rJz*ScatterPitchSpaceDynamicSymbol.extractDatas  $ $T^^ 4""d"3 DAq II  aBZ ( $yy)y!1y)#yy)y!1y) ((/ ((/  *)s / C  C%r) rrrrrrr DynamicsAxisrrr2rJrrs@r1rrs;      /K+  r3rcjeZdZUdZej ej dZded<d dZ ddd d Z d Z y) HistogramzH Base class for histograms that plot one axis against its count rrrNc tjj|fi|tj||fi|d|vrd|_yy)Nr?)rGraphHistogramr2rrrs r1r2zHistogram.__init__:sD!!**4<8<  y=H= ( "DJ #r3TrAc tjrt|dr t|dsJ|j|j |j d|j j|j}|j d||jd|j j|jd|jj|r|jyy)zK Override run method to remap X data into individual bins. r:r;rrN) rErFr"rIrJrKr;rLremapXTicksDatarMrNr:rO)r,rBr- xTicksNews r1rPz Histogram.runAs ??4)gdG.D DD   c4::++-.((*  c9% #tzz//0 #tzz//0  LLN r3c|jj}|Dcic] }|d|d }}g}t|jdrD|jjdus,|jj|jj rt t|jD]O}|j|}|d}|dzf|ddz|j|<||vs5|dz||f}|j|Q|Sddl m } t t|jjt|jj dzD]k}||vr||} nJt|jdr2|jjs| j|j} nd} || f}|j|m|Scc}w) z[ Changes the ticks and data so that they both run 1, 2, 3, 4, etc. rrS hideUnusedTN)pitchblankLabelUnused)r:rLr"rminValuemaxValuerjrVr'r=music21rintrPitchname) r, xTicksOrigv xTickDictrrgdataValxDataValnewTickrrNs r1rzHistogram.remapXTicksDataSs ZZ%%' )34AQqT1Q4Z 4 \2djj6K6Kt6S::&&.::&&.3tyy>*))A,"1: !Ax'!"+5 ! y( 1ui&9:G$$W- +& &3tzz223S9L9L5MPQ5QR >%aLETZZ);rr) rrrrrr CountingAxisrrr2rPrr{r3r1rr1s<YY   /K+ *.$ r3rcheZdZUdZiej dejiZded<dfd Z xZ S)HistogramPitchSpacea A histogram of pitch space. >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.HistogramPitchSpace(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.HistogramPitchSpace(s) >>> p.id 'histogram-pitchSpace-count' >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/HistogramPitchSpace.* :width: 600 rrrc vt||fi|d|j_d|vrd|_d|vrd|_yy)NFrrrrzPitch Histogram)rr2r:rrrrs r1r2zHistogramPitchSpace.__init__sD /h/$) ! x '%DO ( "*DJ #r3r) rrrrrrrrrr2rrs@r1rrvs? /   / T /K+ ++r3rcheZdZUdZiej dejiZded<dfd Z xZ S)HistogramPitchClassa A histogram of pitch class >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.HistogramPitchClass(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.HistogramPitchClass(s) >>> p.id 'histogram-pitchClass-count' >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/HistogramPitchClass.* :width: 600 rrrc `t||fi|d|j_d|vrd|_yy)NFrzPitch Class Histogram)rr2r:rrrs r1r2zHistogramPitchClass.__init__s5 /h/$) ! ( "0DJ #r3r) rrrrrrrrrr2rrs@r1rrs?/   / T /K+ 11r3rcheZdZUdZiej dejiZded<dfd Z xZ S)HistogramQuarterLengtha A histogram of pitch class. >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.HistogramQuarterLength(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.HistogramQuarterLength(s) >>> p.id 'histogram-quarterLength-count' >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/HistogramQuarterLength.* :width: 600 rrrc t||fi|tj|d|_d|j_d|vrd|_yy)NrFrzQuarter Length Histogram)rr2rrr:rrrs r1r2zHistogramQuarterLength.