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Posted to commits@arrow.apache.org by ks...@apache.org on 2020/04/21 12:17:07 UTC
[arrow-site] branch asf-site updated: [Website] Update
documentations for 0.17.0 (#54)
This is an automated email from the ASF dual-hosted git repository.
kszucs pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/arrow-site.git
The following commit(s) were added to refs/heads/asf-site by this push:
new 035c2df [Website] Update documentations for 0.17.0 (#54)
035c2df is described below
commit 035c2df08c0e1475fae7eef4f25c703a534a1945
Author: Krisztián Szűcs <sz...@gmail.com>
AuthorDate: Tue Apr 21 14:16:59 2020 +0200
[Website] Update documentations for 0.17.0 (#54)
---
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diff --git a/docs/.doctrees/python/parquet.doctree b/docs/.doctrees/python/parquet.doctree
deleted file mode 100644
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diff --git a/docs/.doctrees/python/plasma.doctree b/docs/.doctrees/python/plasma.doctree
deleted file mode 100644
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diff --git a/docs/.doctrees/python/timestamps.doctree b/docs/.doctrees/python/timestamps.doctree
deleted file mode 100644
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diff --git a/docs/_modules/index.html b/docs/_modules/index.html
index a5b45fe..89c945f 100644
--- a/docs/_modules/index.html
+++ b/docs/_modules/index.html
@@ -9,7 +9,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>Overview: module code — Apache Arrow v0.16.1.dev0+g729a7689f.d20200211</title>
+ <title>Overview: module code — Apache Arrow v0.17.0</title>
@@ -59,7 +59,7 @@
<div class="version">
- 0.16.1.dev0+g729a7689f.d20200211
+ 0.17.0
</div>
@@ -83,25 +83,23 @@
- <ul>
-<li class="toctree-l1"><a class="reference internal" href="../format/Guidelines.html">Implementation Guidelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../format/Layout.html">Physical Memory Layout</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../format/IPC.html">IPC</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../format/Metadata.html">Format Metadata</a></li>
-</ul>
-<p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
+ <p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../format/Versioning.html">Format Versioning and Stability</a></li>
<li class="toctree-l1"><a class="reference internal" href="../format/Columnar.html">Arrow Columnar Format</a></li>
<li class="toctree-l1"><a class="reference internal" href="../format/Flight.html">Arrow Flight RPC</a></li>
<li class="toctree-l1"><a class="reference internal" href="../format/Integration.html">Integration Testing</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../format/CDataInterface.html">The Arrow C data interface</a></li>
<li class="toctree-l1"><a class="reference internal" href="../format/Other.html">Other Data Structures</a></li>
</ul>
<p class="caption"><span class="caption-text">Arrow Libraries</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../cpp/index.html">C++ Implementation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../python/index.html">Python bindings</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../java/index.html">Java Implementation</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/java/">Java</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/c_glib/">C GLib</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/js/">JavaScript</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/r/">R</a></li>
</ul>
<p class="caption"><span class="caption-text">Development and Contributing</span></p>
<ul>
@@ -189,6 +187,7 @@
<li><a href="pyarrow/orc.html">pyarrow.orc</a></li>
<li><a href="pyarrow/parquet.html">pyarrow.parquet</a></li>
<li><a href="pyarrow/types.html">pyarrow.types</a></li>
+<li><a href="pyarrow/util.html">pyarrow.util</a></li>
</ul><li><a href="unittest/mock.html">unittest.mock</a></li>
</ul>
diff --git a/docs/_modules/pyarrow.html b/docs/_modules/pyarrow.html
index 041731c..ee1dbae 100644
--- a/docs/_modules/pyarrow.html
+++ b/docs/_modules/pyarrow.html
@@ -9,7 +9,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>pyarrow — Apache Arrow v0.16.1.dev0+g729a7689f.d20200211</title>
+ <title>pyarrow — Apache Arrow v0.17.0</title>
@@ -59,7 +59,7 @@
<div class="version">
- 0.16.1.dev0+g729a7689f.d20200211
+ 0.17.0
</div>
@@ -83,25 +83,23 @@
- <ul>
-<li class="toctree-l1"><a class="reference internal" href="../format/Guidelines.html">Implementation Guidelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../format/Layout.html">Physical Memory Layout</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../format/IPC.html">IPC</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../format/Metadata.html">Format Metadata</a></li>
-</ul>
-<p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
+ <p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../format/Versioning.html">Format Versioning and Stability</a></li>
<li class="toctree-l1"><a class="reference internal" href="../format/Columnar.html">Arrow Columnar Format</a></li>
<li class="toctree-l1"><a class="reference internal" href="../format/Flight.html">Arrow Flight RPC</a></li>
<li class="toctree-l1"><a class="reference internal" href="../format/Integration.html">Integration Testing</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../format/CDataInterface.html">The Arrow C data interface</a></li>
<li class="toctree-l1"><a class="reference internal" href="../format/Other.html">Other Data Structures</a></li>
</ul>
<p class="caption"><span class="caption-text">Arrow Libraries</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../cpp/index.html">C++ Implementation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../python/index.html">Python bindings</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../java/index.html">Java Implementation</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/java/">Java</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/c_glib/">C GLib</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/js/">JavaScript</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/r/">R</a></li>
</ul>
<p class="caption"><span class="caption-text">Development and Contributing</span></p>
<ul>
@@ -194,7 +192,17 @@
<span class="c1"># flake8: noqa</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">absolute_import</span>
+<span class="sd">"""</span>
+<span class="sd">PyArrow is the python implementation of Apache Arrow.</span>
+
+<span class="sd">Apache Arrow is a cross-language development platform for in-memory data.</span>
+<span class="sd">It specifies a standardized language-independent columnar memory format for</span>
+<span class="sd">flat and hierarchical data, organized for efficient analytic operations on</span>
+<span class="sd">modern hardware. It also provides computational libraries and zero-copy</span>
