From 8beb4cea15602c081e3f948ceee181730d74a296 Mon Sep 17 00:00:00 2001 From: Ray Bell Date: Mon, 15 Apr 2024 07:36:14 -0400 Subject: [PATCH] rm-dup-doc in frame.py (#15530) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Extended view of the diff ![Screenshot 2024-04-13 at 11 02 32 PM](https://github.com/rapidsai/cudf/assets/17162724/e6cd36b1-73b3-4910-b186-eb0906ea1fa6) Found a couple of others whilst looking into https://github.com/rapidsai/cudf/issues/15487 Authors: - Ray Bell (https://github.com/raybellwaves) Approvers: - Bradley Dice (https://github.com/bdice) - GALI PREM SAGAR (https://github.com/galipremsagar) URL: https://github.com/rapidsai/cudf/pull/15530 --- python/cudf/cudf/core/frame.py | 12 ------------ python/cudf/cudf/core/indexed_frame.py | 5 ----- 2 files changed, 17 deletions(-) diff --git a/python/cudf/cudf/core/frame.py b/python/cudf/cudf/core/frame.py index 809bdb4e6d1..01842b5f0a9 100644 --- a/python/cudf/cudf/core/frame.py +++ b/python/cudf/cudf/core/frame.py @@ -1808,12 +1808,6 @@ def all(self, axis=0, skipna=True, **kwargs): b False dtype: bool - .. pandas-compat:: - **DataFrame.all, Series.all** - - Parameters currently not supported are `axis`, `bool_only`, - `level`. - .. pandas-compat:: **DataFrame.all, Series.all** @@ -1867,12 +1861,6 @@ def any(self, axis=0, skipna=True, **kwargs): b True dtype: bool - .. pandas-compat:: - **DataFrame.any, Series.any** - - Parameters currently not supported are `axis`, `bool_only`, - `level`. - .. pandas-compat:: **DataFrame.any, Series.any** diff --git a/python/cudf/cudf/core/indexed_frame.py b/python/cudf/cudf/core/indexed_frame.py index ca9d5590044..c412b7a7e47 100644 --- a/python/cudf/cudf/core/indexed_frame.py +++ b/python/cudf/cudf/core/indexed_frame.py @@ -1530,11 +1530,6 @@ def median( >>> ser.median() 17.0 - .. pandas-compat:: - **DataFrame.median, Series.median** - - Parameters currently not supported are `level` and `numeric_only`. - .. pandas-compat:: **DataFrame.median, Series.median**