__init__sI /h/++D#6 !&  ( "3DJ #r3r) rrrrrrrrrr2rrs@r1rrs?/   / T # #/K+ 44r3rcleZdZUdZej ej ej dZded<ddZ y)ScatterWeightedz Base class for histograms that plot one axis against its count. The count is stored as the Z axis, though it is represented as size. rrzrrNc tjj|fi|tj||fi|d|j_yNr)rGraphScatterWeightedr2rr< countAxesrs r1r2zScatterWeighted.__init__s<''00BB  y=H=) r3r) rrrrrrrrrr2r{r3r1rrs4 YY YY   /K+ *r3rc~eZdZUdZiej ejejdZde d<dfd Z xZ S)&ScatterWeightedPitchSpaceQuarterLengtha A graph of event, sorted by pitch, over time. >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.ScatterWeightedPitchSpaceQuarterLength(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.ScatterWeightedPitchSpaceQuarterLength(s) >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/ScatterWeightedPitchSpaceQuarterLength.* :width: 600 rrrc jt||fi|d|vrd|_d|vrd|_d|vrd|_yy)Nrr rz!Count of Pitch and Quarter Lengthr皙?rrs r1r2z/ScatterWeightedPitchSpaceQuarterLength.__init__sO   #! # x '$DO ( ">> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.ScatterWeightedPitchClassQuarterLength(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.ScatterWeightedPitchClassQuarterLength(s) >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/ScatterWeightedPitchClassQuarterLength.* :width: 600 rrrc jt||fi|d|vrd|_d|vrd|_d|vrd|_yy)Nrr r'Count of Pitch Class and Quarter Lengthrrrrs r1r2z/ScatterWeightedPitchClassQuarterLength.__init__sO   #! # x '$DO ( "BDJ ( "DJ #r3r) rrrrrrrrrrr2rrs@r1rrsF /  % %/  # #  /K+  r3rceZdZUdZiej ejejdZde d<dfd Z dZ xZ S)&ScatterWeightedPitchSpaceDynamicSymbola A graph of dynamics used by pitch space. >>> #_DOCS_SHOW s = corpus.parse('schumann_robert/opus41no1/movement2.xml') >>> s = converter.parse('tinynotation: 4/4 C4 d E f', makeNotation=False) #_DOCS_HIDE >>> s.insert(0.0, dynamics.Dynamic('pp')) #_DOCS_HIDE >>> s.insert(2.0, dynamics.Dynamic('ff')) #_DOCS_HIDE >>> p = graph.plot.ScatterWeightedPitchSpaceDynamicSymbol(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW p = graph.plot.ScatterWeightedPitchSpaceDynamicSymbol(s) >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/ScatterWeightedPitchSpaceDynamicSymbol.* :width: 600 rrrc t||fi|d|j_d|vrd|_d|vrd|_d|vrd|_d|vrd |_yy) NFr)rrrrrr tickFontSizer )rr2r:rrrrrrs r1r2z/ScatterWeightedPitchSpaceDynamicSymbol.__init__9sm   #! #%* ! x '&DO ( "BDJ ( "DJ  ) !D  *r3ctj|j}|jd|_|jDcgc]\}}| }}}|jDcgc]\}}| }}}|jDcgc] \}}||dg c}}|_|j j ||jj ||jycc}}wcc}}wcc}}w)NTrrS) rrr#rr'r:rcr;ra)r,rrunused_yrunused_xrrs r1rJz2ScatterWeightedPitchSpaceDynamicSymbol.extractDataJs  $ $T^^ 4%%%6 &*ii0i{q(i0&*ii0i{xi0+/995941aaAY95  ((/ ((/  105s C!