-Ph16ddlmZddlZGddeZdS))BaseTraceHierarchyTypeNcxeZdZdZdZhdZedZejdZedZ e jdZ edZ e jd Z ed Z e jd Z ed Z e jd Z edZ e jdZ edZejdZedZejdZedZejdZedZejdZedZ dfd ZxZS) Dimensionparcatszparcats.dimension> labelvaluesvisibleticktext valuessrc ticktextsrc displayindex categoryarray categoryordercategoryarraysrcc|dS)ai Sets the order in which categories in this dimension appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`. The 'categoryarray' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray rselfs d/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/plotly/graph_objs/parcats/_dimension.pyrzDimension.categoryarraysO$$c||d<dS)Nrrrvals rrzDimension.categoryarray) #_rc|dS)a Sets the source reference on Chart Studio Cloud for `categoryarray`. The 'categoryarraysrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str rrrs rrzDimension.categoryarraysrc-s&''rc||d<dS)Nrrrs rrzDimension.categoryarraysrc<s#&    rc|dS)a Specifies the ordering logic for the categories in the dimension. By default, plotly uses "trace", which specifies the order that is present in the data supplied. Set `categoryorder` to *category ascending* or *category descending* if order should be determined by the alphanumerical order of the category names. Set `categoryorder` to "array" to derive the ordering from the attribute `categoryarray`. If a category is not found in the `categoryarray` array, the sorting behavior for that attribute will be identical to the "trace" mode. The unspecified categories will follow the categories in `categoryarray`. The 'categoryorder' property is an enumeration that may be specified as: - One of the following enumeration values: ['trace', 'category ascending', 'category descending', 'array'] Returns ------- Any rrrs rrzDimension.categoryorder@s0O$$rc||d<dS)Nrrrs rrzDimension.categoryorderZrrc|dS)a* The display index of dimension, from left to right, zero indexed, defaults to dimension index. The 'displayindex' property is a integer and may be specified as: - An int (or float that will be cast to an int) Returns ------- int r rrs rr zDimension.displayindex^sN##rc||d<dS)Nr rrs rr zDimension.displayindexms"^rc|dS)z The shown name of the dimension. The 'label' property is a string and must be specified as: - A string - A number that will be converted to a string Returns ------- str rrrs rrzDimension.labelqsG}rc||d<dS)Nrrrs rrzDimension.labelsW rc|dS)a Sets alternative tick labels for the categories in this dimension. Only has an effect if `categoryorder` is set to "array". Should be an array the same length as `categoryarray` Used with `categoryorder`. The 'ticktext' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray r rrs rr zDimension.ticktextsJrc||d<dS)Nr rrs rr zDimension.ticktextsZrc|dS)z Sets the source reference on Chart Studio Cloud for `ticktext`. The 'ticktextsrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str r rrs rr zDimension.ticktextsrcsM""rc||d<dS)Nr rrs rr zDimension.ticktextsrcs!]rc|dS)a Dimension values. `values[n]` represents the category value of the `n`th point in the dataset, therefore the `values` vector for all dimensions must be the same (longer vectors will be truncated). The 'values' property is an array that may be specified as a tuple, list, numpy array, or pandas Series Returns ------- numpy.ndarray rrrs rrzDimension.valuessH~rc||d<dS)Nrrrs rrzDimension.valuessXrc|dS)z Sets the source reference on Chart Studio Cloud for `values`. The 'valuessrc' property must be specified as a string or as a plotly.grid_objs.Column object Returns ------- str r rrs rr zDimension.valuessrcsK  rc||d<dS)Nr rrs rr zDimension.valuessrcs[rc|dS)z Shows the dimension when set to `true` (the default). Hides the dimension for `false`. The 'visible' property must be specified as a bool (either True, or False) Returns ------- bool r rrs rr zDimension.visiblesIrc||d<dS)Nr rrs rr zDimension.visiblesYrcdS)Na categoryarray Sets the order in which categories in this dimension appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`. categoryarraysrc Sets the source reference on Chart Studio Cloud for `categoryarray`. categoryorder Specifies the ordering logic for the categories in the dimension. By default, plotly uses "trace", which specifies the order that is present in the data