+<span class="sd">streaming messaging and interprocess communication.</span>
+
+<span class="sd">For more information see the official page at https://arrow.apache.org</span>
+<span class="sd">"""</span>
<span class="kn">import</span> <span class="nn">os</span> <span class="k">as</span> <span class="nn">_os</span>
<span class="kn">import</span> <span class="nn">sys</span> <span class="k">as</span> <span class="nn">_sys</span>
@@ -244,12 +252,15 @@
<span class="n">PyExtensionType</span><span class="p">,</span> <span class="n">UnknownExtensionType</span><span class="p">,</span>
<span class="n">register_extension_type</span><span class="p">,</span> <span class="n">unregister_extension_type</span><span class="p">,</span>
<span class="n">DictionaryMemo</span><span class="p">,</span>
+ <span class="n">KeyValueMetadata</span><span class="p">,</span>
<span class="n">Field</span><span class="p">,</span>
<span class="n">Schema</span><span class="p">,</span>
<span class="n">schema</span><span class="p">,</span>
+ <span class="n">unify_schemas</span><span class="p">,</span>
<span class="n">Array</span><span class="p">,</span> <span class="n">Tensor</span><span class="p">,</span>
<span class="n">array</span><span class="p">,</span> <span class="n">chunked_array</span><span class="p">,</span> <span class="n">record_batch</span><span class="p">,</span> <span class="n">table</span><span class="p">,</span>
- <span class="n">SparseCSRMatrix</span><span class="p">,</span> <span class="n">SparseCOOTensor</span><span class="p">,</span>
+ <span class="n">SparseCOOTensor</span><span class="p">,</span> <span class="n">SparseCSRMatrix</span><span class="p">,</span> <span class="n">SparseCSCMatrix</span><span class="p">,</span>
+ <span class="n">SparseCSFTensor</span><span class="p">,</span>
<span class="n">infer_type</span><span class="p">,</span> <span class="n">from_numpy_dtype</span><span class="p">,</span>
<span class="n">NullArray</span><span class="p">,</span>
<span class="n">NumericArray</span><span class="p">,</span> <span class="n">IntegerArray</span><span class="p">,</span> <span class="n">FloatingPointArray</span><span class="p">,</span>
@@ -283,7 +294,7 @@
<span class="c1"># Buffers, allocation</span>
<span class="kn">from</span> <span class="nn">pyarrow.lib</span> <span class="kn">import</span> <span class="p">(</span><span class="n">Buffer</span><span class="p">,</span> <span class="n">ResizableBuffer</span><span class="p">,</span> <span class="n">foreign_buffer</span><span class="p">,</span> <span class="n">py_buffer</span><span class="p">,</span>
- <span class="n">compress</span><span class="p">,</span> <span class="n">decompress</span><span class="p">,</span> <span class="n">allocate_buffer</span><span class="p">)</span>
+ <span class="n">Codec</span><span class="p">,</span> <span class="n">compress</span><span class="p">,</span> <span class="n">decompress</span><span class="p">,</span> <span class="n">allocate_buffer</span><span class="p">)</span>
<span class="kn">from</span> <span class="nn">pyarrow.lib</span> <span class="kn">import</span> <span class="p">(</span><span class="n">MemoryPool</span><span class="p">,</span> <span class="n">LoggingMemoryPool</span><span class="p">,</span> <span class="n">ProxyMemoryPool</span><span class="p">,</span>
<span class="n">total_allocated_bytes</span><span class="p">,</span> <span class="n">set_memory_pool</span><span class="p">,</span>
@@ -298,7 +309,7 @@
<span class="n">FixedSizeBufferWriter</span><span class="p">,</span>
<span class="n">BufferReader</span><span class="p">,</span> <span class="n">BufferOutputStream</span><span class="p">,</span>
<span class="n">OSFile</span><span class="p">,</span> <span class="n">MemoryMappedFile</span><span class="p">,</span> <span class="n">memory_map</span><span class="p">,</span>
- <span class="n">create_memory_map</span><span class="p">,</span> <span class="n">have_libhdfs</span><span class="p">,</span> <span class="n">have_libhdfs3</span><span class="p">,</span>
+ <span class="n">create_memory_map</span><span class="p">,</span> <span class="n">have_libhdfs</span><span class="p">,</span>
<span class="n">MockOutputStream</span><span class="p">,</span> <span class="n">input_stream</span><span class="p">,</span> <span class="n">output_stream</span><span class="p">)</span>
<span class="kn">from</span> <span class="nn">pyarrow.lib</span> <span class="kn">import</span> <span class="p">(</span><span class="n">ChunkedArray</span><span class="p">,</span> <span class="n">RecordBatch</span><span class="p">,</span> <span class="n">Table</span><span class="p">,</span>
@@ -327,15 +338,7 @@
<span class="kn">from</span> <span class="nn">pyarrow.hdfs</span> <span class="kn">import</span> <span class="n">HadoopFileSystem</span>
<span class="kn">import</span> <span class="nn">pyarrow.hdfs</span> <span class="k">as</span> <span class="nn">hdfs</span>
-<span class="kn">from</span> <span class="nn">pyarrow.ipc</span> <span class="kn">import</span> <span class="p">(</span><span class="n">Message</span><span class="p">,</span> <span class="n">MessageReader</span><span class="p">,</span>
- <span class="n">RecordBatchFileReader</span><span class="p">,</span> <span class="n">RecordBatchFileWriter</span><span class="p">,</span>
- <span class="n">RecordBatchStreamReader</span><span class="p">,</span> <span class="n">RecordBatchStreamWriter</span><span class="p">,</span>
- <span class="n">read_message</span><span class="p">,</span> <span class="n">read_record_batch</span><span class="p">,</span> <span class="n">read_schema</span><span class="p">,</span>
- <span class="n">read_tensor</span><span class="p">,</span> <span class="n">write_tensor</span><span class="p">,</span>
- <span class="n">get_record_batch_size</span><span class="p">,</span> <span class="n">get_tensor_size</span><span class="p">,</span>
- <span class="n">open_stream</span><span class="p">,</span>
- <span class="n">open_file</span><span class="p">,</span>
- <span class="n">serialize_pandas</span><span class="p">,</span> <span class="n">deserialize_pandas</span><span class="p">)</span>
+<span class="kn">from</span> <span class="nn">pyarrow.ipc</span> <span class="kn">import</span> <span class="n">serialize_pandas</span><span class="p">,</span> <span class="n">deserialize_pandas</span>
<span class="kn">import</span> <span class="nn">pyarrow.ipc</span> <span class="k">as</span> <span class="nn">ipc</span>
@@ -367,6 +370,41 @@
<span class="kn">from</span> <span class="nn">pyarrow.util</span> <span class="kn">import</span> <span class="n">_deprecate_api</span> <span class="c1"># noqa</span>
+<span class="n">read_message</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"read_message"</span><span class="p">,</span> <span class="s2">"ipc.read_message"</span><span class="p">,</span>
