rh0"SrSSKJr SSKrSSKrSSKrSSKrSSKrSSK r SSK J r SSK J r SSK J r SSK Jr SSKJr SS KJr SS KJr SS KJr SS KJr SS KJr SSKJr SSKJr SSKJr SSKJr SSKJr SSKJr SSKJr SSKJrJ r \RB"S5r""SS\RF5r$"SS\RJ\$5r&"SS\RN\$5r("SS\(5r)"SS \)5r*"S!S"\(5r+"S#S$\(5r,"S%S&\RZ\$5r."S'S(\.5r/"S)S*\.5r0"S+S,\.5r1"S-S.\Rd\$5r3"S/S0\35r4"S1S2\35r5"S3S4\35r6"S5S6\Rn\$5r8"S7S8\85r9"S9S:\85r:"S;S<\Rv\$5r<"S=S>\<5r="S?S@\<5r>"SASB\R~\$5r@"SCSD\@5rA"SESF\R\$5rC"SGSH\C5rD"SISJ\R\$5rF"SKSL\F5rG"SMSN\ R5rI"SOSP\ R5rJ\/\0\1\9\:\)\*\+\,\>\=\A\4\5\6\D/rK\LSQ:XaSSKr\R"\J5 gg)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.plotc\rSrSr%Sr\R \R S.rS\S'SSjr SS jr \ S 5r SS .SS jjr S rSrSSjrSSjrSr\S5rSr\SSj5r\ S5rSrg)PlotStreamMixin=z^ This Mixin adds Stream extracting and Axis holding features to any class derived from Graph. xydict[str, type[axis.Axis]] axesClassesNTc 6Ub[US5(d[SU35eXlX lSS/UlSUlSUlURR5H0upEUcM U"X5n[USUR5-U5 M2 X0l g)Nelementsz!non-stream provided as argument: NoteChordTr) hasattrr streamObjrecurseclassFilterListmatchPitchCountForChordsdataritemssetattrupper savedKeywords)selfr$r%keywordsaxisName axisClassaxisObjs L/home/james-whalen/.local/lib/python3.13/site-packages/music21/graph/plot.py__init__PlotStreamMixin.__init__Ds  J)G)G%(I)&UV V" &0(,% #'#3#3#9#9#; H$#D3fx~~'77A$< &cFURnUb [U5nOSnSU3$)a 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$repr)r-s streamNames r2 _reprInternalPlotStreamMixin._reprInternalVs-4 NN =aJ&Jj\""r5ct/nSH/n[X5(dMUR[X55 M1 U$)aA 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 r2allAxesPlotStreamMixin.allAxesxs9 3Ht&&""74#:;4r5 callProcessc [R(a-SSKJn [ X5(a[ U[ 5(deUR 5 UR5 [US5(aaUR(aPURSURR55 URSURR5 [US5(aaUR(aPURSURR55 URSURR5 U(aUR5 gg)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.primitivesrH isinstancersetAxisKeywords extractDatar#r>setTicksticks setAxisLabellabelr=process)r-rFr.rHs r2runPlotStreamMixin.runs ?? 6d**z$/P/P PP   4 ! !djj MM#tzz//1 2   c4::#3#3 4 4 ! !djj MM#tzz//1 2   c4::#3#3 4  LLN r5cLURHnUcMURnURHpnURU5(dM[ U5S:aM,USR 5USS-n[ X5(dMW[XURU5 Mr M g)a Configure axis parameters based on keywords given when creating the Plot. Looks in self.savedKeywords, in case any post creation manipulation needs to happen. Finds keywords that begin with x, y, z and sets the remainder of the keyword (lowercasing the first letter) as an attribute. Does not set any new attributes, only existing ones. >>> b = corpus.parse('bwv66.6') >>> hist = graph.plot.HistogramPitchSpace(b, xHideUnused=False) >>> hist.axisX.hideUnused True >>> hist.setAxisKeywords() >>> hist.axisX.hideUnused False N)rCr/r, startswithlenlowerr#r*)r-thisAxisthisAxisLetterkwshortKws r2rMPlotStreamMixin.setAxisKeywordss& H%..N((}}^44r7Q;Q%++-"QR&0x114+=+=b+AB) %r5cbSUR;a [S5eUR(aURR5nOURR 5nUR (aUR UR 5n/UlUH4nURU5nUcMURRU5 M6 UR5 [UR5H3upEURURVs/sHofUPM sn5 M5 gs snf)Nz3Set all axes before calling extractData() via run()) rCrr%r$iterr&getElementsByClassr(processOneElementextendpostProcessData