$ C'C-r) rrrrrrrrrrr2rJrrs@r1rr#sF/  % %/    /K+ "" r3rceZdZUdZdZej jdzZdejiZ de d<e jZde d<dd Zed Zd d dd ZdZdZdfd ZxZS)WindowedAnalysiszS Base Plot for windowed analysis routines such as Key Analysis or Ambitus. colorGrid) minWindow maxWindow windowStep windowTypecompressLegendprocessorClass graphLegendrrrztype[discrete.DiscreteAnalysis]processorClassDefaultc ,|j|_d|_d|_d|_d|_d|_d|_d|_tjj|fi|tj||fi|tj|d|_y)NrSpow2overlapTr)r$r" _processorr#rrrr r!rGraphColorGridr2rrrr:rs r1r2zWindowedAnalysis.__init__hs"88 #"!!**4<8<  y=H=__T3/ r3c|jsy|js |j|j|_|jSr)r"r(r#)r,s r1 processorzWindowedAnalysis.processorxs5"""11$..ADOr3TrAc |jdk(rF|jr:|jjd|jjdz|_|j \}}||_|j d||jj|jj}t|dk\rd|ddfd|ddfg}tjd |g|j d ||jdd |jd d |jjd |j|_|r|j#yy)z- Actually creates the graph. z Music21 Graphz ()rrTrrSxTicksrzWindow Size (Quarter Lengths)z Windows (z Span)N)rr+rsolutionUnitStringrJr'rKr:rcrLrV environLocal printDebugrMrN _getLegendr#rO)r,rBr-r'yTicksr/s r1rPzWindowedAnalysis.runs8 :: (T^^..-- !B!B!D EQGHDJ'') f  c6" ((*!!# v;! &)A,'!VBZ]);:   " x(r3rr)rrrrformatrr)keywordConfigurablesrrrrrKrumhanslSchmucklerr$r2rr+rPrJr3rHrrs@r1rr[sF%44IIM))03DOO.DK+D=E=Y=Y:Y0 *.8!#F))r3rc(eZdZdZej Zy) WindowedKeya Stream plotting of windowed version of Krumhansl-Schmuckler analysis routine. See :class:`~music21.analysis.discrete.KrumhanslSchmuckler` for more details. >>> s = corpus.parse('bach/bwv66.6') >>> p = graph.plot.WindowedKey(s.parts[0]) >>> p.doneAction = None #_DOCS_HIDE >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/WindowedKrumhanslSchmuckler.* :width: 600 .. image:: images/legend-WindowedKrumhanslSchmuckler.* Set the processor class to one of the following for different uses: >>> p = graph.plot.WindowedKey(s.parts.first()) >>> p.processorClass = analysis.discrete.AardenEssen >>> p.processorClass = analysis.discrete.SimpleWeights >>> p.processorClass = analysis.discrete.BellmanBudge >>> p.processorClass = analysis.discrete.TemperleyKostkaPayne >>> p.doneAction = None #_DOCS_HIDE >>> p.run() N)rrrrrrUr$r{r3r1rWrWs2%88r3rWc(eZdZdZej Zy)WindowedAmbitusaq Stream plotting of basic pitch span. >>> s = corpus.parse('bach/bwv66.6') >>> p = graph.plot.WindowedAmbitus(s.parts.first()) >>> p.doneAction = None #_DOCS_HIDE >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/WindowedAmbitus.* :width: 600 .. image:: images/legend-WindowedAmbitus.* N)rrrrrAmbitusr$r{r3r1rYrYs %,,r3rYceZdZUdZej ej dZded< ddd ddZ dd dfd Z dd Z dfd Z fd Z xZS) HorizontalBarz A graph of events, sorted by pitch, over time. If colorByPart is True, then each part will get its own color from `self.colors` (unless there are more parts than colors). rrrF colorByPartc ||_i|_|tjj|fi|t j||fi|d|j _y)NF)r^ _partsToColorrGraphHorizontalBarr2rr;r)r,r#r^r-s r1r2zHorizontalBar.__init__sQ'57 %%..t@x@  y=H= % r3TrAc `|jr|jt| dd|i|y)zV Optionally assign colors to Part objects and then do the normal run. rBNr{)r^assignColorsToPartsrrP)r,rBr-rs r1rPzHorizontalBar.run+s.     $ $ &  8 8x8r3c|j}t|j}t|tj D]$\}}|j||z|j |<&|j S)a; Give a different color for each part, if self.colorByPart is True. Returns the assignment for any further manipulation. Currently, two piano hands (PartStaff objects) get different colors. >>> bach = corpus.parse('bwv66.6') >>> plot = graph.plot.HorizontalBar(bach, colorByPart=True) >>> plot.assignColorsToParts() {: '#605c7f', : '#5c7f60', : '#988969', : '#628297'} )r#rVcolorsrbrPartr`)r,r6 numColorsrgps r1rcz!HorizontalBar.assignColorsToParts3s_ NN $ a n-DAq$(KKI $>D  q !.!!!r3ct|||g||jrO|jtj }|-|j j||jd|d<yyy)zG Assign colors to each element if colorByPart is True. Nrcolor) rrnr^getContextByClassrrfr`getre)r,rertr|partrs r1rnz HorizontalBar.postProcessElementJso "2z;F;   '' 4D&*&8&8&<&z/HorizontalBar.postProcessData..qseAha%9r3)keyN) rrar;rcr'rLr=r(sort)r,rhr4 pitchSpanDictnewDatadictOfFormatDicts positionData pitchDatartpositionDataWithFormatDictunused_kr numericValuerNrs r1razHorizontalBar.postProcessDataXs= ! (( )B 1!A$ )BC!!# 3799 /L)Z -+- i(/1!),)D<)D)D & ) $ + +,F G 4=)..0KHa FF9F :1 $* L%}, -l ; 1, ? ABr2/$** [*Cs Dr)r#zstream.Stream | Nonerrr)rzdict[stream.Part, str])rerrtrr|r)rrrrr OffsetEndAxisrrrr2rPrcrnrarrs@r1r\r\s    /K+)-& &%&  &"*.9". M1 M'9 M%7 M22r3r\cneZdZUdZiej dejiZded<dddfd Z xZ S) HorizontalBarPitchClassOffseta A graph of events, sorted by pitch class, over time. >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.HorizontalBarPitchClassOffset(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.HorizontalBarPitchClassOffset(s) >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/HorizontalBarPitchClassOffset.* :width: 600 rrrFr]c t||fd|i|tj|d|_d|j_d|vrd|_d|vrd|_yy)Nr^rFrrrz-Note Quarter Length and Offset by Pitch Class)rr2rrr;rrrr,r#r^r-rs r1r2z&HorizontalBarPitchClassOffset.__init__s_ H HxH((s3 %  x '%DO ( "HDJ #r3r) rrrrr\rrrrr2rrs@r1r~r~sI /  # #/ T /K+ Ie I Ir3r~c*eZdZdZdddfd ZxZS)HorizontalBarPitchSpaceOffseta A graph of events, sorted by pitch space, over time, generally called a "piano roll". >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.HorizontalBarPitchSpaceOffset(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.HorizontalBarPitchSpaceOffset(s) >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/HorizontalBarPitchSpaceOffset.* :width: 600 Fr]c Xt||fd|i|d|vrd|_d|vrd|_yy)Nr^rrrzNote Quarter Length by Pitchrr2rrrs r1r2z&HorizontalBarPitchSpaceOffset.__init__s= H HxH x '%DO ( "7DJ #r3r)rrrrr2rrs@r1rrs 8e88r3rcxeZdZUdZdej iZded<ejjdzZ d dZ dZ y) HorizontalBarWeightedz A base class for plots of Scores with weighted (by height) horizontal bars. Many weighted segments represent a dynamic parameter of a Part. rrr) fillByMeasurenormalizeByPart partGroupssegmentByTargetNc d|_d|_d|_d|_t j j |fi|tj ||fi|y)NFT)rrrrrGraphHorizontalBarWeightedr2rrs r1r2zHorizontalBarWeighted.