+ <span class="n">ipc</span><span class="o">.</span><span class="n">read_message</span><span class="p">,</span> <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="n">read_record_batch</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"read_record_batch"</span><span class="p">,</span>
+ <span class="s2">"ipc.read_record_batch"</span><span class="p">,</span>
+ <span class="n">ipc</span><span class="o">.</span><span class="n">read_record_batch</span><span class="p">,</span> <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="n">read_schema</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"read_schema"</span><span class="p">,</span> <span class="s2">"ipc.read_schema"</span><span class="p">,</span>
+ <span class="n">ipc</span><span class="o">.</span><span class="n">read_schema</span><span class="p">,</span> <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="n">read_tensor</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"read_tensor"</span><span class="p">,</span> <span class="s2">"ipc.read_tensor"</span><span class="p">,</span>
+ <span class="n">ipc</span><span class="o">.</span><span class="n">read_tensor</span><span class="p">,</span> <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="n">write_tensor</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"write_tensor"</span><span class="p">,</span> <span class="s2">"ipc.write_tensor"</span><span class="p">,</span>
+ <span class="n">ipc</span><span class="o">.</span><span class="n">write_tensor</span><span class="p">,</span> <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="n">get_record_batch_size</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"get_record_batch_size"</span><span class="p">,</span>
+ <span class="s2">"ipc.get_record_batch_size"</span><span class="p">,</span>
+ <span class="n">ipc</span><span class="o">.</span><span class="n">get_record_batch_size</span><span class="p">,</span> <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="n">get_tensor_size</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"get_tensor_size"</span><span class="p">,</span>
+ <span class="s2">"ipc.get_tensor_size"</span><span class="p">,</span>
+ <span class="n">ipc</span><span class="o">.</span><span class="n">get_tensor_size</span><span class="p">,</span> <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="n">open_stream</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"open_stream"</span><span class="p">,</span> <span class="s2">"ipc.open_stream"</span><span class="p">,</span>
+ <span class="n">ipc</span><span class="o">.</span><span class="n">open_stream</span><span class="p">,</span> <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="n">open_file</span> <span class="o">=</span> <span class="n">_deprecate_api</span><span class="p">(</span><span class="s2">"open_file"</span><span class="p">,</span> <span class="s2">"ipc.open_file"</span><span class="p">,</span> <span class="n">ipc</span><span class="o">.</span><span class="n">open_file</span><span class="p">,</span>
+ <span class="s2">"0.17.0"</span><span class="p">)</span>
+
+<span class="c1"># TODO: Deprecate these somehow in the pyarrow namespace</span>
+<span class="kn">from</span> <span class="nn">pyarrow.ipc</span> <span class="kn">import</span> <span class="p">(</span><span class="n">Message</span><span class="p">,</span> <span class="n">MessageReader</span><span class="p">,</span>
+ <span class="n">RecordBatchFileReader</span><span class="p">,</span> <span class="n">RecordBatchFileWriter</span><span class="p">,</span>
+ <span class="n">RecordBatchStreamReader</span><span class="p">,</span> <span class="n">RecordBatchStreamWriter</span><span class="p">)</span>
+
<span class="c1"># ----------------------------------------------------------------------</span>
<span class="c1"># Returning absolute path to the pyarrow include directory (if bundled, e.g. in</span>
<span class="c1"># wheels)</span>
@@ -388,8 +426,7 @@
<span class="k">try</span><span class="p">:</span>
<span class="k">return</span> <span class="n">subprocess</span><span class="o">.</span><span class="n">call</span><span class="p">([</span><span class="n">_get_pkg_config_executable</span><span class="p">(),</span>
<span class="s1">'--exists'</span><span class="p">,</span> <span class="n">pkgname</span><span class="p">])</span> <span class="o">==</span> <span class="mi">0</span>
- <span class="k">except</span> <span class="ne">OSError</span><span class="p">:</span>
- <span class="c1"># TODO: replace with FileNotFoundError once we ditch 2.7</span>
+ <span class="k">except</span> <span class="ne">FileNotFoundError</span><span class="p">:</span>
<span class="k">return</span> <span class="kc">False</span>
@@ -438,7 +475,7 @@
<span class="k">if</span> <span class="ow">not</span> <span class="n">library_dir</span><span class="o">.</span><span class="n">startswith</span><span class="p">(</span><span class="s2">"-L"</span><span class="p">):</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
<span class="s2">"pkg-config --libs-only-L returned unexpected "</span>
- <span class="s2">"value </span><span class="si">{0!r}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">library_dir</span><span class="p">))</span>
+ <span class="s2">"value </span><span class="si">{!r}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">library_dir</span><span class="p">))</span>
<span class="n">append_library_dir</span><span class="p">(</span><span class="n">library_dir</span><span class="p">[</span><span class="mi">2</span><span class="p">:])</span>
<span class="k">if</span> <span class="n">_sys</span><span class="o">.</span><span class="n">platform</span> <span class="o">==</span> <span class="s1">'win32'</span><span class="p">:</span>
diff --git a/docs/_modules/pyarrow/dataset.html b/docs/_modules/pyarrow/dataset.html
index 2d4ed0d..ddd993f 100644
--- a/docs/_modules/pyarrow/dataset.html
+++ b/docs/_modules/pyarrow/dataset.html
@@ -9,7 +9,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>pyarrow.dataset — Apache Arrow v0.16.1.dev0+g729a7689f.d20200211</title>
+ <title>pyarrow.dataset — Apache Arrow v0.17.0</title>
@@ -59,7 +59,7 @@
<div class="version">
- 0.16.1.dev0+g729a7689f.d20200211
+ 0.17.0
</div>
@@ -83,25 +83,23 @@
- <ul>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Guidelines.html">Implementation Guidelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Layout.html">Physical Memory Layout</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/IPC.html">IPC</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Metadata.html">Format Metadata</a></li>
-</ul>
-<p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
