http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7c942e5c/docs/cpp/arrow__to__pandas_8h_source.html ---------------------------------------------------------------------- diff --git a/docs/cpp/arrow__to__pandas_8h_source.html b/docs/cpp/arrow__to__pandas_8h_source.html index 1df2518..dccf78a 100644 --- a/docs/cpp/arrow__to__pandas_8h_source.html +++ b/docs/cpp/arrow__to__pandas_8h_source.html @@ -67,16 +67,16 @@ $(function() { <div class="title">arrow_to_pandas.h</div> </div> </div><!--header--> <div class="contents"> -<a href="arrow__to__pandas_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// or more contributor license agreements. See the NOTICE file</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// regarding copyright ownership. The ASF licenses this file</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00006"></a>< span class="lineno"> 6</span> <span class="comment">// "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// with the License. You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">// software dis tributed under the License is distributed on an</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">// KIND, either express or implied. See the License for the</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// Functions for converting between pandas's NumPy-based data representation</span></div><d iv class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">// and Arrow data structures</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#ifndef ARROW_PYTHON_ADAPTERS_PANDAS_H</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#define ARROW_PYTHON_ADAPTERS_PANDAS_H</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="platform_8h.html">arrow/python/platform.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span clas s="preprocessor">#include <memory></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="visibility_8h.html">arrow/util/visibility.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span><a class="code" href="namespacearrow.html">arrow</a> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">class </span>Array;</div><div class="line"><a name="l00034"></a><s pan class="lineno"> 34</span> <span class="keyword">class </span>Column;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">class </span>DataType;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">class </span>MemoryPool;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">class </span>Status;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">class </span>Table;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>py {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <a class="code" href="visibili ty_8h.html#a7060b7b5f11fc11ce77a4d30b37619ef">ARROW_EXPORT</a></div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> Status <a class="code" href="namespacearrow_1_1py.html#ade4ce16ed0a49f9a70358fb2cc30e495">ConvertArrayToPandas</a>(</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> std::shared_ptr<Array>& arr, PyObject* py_ref, PyObject** out);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <a class="code" href="visibility_8h.html#a7060b7b5f11fc11ce77a4d30b37619ef">ARROW_EXPORT</a></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> Status <a class="code" href="namespacearrow_1_1py.html#ad1ab8be3a515a2cf0ba4b9665aabfe8b">ConvertColumnToPandas</a>(</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&# 160; <span class="keyword">const</span> std::shared_ptr<Column>& col, PyObject* py_ref, PyObject** out);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"><a class="line" href="structarrow_1_1py_1_1_pandas_options.html"> 50</a></span> <span class="keyword">struct </span><a class="code" href="structarrow_1_1py_1_1_pandas_options.html">PandasOptions</a> {</div><div class="line"><a name="l00051"></a><span class="lineno"><a class="line" href="structarrow_1_1py_1_1_pandas_options.html#aea24810361b67d93f00c68f41c5e7565"> 51</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarrow_1_1py_1_1_pandas_options.html#aea24810361b67d93f00c68f41c5e7565">strings_to_categorical</a>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> };</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment">// Convert a whole table as efficiently as possible to a pandas.DataFrame.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment">//</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment">// The returned Python object is a list of tuples consisting of the exact 2D</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment">// BlockManager structure of the pandas.DataFrame used as of pandas 0.19.x.