import _plotly_utils.basevalidators class DimensionsValidator(_plotly_utils.basevalidators.CompoundArrayValidator): def __init__(self, plotly_name="dimensions", parent_name="parcats", **kwargs): super(DimensionsValidator, self).__init__( plotly_name=plotly_name, parent_name=parent_name, data_class_str=kwargs.pop("data_class_str", "Dimension"), data_docs=kwargs.pop( "data_docs", """ 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`. """, ), **kwargs )