x\c @ sdZddlmZddlZddlZddljZddlmZm Z m Z m Z m Z ddl mZddlmZmZmZddlmZddlmZmZmZdd lmZmZmZmZdd lm Z ddl!j"j#Z$dd l%m&Z&dd l'm(Z(m)Z)dd l*m+Z+m,Z,m-Z-m.Z.ddl/j"j0j1Z2ddl3m4Z4ddl5m6Z6m7Z7m8Z8ddl9j"j:Z:ddl;m<Z<ddl=m>Z>ddl?m@Z@eAddddddddddddZBdjCdeBdeBd>> years = range(1960,1963) >>> panels = ['A', 'B', 'C'] >>> panel_idx = panel_index(years, panels) >>> panel_idx MultiIndex([(1960, 'A'), (1961, 'A'), (1962, 'A'), (1960, 'B'), (1961, 'B'), (1962, 'B'), (1960, 'C'), (1961, 'C'), (1962, 'C')], dtype=object) or >>> years = np.repeat(range(1960,1963), 3) >>> panels = np.tile(['A', 'B', 'C'], 3) >>> panel_idx = panel_index(years, panels) >>> panel_idx MultiIndex([(1960, 'A'), (1960, 'B'), (1960, 'C'), (1961, 'A'), (1961, 'B'), (1961, 'C'), (1962, 'A'), (1962, 'B'), (1962, 'C')], dtype=object) R0tpanelt sortordertnamesN(tNoneR6Rt from_arrays(R0R1R9((s0lib/python2.7/site-packages/pandas/core/panel.pyt panel_index@s& c B seZdZedZeZdPdPdPdPedPdZ dZ dPdZ dZ e eddPdZdZd ZdPed Zd Zd Zd ZdZeZdZddPdZdZdZdZeje_dZdZeje_dZdZdZ ddZ!ddZ"ddZ#ddZ$d Z%d!Z&dd"ed#Z'dd$Z(d%Z)dd&Z*d'Z+d(Z,d)Z-d*d+Z.e.Z/dd,Z0d-d.Z1e2d/Z3d-d0Z4d1Z5d2Z6de2dPdPd3Z7dPd4Z8d5Z9e:e;e<e=j>jd6Z>e:e;e<e=j?jdPdPdPd7Z?e<e@d8e;ddPdPe2dPeAjBd9ZCe:e;e<e=jDjd:ZDe:e;e<e=jEjdPdPdPedPdPd;ZEd-d<ZFd*dPd-d=ZGd*dPd-d>ZHd?ddd@ZIeJdAdBdCdDdEidFe6dGe26d?e2dPdFdHZKdIZLeMdJZNeMdKZOeMe2dLZPeMe2dPdMZQeMdedNZRdOZSRS(QsM Represents wide format panel data, stored as 3-dimensional array. .. deprecated:: 0.20.0 The recommended way to represent 3-D data are with a MultiIndex on a DataFrame via the :attr:`~Panel.to_frame()` method or with the `xarray package `__. Pandas provides a :attr:`~Panel.to_xarray()` method to automate this conversion. Parameters ---------- data : ndarray (items x major x minor), or dict of DataFrames items : Index or array-like axis=0 major_axis : Index or array-like axis=1 minor_axis : Index or array-like axis=2 copy : boolean, default False Copy data from inputs. Only affects DataFrame / 2d ndarray input dtype : dtype, default None Data type to force, otherwise infer cC s t|S(N(ttype(tself((s0lib/python2.7/site-packages/pandas/core/panel.pyt _constructorsc C sHtjdtdd|jd|d|d|d|d|d |dS( Nsd Panel is deprecated and will be removed in a future version. The recommended way to represent these types of 3-dimensional data are with a MultiIndex on a DataFrame, via the Panel.to_frame() method Alternatively, you can use the xarray package http://xarray.pydata.org/en/stable/. Pandas provides a `.to_xarray()` method to help automate this conversion. t stacklevelitdatatitemst major_axist minor_axistcopytdtype(twarningstwarnt FutureWarningt _init_data(R>RARBRCRDRERF((s0lib/python2.7/site-packages/pandas/core/panel.pyt__init__s c K s|dkri}n|dk r3|j|}ng|jD]}|j|d^q=}|rtdjt|jdnd}t|t rt j |rgt ||j D]$\}} |dk r|n| ^q}n|} nt|tr,|j||d|} t}d}nt|tjtfrq|j||d|d|} t}d}nt|rt j|rtg|D]}t|^q|d|} |j| |d| jdt} t}n tdtj|| d|d|d|dS(sf Generate ND initialization; axes are passed as required objects to __init__. s5_init_data() got an unexpected keyword argument "{0}"iRFREs&Panel constructor not properly called!R!N(R:t_validate_dtypet _AXIS_ORDERStpopt TypeErrortformattlisttkeyst isinstanceRtcomt _any_not_noneRR!tdictt _init_dicttFalseR,tndarrayt _init_matrixRt _all_not_noneR R+RFt ValueErrorRRK( R>RARERFtkwargstat passed_axesR!txtytmgrtvalues((s0lib/python2.7/site-packages/pandas/core/panel.pyRJs<   ( =      c s|j|jdk rRttfdtj|D}ntj|}t |xBtj|D]1\}}t |t r}|j |||s taxisRFRE(RNt_info_axis_numberR:RRtcompatt iteritemsRTtdict_keys_to_ordered_listRRSRVt_constructor_slicedt enumeratet _extract_axist_extract_axes_for_sliceR+tgetR,temptytfilltnanRERXtreindextastypeRctappendt _init_arrays(R>RAR!RFRRReRftiR^traxestraxes_smtarrayst haxis_shapethRctd((Rgs0lib/python2.7/site-packages/pandas/core/panel.pyRWs:   F      cC st|||S(N(R(R>R|t arr_namesR!((s0lib/python2.7/site-packages/pandas/core/panel.pyRxsRBc C sddlm}|j}|dkr|t}xKtj|D]:\}}x+tj|D]\} } | || |tkey((s0lib/python2.7/site-packages/pandas/core/panel.pyRs  c C s|j}|j|}t|ttjfr||}t||}|gtdg|jd}|j |}|j |j d}|||j <|j ||} | S|j|SdS(Ni(Rtget_locRSRR,RYRR:t _AXIS_LENRct_construct_axes_dictRMRR?t_get_item_cache( R>RtinfoRt new_indext result_indextslicest new_valuesRtresult((s0lib/python2.7/site-packages/pandas/core/panel.pyR&s  !  c C s|j||d|}|dk rfy|j|}Wqftk rbtdjd|qfXn|j}g}xUt|D]G\}} | dkrtj ||} n t | } |j | qWt |g|S(NREsfailed to cast to {datatype}tdatatype( t _prep_ndarrayR:Rvt ExceptionR\RPtshapeRntibaset default_indexRRwR( R>RAR!RFRERcRt fixed_axesRytax((s0lib/python2.7/site-packages/pandas/core/panel.pyRZ6s      c sbjstdnfdjD}jdt}jd||S(Ns6Can only compare identically-labeled same type objectsc s*i|] }|||qS(((RdR(tfunctotherR>(s0lib/python2.7/site-packages/pandas/core/panel.pys Ss RERA(t _indexed_sameRRRRXR?(R>RRRR((RRR>s0lib/python2.7/site-packages/pandas/core/panel.pyt_compare_constructorNs  c  stj}tdjddjgtjjD]$\}}djd|d|^q7}fd}dj||ggjD]}||^q}|S( s Return a string representation for a particular Panel. Invoked by unicode(df) in py2 only. Yields a Unicode String in both py2/py3. sDimensions: {dimensions}t dimensionss x s{shape} ({axis})RRhc  s}t|}t|dkr]tdjd|jdt|ddt|dStdjd|jSdS(Nis{ax} axis: {x} to {y}RR`Rais{ax} axis: None(tgetattrR+RRPt capitalizeR (R^Rf(R>(s0lib/python2.7/site-packages/pandas/core/panel.pyt axis_prettyjs s (tstrt __class__RRPtjoinRRMR(R>t class_nameRhRtdimsRR^toutput((R>s0lib/python2.7/site-packages/pandas/core/panel.pyt __unicode__\sF /cC sj|j|}|dkr*d}d}n|dkrEd}d}n|dkr`d}d}n||fS(s Get my plane axes indexes: these are already (as compared with higher level planes), as we are returning a DataFrame axes indexes. RCRDRB(t_get_axis_name(R>Rht axis_nametindextcolumns((s0lib/python2.7/site-packages/pandas/core/panel.pyt_get_plane_axes_indexws      cC s)g|j|D]}|j|^qS(s Get my plane axes indexes: these are already (as compared with higher level planes), as we are returning a DataFrame axes. (Rt _get_axis(R>Rhtaxi((s0lib/python2.7/site-packages/pandas/core/panel.pyt_get_plane_axesscO stddS(s NOT IMPLEMENTED: do not call this method, as sparsifying is not supported for Panel objects and will raise an error. Convert to SparsePanel. s.sparsifying is not supported for Panel