+ <p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../format/Versioning.html">Format Versioning and Stability</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../format/Columnar.html">Arrow Columnar Format</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../format/Flight.html">Arrow Flight RPC</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../format/Integration.html">Integration Testing</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../format/CDataInterface.html">The Arrow C data interface</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../format/Other.html">Other Data Structures</a></li>
</ul>
<p class="caption"><span class="caption-text">Arrow Libraries</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../cpp/index.html">C++ Implementation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../python/index.html">Python bindings</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../java/index.html">Java Implementation</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/java/">Java</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/c_glib/">C GLib</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/js/">JavaScript</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/r/">R</a></li>
</ul>
<p class="caption"><span class="caption-text">Development and Contributing</span></p>
<ul>
@@ -196,16 +194,10 @@
<span class="sd">"""Dataset is currently unstable. APIs subject to change without notice."""</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">absolute_import</span>
-
-<span class="kn">import</span> <span class="nn">sys</span>
-
<span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="kn">from</span> <span class="nn">pyarrow.fs</span> <span class="kn">import</span> <span class="n">_normalize_path</span><span class="p">,</span> <span class="n">_MockFileSystem</span>
<span class="kn">from</span> <span class="nn">pyarrow.util</span> <span class="kn">import</span> <span class="n">_stringify_path</span><span class="p">,</span> <span class="n">_is_path_like</span>
-<span class="k">if</span> <span class="n">sys</span><span class="o">.</span><span class="n">version_info</span> <span class="o"><</span> <span class="p">(</span><span class="mi">3</span><span class="p">,):</span>
- <span class="k">raise</span> <span class="ne">ImportError</span><span class="p">(</span><span class="s2">"Python Dataset bindings require Python 3"</span><span class="p">)</span>
-
<span class="kn">from</span> <span class="nn">pyarrow._dataset</span> <span class="kn">import</span> <span class="p">(</span> <span class="c1"># noqa</span>
<span class="n">AndExpression</span><span class="p">,</span>
<span class="n">CastExpression</span><span class="p">,</span>
@@ -217,27 +209,65 @@
<span class="n">Expression</span><span class="p">,</span>
<span class="n">FieldExpression</span><span class="p">,</span>
<span class="n">FileFormat</span><span class="p">,</span>
- <span class="n">FileSystemSource</span><span class="p">,</span>
- <span class="n">FileSystemSourceFactory</span><span class="p">,</span>
+ <span class="n">FileFragment</span><span class="p">,</span>
+ <span class="n">FileSystemDataset</span><span class="p">,</span>
+ <span class="n">FileSystemDatasetFactory</span><span class="p">,</span>
<span class="n">FileSystemFactoryOptions</span><span class="p">,</span>
+ <span class="n">Fragment</span><span class="p">,</span>
<span class="n">HivePartitioning</span><span class="p">,</span>
<span class="n">InExpression</span><span class="p">,</span>
+ <span class="n">IpcFileFormat</span><span class="p">,</span>
<span class="n">IsValidExpression</span><span class="p">,</span>
<span class="n">NotExpression</span><span class="p">,</span>
<span class="n">OrExpression</span><span class="p">,</span>
<span class="n">ParquetFileFormat</span><span class="p">,</span>
+ <span class="n">ParquetFileFragment</span><span class="p">,</span>
+ <span class="n">ParquetReadOptions</span><span class="p">,</span>
<span class="n">Partitioning</span><span class="p">,</span>
<span class="n">PartitioningFactory</span><span class="p">,</span>
<span class="n">ScalarExpression</span><span class="p">,</span>
<span class="n">Scanner</span><span class="p">,</span>
<span class="n">ScanTask</span><span class="p">,</span>
- <span class="n">Source</span><span class="p">,</span>
- <span class="n">TreeSource</span><span class="p">,</span>
- <span class="n">SourceFactory</span>
+ <span class="n">UnionDataset</span><span class="p">,</span>
+ <span class="n">UnionDatasetFactory</span>
<span class="p">)</span>
-<span class="k">def</span> <span class="nf">partitioning</span><span class="p">(</span><span class="n">schema</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">field_names</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">flavor</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="field"><a class="viewcode-back" href="../../python/generated/pyarrow.dataset.field.html#pyarrow.dataset.field">[docs]</a><span class="k">def</span> <span class="nf">field</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
+ <span class="sd">"""Reference a named column of the dataset.</span>
+
+<span class="sd"> Stores only the field's name. Type and other information is known only when</span>
+<span class="sd"> the expression is bound to a dataset having an explicit scheme.</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> name : string</span>
+<span class="sd"> The name of the field the expression references to.</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> field_expr : FieldExpression</span>
+<span class="sd"> """</span>
+ <span class="k">return</span> <span class="n">FieldExpression</span><span class="p">(</span><span class="n">name</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="scalar"><a class="viewcode-back" href="../../python/generated/pyarrow.dataset.scalar.html#pyarrow.dataset.scalar">[docs]</a><span class="k">def</span> <span class="nf">scalar</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
+ <span class="sd">"""Expression representing a scalar value.</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> value : bool, int, float or string</span>
+<span class="sd"> Python value of the scalar. Note that only a subset of types are</span>
+<span class="sd"> currently supported.</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> scalar_expr : ScalarExpression</span>
+<span class="sd"> """</span>
+ <span class="k">return</span> <span class="n">ScalarExpression</span><span class="p">(</span><span class="n">value</span><span class="p">)</span></div>
+
+
+<div class="viewcode-block" id="partitioning"><a class="viewcode-back" href="../../python/generated/pyarrow.dataset.Partitioning.html#pyarrow.dataset.partitioning">[docs]</a><span class="k">def</span> <span class="nf">partitioning</span><span class="p">(</span><span class="n">schema</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">field_names</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n [...]