enumeratesetBoundariesFromData)r-sItereldataListir]ds r2rNPlotStreamMixin.extractDatas 4<< %&[\ \ <<NN**,ENN'')E   ,,T-A-ABE B--b1H#   * $T\\2KA  * *$))+D)QaD)+D E3+DsD, c[[UR55Vs/sHn/PM nn0n[U[R 5(dO[ UR5H5upVURX5n[U[5(dUbU/nXsU'M7 OURX5nUR"X/UQ76 SU;ag[UVs/sHn[U5PM sn5n [U 5Vs/sHo$R5PM n nURU 5 [[U65n U $s snfs snfs snf)a^ Get a list of data from a single element (generally a Note or chord): >>> n = note.Note('C#4') >>> n.offset = 10.25 >>> s = stream.Stream([n]) >>> pl = graph.plot.ScatterPitchClassOffset(s) >>> pl.processOneElement(n) [(10.25, 1, {})] >>> c = chord.Chord(['D4', 'E5']) >>> s.insert(5.0, c) >>> pl.processOneElement(c) [(5.0, 2, {}), (5.0, 4, {})] N)ranger[rCrLr r"rhextractOneElementlistextractChordDataMultiAxispostProcessElementmaxcopyr@zip) r-rk_ elementValues formatDictrmr] axisValueevelementValueLengthformatDictList returnLists r2re!PlotStreamMixin.processOneElements) 9>c$,,>O8P+Q8P1B8P +Q)+ "ekk**(6 $66rF ")T22y7L!* I#,a  7!::2JM ?? =  M!BMb#b'M!BC5:;M5NO5N//+5NO^,#}-. 3,R*"COs D;E<Ecg)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-rkr{valuess r2ru"PlotStreamMixin.postProcessElements r5cJURHnUR5 M g)> Call any post data processing routines here and on any axes. N)rCrg)r-r]s r2rgPlotStreamMixin.postProcessDatas H  $ $ &%r5c/nSnURX5nUbURU5 U(d3UH-nSnURXR5nUcMURU5 M/ U$![a N\f=f![a  U$f=f)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)rrAttributeErrorr@)axcr{rvaluens r2extractChordDataOneAxis'PlotStreamMixin.extractChordDataOneAxiss ((7E   MM% 00?E$MM%( #   & s"A'A7' A43A47 BBcURVs/sHo0RX1U5PM nn/n[URU5H upgU(aMURXg45 M" UH6uphUH+n UR X5n U cMURU 5 M- M8 UR (aURU5 U$s snf![ a Mif=f)z2 Returns a list of lists of values for each axis. )rCrrxr@rrrr'fillValueLists) r-rr{rrzlookIntoChordForNotesGroupsr]r destValuesrtargets r2rt)PlotStreamMixin.extractChordDataMultiAxis:sTXS_S_`S_R55bZHS_ `&(# #DLL- @ H6+22H3EF!A%@ H%77FF%%%f- %@  ( (    .1a&sC5C  CCc[UVs/sHn[U5PM sn5nUH1nU[U5- nU(aUSnOUnU(dM)X%/U-- nM3 gs snf)a 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)rvr[)rz nullFillValueval maxLength shortAmountfillVals r2rPlotStreamMixin.fillValueListsXsc&];]cS];<  C#c#h.Ka&'{y;..!>> s = stream.Stream() >>> pScatter = graph.plot.ScatterPitchClassQuarterLength(s) >>> pScatter.id 'scatter-quarterLength-pitchClass' r-) graphTyperC quantities)r-idNamer1r/s r2idPlotStreamMixin.idvsH||G))!,H cHn $F $  r5)r&r(r'r%r,r$)NT)returnstrrFbool)rkbase.Music21Object)rkrr{dict[t.Any, t.Any]rlist[numbers.Real]rNone)r)__name__ __module__ __qualname____firstlineno____doc__rAxisr__annotations__r3r:propertyrCrTrMrNrerurg staticmethodrrtrr__static_attributes__rr5r2rr=s59IIDII.NK+N&$ #D$*., CHF0)V  1  '9  %7  <@  '<<//:r5rc"\rSrSrSrSSjrSrg) PlotStreamiz A generic stream plotter. Nc [RR"U40UD6 [R"X40UD6 [R "US5Ulg)Nr)rrHr3rr OffsetAxisr=r-r$r.s r2r3PlotStream.__init__s@!!$3(3  =H=__T3/ r5)r=Nrrrrrr3rrr5r2rrs 0r5rc"\rSrSrSrSSjrSrg)Scatteriz" Base class for 2D scatter plots. Nc t[RR"U40UD6 [R"X40UD6 gr)r GraphScatterr3rrs r2r3Scatter.