LpjSSKJr SSKJrJrJr SSKJrJr \(a SSK J r SSK J r \"SSS9r "S S \\ 5rg ) ) annotations) TYPE_CHECKINGGenericTypeVar)ExprKindExprNode)Callable)ExprExprTr )boundcZ\rSrSrS SjrS SjrS SjrSSjrSSjrS Sjr S Sjr S r g )ExprNameNamespacecXlg)N_expr)selfexprs N/var/www/html/pdf-tiff/venv/lib/python3.13/site-packages/narwhals/expr_name.py__init__ExprNameNamespace.__init__s chURR[[RS55$)aKeep the original root name of the expression. Notes: For Polars versions prior to 1.32, this will undo any previous renaming operations on the expression. Examples: >>> import pandas as pd >>> import narwhals as nw >>> df_native = pd.DataFrame({"foo": [1, 2], "BAR": [4, 5]}) >>> df = nw.from_native(df_native) >>> df.select(nw.col("foo").alias("alias_for_foo").name.keep()).columns ['foo'] z name.keepr _append_noderr ELEMENTWISErs rkeepExprNameNamespace.keeps&zz&&x0D0Dk'RSSrcfURR[[RSUS95$)aPRename the output of an expression by mapping a function over the root name. Arguments: function: Function that maps a root name to a new name. Notes: For Polars versions prior to 1.32, this will undo any previous renaming operations on the expression. Examples: >>> import pandas as pd >>> import narwhals as nw >>> df_native = pd.DataFrame({"foo": [1, 2], "BAR": [4, 5]}) >>> df = nw.from_native(df_native) >>> renaming_func = lambda s: s[::-1] # reverse column name >>> df.select(nw.col("foo", "BAR").name.map(renaming_func)).columns ['oof', 'RAB'] zname.map)functionr)rr!s rmapExprNameNamespace.map#s-$zz&& X)): I  rcfURR[[RSUS95$)a Add a prefix to the root column name of the expression. Arguments: prefix: Prefix to add to the root column name. Notes: For Polars versions prior to 1.32, this will undo any previous renaming operations on the expression. Examples: >>> import polars as pl >>> import narwhals as nw >>> df_native = pl.DataFrame({"foo": [1, 2], "BAR": [4, 5]}) >>> df = nw.from_native(df_native) >>> df.select(nw.col("foo", "BAR").name.prefix("with_prefix")).columns ['with_prefixfoo', 'with_prefixBAR'] z name.prefix)prefixr)rr%s rr%ExprNameNamespace.prefix9-"zz&& X))= H  rcfURR[[RSUS95$)a Add a suffix to the root column name of the expression. Arguments: suffix: Suffix to add to the root column name. Notes: For Polars versions prior to 1.32, this will undo any previous renaming operations on the expression. Examples: >>> import polars as pl >>> import narwhals as nw >>> df_native = pl.DataFrame({"foo": [1, 2], "BAR": [4, 5]}) >>> df = nw.from_native(df_native) >>> df.select(nw.col("foo", "BAR").name.suffix("_with_suffix")).columns ['foo_with_suffix', 'BAR_with_suffix'] z name.suffix)suffixr)rr)s rr)ExprNameNamespace.suffixNr'rchURR[[RS55$)aMake the root column name lowercase. Notes: For Polars versions prior to 1.32, this will undo any previous renaming operations on the expression. Examples: >>> import pyarrow as pa >>> import narwhals as nw >>> df_native = pa.table({"foo": [1, 2], "BAR": [4, 5]}) >>> df = nw.from_native(df_native) >>> df.select(nw.col("foo", "BAR").name.to_lowercase()).columns ['foo', 'bar'] zname.to_lowercaserrs r to_lowercaseExprNameNamespace.to_lowercasec,zz&& X))+> ?  rchURR[[RS55$)aMake the root column name uppercase. Notes: For Polars versions prior to 1.32, this will undo any previous renaming operations on the expression. Examples: >>> import pyarrow as pa >>> import narwhals as nw >>> df_native = pa.table({"foo": [1, 2], "BAR": [4, 5]}) >>> df = nw.from_native(df_native) >>> df.select(nw.col("foo", "BAR").name.to_uppercase()).columns ['FOO', 'BAR'] zname.to_uppercaserrs r to_uppercaseExprNameNamespace.to_uppercaseur.rrN)rr returnNone)r2r )r!zCallable[[str], str]r2r )r%strr2r )r)r4r2r ) __name__ __module__ __qualname____firstlineno__rrr"r%r)r,r0__static_attributes__rrrrs&T  , * * $ rrN) __future__rtypingrrrnarwhals._expression_parsingrrcollections.abcr narwhals.exprr r rr:rrr@s8"22;("v&v v r