</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment">//</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment">// tuple item: (indices: ndarray[int32], block: ndarray[TYPE, ndim=2])</span></div><div class="li ne"><a name="l00060"></a><span class="lineno"> 60</span> <a class="code" href="visibility_8h.html#a7060b7b5f11fc11ce77a4d30b37619ef">ARROW_EXPORT</a></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a38d3e462c967c3248052108d8c0ec862">ConvertTableToPandas</a>(</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keyword">const</span> std::shared_ptr<Table>& table, <span class="keywordtype">int</span> nthreads, PyObject** out);</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> } <span class="comment">// namespace py</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> } <span class="comment">// namespace arrow</span></div><div c lass="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#endif // ARROW_PYTHON_ADAPTERS_PANDAS_H</span></div><div class="ttc" id="namespacearrow_1_1py_html_ad1ab8be3a515a2cf0ba4b9665aabfe8b"><div class="ttname"><a href="namespacearrow_1_1py.html#ad1ab8be3a515a2cf0ba4b9665aabfe8b">arrow::py::ConvertColumnToPandas</a></div><div class="ttdeci">Status ConvertColumnToPandas(const std::shared_ptr< Column > &col, PyObject *py_ref, PyObject **out)</div><div class="ttdef"><b>Definition:</b> arrow_to_pandas.cc:1614</div></div> -<div class="ttc" id="platform_8h_html"><div class="ttname"><a href="platform_8h.html">platform.h</a></div></div> -<div class="ttc" id="classarrow_1_1_status_html"><div class="ttname"><a href="classarrow_1_1_status.html">arrow::Status</a></div><div class="ttdef"><b>Definition:</b> status.h:80</div></div> -<div class="ttc" id="structarrow_1_1py_1_1_pandas_options_html"><div class="ttname"><a href="structarrow_1_1py_1_1_pandas_options.html">arrow::py::PandasOptions</a></div><div class="ttdef"><b>Definition:</b> arrow_to_pandas.h:50</div></div> +<a href="arrow__to__pandas_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">// Licensed to the Apache Software Foundation (ASF) under one</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// or more contributor license agreements. See the NOTICE file</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// distributed with this work for additional information</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">// regarding copyright ownership. The ASF licenses this file</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">// to you under the Apache License, Version 2.0 (the</span></div><div class="line"><a name="l00006"></a>< span class="lineno"> 6</span> <span class="comment">// "License"); you may not use this file except in compliance</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">// with the License. You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">//</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">// http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">//</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">// Unless required by applicable law or agreed to in writing,</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">// software dis tributed under the License is distributed on an</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">// KIND, either express or implied. See the License for the</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">// specific language governing permissions and limitations</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">// under the License.</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> </div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment">// Functions for converting between pandas's NumPy-based data representation</span></div><d iv class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">// and Arrow data structures</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#ifndef ARROW_PYTHON_ADAPTERS_PANDAS_H</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#define ARROW_PYTHON_ADAPTERS_PANDAS_H</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> </div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="platform_8h.html">arrow/python/platform.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span clas s="preprocessor">#include <memory></span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include <string></span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="visibility_8h.html">arrow/util/visibility.h</a>"</span></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span><a class="code" href="namespacearrow.html">arrow</a> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> </div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="keyword">class </span>Array;</div><div class="line"><a name="l00034"></a><s pan class="lineno"> 34</span> <span class="keyword">class </span>Column;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="keyword">class </span>DataType;</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="keyword">class </span>MemoryPool;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="keyword">class </span>Status;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="keyword">class </span>Table;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div><div class="line"><a name="l00040"></a><span class="lineno"><a class="line" href="namespacearrow_1_1py.html"> 40</a></span> <span class="keyword">namespace </span>py {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00042"></a><span class="lin eno"><a class="line" href="structarrow_1_1py_1_1_pandas_options.html"> 42</a></span> <span class="keyword">struct </span><a class="code" href="structarrow_1_1py_1_1_pandas_options.html">PandasOptions</a> {</div><div class="line"><a name="l00043"></a><span class="lineno"><a class="line" href="structarrow_1_1py_1_1_pandas_options.html#aea24810361b67d93f00c68f41c5e7565"> 