__init__s.((::  =H=r5rrrrr5r2rrs >r5rcn^\rSrSr%Sr\R \RS.rS\ S'SU4Sjjr Sr U=r $) ScatterPitchSpaceQuarterLengthia0 A scatter plot of pitch space and quarter length >>> s = corpus.parse('bach/bwv324.xml') >>> p = graph.plot.ScatterPitchSpaceQuarterLength(s) >>> p.doneAction = None #_DOCS_HIDE >>> p.id 'scatter-quarterLength-pitchSpace' >>> p.run() .. image:: images/ScatterPitchSpaceQuarterLength.* :width: 600 rrrc >[TU]"U40UD6 SURlSU;aSUlSU;aSUlgg)NT figureSizertitlezPitch by Quarter Length Scatter)superr3r= useLogScalerrr-r$r. __class__s r2r3'ScatterPitchSpaceQuarterLength.__init__sD /h/!%  x '$DO ( ":DJ #r5rrr) rrrrrrQuarterLengthAxisPitchSpaceAxisrrr3r __classcell__rs@r2rrs5  # #  /K+ ;;r5rcn^\rSrSr%Sr\R \RS.rS\ S'SU4Sjjr Sr U=r $) ScatterPitchClassQuarterLengthia 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 D>[TU]"U40UD6 SU;aSUlgg)Nrz%Pitch Class by Quarter Length Scatter)rr3rrs r2r3'ScatterPitchClassQuarterLength.__init__s) /h/ ( "@DJ #r5rr) rrrrrrrPitchClassAxisrrr3rrrs@r2rrs7  # #  /K+ AAr5rcn^\rSrSr%Sr\R \RS.rS\ S'SU4Sjjr Sr U=r $) ScatterPitchClassOffsetia A scatter plot of pitch class and offset >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.ScatterPitchClassOffset(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.ScatterPitchClassOffset(s) >>> p.id 'scatter-offset-pitchClass' >>> p.run() .. image:: images/ScatterPitchClassOffset.* :width: 600 rrrc x>[TU]"U40UD6 SU;aSUlSU;aSUlSU;aSUlgg)Nr) rzPitch Class by Offset Scatteralphaffffff?rr3rrrrs r2r3 ScatterPitchClassOffset.__init__sI /h/ x '%DO ( "8DJ ( "DJ #r5rrrr) rrrrrrrrrrr3rrrs@r2rrs3 __  /K+  r5rcx^\rSrSr%SrSr\R\RS.r S\ S'S U4Sjjr Sr S r U=r$) ScatterPitchSpaceDynamicSymbolia 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 >[TU]"U40UD6 SURlSU;aURUlSU;aSUlSU;aSUlgg)NFrrzDynamics by Pitch Scatterrr)rr3r=showEnharmonicfigureSizeDefaultrrrrs r2r3'ScatterPitchSpaceDynamicSymbol.__init__sY /h/$) ! x '"44DO ( "4DJ ( "DJ #r5c[R"UR5nURSS9n/UlUH"up4URR X4045 M$ URVs/sHoUSPM nnURVs/sHoUSPM nnUR RU5 URRU5 UR5 gs snfs snf)NT dataPointsrrX) r ActivityMatchr$pitchToDynamicr(r@r=rir>rg)r-amamDatarrrnxValsyValss r2rN*ScatterPitchSpaceDynamicSymbol.extractData s  $ $T^^ 4""d"3 DA II  aBZ ( $yy)y!1y)#yy)y!1y) ((/ ((/  *)s -C" C')rr(rrr)rrrrrrrr DynamicsAxisrrr3rNrrrs@r2rrs@      /K+   r5rcx\rSrSr%Sr\R \RS.rS\ S'S Sjr SS .SS jjr S r S r g) Histogrami2z@ Base class for histograms that plot one axis against its count rrrNc [RR"U40UD6 [R"X40UD6 SU;aSUlgg)Nr?)rGraphHistogramr3rrrs r2r3Histogram.__init__;sB!!**4<8<  =H= ( "DJ #r5TrEc [R(a$[US5(a[US5(deUR5 UR 5 UR SUR R55 UR5nUR SU5 URSUR R5 URSURR5 U(aUR5 gg)z; Override run method to remap X data into individual bins. r=r>rrN) rIrJr#rMrNrOr>rPremapXTicksDatarQrRr=rS)r-rFr. xTicksNews r2rT Histogram.runBs ??4))gdG.D.D DD   c4::++-.