Fix PLC0207 and PLW0108 in ruff 0.15.0 (#4386)

* Fix PLC0207: missing-maxsplit-arg

Xref https://docs.astral.sh/ruff/rules/missing-maxsplit-arg/

* Fix PLW0108: unnecessary-lambda

Xref https://docs.astral.sh/ruff/rules/unnecessary-lambda/ and https://stackoverflow.com/questions/19377969/combine-two-columns-of-text-in-pandas-dataframe/19378497#19378497

Author: weiji14

pygmt/_show_versions.py

@@ -18,7 +18,9 @@
 
 # Get semantic version through setuptools-scm
 __version__ = f"v{version('pygmt')}"  # e.g. v0.1.2.dev3+g0ab3cd78
-__commit__ = __version__.split("+g")[-1] if "+g" in __version__ else ""  # 0ab3cd78
+__commit__ = (  # 0ab3cd78
+    __version__.rsplit(sep="+g", maxsplit=1)[-1] if "+g" in __version__ else ""
+)
 
 
 def _get_clib_info() -> dict[str, str]:

pygmt/tests/test_datatypes_dataset.py

@@ -33,7 +33,7 @@ def dataframe_from_pandas(filepath_or_buffer, sep=r"\s+", comment="#", header=No
     dtype = "object" if Version(pd.__version__) < Version("3.0.0.dev0") else "str"
     string_columns = df.select_dtypes(include=[dtype]).columns
     if len(string_columns) > 1:
-        df[string_columns[0]] = df[string_columns].apply(lambda x: " ".join(x), axis=1)
+        df[string_columns[0]] = df[string_columns].agg(func=" ".join, axis=1)
         df = df.drop(string_columns[1:], axis=1)
     # Convert 'object' to 'string' type
     df = df.convert_dtypes(