<span class="sd">"""</span>
<span class="sd"> Specify a partitioning scheme.</span>
@@ -313,7 +343,7 @@
<span class="k">return</span> <span class="n">DirectoryPartitioning</span><span class="o">.</span><span class="n">discover</span><span class="p">(</span><span class="n">field_names</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
- <span class="s2">"Expected list of field names, got </span><span class="si">{0}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="s2">"Expected list of field names, got </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
<span class="nb">type</span><span class="p">(</span><span class="n">field_names</span><span class="p">)))</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
@@ -327,55 +357,20 @@
<span class="k">return</span> <span class="n">HivePartitioning</span><span class="p">(</span><span class="n">schema</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
- <span class="s2">"Expected Schema for 'schema', got </span><span class="si">{0}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="s2">"Expected Schema for 'schema', got </span><span class="si">{}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
<span class="nb">type</span><span class="p">(</span><span class="n">schema</span><span class="p">)))</span>
<span class="k">else</span><span class="p">:</span>
<span class="k">return</span> <span class="n">HivePartitioning</span><span class="o">.</span><span class="n">discover</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Unsupported flavor"</span><span class="p">)</span>
-
-
-<span class="k">def</span> <span class="nf">_ensure_fs</span><span class="p">(</span><span class="n">filesystem</span><span class="p">,</span> <span class="n">path</span><span class="p">):</span>
- <span class="c1"># Validate or infer the filesystem from the path</span>
- <span class="kn">from</span> <span class="nn">pyarrow.fs</span> <span class="kn">import</span> <span class="n">FileSystem</span><span class="p">,</span> <span class="n">LocalFileSystem</span>
-
- <span class="k">if</span> <span class="n">filesystem</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="k">try</span><span class="p">:</span>
- <span class="n">filesystem</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">FileSystem</span><span class="o">.</span><span class="n">from_uri</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
- <span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
- <span class="c1"># when path is not found, we fall back to local file system</span>
- <span class="n">filesystem</span> <span class="o">=</span> <span class="n">LocalFileSystem</span><span class="p">()</span>
- <span class="k">return</span> <span class="n">filesystem</span>
-
-
-<span class="k">def</span> <span class="nf">_ensure_fs_and_paths</span><span class="p">(</span><span class="n">path_or_paths</span><span class="p">,</span> <span class="n">filesystem</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
- <span class="c1"># Validate and convert the path-likes and filesystem.</span>
- <span class="c1"># Returns filesystem and list of string paths or FileSelector</span>
- <span class="kn">from</span> <span class="nn">pyarrow.fs</span> <span class="kn">import</span> <span class="n">FileType</span><span class="p">,</span> <span class="n">FileSelector</span>
-
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">path_or_paths</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">paths_or_selector</span> <span class="o">=</span> <span class="p">[</span><span class="n">_stringify_path</span><span class="p">(</span><span class="n">path</span><span class="p">)</span> <span class="k">for</span> <span class="n">path</span> <span class="ow">in</span> <span class="n">path_or_paths</span><span class="p">]</span>
- <span class="c1"># infer from first path</span>
- <span class="n">filesystem</span> <span class="o">=</span> <span class="n">_ensure_fs</span><span class="p">(</span><span class="n">filesystem</span><span class="p">,</span> <span class="n">paths_or_selector</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">path</span> <span class="o">=</span> <span class="n">_stringify_path</span><span class="p">(</span><span class="n">path_or_paths</span><span class="p">)</span>
- <span class="n">filesystem</span> <span class="o">=</span> <span class="n">_ensure_fs</span><span class="p">(</span><span class="n">filesystem</span><span class="p">,</span> <span class="n">path</span><span class="p">)</span>
- <span class="n">stats</span> <span class="o">=</span> <span class="n">filesystem</span><span class="o">.</span><span class="n">get_target_stats</span><span class="p">([</span><span class="n">path</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
- <span class="k">if</span> <span class="n">stats</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="n">FileType</span><span class="o">.</span><span class="n">Directory</span><span class="p">:</span>
- <span class="c1"># for directory, pass a selector</span>
- <span class="n">paths_or_selector</span> <span class="o">=</span> <span class="n">FileSelector</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">recursive</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
- <span class="k">elif</span> <span class="n">stats</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="n">FileType</span><span class="o">.</span><span class="n">File</span><span class="p">:</span>
- <span class="c1"># for a single file path, pass it as a list</span>
- <span class="n">paths_or_selector</span> <span class="o">=</span> <span class="p">[</span><span class="n">path</span><span class="p">]</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
-
- <span class="k">return</span> <span class="n">filesystem</span><span class="p">,</span> <span class="n">paths_or_selector</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Unsupported flavor"</span><span class="p">)</span></div>
<span class="k">def</span> <span class="nf">_ensure_partitioning</span><span class="p">(</span><span class="n">scheme</span><span class="p">):</span>
- <span class="c1"># Validate input and return a Partitioning(Factory) or passthrough None</span>
- <span class="c1"># for no partitioning</span>
+ <span class="sd">"""</span>
+<span class="sd"> Validate input and return a Partitioning(Factory).</span>
+
+<span class="sd"> It passes None through if no partitioning scheme is defiend.</span>
+<span class="sd"> """</span>
<span class="k">if</span> <span class="n">scheme</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
<span class="k">pass</span>
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">scheme</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
@@ -385,9 +380,8 @@
<span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">scheme</span><span class="p">,</span> <span class="p">(</span><span class="n">Partitioning</span><span class="p">,</span> <span class="n">PartitioningFactory</span><span class="p">)):</span>
<span class="k">pass</span>
<span class="k">else</span><span class="p">:</span>
- <span class="ne">ValueError</span><span class="p">(</span>
- <span class="s2">"Expected Partitioning or PartitioningFactory, got </span><span class="si">{0}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
- <span class="nb">type</span><span class="p">(</span><span class="n">scheme</span><span class="p">)))</span>
+ <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Expected Partitioning or PartitioningFactory, got </span><span class="si">{}</span><span class="s2">"</span>
+ <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">scheme</span><span class="p">)))</span>
<span class="k">return</span> <span class="n">scheme</span>
@@ -396,154 +390,412 @@
<span class="k">return</span> <span class="n">obj</span>
<span class="k">elif</span> <span class="n">obj</span> <span class="o">==</span> <span class="s2">"parquet"</span><span class="p">:</span>
<span class="k">return</span> <span class="n">ParquetFileFormat</span><span class="p">()</span>
