Raise minimum pandas version to 1.4.0

sebp · Aug 16, 2024 · cdca9e2 · cdca9e2
1 parent 9b292e6
commit cdca9e2
Show file tree

Hide file tree

Showing 4 changed files with 3 additions and 13 deletions.
diff --git a/README.rst b/README.rst
@@ -38,7 +38,7 @@ Requirements
 - numexpr
 - numpy
 - osqp
-- pandas 1.0.5 or later
+- pandas 1.4.0 or later
 - scikit-learn 1.4 or 1.5
 - scipy
 - C/C++ compiler

diff --git a/doc/install.rst b/doc/install.rst
@@ -99,7 +99,7 @@ The current minimum dependencies to run scikit-survival are:
 - numexpr
 - numpy
 - osqp
-- pandas 1.0.5 or later
+- pandas 1.4.0 or later
 - scikit-learn 1.4 or 1.5
 - scipy
 - C/C++ compiler
diff --git a/pyproject.toml b/pyproject.toml
@@ -48,7 +48,7 @@ dependencies = [
     "numexpr",
     "numpy",
     "osqp !=0.6.0,!=0.6.1",
-    "pandas >=1.0.5",
+    "pandas >=1.4.0",
     "scipy >=1.3.2",
     "scikit-learn >=1.4.0,<1.6",
 ]

diff --git a/sksurv/column.py b/sksurv/column.py
@@ -64,18 +64,8 @@ def standardize(table, with_std=True):
         Table with numeric columns normalized.
         Categorical columns in the input table remain unchanged.
     """
-    if isinstance(table, pd.DataFrame):
-        cat_columns = table.select_dtypes(include=["category"]).columns
-    else:
-        cat_columns = []
-
     new_frame = _apply_along_column(table, standardize_column, with_std=with_std)
 
-    # work around for apply converting category dtype to object
-    # https://github.com/pydata/pandas/issues/9573
-    for col in cat_columns:
-        new_frame[col] = table[col].copy()
-
     return new_frame