ó àYc@@sbdZddlmZddlZddlZddlmZddl m Z ddl m Z ddl mZmZmZmZmZmZmZmZmZdd lmZmZmZd e fd „ƒYZd efd „ƒYZdefd„ƒYZdefd„ƒYZdefd„ƒYZdefd„ƒYZ defd„ƒYZ!defd„ƒYZ"defd„ƒYZ#defd„ƒYZ$defd„ƒYZ%d efd!„ƒYZ&d"efd#„ƒYZ'd$e'fd%„ƒYZ(d&e'fd'„ƒYZ)ddddd(„Z+i ed)6ed*6ed+6ed,6e d-6e!d.6e"d/6e#d06e$d16Z,dS(2sá Statistical methods used to define or modify position of glyphs. References: Wilkinson L. The Grammer of Graphics, sections 7, 7.1 Method Types: - Bin: Partitions a space before statistical calculation - Summary: Produces a single value comprising a statistical summary - Region: Produces two values bounding an interval. - Smooth: Produces values representing smoothed versions of the input data. - Link: Produces edges from pairs of nodes in a graph. i(tabsolute_importN(t string_types(tColumnDataSource(tHasProps( tBooltDatetDatetimetEithertFloattInstancetInttListtStringi(tColumnt ColumnLabelt EitherColumntStatc B@sÅeZdZeddƒZeeddƒZee e ƒe e ƒe e ƒe e ƒe eƒe eƒdd ddƒZe ddƒZd„Zd„Zd d „Zd d „Zd „Zd „ZRS(s³Represents a statistical operation to summarize a column of data. Can be computed from either a ColumnLabel with a ColumnDataSource, *or*, a discrete column of data. thelpsfA column to use for the stat calculation. Required when providing a ColumnDataSource as input.sFOne option for providing the data source for stat calculation.tdefaults… Second option for providing values for stat calculation is by passing the actual column of data.s{The value calculated for the stat. Some stats could use multiple properties to provide the calculation if required.cK@sp|jddƒ}|dk rLt|tjƒr?t|ƒ}n||dstBincB@sËeZdZeeeeƒƒZeeeeƒƒZeeeeƒƒZ eƒZ eƒZ eeeeƒƒZ e edeƒƒZeƒZddd„Zed„ƒZd„Zd„Zd„ZRS(sARepresents a single bin of data values and attributes of the bin.Rc K@s<t|tƒrt|ƒ}n*t|tƒr9|g}nt|ƒg}||d<|j|ƒ}t|Œ\}}gt||ƒD]\}} || d^qƒ} t|ƒdkrÖ|d}|d}| d} n$t|ƒ}t|ƒ}t| ƒ} ||d<||d<| |d<||dRfRgR tlabelsRRRhR (((s-lib/python2.7/site-packages/bkcharts/stats.pyReÝs    t BinnedStatcB@s¶eZdZeeddƒZeeeƒddƒZee de ƒddƒZ e ƒZ e ƒZedeƒZedeƒZeƒZd d d dd d„Zd„Zd „ZRS( sc Base class for shared functionality accross bins and aggregates dimensions for plotting. RsW A mapping between each dimension and associated binning calculations. sø A list of the `Bin` instances that were produced as result of the inputs. Iterating over `Bins` will iterate over this list. Each `Bin` can be inspected for metadata about the bin and the values associated with it. RsQ The statistical operation to be used on the values in each bin. R3cK@spt|tƒrt|ƒ}n|p(d|d<||d<||d<||d<||_tt|ƒj|dS(NtvalsR!R`R"R(RRHtstatst_binsRRqR(RR"R!RZR`RR((s-lib/python2.7/site-packages/bkcharts/stats.pyR.s    cC@shi}|jdk r2|j|d<|j|d|jdk r:tt|jdd„d|ƒƒ|_ndS(NtkeycS@s|jS(N(RE(tx((s-lib/python2.7/site-packages/bkcharts/stats.pytŽstreverse(RZRRGtsorted(Rt ascending((s-lib/python2.7/site-packages/bkcharts/stats.pytsortŒs(R*R+R,R R™RšRzR¡(((s-lib/python2.7/site-packages/bkcharts/stats.pyR}Os  .  t HistogramcB@s)eZdZeeddƒZd„ZRS(sðBins and aggregates dimensions for plotting. Takes the inputs and produces a list of bins that can be iterated over and inspected for their metadata. The bins provide easy access to consistent labeling, bounds, and values. Rsf Whether to normalize the histogram. If True, the result is the value of the probability *density* function at the bin, normalized such that the *integral* over the range is 1. If False, the result will contain the number of samples in each bin. For more info check ``numpy.histogram`` function documentation. (default: False) c C@s;d}|j||_|jjƒ}|jj}tjtj|ƒd|jd|ƒ\}}tj |d|ddƒ|_ g|_x¬t |ƒD]ž\}}||d||}|dkrâd||||df} nd||||df} |jj t d | d ||gd tƒd |ƒƒq•WdS( NR~tdensityRZiiis[%f, %f]s(%f, %f]RLR"R`Rc(R!RxRwRRZRit histogramtarrayR£R‰Rlt enumerateRRAR<( RRR#RZR“R”titbRctlbl((s-lib/python2.7/site-packages/bkcharts/stats.pyR ¦s '!  +(R*R+R,RR|R£R (((s-lib/python2.7/site-packages/bkcharts/stats.pyR¢’s cK@s@t|tƒr|}d}nd}td|d|d||S(s8Specify binning or bins to be used for column or values.R"R!RZN(RRHRR}(R#R"R!RZRptkwargs((s-lib/python2.7/site-packages/bkcharts/stats.pyRZ¾s  R/R1R3R5R7tstddevR;R=R?(-R,t __future__RtnumpyRitpandasRtsixRtbokeh.models.sourcesRtbokeh.core.has_propsRtbokeh.core.propertiesRRRRRR R R R RR RRRR.R0R2R4R6R8R:R<R>RAReRqR}R¢RRZRs(((s-lib/python2.7/site-packages/bkcharts/stats.pyt sD  @N A5=C,