ó áp7]c@s…ddlZddlZddlmZmZmZddlm Z ddl m Z m Z dZ dd„Zdd„Zd „ZdS( iÿÿÿÿN(treciprtrecipr0tclean0(tmad(t StepFunctiontmonotone_fn_invertertrestructuredtextgê-™—q=cCs’tj|ƒ}t|jƒdkrntjj|ƒ}ttjj tj ||j ƒ|ƒj tj ƒƒƒSttjtj|dƒƒ ƒSdS(sZ Return the rank of a matrix X based on its generalized inverse, not the SVD. igN(tnptasarraytlentshapetscipytlinalgtsvdvalstinttaddtreducetgreatertmaxtastypetint32talltruetequal(tXtcondtD((s<lib/python2.7/site-packages/statsmodels/sandbox/utils_old.pytrank s 8cCs¾|dkrt|ƒ}ntjj|ddƒ\}}}tj|ƒ}|ddd…}g}x5t|ƒD]'}|j|dd…||fƒqqWtjtj |ƒƒj tj ƒS(s» Return a matrix whose column span is the same as X. If the rank of X is known it can be specified as r -- no check is made to ensure that this really is the rank of X. t full_matricesiNiÿÿÿÿ( tNoneRRR tsvdtargsorttrangetappendRt transposeRtfloat64(RtrtVRtUtordertvalueti((s<lib/python2.7/site-packages/statsmodels/sandbox/utils_old.pytfullranks !%cCsktj|dtƒ}|jƒtj|jddƒ|_|jd}tj|ƒd|}t||ƒS(s9 Return the ECDF of an array as a step function. tcopytaxisigð?(RtarraytTruetsorttproductR tarangeR(tvaluestxtnty((s<lib/python2.7/site-packages/statsmodels/sandbox/utils_old.pytECDF.s   (tnumpyRt scipy.linalgR tstatsmodels.tools.toolsRRRtstatsmodels.robust.scaleRt0statsmodels.distributions.empirical_distributionRRt __docformat__RRR)R5(((s<lib/python2.7/site-packages/statsmodels/sandbox/utils_old.pyts