a Dfz(@sddlZddlZddlmZmZmZmZmZm Z ddl m Z ddl m Z mZmZddlmZGdd d eeZGd d d eeZGd d d eeZGdddeeZGdddeZGdddeeZGdddeeZGdddeeZGdddeZdS)N)Dataset Dimension Element2D NdOverlayOverlayutil)process_dimensions)Points Rectangles VectorField)Selection1DExprcsteZdZdZejedgdddZejdddZ ejedgd d dZ dZ d Z dZ dfd d ZfddZZS)Charta A Chart is an abstract baseclass for elements representing one or more independent and dependent variables defining a 1D coordinate system with associated values. The independent variables or key dimensions map onto the x-axis while the dependent variables are usually mapped to the location, height or spread along the y-axis. Any number of additional value dimensions may be associated with a Chart. If a chart's independent variable (or key dimension) is numeric the chart will represent a discretely sampled version of the underlying continuously sampled 1D space. Therefore indexing along this variable will automatically snap to the closest coordinate. Since a Chart is a subclass of a Dataset it supports the full set of data interfaces but usually each dimension of a chart represents a column stored in a dictionary, array or DataFrame. x)r rzW The key dimension(s) of a Chart represent the independent variable(s).defaultboundsdocTrconstantyr Nzm The value dimensions of the Chart, usually corresponding to a number of dependent variables.r Nc sN|t||t|dg|jdkr6|jdtj|fi|dS)Nkdimsr z4Chart elements should only be supplied a single kdim) updater lenget_max_kdim_countparamwarningsuper__init__)selfdatarvdimsparams __class__d/nfs/NAS7/SABIOD/METHODE/ermites/ermites_venv/lib/python3.9/site-packages/holoviews/element/chart.pyr!2s zChart.__init__cs t|S)N)r __getitem__)r"indexr&r(r)r*8szChart.__getitem__)NN)__name__ __module__ __qualname____doc__rListrrStringgroupr$_auto_indexable_1drZ_Chart__abstractr!r* __classcell__r(r(r&r)rsrc@seZdZdZejdddZdS)Scattera Scatter is a Chart element representing a set of points in a 1D coordinate system where the key dimension maps to the points location along the x-axis while the first value dimension represents the location of the point along the y-axis. TrNr,r-r.r/rr1r2r(r(r(r)r5<sr5c@seZdZdZejdddZdS)Curvez Curve is a Chart element representing a line in a 1D coordinate system where the key dimension maps on the line x-coordinate and the first value dimension represents the height of the line along the y-axis. TrNr6r(r(r(r)r7Gsr7cs\eZdZdZejddddZejededgdddZ ej d d d Z dfd d Z Z S) ErrorBarsa ErrorBars is a Chart element representing error bars in a 1D coordinate system where the key dimension corresponds to the location along the x-axis and the first value dimension corresponds to the location along the y-axis and one or two extra value dimensions corresponding to the symmetric or asymmetric errors either along x-axis or y-axis. If two value dimensions are given, then the last value dimension will be taken as symmetric errors. If three value dimensions are given then the last two value dimensions will be taken as negative and positive errors. By default the errors are defined along y-axis. A parameter `horizontal`, when set `True`, will define the errors along the x-axis. TzS A string describing the quantity measured by the ErrorBars object.)rrrrZyerrorr)rrrFzB Whether the errors are along y-axis (vertical) or x-axis.)rrc s|jr dnd}||}||}||kr|rt|r||}|d}t|dkrf|d}n|}t||} t||} |s| | fSt | | |j |j St ||S)aReturn the lower and upper bounds of values along dimension. Range of the y-dimension includes the symmetric or asymmetric error. Args: dimension: The dimension to compute the range on. data_range (bool): Compute range from data values dimension_range (bool): Include