+ <span class="k">elif</span> <span class="n">obj</span> <span class="ow">in</span> <span class="p">{</span><span class="s2">"ipc"</span><span class="p">,</span> <span class="s2">"arrow"</span><span class="p">,</span> <span class="s2">"feather"</span><span class="p">}:</span>
+ <span class="k">return</span> <span class="n">IpcFileFormat</span><span class="p">()</span>
<span class="k">else</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"format '</span><span class="si">{0}</span><span class="s2">' is not supported"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">obj</span><span class="p">))</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"format '</span><span class="si">{}</span><span class="s2">' is not supported"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">obj</span><span class="p">))</span>
+
+
+<span class="k">def</span> <span class="nf">_ensure_filesystem</span><span class="p">(</span><span class="n">fs_or_uri</span><span class="p">):</span>
+ <span class="kn">from</span> <span class="nn">pyarrow.fs</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">FileSystem</span><span class="p">,</span> <span class="n">LocalFileSystem</span><span class="p">,</span> <span class="n">SubTreeFileSystem</span><span class="p">,</span> <span class="n">FileType</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">fs_or_uri</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
+ <span class="c1"># instantiate the file system from an uri, if the uri has a path</span>
+ <span class="c1"># component then it will be treated as a path prefix</span>
+ <span class="n">filesystem</span><span class="p">,</span> <span class="n">prefix</span> <span class="o">=</span> <span class="n">FileSystem</span><span class="o">.</span><span class="n">from_uri</span><span class="p">(</span><span class="n">fs_or_uri</span><span class="p">)</span>
+ <span class="n">is_local</span> <span class="o">=</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">filesystem</span><span class="p">,</span> <span class="n">LocalFileSystem</span><span class="p">)</span>
+ <span class="n">prefix</span> <span class="o">=</span> <span class="n">_normalize_path</span><span class="p">(</span><span class="n">filesystem</span><span class="p">,</span> <span class="n">prefix</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">prefix</span><span class="p">:</span>
+ <span class="c1"># validate that the prefix is pointing to a directory</span>
+ <span class="n">prefix_info</span> <span class="o">=</span> <span class="n">filesystem</span><span class="o">.</span><span class="n">get_file_info</span><span class="p">([</span><span class="n">prefix</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">if</span> <span class="n">prefix_info</span><span class="o">.</span><span class="n">type</span> <span class="o">!=</span> <span class="n">FileType</span><span class="o">.</span><span class="n">Directory</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+ <span class="s2">"The path component of the filesystem URI must point to a "</span>
+ <span class="s2">"directory but it has a type: `</span><span class="si">{}</span><span class="s2">`. The path component "</span>
+ <span class="s2">"is `</span><span class="si">{}</span><span class="s2">` and the given filesystem URI is `</span><span class="si">{}</span><span class="s2">`"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
+ <span class="n">prefix_info</span><span class="o">.</span><span class="n">type</span><span class="o">.</span><span class="n">name</span><span class="p">,</span> <span class="n">prefix_info</span><span class="o">.</span><span class="n">path</span><span class="p">,</span> <span class="n">fs_or_uri</span>
+ <span class="p">)</span>
+ <span class="p">)</span>
+ <span class="n">filesystem</span> <span class="o">=</span> <span class="n">SubTreeFileSystem</span><span class="p">(</span><span class="n">prefix</span><span class="p">,</span> <span class="n">filesystem</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">filesystem</span><span class="p">,</span> <span class="n">is_local</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">fs_or_uri</span><span class="p">,</span> <span class="p">(</span><span class="n">LocalFileSystem</span><span class="p">,</span> <span class="n">_MockFileSystem</span><span class="p">)):</span>
+ <span class="k">return</span> <span class="n">fs_or_uri</span><span class="p">,</span> <span class="kc">True</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">fs_or_uri</span><span class="p">,</span> <span class="n">FileSystem</span><span class="p">):</span>
+ <span class="k">return</span> <span class="n">fs_or_uri</span><span class="p">,</span> <span class="kc">False</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span>
+ <span class="s1">'`filesystem` argument must be a FileSystem instance or a valid '</span>
+ <span class="s1">'file system URI'</span>
+ <span class="p">)</span>
-<span class="k">def</span> <span class="nf">source</span><span class="p">(</span><span class="n">path_or_paths</span><span class="p">,</span> <span class="n">filesystem</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">partitioning</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
- <span class="nb">format</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">_ensure_multiple_sources</span><span class="p">(</span><span class="n">paths</span><span class="p">,</span> <span class="n">filesystem</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">"""</span>
-<span class="sd"> Open a (multi-file) data source.</span>
+<span class="sd"> Treat a list of paths as files belonging to a single file system</span>
+
+<span class="sd"> If the file system is local then also validates that all paths</span>
+<span class="sd"> are referencing existing *files* otherwise any non-file paths will be</span>
+<span class="sd"> silently skipped (for example on a remote filesystem).</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
-<span class="sd"> path_or_paths : str, pathlib.Path, or list of those</span>
-<span class="sd"> Path to a file or to a directory containing the data files, or</span>
-<span class="sd"> a list of paths.</span>
-<span class="sd"> filesystem : FileSystem, default None</span>
-<span class="sd"> By default will be inferred from the path.</span>
-<span class="sd"> partitioning : Partitioning(Factory), str or list of str</span>
-<span class="sd"> The partitioning scheme specified with the ``partitioning()``</span>
-<span class="sd"> function. A flavor string can be used as shortcut, and with a list of</span>
-<span class="sd"> field names a DirectionaryPartitioning will be inferred.</span>
-<span class="sd"> format : str, default None</span>
-<span class="sd"> Currently only "parquet" is supported.</span>
+<span class="sd"> paths : list of path-like</span>
+<span class="sd"> Note that URIs are not allowed.</span>
+<span class="sd"> filesystem : FileSystem or str, optional</span>
+<span class="sd"> If an URI is passed, then its path component will act as a prefix for</span>
+<span class="sd"> the file paths.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
-<span class="sd"> DataSource of DataSourceDiscovery</span>
+<span class="sd"> (FileSystem, list of str)</span>
+<span class="sd"> File system object and a list of normalized paths.</span>
+
+<span class="sd"> Raises</span>
+<span class="sd"> ------</span>
+<span class="sd"> TypeError</span>
+<span class="sd"> If the passed filesystem has wrong type.</span>
+<span class="sd"> IOError</span>
+<span class="sd"> If the file system is local and a referenced path is not available or</span>
+<span class="sd"> not a file.</span>
+<span class="sd"> """</span>
+ <span class="kn">from</span> <span class="nn">pyarrow.fs</span> <span class="kn">import</span> <span class="n">LocalFileSystem</span><span class="p">,</span> <span class="n">FileType</span>
+
+ <span class="k">if</span> <span class="n">filesystem</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="c1"># fall back to local file system as the default</span>
