6Dh76SSKJr SSKJrJr SSKJr \R"S5r\R"S5r \R"S5r \R"S5r SS S S S S S 4S jr "S S \ 5rg )) OrderedDict) exceptionsoptional_imports) graph_objsnumpyscipyzscipy.cluster.hierarchyz scipy.spatialbottomNc.[RUS5$Ncompleteschlinkagexs S/var/www/html/env/lib/python3.13/site-packages/plotly/figure_factory/_dendrogram.pyrsQ 3c h[(a[(a [(d [S5eURn[ U5S:wa[ R"S5 Uc[RRn[UUUUUUUUS9n [R"U RU RS9$)a Function that returns a dendrogram Plotly figure object. This is a thin wrapper around scipy.cluster.hierarchy.dendrogram. See also https://dash.plot.ly/dash-bio/clustergram. :param (ndarray) X: Matrix of observations as array of arrays :param (str) orientation: 'top', 'right', 'bottom', or 'left' :param (list) labels: List of axis category labels(observation labels) :param (list) colorscale: Optional colorscale for the dendrogram tree. Requires 8 colors to be specified, the 7th of which is ignored. With scipy>=1.5.0, the 2nd, 3rd and 6th are used twice as often as the others. Given a shorter list, the missing values are replaced with defaults and with a longer list the extra values are ignored. :param (function) distfun: Function to compute the pairwise distance from the observations :param (function) linkagefun: Function to compute the linkage matrix from the pairwise distances :param (list[list]) hovertext: List of hovertext for constituent traces of dendrogram clusters :param (double) color_threshold: Value at which the separation of clusters will be made Example 1: Simple bottom oriented dendrogram >>> from plotly.figure_factory import create_dendrogram >>> import numpy as np >>> X = np.random.rand(10,10) >>> fig = create_dendrogram(X) >>> fig.show() Example 2: Dendrogram to put on the left of the heatmap >>> from plotly.figure_factory import create_dendrogram >>> import numpy as np >>> X = np.random.rand(5,5) >>> names = ['Jack', 'Oxana', 'John', 'Chelsea', 'Mark'] >>> dendro = create_dendrogram(X, orientation='right', labels=names) >>> dendro.update_layout({'width':700, 'height':500}) # doctest: +SKIP >>> dendro.show() Example 3: Dendrogram with Pandas >>> from plotly.figure_factory import create_dendrogram >>> import numpy as np >>> import pandas as pd >>> Index= ['A','B','C','D','E','F','G','H','I','J'] >>> df = pd.DataFrame(abs(np.random.randn(10, 10)), index=Index) >>> fig = create_dendrogram(df, labels=Index) >>> fig.show() zmFigureFactory.create_dendrogram requires scipy, scipy.spatial and scipy.hierarchyz X should be 2-dimensional array.)distfun linkagefun hovertextcolor_threshold)datalayout)scpscsr ImportErrorshapelenr PlotlyErrordistancepdist _DendrogramrFigurerr) X orientationlabels colorscalerrrrs dendrograms rcreate_dendrogramr- sH 3cc ?  A 1v{AB,,$$ ' J   *//*:K:K LLrc z\rSrSrSrSSS\R \R SSSSSS4 SjrS rS r S r S r S r g)r%lz9Refer to FigureFactory.create_dendrogram() for docstring.r Nxaxisyaxisc.[RUS5$r r rs rr_Dendrogram.zsS[[J7rc X lX0lXplXl/Ul/UlURSURS0UlUR0UR00UlURS;aSUR UR'OSUR UR'URS;aSUR UR'OSUR UR'U c[RRn URXXX5upnnnUUlUUlUR5nUR5n/Ul [[U55HAnUUS:XdMUUUR;dM#URR!UU5 MC [UR5[U5S-:a|[#[%UR55n[#['UR55n[UUS-[#UU- [U5- 55nUVs/sHnUPM snUl URR)5 UR+XV5UlXlgs snf)N)leftr )rightr g)r(r)r0r1rleavessignrrr#r$get_dendrogram_tracesflatten zero_valsranger!appendintminmaxsortset_figure_layout)selfr'r(r)r*widthheightr0r1rrrr dd_tracesxvalsyvalsordered_labelsr9 yvals_flat xvals_flatil_borderr_bordercorrect_leaves_posvs r__init___Dendrogram.