IjF@SSKJr SSKJrJr SSKrSSKJr SSK J r SSK J r SSK Jr SSKJr SS KJr SSKrSS KJrJr SS KJr SS KJrJr SS KJrJrJrJ r SSK!J"r"J#r#J$r$ \(aSSKJ%r% \ RL\ RN\ RP\ RR\ RT\ RV\ RVS.r,\ RP\RZS4\ RV\R\\ 4\ RL\R^S4\ RN\R^S4\ RR\R^S4\ R`\R\S4\ RT\RbS40r2\R^S\RZS\R\S0r3"SS\5r4g)) annotations) TYPE_CHECKINGAnyN)using_python_scalars) infer_dtype)iNaT)NoBufferPresent)cache_readonly)BaseMaskedDtype) ArrowDtypeDatetimeTZDtype)is_string_dtype) PandasBufferPandasBufferPyarrow)Column ColumnBuffersColumnNullType DtypeKind) ArrowCTypes Endiannessdtype_to_arrow_c_fmt)Buffer)iufbUMmzThis column is non-nullablezThis column uses NaN as nullz!This column uses a sentinel valuec\rSrSrSrSSSjjrSSjr\SSj5r\ SSj5r SSjr \S5r \S 5r \ SS j5r\SS j5rSS jrSSSjjrSSjrSSjrSSjrSSjrSrg ) PandasColumnJa A column object, with only the methods and properties required by the interchange protocol defined. A column can contain one or more chunks. 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None if not a dictionary-style categorical. rzCdescribe_categorical only works on a column with categorical dtype!T) is_ordered is_dictionary categories) rCrrHr)r.catorderedr"r'r+r^r9s r3describe_categorical!PandasColumn.describe_categoricalsi$zz!} 5 55U  ))--//!&ryy1I1I'JK  r6c[URR[5(a[R nSnX4$[URR[ 5(acURRRRSR5Sc[RS4$[RS4$URSn[UupEXE4$![an[SUS35UeSnAff=f)NrrPz not yet supported)r&r.rCr r USE_BYTEMASKr array _pa_arraychunksbuffers NON_NULLABLE USE_BITMASK_NULL_DESCRIPTIONKeyErrorr,)r0column_null_dtype null_valuerSnullvalueerrs r3 describe_nullPandasColumn.describe_nulls diioo 7 7 . ; ; J$0 0 diiooz 2 2yy((//2::D#D!# q$/48"IINN54<8$:J:J9 JsBBcUR5SSS.nUR5US'UR5US'U$![a N"f=f![a U$f=f)a Return a dictionary containing the underlying buffers. 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