objectsN(tNotImplementedError(R>targsR]((s0lib/python2.7/site-packages/pandas/core/panel.pyt to_sparsesR&c K sddlm}t|tjr7||d|}n|}||dtpathRRR]RtwriterRRtname((s0lib/python2.7/site-packages/pandas/core/panel.pyRs&  cC s|j|jjS(N(t_consolidate_inplacet_datatas_array(R>((s0lib/python2.7/site-packages/pandas/core/panel.pyt as_matrixs cO s&tjdtdd|j||S(s Quickly retrieve single value at (item, major, minor) location. .. deprecated:: 0.21.0 Please use .at[] or .iat[] accessors. Parameters ---------- item : item label (panel item) major : major axis label (panel item row) minor : minor axis label (panel item column) takeable : interpret the passed labels as indexers, default False Returns ------- value : scalar value smget_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors insteadR@i(RGRHRIt _get_value(R>RR]((s0lib/python2.7/site-packages/pandas/core/panel.pyt get_values cO st|}|j}||kr<tdj||n|jdd}|r|tdjt|jdn|tkr|j |d}n|j |d}|j d||dS(NsPThere must be an argument for each axis, you gave {0} args, but {1} are requiredttakeables4get_value() got an unexpected keyword argument "{0}"ii( R+RRORPRNR:RQRRtTruet_iget_item_cacheRR(R>RR]tnargstnreqRR((s0lib/python2.7/site-packages/pandas/core/panel.pyRs      cO s&tjdtdd|j||S(sX Quickly set single value at (item, major, minor) location. .. deprecated:: 0.21.0 Please use .at[] or .iat[] accessors. Parameters ---------- item : item label (panel item) major : major axis label (panel item row) minor : minor axis label (panel item column) value : scalar takeable : interpret the passed labels as indexers, default False Returns ------- panel : Panel If label combo is contained, will be reference to calling Panel, otherwise a new object smset_value is deprecated and will be removed in a future release. Please use .at[] or .iat[] accessors insteadR@i(RGRHRIt _set_value(R>RR]((s0lib/python2.7/site-packages/pandas/core/panel.pyt set_value s c O st|}|jd}||kr@tdj||n|jdd}|rtdjt|jdnyT|tkr|j |d}n|j |d}|j d||d|SWnt k r|j |}|j||dt}|j|} t|}t|d\} |dRR]RRRRR!RRt likely_dtypet made_bigger((s0lib/python2.7/site-packages/pandas/core/panel.pyR&s2        cC sj|j|jkrD|j|}|jdjr@||}n|S|j|jd}|j||S(Nii(tndimR?Rt is_uniquet_construct_axes_dict_for_sliceRMRm(R>RRcRR((s0lib/python2.7/site-packages/pandas/core/panel.pyt_box_item_valuesKs cC s=tj||}t|j}t||jr^|j|j|jd}|j }nt|t j r|j|dkrt dj |dttt|jnt j|}n@t|rt|d|}ntdj dt||jtdg|d}tj|||dS(Nis9shape of value must be {0}, shape of given object was {1}s"Cannot set item of type: {dtype!s}RF(RTRttupleRRSRmRuRRMRcR,RYR\RPRtinttasarrayRR ROR=treshapeRt _set_item(R>RtvalueRtmat((s0lib/python2.7/site-packages/pandas/core/panel.pyt __setitem__Xs"  (   c C s}ddlm}|}|\}}}}||}||}||}||}t||||} | j|_dS(s% Unpickle the panel. i(t_unpickle_arrayN(tpandas.io.pickleRR#R( R>tstateRt _unpickletvalsRBtmajorRRctwp((s0lib/python2.7/site-packages/pandas/core/panel.pyt_unpickle_panel_compatns    cC s(|j|}|j|j||S(s Conform input DataFrame to align with chosen axis pair. Parameters ---------- frame : DataFrame axis : {'items', 'major', 'minor'} Axis the input corresponds to. E.g., if axis='major', then the frame's columns would be items, and the index would be values of the minor axis Returns ------- DataFrame (RRuRp(R>tframeRhR!