+ <span class="n">filesystem</span> <span class="o">=</span> <span class="n">LocalFileSystem</span><span class="p">()</span>
+
+ <span class="c1"># construct a filesystem if it is a valid URI</span>
+ <span class="n">filesystem</span><span class="p">,</span> <span class="n">is_local</span> <span class="o">=</span> <span class="n">_ensure_filesystem</span><span class="p">(</span><span class="n">filesystem</span><span class="p">)</span>
+
+ <span class="c1"># allow normalizing irregular paths such as Windows local paths</span>
+ <span class="n">paths</span> <span class="o">=</span> <span class="p">[</span><span class="n">_normalize_path</span><span class="p">(</span><span class="n">filesystem</span><span class="p">,</span> <span class="n">_stringify_path</span><span class="p">(</span><span class="n">p</span><span class="p">))</span> <span class="k">for</span> <span class="n">p</span> <span class="ow">in</span> <span class="n">paths</span><span class="p">]</span>
+
+ <span class="c1"># validate that all of the paths are pointing to existing *files*</span>
+ <span class="c1"># possible improvement is to group the file_infos by type and raise for</span>
+ <span class="c1"># multiple paths per error category</span>
+ <span class="k">if</span> <span class="n">is_local</span><span class="p">:</span>
+ <span class="k">for</span> <span class="n">info</span> <span class="ow">in</span> <span class="n">filesystem</span><span class="o">.</span><span class="n">get_file_info</span><span class="p">(</span><span class="n">paths</span><span class="p">):</span>
+ <span class="n">file_type</span> <span class="o">=</span> <span class="n">info</span><span class="o">.</span><span class="n">type</span>
+ <span class="k">if</span> <span class="n">file_type</span> <span class="o">==</span> <span class="n">FileType</span><span class="o">.</span><span class="n">File</span><span class="p">:</span>
+ <span class="k">continue</span>
+ <span class="k">elif</span> <span class="n">file_type</span> <span class="o">==</span> <span class="n">FileType</span><span class="o">.</span><span class="n">NotFound</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="n">info</span><span class="o">.</span><span class="n">path</span><span class="p">)</span>
+ <span class="k">elif</span> <span class="n">file_type</span> <span class="o">==</span> <span class="n">FileType</span><span class="o">.</span><span class="n">Directory</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">IsADirectoryError</span><span class="p">(</span>
+ <span class="s1">'Path </span><span class="si">{}</span><span class="s1"> points to a directory, but only file paths are '</span>
+ <span class="s1">'supported. To construct a nested or union dataset pass '</span>
+ <span class="s1">'a list of dataset objects instead.'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">info</span><span class="o">.</span><span class="n">path</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">IOError</span><span class="p">(</span>
+ <span class="s1">'Path </span><span class="si">{}</span><span class="s1"> exists but its type is unknown (could be a '</span>
+ <span class="s1">'special file such as a Unix socket or character device, '</span>
+ <span class="s1">'or Windows NUL / CON / ...)'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">info</span><span class="o">.</span><span class="n">path</span><span class="p">)</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">filesystem</span><span class="p">,</span> <span class="n">paths</span>
+
+
+<span class="k">def</span> <span class="nf">_ensure_single_source</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">filesystem</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Treat path as either a recursively traversable directory or a single file.</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> path : path-like</span>
+<span class="sd"> filesystem : FileSystem or str, optional</span>
+<span class="sd"> If an URI is passed, then its path component will act as a prefix for</span>
+<span class="sd"> the file paths.</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> (FileSystem, list of str or fs.Selector)</span>
+<span class="sd"> File system object and either a single item list pointing to a file or</span>
+<span class="sd"> an fs.Selector object pointing to a directory.</span>
+
+<span class="sd"> Raises</span>
+<span class="sd"> ------</span>
+<span class="sd"> TypeError</span>
+<span class="sd"> If the passed filesystem has wrong type.</span>
+<span class="sd"> FileNotFoundError</span>
+<span class="sd"> If the referenced file or directory doesn't exist.</span>
+<span class="sd"> """</span>
+ <span class="kn">from</span> <span class="nn">pyarrow.fs</span> <span class="kn">import</span> <span class="n">FileSystem</span><span class="p">,</span> <span class="n">LocalFileSystem</span><span class="p">,</span> <span class="n">FileType</span><span class="p">,</span> <span class="n">FileSelector</span>
+ <span class="n">path</span> <span class="o">=</span> <span class="n">_stringify_path</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
+
+ <span class="c1"># if filesystem is not given try to automatically determine one</span>
+ <span class="c1"># first check if the file exists as a local (relative) file path</span>
+ <span class="c1"># if not then try to parse the path as an URI</span>
+ <span class="n">file_info</span> <span class="o">=</span> <span class="kc">None</span>
+ <span class="k">if</span> <span class="n">filesystem</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="n">filesystem</span> <span class="o">=</span> <span class="n">LocalFileSystem</span><span class="p">()</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">file_info</span> <span class="o">=</span> <span class="n">filesystem</span><span class="o">.</span><span class="n">get_file_info</span><span class="p">([</span><span class="n">path</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">except</span> <span class="ne">OSError</span><span class="p">:</span>
+ <span class="n">file_info</span> <span class="o">=</span> <span class="kc">None</span>
+ <span class="n">exists_locally</span> <span class="o">=</span> <span class="kc">False</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">exists_locally</span> <span class="o">=</span> <span class="p">(</span><span class="n">file_info</span><span class="o">.</span><span class="n">type</span> <span class="o">!=</span> <span class="n">FileType</span><span class="o">.</span><span class="n">NotFound</span><span class="p">)</span>
+
+ <span class="c1"># if the file or directory doesn't exists locally, then assume that</span>
+ <span class="c1"># the path is an URI describing the file system as well</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">exists_locally</span><span class="p">:</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">filesystem</span><span class="p">,</span> <span class="n">path</span> <span class="o">=</span> <span class="n">FileSystem</span><span class="o">.</span><span class="n">from_uri</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
+ <span class="k">except</span> <span class="ne">ValueError</span> <span class="k">as</span> <span class="n">e</span><span class="p">:</span>
+ <span class="c1"># ARROW-8213: neither an URI nor a locally existing path,</span>
+ <span class="c1"># so assume that local path was given and propagate a nicer</span>
+ <span class="c1"># file not found error instead of a more confusing scheme</span>
+ <span class="c1"># parsing error</span>
+ <span class="k">if</span> <span class="s2">"empty scheme"</span> <span class="ow">not</span> <span class="ow">in</span> <span class="nb">str</span><span class="p">(</span><span class="n">e</span><span class="p">):</span>
+ <span class="k">raise</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># unset file_info to query it again from the new filesystem</span>
