[Python] Add select method to pyarrow.RecordBatch

[AlenkaF]

Describe the enhancement requested

There is a select method defined for pa.Table

arrow/python/pyarrow/table.pxi

Lines 3107 to 3156 in db60be2

	def select(self, object columns):
	"""
	Select columns of the Table.
	Returns a new Table with the specified columns, and metadata
	preserved.
	Parameters
	----------
	columns : list-like
	The column names or integer indices to select.
	Returns
	-------
	Table
	Examples
	--------
	>>> import pyarrow as pa
	>>> import pandas as pd
	>>> df = pd.DataFrame({'year': [2020, 2022, 2019, 2021],
	... 'n_legs': [2, 4, 5, 100],
	... 'animals': ["Flamingo", "Horse", "Brittle stars", "Centipede"]})
	>>> table = pa.Table.from_pandas(df)
	>>> table.select([0,1])
	pyarrow.Table
	year: int64
	n_legs: int64
	----
	year: [[2020,2022,2019,2021]]
	n_legs: [[2,4,5,100]]
	>>> table.select(["year"])
	pyarrow.Table
	year: int64
	----
	year: [[2020,2022,2019,2021]]
	"""
	cdef:
	shared_ptr[CTable] c_table
	vector[int] c_indices
	for idx in columns:
	idx = self._ensure_integer_index(idx)
	idx = _normalize_index(idx, self.num_columns)
	c_indices.push_back(<int> idx)
	with nogil:
	c_table = GetResultValue(self.table.SelectColumns(move(c_indices)))
	return pyarrow_wrap_table(c_table)

and we should add the same for pa.RecordBatch.

Component(s)

Python