Dimension ranges Whether to include Dimension range and soft_range in range calculation Returns: Tuple containing the lower and upper bound rr r) horizontalZget_dimension_indexZ get_dimensionrZdimension_valuesZ dimensionsnpZnanminZnanmaxrdimension_rangerangeZ soft_ranger ) r"ZdimZ data_ranger<Z dim_with_errZdidxmeanZ neg_errorZ pos_errorlowerupperr&r(r)r=ls     zErrorBars.range)TT)r,r-r.r/rr1r2r0rr$Booleanr:r=r4r(r(r&r)r8Rsr8c@seZdZdZejdddZdS)Spreada0 Spread is a Chart element representing a spread of values or confidence band in a 1D coordinate system. The key dimension(s) corresponds to the location along the x-axis and the value dimensions define the location along the y-axis as well as the symmetric or asymmetric spread. TrNr6r(r(r(r)rBsrBc@s6eZdZdZejdddZejedgddZ dZ dS) Barsa, Bars is a Chart element representing categorical observations using the height of rectangular bars. The key dimensions represent the categorical groupings of the data, but may also be used to stack the bars, while the first value dimension represents the height of each bar. Trr)r r9rrr9N) r,r-r.r/rr1r2r0rrrr(r(r(r)rCsrCcsveZdZdZejdgdZejdddZeje dgddd Z eje d gd d Z dZ fd dZ eddZZS) Histograma5 Histogram is a Chart element representing a number of bins in a 1D coordinate system. The key dimension represents the binned values, which may be declared as bin edges or bin centers, while the value dimensions usually defines a count, frequency or density associated with each bin. Zgrid)rTrrr r zW Dimensions on Element2Ds determine the number of indexable dimensions.rZ FrequencyrrDc sd|dur g}t|trLt|dkrLt|ddt|dkrL|ddd}tj|fi|dS)Nrrr ) isinstancetuplerr r!)r"r#r%r&r(r)r!szHistogram.__init__cCs|jj||jdddS)zJProperty to access the Histogram edges provided for backward compatibilityrT)edges)Z interfaceZcoordsr)r"r(r(r)rJszHistogram.edges)r,r-r.r/rr0datatyper1r2rrr$Z_binnedr!propertyrJr4r(r(r&r)rEs rEc@sDeZdZdZejdddZejedgddZ ejgddZ dZ d S) Spikesa Spikes is a Chart element which represents a number of discrete spikes, events or observations in a 1D coordinate system. The key dimension therefore represents the position of each spike along the x-axis while the first value dimension, if defined, controls the height along the y-axis. It may therefore be used to visualize the distribution of discrete events, representing a rug plot, or to draw the strength some signal. TrrrFrD)rNFN) r,r-r.r/rr1r2r0rrr$r3r(r(r(r)rMs  rMc@s,eZdZdZejdddZedddZdS) Areaa Area is a Chart element representing the area under a curve or between two curves in a 1D coordinate system. The key dimension represents the location of each coordinate along the x-axis, while the value dimension(s) represent the height of the area or the lower and upper bounds of the area between curves. Multiple areas may be stacked by overlaying them an passing them to the stack method. TrBaselinec s*t|s |St|t}|r0tddt|D}|jdd}tt|j}fdd|D}d}|j dd }t|d kr|d }t |j |dd |D]~\\} } } | d } | |j |jd d d} |durd | <n| | j|| | j<|| <| | j}|| j | | d|| <q|r&t|S|S)z Stacks an (Nd)Overlay of Area or Curve Elements by offsetting their baselines. To stack a HoloMap or DynamicMap use the map method. cSsi|]\}}||qSr(r().0ielr(r(r) zArea.stack..T)Z multi_indexcsg|]}|jdgqS)rr$)rPrR baseline_namer(r) rTzArea.stack..NF)Z shared_datar r)levelsortrG)r+Z fill_valuerU)rrHrr enumerateZdframelistr=ZndimsclonezipgroupbyZ droplevelZreindexr+uniquenamevalues) clsZareasrWZ is_overlayZdflevelsr$ZbaselineZstackedkeyZsdfZ element_vdimsZvdimr(rVr)stacks,       z Area.stackN)rO) r,r-r.r/rr1r2 classmethodrfr(r(r(r)rNs rN)numpyr;rcorerrrrrrZcore.dimensionr Zgeomr r r Z selectionrrr5r7r8rBrCrErMrNr(r(r(r)s   .  < $