((s0lib/python2.7/site-packages/pandas/core/panel.pytconform~sicC s tdS(N(R(R>tn((s0lib/python2.7/site-packages/pandas/core/panel.pytheadscC s tdS(N(R(R>R((s0lib/python2.7/site-packages/pandas/core/panel.pyttailsicO sZtj||t|rJtjtjd|j}|j|ddStddS(s Round each value in Panel to a specified number of decimal places. .. versionadded:: 0.18.0 Parameters ---------- decimals : int Number of decimal places to round to (default: 0). If decimals is negative, it specifies the number of positions to the left of the decimal point. Returns ------- Panel object See Also -------- numpy.around iRhsdecimals must be an integerN( tnvtvalidate_roundRR,tapply_along_axistroundRct _wrap_resultRO(R>tdecimalsRR]R((s0lib/python2.7/site-packages/pandas/core/panel.pyRs  cC stS(sE Don't allow a multi reindex on Panel or above ndim. (RX(R>R!tmethodtlevel((s0lib/python2.7/site-packages/pandas/core/panel.pyt_needs_reindex_multiscK s tdS(N(R(R>RR]((s0lib/python2.7/site-packages/pandas/core/panel.pytalignstanyc C s|j|}|j}t|}x?tttt|j|hD]}|j|}qMWt j |j | |j |d}|dkr|dk}n ||k}|j ||} |j | d|} |r|j| n| SdS(s? Drop 2D from panel, holding passed axis constant. Parameters ---------- axis : int, default 0 Axis to hold constant. E.g. axis=1 will drop major_axis entries having a certain amount of NA data how : {'all', 'any'}, default 'any' 'any': one or more values are NA in the DataFrame along the axis. For 'all' they all must be. inplace : bool, default False If True, do operation inplace and return None. Returns ------- dropped : Panel italliRhN(t_get_axis_numberRcRtreversedRtsetRRtsumR,tprodRRt reindex_axist_update_inplace( R>RhthowtinplaceRctmaskRt per_slicetcondtnew_axR((s0lib/python2.7/site-packages/pandas/core/panel.pytdropnas  /%  cC st|tr|j||St|trD|j||d|St|r`|j||Stdjdt |dt |dS(NRhsA{otype!s} is not supported in combine operation with {selftype!s}totypetselftype( RSR#t_combine_panelRt_combine_frameRt_combine_constRRPR=(R>RRRh((s0lib/python2.7/site-packages/pandas/core/panel.pyt_combines  cC sGtjdd||j|}WdQX|j}|j||S(NRtignore(R,terrstateRcRR?(R>RRRR((s0lib/python2.7/site-packages/pandas/core/panel.pyRs cC s|j|\}}|j|}|jd|d|}tjdd|dkrs||j|j}n|dkr||jjdd|jj}|jdd}nB|dkr||jjdd|j}|jdd}nWdQX|j||j |j |j S(NRRRRiii( RRRuR,RRctswapaxestTR?RBRCRD(R>RRRhRRR((s0lib/python2.7/site-packages/pandas/core/panel.pyRs  $ !cC s|jj|j}|jj|j}|jj|j}|jd|d|d|}|jd|d|d|}tjdd||j|j}WdQX|j||||S(NRBRRRR( RBtunionRCRDRuR,RRcR?(R>RRRBRRtthist result_values((s0lib/python2.7/site-packages/pandas/core/panel.pyR scC s|j|d|jdS(s Return slice of panel along major axis. Parameters ---------- key : object Major axis label Returns ------- y : DataFrame index -> minor axis, columns -> items Notes ----- major_xs is only for getting, not setting values. MultiIndex Slicers is a generic way to get/set values on any level or levels and is a superset of major_xs functionality, see :ref:`MultiIndex Slicers ` Rhi(txsR(R>R((s0lib/python2.7/site-packages/pandas/core/panel.pytmajor_xsscC s|j|d|jdS(s Return slice of panel along