supplied. Set `categoryorder` to *category ascending* or *category descending* if order should be determined by the alphanumerical order of the category names. Set `categoryorder` to "array" to derive the ordering from the attribute `categoryarray`. If a category is not found in the `categoryarray` array, the sorting behavior for that attribute will be identical to the "trace" mode. The unspecified categories will follow the categories in `categoryarray`. displayindex The display index of dimension, from left to right, zero indexed, defaults to dimension index. label The shown name of the dimension. ticktext Sets alternative tick labels for the categories in this dimension. Only has an effect if `categoryorder` is set to "array". Should be an array the same length as `categoryarray` Used with `categoryorder`. ticktextsrc Sets the source reference on Chart Studio Cloud for `ticktext`. values Dimension values. `values[n]` represents the category value of the `n`th point in the dataset, therefore the `values` vector for all dimensions must be the same (longer vectors will be truncated). valuessrc Sets the source reference on Chart Studio Cloud for `values`. visible Shows the dimension when set to `true` (the default). Hides the dimension for `false`. rrs r_prop_descriptionszDimension._prop_descriptionss - - rNc tdd| vr| d|_dS|i}nct||jr|}n9t|t rtj|}ntd| dd|_ | dd|_ | d ||| d ||| d ||| d ||| d ||| d||| d||| d|| | d|| | d|| |jdit |fi| d|_ dS)a Construct a new Dimension object The dimensions (variables) of the parallel categories diagram. Parameters ---------- arg dict of properties compatible with this constructor or an instance of :class:`plotly.graph_objs.parcats.Dimension` categoryarray Sets the order in which categories in this dimension appear. Only has an effect if `categoryorder` is set to "array". Used with `categoryorder`. categoryarraysrc Sets the source reference on Chart Studio Cloud for `categoryarray`. categoryorder Specifies the ordering logic for the categories in the dimension. By default, plotly uses "trace", which specifies the order that is present in the data supplied. Set `categoryorder` to *category ascending* or *category descending* if order should be determined by the alphanumerical order of the category names. Set `categoryorder` to "array" to derive the ordering from the attribute `categoryarray`. If a category is not found in the `categoryarray` array, the sorting behavior for that attribute will be identical to the "trace" mode. The unspecified categories will follow the categories in `categoryarray`. displayindex The display index of dimension, from left to right, zero indexed, defaults to dimension index. label The shown name of the dimension. ticktext Sets alternative tick labels for the categories in this dimension. Only has an effect if `categoryorder` is set to "array". Should be an array the same length as `categoryarray` Used with `categoryorder`. ticktextsrc Sets the source reference on Chart Studio Cloud for `ticktext`. values Dimension values. `values[n]` represents the category value of the `n`th point in the dataset, therefore the `values` vector for all dimensions must be the same (longer vectors will be truncated). valuessrc Sets the source reference on Chart Studio Cloud for `values`. visible Shows the dimension when set to `true` (the default). Hides the dimension for `false`. Returns ------- Dimension dimensions_parentNzThe first argument to the plotly.graph_objs.parcats.Dimension constructor must be a dict or an instance of :class:`plotly.graph_objs.parcats.Dimension` skip_invalidF _validateTrrrr rr r rr r r)super__init__r1 isinstance __class__to_plotly_jsondict_copycopy ValueErrorpop _skip_invalidr3 _set_property_process_kwargs)rargrrrr rr r rr r kwargsr7s rr5zDimension.__init__sV &&&   !),DL F ;CC T^ , , $$&&CC T " " *S//CC? $ZZ>>K66 ?C??? -s4DEEE ?C??? >3 === 7C/// :sH555 =#{;;; 8S&111 ;Y777 9c733333tC22622333"r) NNNNNNNNNNN)__name__ __module__ __qualname___parent_path_str _path_str _valid_propspropertyrsetterrrr rr r rr r r.r5 __classcell__)r7s@rrrs #I   L % %X %$$$ ( (X ('''%%X%2$$$ $ $X $###  X  \\  X __ # #X #"""X  ]] ! !X !     X  ^^. . X. d l#l#l#l#l#l#l#l#l#l#rr)plotly.basedatatypesr_BaseTraceHierarchyTyper;r:rrrrrNseSRRRRRz#z#z#z#z#'z#z#z#z#z#r