43</a></span>  <span class="keywordtype">bool</span> <a class="code" href="structarrow_1_1py_1_1_pandas_options.html#aea24810361b67d93f00c68f41c5e7565">strings_to_categorical</a>;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> };</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> ARROW_EXPORT</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href= "namespacearrow_1_1py.html#a50bc5feceac74c1959575d5680ba9f3b">ConvertArrayToPandas</a>(<a class="code" href="structarrow_1_1py_1_1_pandas_options.html">PandasOptions</a> options, <span class="keyword">const</span> std::shared_ptr<Array>& arr,</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  PyObject* py_ref, PyObject** out);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> ARROW_EXPORT</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a46c8b5a2dbbb6440e5b79ce0a3db999b">ConvertColumnToPandas</a>(<a class="code" href="structarrow_1_1py_1_1_pandas_options.html">PandasOptions</a> options, <span class="keyword">const</span> std::shared_ptr<Column>& col ,</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  PyObject* py_ref, PyObject** out);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> </div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment">// Convert a whole table as efficiently as possible to a pandas.DataFrame.</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="comment">//</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="comment">// The returned Python object is a list of tuples consisting of the exact 2D</span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment">// BlockManager structure of the pandas.DataFrame used as of pandas 0.19.x.</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <s pan class="comment">//</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment">// tuple item: (indices: ndarray[int32], block: ndarray[TYPE, ndim=2])</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> ARROW_EXPORT</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <a class="code" href="classarrow_1_1_status.html">Status</a> <a class="code" href="namespacearrow_1_1py.html#a19b4fb181177c22afb558f1711d3bd75">ConvertTableToPandas</a>(<a class="code" href="structarrow_1_1py_1_1_pandas_options.html">PandasOptions</a> options, <span class="keyword">const</span> std::shared_ptr<Table>& table,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordtype">int</span> nthreads, <a class="code" href="classarrow_1_1_memory_pool.html">MemoryPool</a>* pool, PyObject** out);</div><div class= "line"><a name="l00063"></a><span class="lineno"> 63</span> </div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> } <span class="comment">// namespace py</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> } <span class="comment">// namespace arrow</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor">#endif // ARROW_PYTHON_ADAPTERS_PANDAS_H</span></div><div class="ttc" id="platform_8h_html"><div class="ttname"><a href="platform_8h.html">platform.h</a></div></div> +<div class="ttc" id="classarrow_1_1_status_html"><div class="ttname"><a href="classarrow_1_1_status.html">arrow::Status</a></div><div class="ttdef"><b>Definition:</b> status.h:84</div></div> +<div class="ttc" id="structarrow_1_1py_1_1_pandas_options_html"><div class="ttname"><a href="structarrow_1_1py_1_1_pandas_options.html">arrow::py::PandasOptions</a></div><div class="ttdef"><b>Definition:</b> arrow_to_pandas.h:42</div></div> <div class="ttc" id="visibility_8h_html"><div class="ttname"><a href="visibility_8h.html">visibility.h</a></div></div> -<div class="ttc" id="structarrow_1_1py_1_1_pandas_options_html_aea24810361b67d93f00c68f41c5e7565"><div class="ttname"><a href="structarrow_1_1py_1_1_pandas_options.html#aea24810361b67d93f00c68f41c5e7565">arrow::py::PandasOptions::strings_to_categorical</a></div><div class="ttdeci">bool strings_to_categorical</div><div class="ttdef"><b>Definition:</b> arrow_to_pandas.h:51</div></div> -<div class="ttc" id="namespacearrow_html"><div class="ttname"><a href="namespacearrow.html">arrow</a></div><div class="ttdoc">Public API for the "Feather" file format, originally created at http://github.com/wesm/feather. </div><div class="ttdef"><b>Definition:</b> allocator.h:28</div></div> -<div class="ttc" id="namespacearrow_1_1py_html_ade4ce16ed0a49f9a70358fb2cc30e495"><div class="ttname"><a href="namespacearrow_1_1py.html#ade4ce16ed0a49f9a70358fb2cc30e495">arrow::py::ConvertArrayToPandas</a></div><div class="ttdeci">Status ConvertArrayToPandas(const std::shared_ptr< Array > &arr, PyObject *py_ref, PyObject **out)</div><div class="ttdef"><b>Definition:</b> arrow_to_pandas.cc:1606</div></div> -<div class="ttc" id="namespacearrow_1_1py_html_a38d3e462c967c3248052108d8c0ec862"><div class="ttname"><a href="namespacearrow_1_1py.html#a38d3e462c967c3248052108d8c0ec862">arrow::py::ConvertTableToPandas</a></div><div class="ttdeci">Status ConvertTableToPandas(const std::shared_ptr< Table > &table, int nthreads, PyObject **out)</div><div class="ttdef"><b>Definition:</b> arrow_to_pandas.cc:1620</div></div> -<div class="ttc" id="visibility_8h_html_a7060b7b5f11fc11ce77a4d30b37619ef"><div class="ttname"><a