Deprecations and FutureWarnings Fixes

setup.py

@@ -30,7 +30,7 @@ def about_package(init_posixpath: pathlib.Path) -> dict:
 # Dependencies for the package itself
 DEPENDENCIES = [
     "numpy>=1.19.0",
-    "pandas>=1.0",
+    "pandas>=2.1",
 ]
 
 # Extra dependencies
@@ -53,7 +53,7 @@ def about_package(init_posixpath: pathlib.Path) -> dict:
     url=ABOUT_TFS["__url__"],
     packages=setuptools.find_packages(include=(MODULE_NAME,)),
     include_package_data=True,
-    python_requires=">=3.7",
+    python_requires=">=3.9",
     license=ABOUT_TFS["__license__"],
     classifiers=[
         "Development Status :: 5 - Production/Stable",

tfs/__init__.py

@@ -10,7 +10,7 @@
 __title__ = "tfs-pandas"
 __description__ = "Read and write tfs files."
 __url__ = "https://github.com/pylhc/tfs"
-__version__ = "3.7.2"
+__version__ = "3.7.3"
 __author__ = "pylhc"
 __author_email__ = "pylhc@github.com"
 __license__ = "MIT"

tfs/frame.py

@@ -263,8 +263,10 @@ def _element_is_list(element):
         raise TfsFormatError("Lists or tuple elements are not accepted in a TfsDataFrame")
 
     # -----  Check that no element is non-physical value in the dataframe ----- #
-    with pd.option_context('mode.use_inf_as_na', True):
-        inf_or_nan_bool_df = data_frame.isna()
+    # The pd.option_context('mode.use_inf_as_na', True) context manager raises FutureWarning
+    # and will likely disappear in pandas 3.0 so we replaced inf values by NaNs before calling
+    # .isna(). Since .replace() returns a copy we're not modifying the original dataframe.
+    inf_or_nan_bool_df = data_frame.replace([np.inf, -np.inf], np.nan).isna()  # 
 
     if inf_or_nan_bool_df.to_numpy().any():
         LOGGER.warning(

tfs/writer.py

@@ -236,7 +236,7 @@ def quote_strings(s):
                 return f'"{s}"'
         return s
 
-    data_frame = data_frame.applymap(quote_strings)
+    data_frame = data_frame.map(quote_strings)
     return data_frame