minor axis. Parameters ---------- key : object Minor axis label Returns ------- y : DataFrame index -> major axis, columns -> items Notes ----- minor_xs is only for getting, not setting values. MultiIndex Slicers is a generic way to get/set values on any level or levels and is a superset of minor_xs functionality, see :ref:`MultiIndex Slicers ` Rhi(R#R(R>R((s0lib/python2.7/site-packages/pandas/core/panel.pytminor_xs1sicC s|j|}|dkr#||S|j|j|}|jj|d|dt}|j|}|j}|j|d||S(s Return slice of panel along selected axis. Parameters ---------- key : object Label axis : {'items', 'major', 'minor}, default 1/'major' Returns ------- y : ndim(self)-1 Notes ----- xs is only for getting, not setting values. MultiIndex Slicers is a generic way to get/set values on any level or levels and is a superset of xs functionality, see :ref:`MultiIndex Slicers ` iRhRE(RRRR#RXt_construct_return_typet is_mixed_typet _set_is_copy(R>RRht axis_numberRRRE((s0lib/python2.7/site-packages/pandas/core/panel.pyR#Is   cC s|j|}||}t|to4t|tsit|rii||j|6}|j|Sn|dkr|jj|}|j ||S|j |jj |d|dt dt }|j |S(sr Parameters ---------- i : int, slice, or sequence of integers axis : int iRhRER(RRSRRRRRuRtigetRRR#RR&(R>RyRhRRtindexerRcR((s0lib/python2.7/site-packages/pandas/core/panel.pyt_ixsms    $RcC s2ddlm}|j|}|||d|S(s3 Group data on given axis, returning GroupBy object. Parameters ---------- function : callable Mapping function for chosen access axis : {'major', 'minor', 'items'}, default 'major' Returns ------- grouped : PanelGroupBy i(t PanelGroupByRh(tpandas.core.groupbyR-R(R>RRhR-((s0lib/python2.7/site-packages/pandas/core/panel.pytgroupbysc  sj\}|rBtjjdd}|jntddfdjD}dfd}tfd}t j t r|j d\}}} n|j \}}} t j t r|j dd\} } } n|j d t \} } } || } || }| | }t d | d |d |d t }t|d|djS(s Transform wide format into long (stacked) format as DataFrame whose columns are the Panel's items and whose index is a MultiIndex formed of the Panel's major and minor axes. Parameters ---------- filter_observations : boolean, default True Drop (major, minor) pairs without a complete set of observations across all the items Returns ------- y : DataFrame Rhic s*i|] }|jj|qS((Rctravel(RdR(tselectorR>(s0lib/python2.7/site-packages/pandas/core/panel.pys s ic sg|jD]}tj||^q }g|D]$}|j|djdd^q/}g|D]}|^q`}|j}|j}|||fS(NitordertF(tcodesR,R/RR0tlevelsR9(tidxtn_repeatt n_shuffleR`R4R5R9(R1(s0lib/python2.7/site-packages/pandas/core/panel.pytconstruct_multi_partss(.  c s|g}|r@tjjg}|jp:d}nPtjjdtjdt}|jg}|jpd}|g}|||fS(NRiRFR(R,tarangeR/RRtzerosRR0(R6RR5R4R9(tKtNR1(s0lib/python2.7/site-packages/pandas/core/panel.pytconstruct_index_partss . R7R8RR5R4R9tverify_integrityRRN(RRRcRR0RR:RBRRSRCRRDRXR(R>tfilter_observationst_RRAR9R>t major_codest major_levelst major_namest minor_codest minor_levelst minor_namesR5R4R9R((R<R=R1R>s0lib/python2.7/site-packages/pandas/core/panel.pytto_frames2   $    c sr.ttj r.fd}n}t|ttfrnt|dkrn|j|d|S|j|}t|tjryHtjddtj ||j }WdQX|j |d|SWqt k rqXn|j |d|S(s Applies function along axis (or axes) of the Panel. Parameters ---------- func : function Function to apply to each combination of 'other' axes e.g. if axis = 