Remove warnings and logging in minimal pyspark unit test

I am writing a set of unit tests for some library that depends and uses PySpark. For that, I am using something like this:

import unittest

import pyspark
from pyspark.sql.types import Row


class PySparkTestCase(unittest.TestCase):

    def setUp(cls):
        conf = pyspark.SparkConf().setMaster('local[1]').setAppName("testing")
        cls.spark = pyspark.SQLContext(pyspark.SparkContext(conf=conf))

    def tearDown(cls):
        cls.spark._sc.stop()

    def test_basic(self):
        instance = self.spark.createDataFrame(data=[Row(a=1.0, b='s'), Row(a=1.0, b='s')])
        self.assertEqual(instance.count(), 2)

and executing (Python 3.7.0, pyspark==2.3.1), as

python -m unittest example

The test passes but with one log message and 2 warnings:

2018-09-08 12:14:15 WARN NativeCodeLoader:62 - Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

Setting default log level to "WARN".

To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).

/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/subprocess.py:839: ResourceWarning: subprocess 13349 is still running ResourceWarning, source=self)

/Library/Frameworks/Python.framework/Versions/3.7/lib/python3.7/importlib/_bootstrap.py:219: ImportWarning: can't resolve package from __spec__ or __package__, falling back on __name__ and __path__ return f(*args, **kwds)

.

---

Ran 1 test in 16.361s

OK

1. Should I be worried about any of this?
2. If not, how do I suppress this text from showing up?