((*  c9% #tzz//0 #tzz//0  LLN r5cURR5nUVs0sH o"SUS_M nn/n[URS5(aGURRSLd.URRbURR cu[ [UR55HQnURUnUSnUS-4USS-URU'Xs;dM7US-X74nURU5 MS U$SSK J n [ [URR5[URR 5S-5HunXS;aX5n OT[URS5(a7URR(dU RU5Rn OSn XZ4nURU5 Mw U$s snf) zC Changes the ticks and data so that they both run 1, 2, 3, 4, etc. rrX hideUnusedTN)pitchblankLabelUnused)r=rPr#rminValuemaxValuerqr[r(r@music21rintrPitchname) r- xTicksOrigv xTickDictrrmdataValxDataValnewTickrrRs r2rHistogram.remapXTicksDataTs ZZ%%' )34AqT1Q4Z 4 \22djj6K6Kt6S::&&.::&&.3tyy>*))A,"1: !Ax'!"+5 ! ( 1ui&9:G$$W- +& &3tzz223S9L9L5MPQ5QR>%LETZZ);<>> 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 >[TU]"U40UD6 SURlSU;aSUlSU;aSUlgg)NFrrrrzPitch Histogram)rr3r=rrrrs r2r3HistogramPitchSpace.__init__sD /h/$) ! x '%DO ( "*DJ #r5rr) rrrrrrrrrrr3rrrs@r2rrws? /   / T /K+ ++r5rct^\rSrSr%Sr0\R ES\R0ErS\ S'SU4Sjjr Sr U=r $) HistogramPitchClassia 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 f>[TU]"U40UD6 SURlSU;aSUlgg)NFrzPitch Class Histogram)rr3r=rrrs r2r3HistogramPitchClass.__init__s5 /h/$) ! ( "0DJ #r5rr) rrrrrrrrrrr3rrrs@r2rrs?/   / T /K+ 11r5rct^\rSrSr%Sr0\R ES\R0ErS\ S'SU4Sjjr Sr U=r $) HistogramQuarterLengthia 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 >[TU]"U40UD6 [R"US5UlSURlSU;aSUlgg)NrFrzQuarter Length Histogram)rr3rrr=rrrs r2r3HistogramQuarterLength.__init__sI /h/++D#6 !&  ( "3DJ #r5)r=rr) rrrrrrrrrrr3rrrs@r2rrs?/   / T # #/K+ 44r5rcv\rSrSr%Sr\R \R \RS.rS\ S'S Sjr Sr g) ScatterWeightediz 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 [RR"U40UD6 [R"X40UD6 SURlgNr)rGraphScatterWeightedr3rr? countAxesrs r2r3ScatterWeighted.__init__s:''00BB  =H=) r5rr) rrrrrrrrrrr3rrr5r2r"r"s4 YY YY   /K+ *r5r"c^\rSrSr%Sr0\R E\R\RS.ErS\ S'SU4Sjjr Sr U=r $) &ScatterWeightedPitchSpaceQuarterLengthia 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 x>[TU]"U40UD6 SU;aSUlSU;aSUlSU;aSUlgg)Nrr.rz!Count of Pitch and Quarter Lengthr皙?rrs r2r3/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 x>[TU]"U40UD6 SU;aSUlSU;aSUlSU;aSUlgg)Nrr-r'Count of Pitch Class and Quarter Lengthrr/rrs r2r3/ScatterWeightedPitchClassQuarterLength.__init__sO   #! # x '$DO ( "BDJ ( "DJ #r5rr)rrrrrr"rrrrrr3rrrs@r2r2r2sF /  % %/  # #  /K+  r5r2c^\rSrSr%Sr0\R E\R\RS.ErS\ S'S U4Sjjr Sr Sr U=r$) &ScatterWeightedPitchSpaceDynamicSymboli$ap 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 >[TU]"U40UD6 SURlSU;aSUlSU;aSUlSU;aSUlSU;aS Ulgg) NFr)rrrr4rr/ tickFontSizer.)rr3r=rrrrr9rs r2r3/ScatterWeightedPitchSpaceDynamicSymbol.__init__:sm   #! #%* ! x '&DO ( "BDJ ( "DJ  ) !D  *r5c[R"UR5nURSS9UlURVVs/sHup#UPM nnnURVVs/sHupVUPM nnnURVVs/sH up&X&S/PM snnUlUR R U5 URR U5 UR5 gs snnfs snnfs snnf)NTrrX) rrr$rr(r=rir>rg)r-rrunused_yrunused_xrrs r2rN2ScatterWeightedPitchSpaceDynamicSymbol.extractDataKs  $ $T^^ 4%%%6 &*ii0i{qi0&*ii0i{xi0+/995941aAY95  ((/ ((/  105sC$$C*C0)rr(rr9rr)rrrrrr"rrrrrr3rNrrrs@r2r7r7$sK/  % %/    /K+ ""  r5r7c^\rSrSr%SrSr\RRS-rS\ R0r S\ S'\ RrS\ S 'SS jr\S 5rS S .SSjjrSrSrSU4SjjrSrU=r$)WindowedAnalysisi\zK Base Plot for windowed analysis routines such as Key Analysis or Ambitus. colorGrid) minWindow maxWindow windowStep windowTypecompressLegendprocessorClass graphLegendrrrztype[discrete.DiscreteAnalysis]processorClassDefaultc 0URUlSUlSUlSUlSUlSUlSUlSUl[RR"U40UD6 [R"X40UD6 [R"US5Ulg)NrXpow2overlapTr)rIrG _processorrHrBrCrDrErFrGraphColorGridr3rrrr=rs r2r3WindowedAnalysis.