__init__os'     ZZDJJ2 zz2tzz26   1 1$%DIIdjj !$&DIIdjj !   2 2$%DIIdjj !$&DIIdjj ! ?ll((G<@.sQqTr)key)rgb(0,116,217)zrgb(35,205,205)zrgb(61,153,112)z rgb(40,35,35)zrgb(133,20,75)zrgb(255,65,54)zrgb(255,255,255)zrgb(255,220,0)) )C0r`)C1r_)C2r^)C3ra)C4rb)C5rc)C6rd)C7r_)C8r^)C9rark) rsorteditemsr>r!keyslistKeyErrorn) rEr*ddefault_colorsrgb_colorscalerNrdnew_old_color_mapncocs rget_color_dict_Dendrogram.get_color_dicts %VAGGI>%JK   N(Ns>..012A^((*+A.A3~&&$2$5!3  (FB 5%3%7"(  5%5q!  5s B,,CCc SSSSSSSSS.n[UR5S:waURnURS ;a URnX0R ;a0UR U'UR Vs/sHoDURU-PM snUR US 'URUR US 'S UR US 'UR URU5 UR U$s snf)z Sets and returns default axis object for dendrogram figure. :param (str) axis_key: E.g., 'xaxis', 'xaxis1', 'yaxis', yaxis1', etc. :rtype (dict): An axis_key dictionary with set parameters. linearoutsidealltickstozeroTF)typeticksmirror rangemodeshowticklabelszerolineshowgridshowliner)r6r8tickvalsticktextarraytickmode) r!r)r0r(r1rr=r:update)rEaxis_key axis_defaultsaxis_key_labelszvs rset_axis_layout_Dendrogram.set_axis_layouts !"   t{{ q "jjO#44"&**kk1/1 O,37>>83ARTYYx((>8DKK ( 48<{{DKK ( 47>DKK ( 4 H$$]3{{8$$8s9DcURRSSSUUS.5 URUR5 URUR5 UR$)z@ Sets and returns default layout object for dendrogram figure. Fclosest) showlegendautosize hovermoderFrG)rrrr0r1)rErFrGs rrD_Dendrogram.set_figure_layout$sZ #!&    TZZ( TZZ({{rc U"U5nU"U5n[RUURURSUS9n [R U S5n [R U S5n [R U S5n [R U S5n UR U5n/n[[U 55GHnURS;aU UnOU UnURS;aU UnOU UnU UnSnU(aUUn[S [RURURU5[RURURU5S [UUS 9US S 9n[URS5n[URS5nSU3US'SU3US'UR!U5 GM XXU S4$![a SnNUf=f![a SnNNf=f)a Calculates all the elements needed for plotting a dendrogram. :param (ndarray) X: Matrix of observations as array of arrays :param (list) colorscale: Color scale for dendrogram tree clusters :param (function) distfun: Function to compute the pairwise distance from the observations :param (function) linkagefun: Function to compute the linkage matrix from the pairwise distances :param (list) hovertext: List of hovertext for constituent traces of dendrogram :rtype (tuple): Contains all the traces in the following order: (a) trace_list: List of Plotly trace objects for dendrogram tree (b) icoord: All X points of the dendrogram tree as array of arrays with length 4 (c) dcoord: All Y points of the dendrogram tree as array of arrays with length 4 (d) ordered_labels: leaf labels in the order they are going to appear on the plot (e) P['leaves']: left-to-right traversal of the leaves T)r(r)no_plotricoorddcoordivl color_list)topr Nscatterlines)colortext)rrrcmodemarkerr hoverinfor7rr0rcr1r9)rr,r(r)nprrr>r!dictmultiplyr:r0r1r@ ValueErrorr?)rEr'r*rrrrr|ZPrrrKrcolors trace_listrNxsys color_keyhovertext_labeltracex_indexy_indexs rr;!_Dendrogram.get_dendrogram_traces8s0 AJ qM NN ((;;+  !H+&!H+&!E(+XXa o. $$Z0 s6{#A#44AYAY#44AYAY"1 I"O"+A,++dii 3R8++dii 3R8&"34$ E djjn- djjn- ! ]E'N  ]E'N   e $O$R61X;FF     s$GG1 G.-G.1 H?H) rr)rr9r(r:r0r1r=) __name__ __module__ __qualname____firstlineno____doc__rinfrSrrrDr;__static_attributes__rgrrr%r%lsPC ffvv7CJKZ!%F(SGrr%) collectionsrplotlyrrplotly.graph_objsr get_modulerrrrr-objectr%rgrrrs#/(  )!!'*!!";<!!/2   3\M~_G&_Gr