From 6e5145a65acf5ed3647a32da5c409b1f12235e31 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Yasunori=20Morishima=EF=BC=88=E7=9B=9B=E5=B3=B6=E5=BA=B7?= =?UTF-8?q?=E5=BE=B3=EF=BC=89?= Date: Wed, 4 Feb 2026 19:48:47 +0900 Subject: [PATCH 1/2] fix: replace deprecated errors='ignore' in pd.to_numeric with try/except --- pybaseball/datahelpers/postprocessing.py | 11 ++++++----- 1 file changed, 6 insertions(+), 5 deletions(-) diff --git a/pybaseball/datahelpers/postprocessing.py b/pybaseball/datahelpers/postprocessing.py index 5fb4bae9..88ac7458 100644 --- a/pybaseball/datahelpers/postprocessing.py +++ b/pybaseball/datahelpers/postprocessing.py @@ -30,11 +30,12 @@ def try_parse_dataframe( if parse_numerics: data_copy = coalesce_nulls(data_copy, null_replacement) - data_copy = data_copy.apply( - pd.to_numeric, - errors='ignore', - downcast='signed' - ).convert_dtypes(convert_string=False) + for col in data_copy.columns: + try: + data_copy[col] = pd.to_numeric(data_copy[col], downcast='signed') + except (ValueError, TypeError): + pass + data_copy = data_copy.convert_dtypes(convert_string=False) string_columns = [ dtype_tuple[0] for dtype_tuple in data_copy.dtypes.items() if str(dtype_tuple[1]) in ["object", "string"] From 8f831734d15536133744357f22421fdd90a564b1 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Yasunori=20Morishima=EF=BC=88=E7=9B=9B=E5=B3=B6=E5=BA=B7?= =?UTF-8?q?=E5=BE=B3=EF=BC=89?= Date: Wed, 4 Feb 2026 19:49:09 +0900 Subject: [PATCH 2/2] fix: replace deprecated errors='ignore' in pd.to_datetime with try/except --- tests/pybaseball/test_statcast.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tests/pybaseball/test_statcast.py b/tests/pybaseball/test_statcast.py index 91413fb5..c4bd913b 100644 --- a/tests/pybaseball/test_statcast.py +++ b/tests/pybaseball/test_statcast.py @@ -18,7 +18,10 @@ def _single_game_raw(get_data_file_contents: Callable[[str], str]) -> str: @pytest.fixture(name="single_game") def _single_game(get_data_file_dataframe: GetDataFrameCallable) -> pd.DataFrame: data = get_data_file_dataframe('single_game_request.csv', parse_dates=[2]) - data[data.columns[2]].apply(pd.to_datetime, errors='ignore', format=DATE_FORMAT) + try: + data[data.columns[2]] = pd.to_datetime(data[data.columns[2]], format=DATE_FORMAT) + except (ValueError, TypeError): + pass return data