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Examples -------- >>> df = pd.DataFrame({'x': [10, 20, 30, 40, 50]}, index=[1, 2, 2, 3, 4]) >>> boundary_slice(df, 2, None) x 2 20 2 30 3 40 4 50 >>> boundary_slice(df, 1, 3) x 1 10 2 20 2 30 3 40 >>> boundary_slice(df, 1, 3, right_boundary=False) x 1 10 2 20 2 30 Empty input DataFrames are returned >>> df_empty = pd.DataFrame() >>> boundary_slice(df_empty, 1, 3) Empty DataFrame Columns: [] Index: [] R tlefttrightN(temptytindext is_monotonicR tgetattrtget_slice_boundR( R tstarttstoptright_boundaryt left_boundarytkindtresultt right_indext left_index((s5lib/python2.7/site-packages/dask/dataframe/methods.pytboundary_slice/s(!   cC`stj|ƒjƒS(N(tpdtnotnulltsum(tx((s5lib/python2.7/site-packages/dask/dataframe/methods.pyt index_countnscC`sWy2tjdtƒtjdƒ||SWdQXWntk rRtjtjƒSXdS(Ntrecordtalways(twarningstcatch_warningstTruet simplefiltertZeroDivisionErrortnptfloat64tnan(tstn((s5lib/python2.7/site-packages/dask/dataframe/methods.pytmean_aggregatess   cC`sŠyetjdtƒ(tjdƒ||||d}WdQX|dkr`||||}n|SWntk r…tjtjƒSXdS(NR)R*ii(R+R,R-R.R/R0R1R2(tx2R'R4tddofR ((s5lib/python2.7/site-packages/dask/dataframe/methods.pyt var_aggregate|s   c C`sát|ƒdkst‚|\}}}}}}t|tjƒrKtjntj}|||||gdddddgƒ}g|jjƒD]} dj| dƒ^qŽ|_||gdd gƒ} tj ||| gt S( NiRtcounttmeantstdtmins{0:g}%idtmax( tlentAssertionErrort isinstanceR$tSeriest DataFrameRttolisttformattconcatt concat_kwargs( tvaluesR9R:R;R<tqR=ttyptpart1tltpart3((s5lib/python2.7/site-packages/dask/dataframe/methods.pytdescribe_aggregateˆs$2cC`s]t|ƒst|ƒrE|j||k|jƒB|d|jdƒS||krU|S|SdS(Ntaxisi(RRtwheretisnulltndim(R'ty((s5lib/python2.7/site-packages/dask/dataframe/methods.pytcummin_aggregate“s-cC`s]t|ƒst|ƒrE|j||k|jƒB|d|jdƒS||krU|S|SdS(NRNi(RRRORPRQ(R'RR((s5lib/python2.7/site-packages/dask/dataframe/methods.pytcummax_aggregatešs-cG`s"ttd|ƒƒ}|j|S(Ni(tdictRtassign(R tpairstkwargs((s5lib/python2.7/site-packages/dask/dataframe/methods.pyRV¡scC`s4|jƒ}t|ƒs0tj|d|ƒ}n|S(Ntname(tuniqueRR$RA(R't series_nametout((s5lib/python2.7/site-packages/dask/dataframe/methods.pyRZ¦s  cC`s|jddƒjƒS(Ntleveli(tgroupbyR&(R'((s5lib/python2.7/site-packages/dask/dataframe/methods.pytvalue_counts_combine¯scC`s"|jddƒjƒjdtƒS(NR]it ascending(R^R&t sort_valuestFalse(R'((s5lib/python2.7/site-packages/dask/dataframe/methods.pytvalue_counts_aggregate³scC`s|jS(N(tnbytes(R'((s5lib/python2.7/site-packages/dask/dataframe/methods.pyRd·scC`s|jS(N(tsize(R'((s5lib/python2.7/site-packages/dask/dataframe/methods.pyRe»scC`s|jS(N(RG(R ((s5lib/python2.7/site-packages/dask/dataframe/methods.pyRG¿scC`sDtjj|ƒ}t|ƒdkr@|jd|d|d|ƒS|S(Nit random_statetfractreplace(R0trandomt RandomStateR>tsample(R tstateRgRhtrs((s5lib/python2.7/site-packages/dask/dataframe/methods.pyRkÃscC`s.|j|ddƒ}|jj|ƒ|_|S(NRNi(tdroptcolumnstastype(R Rotdtype((s5lib/python2.7/site-packages/dask/dataframe/methods.pyt drop_columnsÈscC`sL|jd|ƒ}|rH|jƒjjddƒjƒrHtdƒ‚n|S(NtmethodRNis‡All NaN partition encountered in `fillna`. Try using ``df.repartition`` to increase the partition size, or specify `limit` in `fillna`.(tfillnaRPRGtalltanyt ValueError(R RstcheckR\((s5lib/python2.7/site-packages/dask/dataframe/methods.pyt fillna_checkÎs'cC`s|jddƒjƒS(NR]i(R^R&(R ((s5lib/python2.7/site-packages/dask/dataframe/methods.pyt pivot_aggÜsc C`s%tj|d|d|d|ddƒS(NRRoRGtaggfuncR&(R$t pivot_table(R RRoRG((s5lib/python2.7/site-packages/dask/dataframe/methods.pyt pivot_sumàsc C`s1tj|d|d|d|ddƒjtjƒS(NRRoRGR{R9(R$R|RpR0R1(R RRoRG((s5lib/python2.7/site-packages/dask/dataframe/methods.pyt pivot_countåsREtouterc C`sYt|ƒdkr|dStjt|dƒƒ}||d|d|d|d|ƒSdS(sãConcatenate, handling some edge cases: - Unions categoricals between partitions - Ignores empty partitions Parameters ---------- dfs : list of DataFrame, Series, or Index axis : int or str, optional join : str, optional uniform : bool, optional Whether to treat ``dfs[0]`` as representative of ``dfs[1:]``. Set to True if all arguments have the same columns and dtypes (but not necessarily categories). 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