__init__is"88 #"!!**4<8<  =H=__T3/ r5cUR(dgUR(d URUR5UlUR$r)rGrMr$)r-s r2 processorWindowedAnalysis.processorys5"""11$..ADOr5TrEc URS:XaKUR(a:URRSURR5S3-UlUR 5up4X0lUR SU5 URR5 URR5n[U5S:aSUSS4SUSS4/n[RS U/5 UR S U5 URSS 5 URS S URRS 35 UR5UlU(aUR#5 gg)z Actually creates the graph. z Music21 Graphz ()rrYrrXxTicksrzWindow Size (Quarter Lengths)z Windows (z Span)N)rrQr solutionUnitStringrNr(rOr=rirPr[ environLocal printDebugrQrR _getLegendrHrS)r-rFr.r(yTicksrVs r2rTWindowedAnalysis.runs4 :: (T^^..-- !B!B!D EQGHDJ'')   c6" ((*!!# v;! &)A,'!VBZ]);[TU]U5 Uc[RSSS9nO[R "USS9n[ RRU5up#[ RRUSU-5nURR5 URRU5 g)z9 Overrides the normal write method here to add a legend. N.pngT) returnPathlibzlegend-) rwriterX getTempFiler cleanpathospathsplitjoinrHrS)r-fp directoryfnfpLegendrs r2rrWindowedAnalysis.writes  b :))&)EB!!"D9B b) 77<< 9r>:   " x(r5) rMr=rFr(rHrCrBrGrrDrErr)rrrrrformatrrNkeywordConfigurablesrrrrrKrumhanslSchmucklerrIr3rrQrTrNrZrrrrrs@r2r@r@\sF%44IIM))03DOO.DK+D=E=Y=Y:Y0 *.8!#F))r5r@c0\rSrSrSr\R rSrg) WindowedKeyiaZ 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() rN) rrrrrrrrIrrr5r2rrs4%88r5rc0\rSrSrSr\R rSrg)WindowedAmbitusiaM 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.* rN) rrrrrrAmbitusrIrrr5r2rrs %,,r5rc^\rSrSr%Sr\R \RS.rS\ S'SSS.SSjjjr S S .SU4S jjjr SS jr SU4S jjr U4SjrSrU=r$) HorizontalBariz 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 X l0UlU [RR"U40UD6 [ R"X40UD6 SUR lg)NF)r _partsToColorrGraphHorizontalBarr3rr>r)r-r$rr.s r2r3HorizontalBar.__init__sM'57 %%..t@x@  =H= % r5TrEc l>UR(aUR5 [TU] "SSU0UD6 g)zF Optionally assign colors to Part objects and then do the normal run. rFNr)rassignColorsToPartsrrT)r-rFr.rs r2rTHorizontalBar.run-s.     $ $ &  8 8x8r5cURn[UR5n[U[R 5H#up4URX2-UR U'M% UR $)a Give a different color for each part, if self.colorByPart is True. Returns the assignment for any further manipulation. Currently, two piano hands (PartStaff objects) get different colors. >>> bach = corpus.parse('bwv66.6') >>> plot = graph.plot.HorizontalBar(bach, colorByPart=True) >>> plot.assignColorsToParts() {: '#605c7f', : '#5c7f60', : '#988969', : '#628297'} )r$r[colorsrhrPartr)r-r8 numColorsrmps r2r!HorizontalBar.assignColorsToParts5s[ NN $ a n-DA$(KK $>D  q !.!!!r5c>[TU]"X/UQ76 UR(aPUR[R 5nUb-UR RUURS5US'ggg)z7 Assign colors to each element if colorByPart is True. Nrcolor) rrurgetContextByClassrrrgetr)r-rkr{rpartrs r2ru HorizontalBar.postProcessElementLsm "2;F;   '' 4D&*&8&8&<&[TU]5 URRURVs/sHoSPM sn5 URR 5n0n/n0nURH-upgnXs;a/X7'0XW'/UQUP7n X7R U 5 M/ UR5HupU RSS9 M UH8upX;aUR U X<X\/5 M$UR U /0/5 M: X@lgs snf)rrXcUSUS4$)NrrXr)points r2/HorizontalBar.postProcessData..sseAha%9r5)keyN) rrgr>rir(rPr@r)sort)r-rnr[ pitchSpanDictnewDatadictOfFormatDicts positionData pitchDatar{positionDataWithFormatDictunused_kr  numericValuerRrs r2rgHorizontalBar.postProcessDataZs% ! (( )B 1A$ )BC!!