/usr/local/lib64/python3.6/site-packages/pyarrow/include/arrow/python
Edit: /usr/local/lib64/python3.6/site-packages/pyarrow/include/arrow/python/python_to_arrow.h (2521B)
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
// Functions for converting between CPython built-in data structures and Arrow
// data structures
#pragma once
#include "arrow/python/platform.h"
#include
#include
#include "arrow/python/visibility.h"
#include "arrow/type.h"
#include "arrow/util/macros.h"
#include "arrow/python/common.h"
namespace arrow {
class Array;
class Status;
namespace py {
struct PyConversionOptions {
PyConversionOptions() = default;
PyConversionOptions(const std::shared_ptr& type, int64_t size,
MemoryPool* pool, bool from_pandas)
: type(type), size(size), from_pandas(from_pandas) {}
// Set to null if to be inferred
std::shared_ptr type;
// Default is -1, which indicates the size should the same as the input sequence
int64_t size = -1;
bool from_pandas = false;
/// Used to maintain backwards compatibility for
/// timezone bugs (see ARROW-9528). Should be removed
/// after Arrow 2.0 release.
bool ignore_timezone = false;
bool strict = false;
};
/// \brief Convert sequence (list, generator, NumPy array with dtype object) of
/// Python objects.
/// \param[in] obj the sequence to convert
/// \param[in] mask a NumPy array of true/false values to indicate whether
/// values in the sequence are null (true) or not null (false). This parameter
/// may be null
/// \param[in] options various conversion options
/// \param[in] pool MemoryPool to use for allocations
/// \return Result ChunkedArray
ARROW_PYTHON_EXPORT
Result> ConvertPySequence(
PyObject* obj, PyObject* mask, PyConversionOptions options,
MemoryPool* pool = default_memory_pool());
} // namespace py
} // namespace arrow