'items', the combination of major_axis/minor_axis will each be passed as a Series; if axis = ('items', 'major'), DataFrames of items & major axis will be passed axis : {'items', 'minor', 'major'}, or {0, 1, 2}, or a tuple with two axes Additional keyword arguments will be passed as keywords to the function Returns ------- result : Panel, DataFrame, or Series Examples -------- Returns a Panel with the square root of each element >>> p = pd.Panel(np.random.rand(4, 3, 2)) # doctest: +SKIP >>> p.apply(np.sqrt) Equivalent to p.sum(1), returning a DataFrame >>> p.apply(lambda x: x.sum(), axis=1) # doctest: +SKIP Equivalent to previous: >>> p.apply(lambda x: x.sum(), axis='major') # doctest: +SKIP Return the shapes of each DataFrame over axis 2 (i.e the shapes of items x major), as a Series >>> p.apply(lambda x: x.shape, axis=(0,1)) # doctest: +SKIP c s |S(N((R`(RR](s0lib/python2.7/site-packages/pandas/core/panel.pytsiRhRRN(RSR,tufuncRRQR+t _apply_2dRRRRcRtAttributeErrort _apply_1d(R>RRhR]tfR((RR]s0lib/python2.7/site-packages/pandas/core/panel.pytapplys)' c s|j|}|j}|j}|j|}dg|d}tj|d}tt|} | j|t dd||<|j | |g| D]} |j| ^q} tj |j j| } t| } g}xttj| D]tfd| D}|j | |t|t|d|d|}||}|j||dcd7@sRRii(RRRcRR,R;RQRtremoveRR:tputtarrayRttakeRR RRRwR+R?RRStvstackRRtargsortt transposeRR&(R>RRhRRRct slice_axist slice_indexerR+tindlistRtplanesRtpointstresultstptstobjRRtrtarrttranp((Rys0lib/python2.7/site-packages/pandas/core/panel.pyRM(sN   " "  '  %+ c C s|j}g|D]}|j|^q}tt|}x|D]}|j|qDW|d}tddg|}|j|}g}xVt|D]H\} } | ||<|j t |} || } |j | | fqW|j t |S(sL Handle 2-d slices, equiv to iterating over the other axis. iN(RRRQRRRRR:RRntilocRRwR&RV( R>RRhRR^t indexer_axistslicerRR^RytetslicedR`((s0lib/python2.7/site-packages/pandas/core/panel.pyRKcs "    c  s |rtdj|n|dkrE|dkrEdd}n-|j|}|j|}|j|fd} tjdd| |j} WdQX|dkr|dkrtj| S|j |} | j dkr||j kr| j } n|j | | S(Ns*Panel.{0} does not implement numeric_only.tboolc s|ddS(NRhtskipna((R`(R)tkwdstopRj(s0lib/python2.7/site-packages/pandas/core/panel.pyRIsRRi(RRPR:RRR,RRctbool_RRRRR&( R>RlRRhRjt numeric_onlyt filter_typeRkRRNRR!((R)RkRlRjs0lib/python2.7/site-packages/pandas/core/panel.pyt_reduce}s$    cC s/t|dd}|dkrqt|trqtttj|ddd}|dkrn|d7}qnqqn|dkrt|S|j|kr|dkr|j |S|j ||j S|j|dkr |dkr|j |S|j ||j ||St djd|d|dS(s= Return the type for the ndim of the result. Riis@invalid _construct_return_type [self->{self}] [result->{result}]R>RN(RR:RSRVRQRjt itervaluesRRR?RRmRpR\RP(R>RR!R((s0lib/python2.7/site-packages/pandas/core/panel.pyR&s& %        cC sX|j|}|j|}|jdkrH||jkrH|j}n|j||S(Ni(RRRRRR&(R>RRhR!((s0lib/python2.7/site-packages/pandas/core/panel.pyRs  cO s|jdd}|jdd}|dk r[|jdrNtdn||dRR]RRR!R((s0lib/python2.7/site-packages/pandas/core/panel.pyRus&       cK sp|dk r|n|jdd}|dk r6|n|jdd}tt|jd|d|d||S(NRRRBRCRD(R:RNRR#trename(R>RBRCRDR]((s0lib/python2.7/site-packages/pandas/core/panel.pyRvs R cC s=tt|jd|d|d|d|d|d|d|S(NRrRhRRREtlimitt fill_value(RR#R (R>RrRhRRRERwRx((s0lib/python2.7/site-packages/pandas/core/panel.pyR s  cO st|dkrCt|ddrCt|d rC|d}n|}d|krj|rjtdn|s|jdd}ntt|j||S(Niit__iter__R!s;transpose() got multiple values for keyword argument 'axes'((R+thasattrRRORNRR#RX(R>RR]R!