__init__sO"#$--66tHxH  y=H=r3cLt|jtjs t dt j |j|j|j|j|j}|j|j}g}|D]G\}}|D]=}|d}|d}||vr|j|||z|vs*|j||z?It||j_t#||j_||_y)z3 Extract the data from the Stream. zprovided Stream must be Score)rrrrrrSN)rHr#rScorerr PartReductionrrrrrO!getGraphHorizontalBarWeightedDatar=minr:rrorr') r,prr' uniqueOffsets unused_keyrrfstartdurs r1rJz!HorizontalBarWeighted.extractDatas$..&,,7 !@A A  $ $ NN,, 00 00 2 335 !% J!  qk -!((/3;m3!((5 ""&"-0 !-0  r3r) rrrrrrrrrrrTr2rJr{r3r1rrsD03DOO.DK+D%@@UUY>r3rc*eZdZdZdfd ZdZxZS)Dolana A graph of the activity of a parameter of a part (or a group of parts) over time. The default parameter graphed is Dynamics. Dynamics are assumed to extend activity to the next change in dynamics. Numerous parameters can be configured based on functionality encoded in the :class:`~music21.analysis.reduction.PartReduction` object. If the `fillByMeasure` parameter is True, and if measures are available, each part will segment by Measure divisions, and look for the target activity only once per Measure. If more than one target is found in the Measure, values will be averaged. If `fillByMeasure` is False, the part will be segmented by each Note. The `segmentByTarget` parameter is True, segments, which may be Notes or Measures, will be divided if necessary to show changes that occur over the duration of the segment by a target object. If the `normalizeByPart` parameter is True, each part will be normalized within the range only of that part. If False, all parts will be normalized by the max of all parts. The default is True. >>> s = corpus.parse('bwv66.6') >>> dyn = ['p', 'mf', 'f', 'ff', 'mp', 'fff', 'ppp'] >>> i = 0 >>> for p in s.parts: ... for m in p.getElementsByClass(stream.Measure): ... m.insert(0, dynamics.Dynamic(dyn[i % len(dyn)])) ... i += 1 ... >>> #_DOCS_SHOW s.plot('dolan', fillByMeasure=True, segmentByTarget=True) .. image:: images/Dolan.* :width: 600 c \t||fi|||jd|vrd|_d|vrnd|_|j r[|j j E|j j j%|j j j|_d|vrd|_yy)NrrrInstrumentation hideYGridT)rr2_getPartGroupsrrr#metadatarrs r1r2zDolan.__init__s /h/     ! x '%DO ( "*DJ~~$.."9"9"E>>**00!>DJ h &!DN 'r3cddlm}|jry|jry|jj j |j }|syt|dk(r?|jjd$ddddgd d d d d gd dddgd dddgd g}||_yt|dk(r@|jjd%ddgdd dd gdd dddgd ddgdd g}||_yt|dkDrYdddd gd d!d"d#d$gd d%dd&d'gd d(dd)d*gd d+d d,d-gd d.d/gd0d d1d/d2gd d3d4dd d5dd6d7gd d8d9d:d;gd ddd?d@gd g }||_yy)Az Examine the instruments in the Score and determine if there is a good match for a default configuration of parts. r) instrumentNrSopranopurplesoprano0)rrjmatchAltoorangealto1Tenor lightgreentenorBass mediumbluebassViolaz 1st Violin)z 1st violinrzviolin 1violin iz 2nd