§ }ÀûiÎãóŒ—ddlmZddlmZmZmZmZddlmZm Z erddl m Z edd¬¦«Z Gd„d ee ¦«Z d S) é)Ú annotations)Ú TYPE_CHECKINGÚCallableÚGenericÚTypeVar)ÚExprKindÚExprNode)ÚExprÚExprTr )ÚboundcóF—eZdZdd„Zdd„Zdd „Zdd „Zdd„Zdd„Zdd„Z dS)ÚExprNameNamespaceÚexprr ÚreturnÚNonecó—||_dS)N)Ú_expr)Úselfrs úF/home/jrussi/.local/lib/python3.11/site-packages/narwhals/expr_name.pyÚ__init__zExprNameNamespace.__init__s €ØˆŒ ˆ ˆ ócóf—|j ttjd¦«¦«S)aöKeep 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.keep©rÚ _append_noder rÚ ELEMENTWISE©rs rÚkeepzExprNameNamespace.keeps'€ðŒz×&Ò&¥xµÔ0DÀkÑ'RÔ'RÑSÔSÐSrÚfunctionúCallable[[str], str]cój—|j ttjd|¬¦«¦«S)a¸Rename 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)rr)rrs rÚmapzExprNameNamespace.map!s3€ð$Œz×&Ò&Ý •XÔ)¨:ÀÐ IÑ IÔ Iñ ô ð rÚprefixÚstrcój—|j ttjd|¬¦«¦«S)ajAdd 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)r"r)rr"s rr"zExprNameNamespace.prefix7ó3€ð"Œz×&Ò&Ý •XÔ)¨=ÀÐ HÑ HÔ Hñ ô ð rÚsuffixcój—|j ttjd|¬¦«¦«S)amAdd 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)r&r)rr&s rr&zExprNameNamespace.suffixLr%rcóf—|j ttjd¦«¦«S)aèMake 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 rÚ to_lowercasezExprNameNamespace.to_lowercaseaó/€ðŒz×&Ò&Ý •XÔ)Ð+>Ñ ?Ô ?ñ ô ð rcóf—|j ttjd¦«¦«S)aèMake 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 rÚ to_uppercasezExprNameNamespace.to_uppercasesr*rN)rr rr)rr )rrrr )r"r#rr )r&r#rr ) Ú__name__Ú __module__Ú __qualname__rrr!r"r&r)r,©rrrr s¤€€€€€ðððððTðTðTðTð  ð ð ð ð, ð ð ð ð* ð ð ð ð* ð ð ð ð$ ð ð ð ð ð rrN)Ú __future__rÚtypingrrrrÚnarwhals._expression_parsingrr Ú narwhals.exprr r rr0rrúr5sÃðØ"Ð"Ð"Ð"Ð"Ð"à<Ð<Ð<Ð<Ð<Ð<Ð<Ð<Ð<Ð<Ð<Ð<à;Ð;Ð;Ð;Ð;Ð;Ð;Ð;àð#Ø"Ð"Ð"Ð"Ð"Ð"àˆ˜vÐ&Ñ&Ô&€ðv ðv ðv ðv ðv ˜ œñv ôv ðv ðv ðv r