[Python] Add a utility function to create Arrow table instead of pandas df

[AlenkaF]

Describe the enhancement requested

It would be good to have a utility function to create an Arrow table directly instead of having to go through pandas in some of out pyarrow tests. The existing utility function that uses pandas is:

arrow/python/pyarrow/tests/parquet/common.py

Lines 98 to 121 in bb33493

	def _test_dataframe(size=10000, seed=0):
	import pandas as pd
	np.random.seed(seed)
	df = pd.DataFrame({
	'uint8': _random_integers(size, np.uint8),
	'uint16': _random_integers(size, np.uint16),
	'uint32': _random_integers(size, np.uint32),
	'uint64': _random_integers(size, np.uint64),
	'int8': _random_integers(size, np.int8),
	'int16': _random_integers(size, np.int16),
	'int32': _random_integers(size, np.int32),
	'int64': _random_integers(size, np.int64),
	'float32': np.random.randn(size).astype(np.float32),
	'float64': np.arange(size, dtype=np.float64),
	'bool': np.random.randn(size) > 0,
	'strings': [util.rands(10) for i in range(size)],
	'all_none': [None] * size,
	'all_none_category': [None] * size
	})
	# TODO(PARQUET-1015)
	# df['all_none_category'] = df['all_none_category'].astype('category')
	return df

This issue would move some of tests using _test_dataframe to use a new utility function and remove the @pytest.mark.pandas in this cases.

Component(s)

Python

[egolearner]

Hi @AlenkaF I'd like to work on this

/assign

[raulcd]

Thanks @egolearner , I've assigned the issue as you had commented. You can also send a comment with just the word take in the future and the bot will assign the issue to you.