Violin)z 2nd violinrzviolin 2 violin iiviolaCello)cello violoncelloz'cellorFlutez#C154C1flautozflute \dOboeblueoboezoboe \dClarinet clarinettozclarinet in \w* \dBassoonfagottoz bassoon \dHornscornozhorn in \w* \dTrumpetred)trombaz trumpet \dztrumpet in \w* \dTrombonez trombone \dTimpaniz#5C3317zViolin Iz violino irz Violin IIgreenz violino iir forestgreenzVioloncello & CBz dark greenr contrabasso) rrrr#flattenr^ InstrumentrVgetElementById)r,r instStreampgOrcs r1rzDolan._getPartGroups3s ' ??  >>^^++-@@AVAVW   z?a DNN$A$A)$L$X"XC@PQ(fc]K <7)L,&J E $DO _ !dnn&C&CG&L&X%HJ%IK <7)L <?A E$DO _r ! 9+?VW&FJ;OP#l')>?A"XM@Z[ 8wHY>Z["UIK#e~>NO"YF$lkS]E^_$w,P[A\] =4H+l(-8:#E*$DO-"r3r)rrrrr2rrrs@r1rrs"H"(:$r3rcleZdZUdZej ej ejdZde d<ddZ y) Plot3DBarsz1 Base class for Stream plotting classes. rrrNc tjj|fi|tj||fi|d|j_yr)r Graph3DBarsr2rr<rrs r1r2zPlot3DBars.__init__}s<''99  y=H=) r3r) rrrrrrrrrrr2r{r3r1rrss8 # #    /K+ *r3rcheZdZUdZiej dejiZded<dfd Z xZ S)!Plot3DBarsPitchSpaceQuarterLengthae A scatter plot of pitch and quarter length >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.Plot3DBarsPitchSpaceQuarterLength(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW from music21.musicxml import testFiles >>> #_DOCS_SHOW s = converter.parse(testFiles.mozartTrioK581Excerpt) >>> #_DOCS_SHOW p = graph.plot.Plot3DBarsPitchSpaceQuarterLength(s) >>> p.id '3DBars-quarterLength-pitchSpace-count' >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/Plot3DBarsPitchSpaceQuarterLength.* :width: 600 rrrc Tt||fi|d|vrd|_d|vrd|_yy)NrrrzPitch by Quarter Length Countrrs r1r2z*Plot3DBarsPitchSpaceQuarterLength.__init__s: /h/ x '$DO ( "8DJ #r3r) rrrrrrrrrr2rrs@r1rrs?/  / T /K+ 99r3rc.eZdZUdZiZded<ddZdZy) MultiStreama+ Approaches to plotting and graphing multiple Streams. A base class from which Stream plotting Classes inherit. Not yet integrated into the 2017 system, unfortunately. Provide a list of Streams as an argument. Optionally provide an additional list of labels for each list. rrNc tjj|fi|tj|d|g}d|_|j |}|s&t |t |k(r||_d|_y||_d|_yr) rGraphGroupedVerticalBarr2r streamList parseStreamsrV labelListr')r,rrr- foundPathss r1r2zMultiStream.__init__s**33DEHE  t,  I&&z2 S_J?'DN 'DN r3cRg|_g}|D]}t|try|jtj j |tj j|rtj|}ntj|}npt|tjrV|j|j|jrtj|}ntj|}|jj||Sr)rrHrr=rKrLbasenameexistsr parser pathlibPathr)r,rrr6s r1rzMultiStream.parseStreamss A!S!!!"''"2"21"5677>>!$!*A QAAw||,!!!&&)88:!*A QA OO " "1 % r3r)rrrrrrr2rr{r3r1rrs/1K+0"r3rc<eZdZdZdZdfd Zddd dZdZxZS) Featureszh Plots the output of a set of feature extractors. FeatureExtractors can be ids or classes. rc |g}t|||fi|||_d|_d|_d|_d|vrd|_d|vrd|_yy)NZlefttoprrr)rr2featureExtractorsxTickLabelRotationxTickLabelHorizontalAlignmentxTickLabelVerticalAlignmentrr)r,rrrr-rs r1r2zFeatures.