o d|6@sddlmZddlmZddlmZmZddlmZe dZ e dZ e dZ e dZ d d d d d d d d fd dZGdddeZd S))absolute_import) OrderedDict) exceptionsoptional_imports) graph_objsnumpyscipyzscipy.cluster.hierarchyz scipy.spatialbottomNcC t|dSNcompleteschlinkagexrf/var/www/html/visualizacion-main/env/lib/python3.10/site-packages/plotly/figure_factory/_dendrogram.py rc Csjtrtrts td|j}t|dkrtd|dur tjj }t ||||||||d} t j | j | jdS)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.N)distfun linkagefun hovertextcolor_threshold)datalayout)scpscsr ImportErrorshapelenr PlotlyErrordistancepdist _DendrogramrFigurerr) X orientationlabels colorscalerrrrs dendrogramrrrcreate_dendrograms( D   r-c @sXeZdZdZdddejejdddddddf dd Zd d Zd d ZddZ ddZ dS)r%z9Refer to FigureFactory.create_dendrogram() for docstring.r NxaxisyaxiscCr r r rrrrr~rz_Dendrogram.c Cs||_||_||_||_g|_g|_|jd|jdi|_|ji|jii|_|jdvr0d|j|j<nd|j|j<|jdvrBd|j|j<nd|j|j<| durPtj j } | ||| | | | \} }}}}||_||_| }| }g|_ tt|D]}||dkr|||j vr|j ||qvt|j t|dkrtt|j }tt|j }t||dt||t|}dd|D|_ |j ||||_| |_dS)N)leftr )rightr gcSsg|]}|qSrr).0vrrr sz(_Dendrogram.__init__..)r(r)r.r/rleavessignrrr#r$get_dendrogram_tracesflatten zero_valsranger!appendintminmaxsortset_figure_layout)selfr'r(r)r*widthheightr.r/rrrr dd_tracesxvalsyvalsordered_labelsr7 yvals_flat xvals_flatil_borderr_bordercorrect_leaves_posrrr__init__ssL       z_Dendrogram.__init__c Csddddddddd }tt|d d d }|d ur gd}n|}tt|D]}t||}|t|kr@||||<q*gd}|D]\}} z|| ||<WqGty`d|t<YqGw|S)z Returns colorscale used for dendrogram tree clusters. :param (list) colorscale: Colors to use for the plot in rgb format. :rtype (dict): A dict of default colors mapped to the user colorscale. redgreenbluecyanmagentayellowblackwhite)rgbcmykwcSs|dS)Nrr)trrrrsz,_Dendrogram.get_color_dict..)keyN)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[)C1rZ)C2rY)C3r\)C4r])C5r^)C6r_)C7rZ)C8rY)C9r\rc) rsorteditemsr<r!keyslistKeyErrorn) rCr*ddefault_colorsrgb_colorscalerLr_new_old_color_mapncocrrrget_color_dicts4        z_Dendrogram.get_color_dictc sddddddddd}tjdkrFj}jd vrj}|jvr'ij|<fd d jDj|d <jj|d <dj|d<j|jS)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)r1r3csg|] }|jqSr)r8)r4zvaxis_keyrCrrr6sz/_Dendrogram.set_axis_layout..tickvalsticktextarraytickmode)r!r)r.r(r/rr;update)rCr axis_defaultsaxis_key_labelsrrrset_axis_layouts,       z_Dendrogram.set_axis_layoutcCs6|jddd||d||j||j|jS)zP Sets and returns default layout object for dendrogram figure. Fclosest) showlegendautosize hovermoderDrE)rrrr.r/)rCrDrErrrrB(s z_Dendrogram.set_figure_layoutc Cs||}||}tj||j|jd|d} t| d} t| d} t| d} t| d} ||}g}tt| D]}|jdvrI| |}n| |}|jdvrW| |}n| |}| |}d}|rg||}t d t |j |j |t |j |j|d t ||d |d d }z t|j d}Wn tyd}Ynwz t|jd}Wn tyd}Ynwd||d<d||d<||q=|| | | | dfS)ao 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)rrr^modemarkerr hoverinfor2rr.r^r/r7)rr,r(r)rrrzr<r!dictnpmultiplyr8r.r/r> ValueErrorr=)rCr'r*rrrrrtZPrrrIrcolors trace_listrLxsys color_keyhovertext_labeltracex_indexy_indexrrrr9<sb            z!_Dendrogram.get_dendrogram_traces) __name__ __module__ __qualname____doc__rinfrPrzrrBr9rrrrr%ps$ EM# r%) __future__r collectionsrplotlyrrplotly.graph_objsr get_modulerrrrr-objectr%rrrrs"        _