# 3799 /LZ-+- (/1!,)D<)D)D &  $ + +,F G 4=)..0KH FF9F :1 $* L, - ; 1 ? ABr2/$** [*CsD)rrr(r)r$zstream.Stream | Nonerrr)rzdict[stream.Part, str])rkrr{rrr)rrrrrr OffsetEndAxisrrrr3rTrrurgrrrs@r2rrs    /K+)-& &%&  &"*.99". M1 M'9 M%7 M22r5rc|^\rSrSr%Sr0\R ES\R0ErS\ S'S SS.U4Sjjjr S r U=r $) HorizontalBarPitchClassOffsetia A graph of events, sorted by pitch class, over time. >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.HorizontalBarPitchClassOffset(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.HorizontalBarPitchClassOffset(s) >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/HorizontalBarPitchClassOffset.* :width: 600 rrrFrc >[TU]"U4SU0UD6 [R"US5UlSURlSU;aSUlSU;aSUlgg)NrrFrrrz-Note Quarter Length and Offset by Pitch Class)rr3rrr>rrrr-r$rr.rs r2r3&HorizontalBarPitchClassOffset.__init__s_ H HxH((s3 %  x '%DO ( "HDJ #r5)r>rrr) rrrrrrrrrrr3rrrs@r2rrsI /  # #/ T /K+ Ie I Ir5rc8^\rSrSrSrSSS.U4SjjjrSrU=r$)HorizontalBarPitchSpaceOffsetia A graph of events, sorted by pitch space, over time, generally called a "piano roll". >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.HorizontalBarPitchSpaceOffset(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW s = corpus.parse('bach/bwv57.8') >>> #_DOCS_SHOW p = graph.plot.HorizontalBarPitchSpaceOffset(s) >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/HorizontalBarPitchSpaceOffset.* :width: 600 Frc b>[TU]"U4SU0UD6 SU;aSUlSU;aSUlgg)NrrrrzNote Quarter Length by Pitchrr3rrrs r2r3&HorizontalBarPitchSpaceOffset.__init__s= H HxH x '%DO ( "7DJ #r5rr)rrrrrr3rrrs@r2rrs 8e88r5rc\rSrSr%SrS\R 0rS\S'\ RRS-r S Sjr S r S rg) HorizontalBarWeightediz A base class for plots of Scores with weighted (by height) horizontal bars. Many weighted segments represent a dynamic parameter of a Part. rrr) fillByMeasurenormalizeByPart partGroupssegmentByTargetNc SUlSUlSUlSUl[R R "U40UD6 [R "X40UD6 g)NFT)rrrrrGraphHorizontalBarWeightedr3rrs r2r3HorizontalBarWeighted.__init__sM"#$--66tHxH  =H=r5cZ[UR[R5(d [ S5e[ R "URURURURURS9nUR5 UR5n/nUHKupEUH@nUSnUSnXs;aURU5 Xx-U;dM-URXx-5 MB MM [U5URl[#U5URlX lg)z# Extract the data from the Stream. zprovided Stream must be Score)rrrrrrXN)rLr$rScorerr PartReductionrrrrrS!getGraphHorizontalBarWeightedDatar@minr=rrvrr() r-prr( uniqueOffsets unused_keyrrlstartdurs r2rN!HorizontalBarWeighted.extractDatas$..&,,77 !@A A  $ $ NN,, 00 00 2 335 !% J!  qk-!((/;m3!((5 ""&"-0 !