o Lh@sXddlmZddlmZmZmZmZerddlmZedddZ Gdddee Z d S) ) annotations) TYPE_CHECKINGCallableGenericTypeVar)ExprExprTr)boundc@sReZdZdddZdddZdd d ZdddZdddZdddZdddZ dS)ExprNameNamespaceexprrreturnNonecCs ||_dSN)_expr)selfr rS/var/www/html/Persson_Maskin/env/lib/python3.10/site-packages/narwhals/expr_name.py__init__ s zExprNameNamespace.__init__cjfddS)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'] cj|jSr)r_to_compliant_exprnamekeepplxrrrz(ExprNameNamespace.keep..r_with_elementwiserrrrr zExprNameNamespace.keepfunctionCallable[[str], str]cjfddS)aRename 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'] cj|jSr)rrrmaprr!rrrr4z'ExprNameNamespace.map..r)rr!rr&rr%!s zExprNameNamespace.mapprefixstrcr#)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'] cr$r)rrrr(rr(rrrrIr'z*ExprNameNamespace.prefix..r)rr(rr*rr(7 zExprNameNamespace.prefixsuffixcsjfddS)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'] csj|jSr)rrrr,rrr,rrr^r'z*ExprNameNamespace.suffix..rr-rr-rr,Lr+zExprNameNamespace.suffixcr)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'] crr)rrr to_lowercaserrrrrprz0ExprNameNamespace.to_lowercase..rrrrrr.ar zExprNameNamespace.to_lowercasecr)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'] crr)rrr to_uppercaserrrrrrz0ExprNameNamespace.to_uppercase..rrrrrr/sr zExprNameNamespace.to_uppercaseN)r rr r )r r)r!r"r r)r(r)r r)r,r)r r) __name__ __module__ __qualname__rrr%r(r,r.r/rrrrr s      r N) __future__rtypingrrrr narwhals.exprrrr rrrrs