((s0lib/python2.7/site-packages/pandas/core/panel.pyRXs% cK s:tt|jd|d|d|d|d|d||S(NRRRhRRwtdowncast(RR#tfillna(R>RRRhRRwR{R]((s0lib/python2.7/site-packages/pandas/core/panel.pyR| s$ cC sO|j|}|j}tj|}|jd|dd}|j||S(s Return number of observations over requested axis. Parameters ---------- axis : {'items', 'major', 'minor'} or {0, 1, 2} Returns ------- count : DataFrame RhRFtint64(RRcR,tisfiniteR R(R>RhRyRcRR((s0lib/python2.7/site-packages/pandas/core/panel.pytcounts  cC s8|r|j||d|Stt|j|d|S(sK Shift index by desired number of periods with an optional time freq. The shifted data will not include the dropped periods and the shifted axis will be smaller than the original. This is different from the behavior of DataFrame.shift() Parameters ---------- periods : int Number of periods to move, can be positive or negative freq : DateOffset, timedelta, or time rule string, optional axis : {'items', 'major', 'minor'} or {0, 1, 2} Returns ------- shifted : Panel Rh(ttshiftRR#t slice_shift(R>tperiodstfreqRh((s0lib/python2.7/site-packages/pandas/core/panel.pytshift%scC stt|j|||S(N(RR#R(R>RRRh((s0lib/python2.7/site-packages/pandas/core/panel.pyR=stleftc C s%ddlm}t|tr|j||\}}|jd|d|}|jd|d|}|jj|j||} |j| S|s|rt dn|dkrd}|j |j g} n!|dkrt d nd} ||gt |d d d |d | dtSdS(s4 Join items with other Panel either on major and minor axes column. Parameters ---------- other : Panel or list of Panels Index should be similar to one of the columns in this one how : {'left', 'right', 'outer', 'inner'} How to handle indexes of the two objects. Default: 'left' for joining on index, None otherwise * left: use calling frame's index * right: use input frame's index * outer: form union of indexes * inner: use intersection of indexes lsuffix : string Suffix to use from left frame's overlapping columns rsuffix : string Suffix to use from right frame's overlapping columns Returns ------- joined : Panel i(tconcatRRs3Suffixes not supported when passing multiple panelsRtoutertrights-Right join not supported with multiple panelsRhiRt join_axesR?N(tpandas.core.reshape.concatRRSR#t_get_join_indexRuRtmergeR?R\RCRDR:RQR( R>RRtlsuffixtrsuffixRt join_majort join_minorR!t merged_dataR((s0lib/python2.7/site-packages/pandas/core/panel.pyR@s"    "t old_arg_nametraise_conflictt new_arg_nameterrorstmappingRtraisec C st||js$|j|}n|j}|j}|ji||6}x;|D]3}||j||d|d|d|d|qSWdS(sx Modify Panel in place using non-NA values from other Panel. May also use object coercible to Panel. Will align on items. Parameters ---------- other : Panel, or object coercible to Panel The object from which the caller will be udpated. join : {'left', 'right', 'outer', 'inner'}, default 'left' How individual DataFrames are joined. overwrite : bool, default True If True then overwrite values for common keys in the calling Panel. filter_func : callable(1d-array) -> 1d-array, default None Can choose to replace values other than NA. Return True for values that should be updated. errors : {'raise', 'ignore'}, default 'ignore' If 'raise', will raise an error if a DataFrame and other both. .. versionchanged :: 0.24.0 Changed from `raise_conflict=False|True` to `errors='ignore'|'raise'`. See Also -------- DataFrame.update : Similar method for DataFrames. dict.update : Similar method for dictionaries. Rt overwritet filter_funcRN(RSR?RRRuRs( R>RRRRRRt axis_valuesR((s0lib/python2.7/site-packages/pandas/core/panel.pyRsqs!    