-0  r5)r(rrrrr)rrrrrrrrrrrrr3rNrrr5r2rrsD03DOO.DK+D%@@UUY>r5rc6^\rSrSrSrSU4SjjrSrSrU=r$)Dolania A graph of the activity of a parameter of a part (or a group of parts) over time. The default parameter graphed is Dynamics. Dynamics are assumed to extend activity to the next change in dynamics. Numerous parameters can be configured based on functionality encoded in the :class:`~music21.analysis.reduction.PartReduction` object. If the `fillByMeasure` parameter is True, and if measures are available, each part will segment by Measure divisions, and look for the target activity only once per Measure. If more than one target is found in the Measure, values will be averaged. If `fillByMeasure` is False, the part will be segmented by each Note. The `segmentByTarget` parameter is True, segments, which may be Notes or Measures, will be divided if necessary to show changes that occur over the duration of the segment by a target object. If the `normalizeByPart` parameter is True, each part will be normalized within the range only of that part. If False, all parts will be normalized by the max of all parts. The default is True. >>> s = corpus.parse('bwv66.6') >>> dyn = ['p', 'mf', 'f', 'ff', 'mp', 'fff', 'ppp'] >>> i = 0 >>> for p in s.parts: ... for m in p.getElementsByClass(stream.Measure): ... m.insert(0, dynamics.Dynamic(dyn[i % len(dyn)])) ... i += 1 ... >>> #_DOCS_SHOW s.plot('dolan', fillByMeasure=True, segmentByTarget=True) .. image:: images/Dolan.* :width: 600 c z>[TU]"U40UD6 UbUR5 SU;aSUlSU;auSUlUR (a]UR R bFUR R Rb%UR R RUlSU;aSUlgg)NrrrInstrumentation hideYGridT)rr3_getPartGroupsrrr$metadatarrs r2r3Dolan.__init__"s /h/     ! x '%DO ( "*DJ~~$.."9"9"E>>**00!>DJ h &!DN 'r5cSSKJn UR(agUR(agURR 5R UR 5nU(dg[U5S:Xa?URRS5b#SSSS/S .S S S S /S .SSS/S .SSS/S ./nX0lg[U5S:Xa@URRS5b$SS/SQS .SS /SQS .SSS/S .SS/SQS ./nX0lg[U5S:aXSSSS /S .S!S"S#S$/S .S%SS&S'/S .S(SS)S*/S .S+S S,S-/S .S.S//S0QS .S1S/S2/S .S3S4SS .S5SS6S7/S .S8S9S:S;/S .SSS?S@/S ./ nX0lgg)Azs Examine the instruments in the Score and determine if there is a good match for a default configuration of parts. r) instrumentNrSopranopurplesoprano0)r rmatchAltoorangealto1Tenor lightgreentenorBass mediumbluebassViolaz 1st Violin)z 1st violinrzviolin 1violin iz 2nd Violin)z 2nd violinrzviolin 2 violin iiviolaCello)cello violoncelloz'cellorFlutez#C154C1flautozflute \dOboeblueoboezoboe \dClarinet clarinettozclarinet in \w* \dBassoonfagottoz bassoon \dHornscornozhorn in \w* \dTrumpetred)trombaz trumpet \dztrumpet in \w* \dTrombonez trombone \dTimpaniz#5C3317zViolin Iz violino irz Violin IIgreenz violino iir forestgreenzVioloncello & CBz dark greenr contrabasso) rrrr$flattenrd Instrumentr[getElementById)r-r instStreampgOrcs r2rDolan._getPartGroups6s ' ??  >>^^++-@@AVAVW   z?a DNN$A$A)$L$X"XC@PQ(fc]K <7)L,&J E $O _ !dnn&C&CG&L&X%HJ%IK <7)L <?A E$O _r ! 9+?VW&FJ;OP#l')>?A"XM@Z[ 8wHY>Z["UIK#e~>NO"YF$lkS]E^_$w,P[A\] =4H+l(-8:#E*$O-"r5)rrrrr) rrrrrr3rrrrs@r2rrs#J"(:$:$r5rcv\rSrSr%Sr\R \R\RS.r S\ S'S Sjr Sr g) Plot3DBarsivz) Base class for Stream plotting classes. r#rrNc [RR"U40UD6 [R"X40UD6 SURlgr&)r Graph3DBarsr3rr?r(rs r2r3Plot3DBars.