σ ΞYc@@sdZddlmZddlmZddlmZmZmZmZddl m Z ddl m Z ddl mZdd lmZmZmZd e fd „ƒYZd e fd „ƒYZde fd„ƒYZde fd„ƒYZd„Zd„ZdS(s= CollisionModifiers and DataOperators used to specify Chart manipulations. The general approach for these operations is to use a class for modeling the operation, which is lazy evaluated, and doesn't require the data on initialization. An associated, user-facing function is provided for a more friendly interface. i(tabsolute_import(tcopy(tInstancetListtOverridetStringi(t DataOperator(tCollisionModifier(t ColumnLabel(tCounttStattstatstStackcB@s,eZdZeddƒZeddƒZRS(s[Cumulates elements in the order of grouped values. Useful for area or bar glyphs. tdefaulttstackt __stack__(t__name__t __module__t__doc__Rtnamet method_name(((s2lib/python2.7/site-packages/bkcharts/operations.pyR stDodgecB@s,eZdZeddƒZeddƒZRS(shNon-cumulative, moves glyphs around so they don't overlap. Useful for bar, box, or dot glyphs. R tdodget __dodge__(RRRRRR(((s2lib/python2.7/site-packages/bkcharts/operations.pyRstBlendcB@sJeZdZeddddƒZeddddƒZd„Zd„ZRS( s…Creates combined variables, increasing the number of distinct items. The primary action that blend is taking is combining and collapsing multiple columns together, using set algebra. You can think of this like taking two columns with similar or different data and stacking them on top of each other. The new categories are the union of the two sets. The operation is like an OR because a category in either variable is included in the blended variable .. note:: The variables not being blended must be duplicated (consider a sample time). For example, two variables, 'sensor_a' and 'sensor_b' only contain two values, either 'on' or 'off', with one more column of 'datetime'. Blending 'sensor_a' and 'sensor_b' results in two columns, 'datetime' and 'sensors_state'. Example: - cat1 + cat2 = [cat1, cat2] - cat1 + num1 = [cat1, cat(num1)] - num1 + num2 = [num1, num2] Can be used to stack column oriented measures, so they can be colored. In this case, a new categorical column will be created that identifies each measure by name of the previous column. Can be used to combine categorical columns. ToDo: address booleans. Consider two columns, 'was_successful', 'was_effective'. It seems like blending of booleans would be performing an *or*. See Grammar of Graphics pgs. 67, 320 R tvaluethelps^The name of the column to contain the values of the blended columns.tvariablesiThe name of the column to contain the names of the columns that were blended.cO@s*t|ƒ|dt|tƒr>t|ƒ|dtdt|ƒƒ}|jƒ|S|dk rWtd|ƒStdƒ‚dS(s6Stacks the :class:`CompositeGlyph`s. Stacks the glyphs which results in the glyphs having transformed data, which represents the stacked glyphs. Args: *comp_glyphs (:class:`CompositeGlyph`): a sequence of glyphs to stack Returns: comp_glyphs: a list of composite glyphs Rt comp_glyphss&You must stack on renderers or columnsN(tgetR/R RR+t ValueError(R@tkwargsRtstacker((s2lib/python2.7/site-packages/bkcharts/operations.pyRˆs    cO@s t||ŽS(s©Provides a simple function for specifying a Blend data operation. Args: cols (str): each column to use for blending by name **kwargs: the keyword args supported by :class:`Blend` * name (str): name of the column to contain the blended values * labels_name (str): name of the column to contain the name of the columns used for blending See :class:`Blend` (R(R!RC((s2lib/python2.7/site-packages/bkcharts/operations.pytblend’sN(Rt __future__RRtbokeh.core.propertiesRRRRt data_sourceRtmodelsRR"RR R R R RRR,RRE(((s2lib/python2.7/site-packages/bkcharts/operations.pyts"  30