WhhddlmZddlmZmZmZmZerddlmZeddZ Gddee Z y ) ) annotations) TYPE_CHECKINGCallableGenericTypeVar)ExprExprTr)boundcDeZdZd dZd dZd dZd dZd dZd dZd dZ y)ExprNameNamespacec||_yN)_expr)selfexprs L/var/www/html/jupyter_env/lib/python3.12/site-packages/narwhals/expr_name.py__init__zExprNameNamespace.__init__ s  c@jjfdS)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'] cjjj|jjSr)r_to_compliant_exprnamekeepplxrs rz(ExprNameNamespace.keep..s% 55c:??DDFrr_with_elementwisers`rrzExprNameNamespace.keepszz++ F  rcDjjfdS)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'] cljj|jjSr)rrrmap)rfunctionrs rrz'ExprNameNamespace.map..4s' 55c:??CCHMrr)rr#s``rr"zExprNameNamespace.map!s$zz++ M  rcDjjfdS)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'] cljj|jjSr)rrrprefix)rr&rs rrz*ExprNameNamespace.prefix..I' 55c:??FFvNrr)rr&s``rr&zExprNameNamespace.prefix7"zz++ N  rcDjjfdS)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'] cljj|jjSr)rrrsuffix)rrr+s rrz*ExprNameNamespace.suffix..^r'rr)rr+s``rr+zExprNameNamespace.suffixLr(rc@jjfdS)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'] cjjj|jjSr)rrr to_lowercasers rrz0ExprNameNamespace.to_lowercase..p% 55c:??LLNrrrs`rr.zExprNameNamespace.to_lowercaseazz++ N  rc@jjfdS)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'] cjjj|jjSr)rrr to_uppercasers rrz0ExprNameNamespace.to_uppercase..r/rrrs`rr3zExprNameNamespace.to_uppercasesr0rN)rr returnNone)r4r )r#zCallable[[str], str]r4r )r&strr4r )r+r6r4r ) __name__ __module__ __qualname__rrr"r&r+r.r3rrr r s% $ , * * $ rr N) __future__rtypingrrrr narwhals.exprrr r r:rrr>s2"<<"v&x x r