__init__s:''99  =H=) r5rr) rrrrrrrrrrrr3rrr5r2rrvs8 # #    /K+ *r5rct^\rSrSr%Sr0\R ES\R0ErS\ S'SU4Sjjr Sr U=r $) !Plot3DBarsPitchSpaceQuarterLengthia5 A scatter plot of pitch and quarter length >>> s = corpus.parse('bach/bwv324.xml') #_DOCS_HIDE >>> p = graph.plot.Plot3DBarsPitchSpaceQuarterLength(s, doneAction=None) #_DOCS_HIDE >>> #_DOCS_SHOW from music21.musicxml import testFiles >>> #_DOCS_SHOW s = converter.parse(testFiles.mozartTrioK581Excerpt) >>> #_DOCS_SHOW p = graph.plot.Plot3DBarsPitchSpaceQuarterLength(s) >>> p.id '3DBars-quarterLength-pitchSpace-count' >>> p.run() # with defaults and proper configuration, will open graph .. image:: images/Plot3DBarsPitchSpaceQuarterLength.* :width: 600 rrrc ^>[TU]"U40UD6 SU;aSUlSU;aSUlgg)NrrrzPitch by Quarter Length Countrrs r2r3*Plot3DBarsPitchSpaceQuarterLength.__init__s: /h/ x '$DO ( "8DJ #r5rr) rrrrrrrrrrr3rrrs@r2r r s?/  / T /K+ 99r5r c8\rSrSr%Sr0rS\S'S SjrSrSr g) MultiStreamia 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 [RR"U40UD6 [RUS5 Uc/nSUlUR U5nU(d[ U5[ U5:XaX@lOX lSUlgr) rGraphGroupedVerticalBarr3r streamList parseStreamsr[ labelListr()r-rrr. foundPathss r2r3MultiStream.__init__sr**33DEHE  t,  I&&z2 S_J?'N&N r5c/Ul/nUGH0n[U[5(aUR[R R U55 [R RU5(a[R"U5nO[R"U5nO|[U[R5(a]URUR5 UR5(a[R"U5nO[R"U5nURRU5 GM3 U$r)rrLrr@rurvbasenameexistsr parser pathlibPathr )r-rrr8s r2rMultiStream.parseStreamss A!S!!!!"''"2"21"5677>>!$$!*A QAAw||,,!!!&&)88::!*A QA OO " "1 % r5)r(rrr) rrrrrrrr3rrrr5r2rrs/1K+0"r5rcL^\rSrSrSrSrS U4SjjrSS.S SjjrSrS r U=r $) Featuresiz\ Plots the output of a set of feature extractors. FeatureExtractors can be ids or classes. rc >Uc/n[TU]"X40UD6 X lSUlSUlSUlSU;aSUlSU;aSUlgg)NZlefttoprrr)rr3featureExtractorsxTickLabelRotationxTickLabelHorizontalAlignmentxTickLabelVerticalAlignmentrr)r-rr&rr.rs r2r3Features.__init__sc  I ;(;!2"$-3*+0( x '%DO ( "DJ #r5TrEc UR5 UR5uUlp4SUlUR SU5 UR SU5 U(aUR 5 gg)NFrr)rMrNr(gridrOrS)r-rFr.rVr[s r2rT Features.runsW $($4$4$6! 6  c6" c6"  LLN r5c [UR5[UR5:wa1[[UR55Vs/sHoS-PM nnO URn/nURHen[ U[ 5(a7[R"U5nUHnURU"55 M MOURU"55 Mg /nURH*n[R"U5n URU 5 M, /n [U5Hup[R"5nUHhnXlUR5R n [U 5S:XaU SXdR"'ME[%U 5[U 5- XdR"'Mj X+U/n U RU 5 M /n[U5HupURUS-U/5 M /nXU4$s snf)NrXr?)r[rrrqr&rLrrextractorsByIdr@ DataInstancerh collections OrderedDictr(extractvectorr sum)r-rrfeListfepostsubdiListr8dir(rmr  dataPointrVrRr[s r2rNFeatures.extractDatas t~~ #doo"6 6(-c$//.B(CD(C1Q(CIDII((B"c""..r2CMM#%(  bd# )A&&q)B MM" !v&EA))+CJJL''q6Q;#$Q4CL$'q6CF?CL#s+I KK "'!),HA MM1s7ug/ 0- V##UEs H)r(r&rr,rr(r'r)rr) rrrrrr~r3rTrNrrrs@r2r!r!s( F**. ,$,$r5r!cV\rSrSrSrSrSrSrSrSr Sr S r S r S r S rS rg)TestExternalManuali8c[R"S5n[URSSS9nUR 5 [USS9nUR 5 g)N bach/bwv57.8rBach (soprano voice)rzBach (all parts))r rrpartsrTr-abs r2!testHorizontalBarPitchSpaceOffset4TestExternalManual.testHorizontalBarPitchSpaceOffset:sD LL ( )!''!* LL (  2 2 4+/&< > r5c[R"S5n[URSR 5SSS9nUR 5 grr^rEs r2r_Test.testQuarterLengths? 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