href="visibility_8h.html#a7060b7b5f11fc11ce77a4d30b37619ef">ARROW_EXPORT</a></div><div class="ttdeci">#define ARROW_EXPORT</div><div class="ttdef"><b>Definition:</b> visibility.h:37</div></div> +<div class="ttc" id="namespacearrow_1_1py_html_a46c8b5a2dbbb6440e5b79ce0a3db999b"><div class="ttname"><a href="namespacearrow_1_1py.html#a46c8b5a2dbbb6440e5b79ce0a3db999b">arrow::py::ConvertColumnToPandas</a></div><div class="ttdeci">Status ConvertColumnToPandas(PandasOptions options, const std::shared_ptr< Column > &col, PyObject *py_ref, PyObject **out)</div></div> +<div class="ttc" id="structarrow_1_1py_1_1_pandas_options_html_aea24810361b67d93f00c68f41c5e7565"><div class="ttname"><a href="structarrow_1_1py_1_1_pandas_options.html#aea24810361b67d93f00c68f41c5e7565">arrow::py::PandasOptions::strings_to_categorical</a></div><div class="ttdeci">bool strings_to_categorical</div><div class="ttdef"><b>Definition:</b> arrow_to_pandas.h:43</div></div> +<div class="ttc" id="namespacearrow_html"><div class="ttname"><a href="namespacearrow.html">arrow</a></div><div class="ttdoc">Top-level namespace for Apache Arrow C++ API. </div><div class="ttdef"><b>Definition:</b> allocator.h:28</div></div> +<div class="ttc" id="namespacearrow_1_1py_html_a50bc5feceac74c1959575d5680ba9f3b"><div class="ttname"><a href="namespacearrow_1_1py.html#a50bc5feceac74c1959575d5680ba9f3b">arrow::py::ConvertArrayToPandas</a></div><div class="ttdeci">Status ConvertArrayToPandas(PandasOptions options, const std::shared_ptr< Array > &arr, PyObject *py_ref, PyObject **out)</div></div> +<div class="ttc" id="classarrow_1_1_memory_pool_html"><div class="ttname"><a href="classarrow_1_1_memory_pool.html">arrow::MemoryPool</a></div><div class="ttdoc">Base class for memory allocation. </div><div class="ttdef"><b>Definition:</b> memory_pool.h:35</div></div> +<div class="ttc" id="namespacearrow_1_1py_html_a19b4fb181177c22afb558f1711d3bd75"><div class="ttname"><a href="namespacearrow_1_1py.html#a19b4fb181177c22afb558f1711d3bd75">arrow::py::ConvertTableToPandas</a></div><div class="ttdeci">Status ConvertTableToPandas(PandasOptions options, const std::shared_ptr< Table > &table, int nthreads, MemoryPool *pool, PyObject **out)</div></div> </div><!-- fragment --></div><!-- contents --> <!-- start footer part --> <hr class="footer"/><address class="footer"><small>
http://git-wip-us.apache.org/repos/asf/arrow-site/blob/7c942e5c/docs/cpp/bit-stream-utils_8h.html ---------------------------------------------------------------------- diff --git a/docs/cpp/bit-stream-utils_8h.html b/docs/cpp/bit-stream-utils_8h.html index 3e96fbf..361197a 100644 --- a/docs/cpp/bit-stream-utils_8h.html +++ b/docs/cpp/bit-stream-utils_8h.html @@ -65,15 +65,14 @@ $(function() { <div class="header"> <div class="summary"> <a href="#nested-classes">Classes</a> | -<a href="#namespaces">Namespaces</a> | -<a href="#func-members">Functions</a> </div> +<a href="#namespaces">Namespaces</a> </div> <div class="headertitle"> <div class="title">bit-stream-utils.h File Reference</div> </div> </div><!--header--> <div class="contents"> -<div class="textblock"><code>#include <algorithm></code><br /> +<div class="textblock"><code>#include <<a class="el" href="string_8h_source.html">string.h</a>></code><br /> +<code>#include <algorithm></code><br /> <code>#include <cstdint></code><br /> -<code>#include <<a class="el" href="string_8h_source.html">string.h</a>></code><br /> <code>#include "<a class="el" href="bit-util_8h_source.html">arrow/util/bit-util.h</a>"</code><br /> <code>#include "<a class="el" href="bpacking_8h_source.html">arrow/util/bpacking.h</a>"</code><br /> <code>#include "<a class="el" href="compiler-util_8h_source.html">arrow/util/compiler-util.h</a>"</code><br /> @@ -93,14 +92,8 @@ Classes</h2></td></tr> <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="namespaces"></a> Namespaces</h2></td></tr> <tr class="memitem:namespacearrow"><td class="memItemLeft" align="right" valign="top">  </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearrow.html">arrow</a></td></tr> -<tr class="memdesc:namespacearrow"><td class="mdescLeft"> </td><td class="mdescRight">Public API for the "Feather" file format, originally created at <a href="http://github.com/wesm/feather";>http://github.com/wesm/feather</a>. <br /></td></tr> +<tr class="memdesc:namespacearrow"><td class="mdescLeft"> </td><td class="mdescRight">Top-level namespace for Apache Arrow C++ API. <br /></td></tr> <tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr> -</table><table class="memberdecls"> -<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a> -Functions</h2></td></tr> -<tr class="memitem:a6bbaeb6cc0014ad51028afe84894c5e9"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> -<tr class="memitem:a6bbaeb6cc0014ad51028afe84894c5e9"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearrow.html#a6bbaeb6cc0014ad51028afe84894c5e9">arrow::GetValue_</a> (int num_bits, T *v, int max_bytes, const uint8_t *buffer, int *bit_offset, int *byte_offset, uint64_t *buffered_values)</td></tr> -<tr class="separator:a6bbaeb6cc0014ad51028afe84894c5e9"><td class="memSeparator" colspan="2"> </td></tr> </table> </div><!-- contents --> <!-- start footer part -->