cC s|dkr"|j|j}}n|dkrD|j|j}}nr|dkr}|jj|j}|jj|j}n9|dkr|jj|j}|jj|j}n||fS(NRRtinnerR(RCRDt intersectionR (R>RRRR((s0lib/python2.7/site-packages/pandas/core/panel.pyRs    cK s8gt|D]'\}}|j||d||^q S(s4 Return a list of the axis indices. Rh(RnRo(R>RAR!R]RyR^((s0lib/python2.7/site-packages/pandas/core/panel.pyt _extract_axessc s1fdtjjt||DS(s= Return the slice dictionary for these axes. c s&i|]\}}|j|qS((t_AXIS_SLICEMAP(RdRyR^(R>(s0lib/python2.7/site-packages/pandas/core/panel.pys s (RRMRR+(R>R!((R>s0lib/python2.7/site-packages/pandas/core/panel.pyRps cC st|tjsZtj|}t|jjtjrotj |dt dt }qon|ro|j }n|j |jkrtdj|j|j n|S(NRFREscThe number of dimensions required is {0}, but the number of dimensions of the ndarray given was {1}(RSR,RYRt issubclassRFR=RjRRTtobjectRRERRR\RP(R>RcRE((s0lib/python2.7/site-packages/pandas/core/panel.pyRs! c  s>t}t|tr$t}nt}xLtj|D];\}}t|trnj|||s Rc s$i|]}|j|qS((R(RdR^(t axes_dictR>(s0lib/python2.7/site-packages/pandas/core/panel.pys s RERARFN( RVRSRRjRkRmRMRRRXR:Ru( R>tframesRRFRt adj_framesReRfR!t reindex_dictRR((RR>s0lib/python2.7/site-packages/pandas/core/panel.pyRs(        c C sd}t|dkr'tg}nt|dkrBg}nt}t}xX|jD]J}t||jr|t}q[|dk r[t}|j|j |q[q[W|rt |jd|d|dd}n|ret t |} t| dkrt djd|n|rI| dt|krbtdqbqettj| d}n|dkrtg}nt|S( NiRhRtsortis&ndarrays must match shape on axis {ax}Rs#Length of data and index must match(R:R+RRXRcRSRmRRwRRRQR R\RPtAssertionErrorR,R:R( R>RARhRRt raw_lengthsthave_raw_arrayst have_framesRftlengths((s0lib/python2.7/site-packages/pandas/core/panel.pyRos8     cO stt|j||dS(s NOT IMPLEMENTED: do not call this method, as sorting values is not supported for Panel objects and will raise an error. N(RR#t sort_values(R>RR]((s0lib/python2.7/site-packages/pandas/core/panel.pyR#sN(Tt__name__t __module__t__doc__tpropertyR?RRmR:RXRKRJRWRxt classmethodRRRRZRRRRtfromDictRRRRRRRRRRRRRRRRRRRRRR$R%R#t_xsR,R/RRHRORMRKRpR&RRt_shared_doc_kwargsRRRuRvRR,RtR RXR|RRRRR RsRt staticmethodRRpRRRoR(((s0lib/python2.7/site-packages/pandas/core/panel.pyR#ls  ) ) *      3      #         )      "   L @ ;    $        1 ) +*RBRCRDt info_axisit stat_axisitaliasesRRtslicersRRtdocs(LRt __future__RRGtnumpyR,t pandas.compatRjRRRRRtpandas.compat.numpyRRtpandas.util._decoratorsRRR tpandas.util._validatorsR tpandas.core.dtypes.castR R R tpandas.core.dtypes.commonRRRRtpandas.core.dtypes.missingRtpandas.core.commontcoretcommonRTtpandas.core.frameRtpandas.core.genericRRtpandas.core.indexRRRRtpandas.core.indexes.basetindexestbaseRtpandas.core.indexingRtpandas.core.internalsRRRtpandas.core.opstopstpandas.core.reshape.utilRtpandas.core.seriesRtpandas.io.formats.printingR RVRRPR6R:R<R#t _setup_axestadd_special_arithmetic_methodstadd_flex_arithmetic_methodst_add_numeric_operations(((s0lib/python2.7/site-packages/pandas/core/panel.pyts\  (""   ,