__init__sg  I Y;(;!2"$-3*+0( x '%DO ( "DJ #r3TrAc |j|j\|_}}d|_|j d||j d||r|j yy)NFrr)rIrJr'gridrKrO)r,rBr-r/r4s r1rPz Features.runsY $($4$4$6! 66  c6" c6"  LLN r3ct|jt|jk7r/tt|jDcgc]}|dz }}n |j}g}|jD][}t |t r3tj|}|D]}|j|F|j|]g}|jD](}tj|} |j| *g} t|D]\} } tj}|D]h}| |_|jj } t| dk(r| d||j"<Et%| t| z ||j"<j|| |g} | j| g}t|D]\}}|j|dz|gg}| ||fScc}w)NrSr?)rVrrrjrrHrrextractorsByIdr= DataInstancerb collections OrderedDictr'extractvectorrsum)r,rrfeListfepostsubdiListr6dir'rgr dataPointr/rNr4s r1rJzFeatures.extractDatas t~~ #doo"6 6(-c$//.B(CD(C1Q(CIDI((B"c"..r2CMM#%(  bd# )A&&q)B MM" !v&EAr))+CJJL''q6Q;#$Q4CL$'q6CF?CL#1s+I KK "'!),HAu MM1s7ug/ 0- VV##UEs G-rr) rrrrrSr2rPrJrrs@r1rrs# F**. ,$r3rcNeZdZdZdZdZdZdZdZdZ dZ d Z d Z d Z y ) TestExternalManualctjd}t|jdd}|j t|d}|j y)N bach/bwv57.8rBach (soprano voice)rzBach (all parts))r rrpartsrPr,abs r1!testHorizontalBarPitchSpaceOffsetz4TestExternalManual.testHorizontalBarPitchSpaceOffset7sD LL ( )!''!* LL (  2 2 4+/&< > r3ctjd}t|jdj dd}|j yr@rrs r1rzTest.testQuarterLengths? LL ( "1771:#5#5#7.2)? 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T4s;< T4s;< T4q9: T4q9: 4q12 21 F#  !Q2aB#qRSUW(+Q2(+Q2(+Q2aB#qRSUW'Z [r3c!ddlm}|jd}tj}|j t jd|jddd}|jt|d |j|Dcgc]}|jjc}gd |j ||j t jd |j |jd d d|j t jd|j |jddd|j |jddd|j tjddt|d}d|j _|j%dddifdddifdddifdddifdddifdddifdddifdddifdddifdddifd ddifd ddifd!d"d#ifd!ddifd$d"d#ifd$ddifd%d"d#ifd%ddifd&d"d#ifd&ddifd'd"difd'ddifd(d"d#ifd(ddifd)d"d#ifd)ddifd*d"d#ifd*ddifd+d"d#ifd+ddifg}d,|_|j|j(|ycc}w)-Nrr`rbrrhrirrjz!)rtrurvrwmfrrrrspprrrRrgr,FrtrrSrurvrwrxr ryrzr{r|rrTr}r~rrgR@gS@g@S@gS@i)rrarlrrmr=r rrnrTr5rpsrr rr:rrPmaxDiffr')r,raror6rrr rs r1 testChordsB2zTest.testChordsB2s!   d # MMO !!#&' KKd#K 6 a"EF a0a!''**a02JK   !!$'( T4s;< !!$'( T4q9: T4q9: 4q12 21 F# 1b!D!Q#3dAq"5EaQRTVGW1b!D!Q#3dAq"5EaQRTVGW1b!D!Q#3dAq"5EaQRTVGW1b!D!Q#31b!D!Q#31b!D!Q#3dAq"5EaQRTVGW1b!D!Q#3dAq"5EaQRTVGW1b!D!Q#3dAq"5EaQRTVGW1b!D!Q#35  '31sJc:ddlm}|jd}tj}|j t jd|j tjd|j |jddd |j t jd |j |jd d d |j t jd|j |jddd |j tjdd t|d}d|j_ |j|j|j ddddify)Nrr`rbrrfrhrirrjrrrrrsrrrrRrgr,FrtrS)rrarlrrmr=r rrr rnrr:rrPrTr'rs r1 testChordsB3zTest.testChordsB33s#!   d # MMO !!#&' 4! T4s;< !!$'( T4s;< !!$'( T4q9: 4q12 -aD A#  S$2$67r3cjtjd}t|dd}|jy)NrBach)rr@)r rrrPrs r1 testDolanAzTest.testDolanAHs' LL ( !6d 3 r3r)rrrr>rArrrrGrUrZr^rprrrrrrrrr{r3r1r9r9sc%    :2Tj(*(&(,J,[[|"(J8*r3r9__main__)Nr __future__rrnumbersrKrtypingrEunittestmusic21.analysisrrrrrrr r r r r rrrrr music21.graphrrmusic21.graph.utilitiesrr Environmentr1ProtoM21ObjectrrDrrrrrrrrrrrrrrr rrr)rrWrYrar\r~rrrrrrrrrrTestCaserr9 _DOC_ORDERrmainTestr{r3r1rs# &%&%$I'{&&|4 Lg,,L` 0!!?0>j%%>;W;>A%CA4g@/W/hB ))?BJ+)+<1)184Y4@*j55*&_>_B1_1p~)z00/~)B9"9:-&-*|J11?|~IMI>8M822JAA?2js$ !s$r*''*"9 9D0*44o0fW${W$xY**Yxz8  zD """!! ***%+ 2 zGTr3