Description: Skip tests when dependencies are missing

Author: Rebecca N. Palmer <rebecca_palmer@zoho.com>
Forwarded: no

--- a/pandas/tests/io/parser/conftest.py
+++ b/pandas/tests/io/parser/conftest.py
@@ -12,6 +12,7 @@ from pandas import (
     read_table,
 )
 import pandas._testing as tm
+import pandas.util._test_decorators as td
 
 
 class BaseParser:
@@ -118,7 +119,7 @@ _pyarrowParser = PyArrowParser
 
 _py_parsers_only = [_pythonParser]
 _c_parsers_only = [_cParserHighMemory, _cParserLowMemory]
-_pyarrow_parsers_only = [pytest.param(_pyarrowParser, marks=pytest.mark.single_cpu)]
+_pyarrow_parsers_only = [pytest.param(_pyarrowParser, marks=[pytest.mark.single_cpu, td.skip_if_no("pyarrow")])]
 
 _all_parsers = [*_c_parsers_only, *_py_parsers_only, *_pyarrow_parsers_only]
 
@@ -182,8 +183,8 @@ def _get_all_parser_float_precision_comb
             parser = parser.values[0]
         for precision in parser.float_precision_choices:
             # Re-wrap in pytest.param for pyarrow
-            mark = pytest.mark.single_cpu if parser.engine == "pyarrow" else ()
-            param = pytest.param((parser(), precision), marks=mark)
+            marks = [pytest.mark.single_cpu, td.skip_if_no("pyarrow")] if parser.engine == "pyarrow" else ()
+            param = pytest.param((parser(), precision), marks=marks)
             params.append(param)
             ids.append(f"{parser_id}-{precision}")
 
--- a/pandas/tests/io/formats/style/test_bar.py
+++ b/pandas/tests/io/formats/style/test_bar.py
@@ -347,6 +347,7 @@ def test_styler_bar_with_NA_values():
     assert expected_substring in html_output2
 
 
+@td.skip_if_no("pyarrow")
 def test_style_bar_with_pyarrow_NA_values():
     data = """name,age,test1,test2,teacher
         Adam,15,95.0,80,Ashby
--- a/pandas/tests/series/test_api.py
+++ b/pandas/tests/series/test_api.py
@@ -171,6 +171,7 @@ class TestSeriesMisc:
     def test_inspect_getmembers(self):
         # GH38782
         td.versioned_importorskip("jinja2")
+        td.versioned_importorskip("pyarrow")
         ser = Series(dtype=object)
         msg = "Series._data is deprecated"
         with tm.assert_produces_warning(