ó ÎYc @@sÐdZddlmZddlmZmZddlmZddlm Z ddl m Z dd l m Z dd lmZdd lmZmZddddd d eedd„ Zde fd„ƒYZdS(s&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. i(tabsolute_import(tBooltString(tRange1di(tcreate_and_buildi(t BarBuilder(tBoxGlyph(ttitle_from_columns(t ColorAttrtCatAttrt categoricaltlinearc K@s•| r%t| tƒ r%tdƒ‚n| } || d<|| d<|| d<|| d<|| d<|| d<|| d<|| d <| | d ` 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)) sCcontinuous_range must be an instance of bokeh.models.ranges.Range1dtlabeltvaluestcolortgrouptxscaletyscaletxgridtygridty_range(t isinstanceRt ValueErrorRtBoxPlotBuilder( tdataR R RRRRRRtcontinuous_rangetkwR((s@lib/python2.7/site-packages/bkcharts/builders/boxplot_builder.pytBoxPlot$s:          RcB@sµeZdZieƒd6eddƒd6eddƒd6eddƒd6eddƒd 6eddƒd 6eƒd 6eƒd 6Zed dƒZede d dƒZ e Z d„Z RS(s¨Produces 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. R tdefaulttDimGreyRtredtoutlier_fill_colortoutlier_line_colortblackt whisker_colort line_colortstackRthelpsE The marker type to use (e.g., ``circle``) if outliers=True. s6 Whether to display markers for any outliers. cC@sP|jdkr!|jj|_n|jdkrLt|jdjƒ|_ndS(NR (tylabeltNoneR tselected_titletxlabelRt attributestcolumns(tself((s@lib/python2.7/site-packages/bkcharts/builders/boxplot_builder.pytsetups(t__name__t __module__t__doc__R Rtdefault_attributesRtmarkerRtTruetoutliersRtglyphR-(((s@lib/python2.7/site-packages/bkcharts/builders/boxplot_builder.pyRrs      N(R0t __future__Rtbokeh.core.propertiesRRt bokeh.modelsRtbuilderRt bar_builderRtglyphsRtutilsRR*RR R'tFalseR3RR(((s@lib/python2.7/site-packages/bkcharts/builders/boxplot_builder.pyts   L