B Y @sdZddlmZddlmZmZddlmZddlm Z ddl m Z dd l m Z dd lmZdd lmZmZdddZGddde Zd S)a&This is the Bokeh charts interface. It gives you a high level API to build complex plot is a simple way. This is the BoxPlot class which lets you build your BoxPlot plots just passing the arguments to the Chart class and calling the proper functions. It also add a new chained stacked method. )absolute_import)BoolString)Range1d)create_and_build) BarBuilder)BoxGlyph)title_from_columns) ColorAttrCatAttrN categoricallinearFTc Ksp| rt| tstd| } || d<|| d<|| d<|| d<|| d<|| d<|| d<|| d <| | d <tt|f| S) ad Create a BoxPlot chart containing one or more boxes from table-like data. Create a boxplot chart using :class:`BoxPlotBuilder ` to render the glyphs from input data and specification. This primary use case for the boxplot is to depict the distribution of a variable by providing summary statistics for it. This boxplot is particularly useful at comparing distributions between categorical variables. This chart implements functionality for segmenting and comparing the values of a variable by an associated categorical variable. Reference: `BoxPlot on Wikipedia `_ Args: data (:ref:`userguide_charts_data_types`): the data source for the chart values (str, optional): the values to use for producing the boxplot using table-like input data label (str or list(str), optional): the categorical variable to use for creating separate boxes color (str or list(str) or bkcharts._attributes.ColorAttr, optional): the categorical variable or color attribute specification to use for coloring the boxes. whisker_color (str or list(str) or bkcharts._attributes.ColorAttr, optional): the color of the "whiskers" that show the spread of values outside the .25 and .75 quartiles. marker (str or list(str) or bkcharts._attributes.MarkerAttr, optional): the marker glyph to use for the outliers outliers (bool, optional): whether to show outliers. Defaults to True. **kw: In addition to the parameters specific to this chart, :ref:`userguide_charts_defaults` are also accepted as keyword parameters. Returns: :class:`Chart`: includes glyph renderers that generate Boxes and Whiskers Examples: .. bokeh-plot:: :source-position: above from bkcharts import BoxPlot, output_file, show from bokeh.layouts import row from bokeh.sampledata.autompg import autompg as df box = BoxPlot(df, values='mpg', label='cyl', title="Auto MPG Box Plot", plot_width=400) box2 = BoxPlot(df, values='mpg', label='cyl', color='cyl', title="MPG Box Plot by Cylinder Count", plot_width=400) output_file('box.html') show(row(box, box2)) zCcontinuous_range must be an instance of bokeh.models.ranges.Range1dlabelvaluescolorgroupxscaleyscalexgridygridy_range) isinstancer ValueErrorrBoxPlotBuilder) datarrrrrrrrZcontinuous_rangekwrr@lib/python3.7/site-packages/bkcharts/builders/boxplot_builder.pyBoxPlot$s:r c @sleZdZdZeeddeddeddeddeddeedZeddZe d d d Z e Z d d Z dS)rzProduces Box Glyphs for groups of data. Handles box plot options to produce one to many boxes, which are used to describe the distribution of a variable. ZDimGrey)defaultZredZblack)rrZoutlier_fill_colorZoutlier_line_colorZ whisker_colorZ line_colorstackrzE The marker type to use (e.g., ``circle``) if outliers=True. )helpTz6 Whether to display markers for any outliers. )r!r#cCs4|jdkr|jj|_|jdkr0t|jdj|_dS)Nr)ZylabelrZselected_titleZxlabelr attributescolumns)selfrrrsetups   zBoxPlotBuilder.setupN)__name__ __module__ __qualname____doc__r r Zdefault_attributesrZmarkerrZoutliersr Zglyphr'rrrrrrs r) NNNNrrFTN)r+Z __future__rZbokeh.core.propertiesrrZ bokeh.modelsrZbuilderrZ bar_builderr Zglyphsr Zutilsr r$r r r rrrrrs       L