+ <span class="n">file_info</span> <span class="o">=</span> <span class="kc">None</span>
+
+ <span class="c1"># construct a filesystem if it is a valid URI</span>
+ <span class="n">filesystem</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">_ensure_filesystem</span><span class="p">(</span><span class="n">filesystem</span><span class="p">)</span>
+
+ <span class="c1"># ensure that the path is normalized before passing to dataset discovery</span>
+ <span class="n">path</span> <span class="o">=</span> <span class="n">_normalize_path</span><span class="p">(</span><span class="n">filesystem</span><span class="p">,</span> <span class="n">path</span><span class="p">)</span>
+
+ <span class="c1"># retrieve the file descriptor</span>
+ <span class="k">if</span> <span class="n">file_info</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="n">file_info</span> <span class="o">=</span> <span class="n">filesystem</span><span class="o">.</span><span class="n">get_file_info</span><span class="p">([</span><span class="n">path</span><span class="p">])[</span><span class="mi">0</span><span class="p">]</span>
+
+ <span class="c1"># depending on the path type either return with a recursive</span>
+ <span class="c1"># directory selector or as a list containing a single file</span>
+ <span class="k">if</span> <span class="n">file_info</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="n">FileType</span><span class="o">.</span><span class="n">Directory</span><span class="p">:</span>
+ <span class="n">paths_or_selector</span> <span class="o">=</span> <span class="n">FileSelector</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">recursive</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+ <span class="k">elif</span> <span class="n">file_info</span><span class="o">.</span><span class="n">type</span> <span class="o">==</span> <span class="n">FileType</span><span class="o">.</span><span class="n">File</span><span class="p">:</span>
+ <span class="n">paths_or_selector</span> <span class="o">=</span> <span class="p">[</span><span class="n">path</span><span class="p">]</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">FileNotFoundError</span><span class="p">(</span><span class="n">path</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">filesystem</span><span class="p">,</span> <span class="n">paths_or_selector</span>
+
+
+<span class="k">def</span> <span class="nf">_filesystem_dataset</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">schema</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">filesystem</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+ <span class="n">partitioning</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+ <span class="n">partition_base_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">exclude_invalid_files</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+ <span class="n">selector_ignore_prefixes</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+ <span class="sd">"""</span>
+<span class="sd"> Create a FileSystemDataset which can be used to build a Dataset.</span>
+
+<span class="sd"> Parameters are documented in the dataset function.</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> FileSystemDataset</span>
<span class="sd"> """</span>
- <span class="n">fs</span><span class="p">,</span> <span class="n">paths_or_selector</span> <span class="o">=</span> <span class="n">_ensure_fs_and_paths</span><span class="p">(</span><span class="n">path_or_paths</span><span class="p">,</span> <span class="n">filesystem</span><span class="p">)</span>
+ <span class="nb">format</span> <span class="o">=</span> <span class="n">_ensure_format</span><span class="p">(</span><span class="nb">format</span> <span class="ow">or</span> <span class="s1">'parquet'</span><span class="p">)</span>
<span class="n">partitioning</span> <span class="o">=</span> <span class="n">_ensure_partitioning</span><span class="p">(</span><span class="n">partitioning</span><span class="p">)</span>
- <span class="nb">format</span> <span class="o">=</span> <span class="n">_ensure_format</span><span class="p">(</span><span class="nb">format</span> <span class="ow">or</span> <span class="s2">"parquet"</span><span class="p">)</span>
-
- <span class="c1"># TODO pass through options</span>
- <span class="n">options</span> <span class="o">=</span> <span class="n">FileSystemFactoryOptions</span><span class="p">()</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">partitioning</span><span class="p">,</span> <span class="n">PartitioningFactory</span><span class="p">):</span>
- <span class="n">options</span><span class="o">.</span><span class="n">partitioning_factory</span> <span class="o">=</span> <span class="n">partitioning</span>
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">partitioning</span><span class="p">,</span> <span class="n">Partitioning</span><span class="p">):</span>
- <span class="n">options</span><span class="o">.</span><span class="n">partitioning</span> <span class="o">=</span> <span class="n">partitioning</span>
-
- <span class="k">return</span> <span class="n">FileSystemSourceFactory</span><span class="p">(</span><span class="n">fs</span><span class="p">,</span> <span class="n">paths_or_selector</span><span class="p">,</span> <span class="nb">format</span><span class="p">,</span> <span class="n">options</span><span class="p">)</span>
-
-
-<span class="k">def</span> <span class="nf">_ensure_source</span><span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
- <span class="c1"># Need to return SourceFactory since `dataset` might need to finish the</span>
- <span class="c1"># factory with a unified schema.</span>
- <span class="c1"># TODO: return Source if a specific schema was passed?</span>
- <span class="k">if</span> <span class="n">_is_path_like</span><span class="p">(</span><span class="n">src</span><span class="p">):</span>
- <span class="k">return</span> <span class="n">source</span><span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="n">SourceFactory</span><span class="p">):</span>
- <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">v</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">values</span><span class="p">()):</span>
- <span class="c1"># when passing a SourceFactory, the arguments cannot be specified</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
- <span class="s2">"When passing a Source(Factory), you cannot pass any "</span>
- <span class="s2">"additional arguments"</span>
- <span class="p">)</span>
- <span class="k">return</span> <span class="n">src</span>
- <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="n">Source</span><span class="p">):</span>
- <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span>
- <span class="s2">"Source objects are currently not supported, only SourceFactory "</span>
- <span class="s2">"instances. Use the source() function to create such objects."</span>
- <span class="p">)</span>
+
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="p">(</span><span class="nb">list</span><span class="p">,</span> <span class="nb">tuple</span><span class="p">)):</span>
+ <span class="n">fs</span><span class="p">,</span> <span class="n">paths_or_selector</span> <span class="o">=</span> <span class="n">_ensure_multiple_sources</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">filesystem</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span>
- <span class="s2">"Expected a path-like or Source, got </span><span class="si">{0}</span><span class="s2">"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">src</span><span class="p">))</span>
+ <span class="n">fs</span><span class="p">,</span> <span class="n">paths_or_selector</span> <span class="o">=</span> <span class="n">_ensure_single_source</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">filesystem</span><span class="p">)</span>
+
+ <span class="n">options</span> <span class="o">=</span> <span class="n">FileSystemFactoryOptions</span><span class="p">(</span>
+ <span class="n">partitioning</span><span class="o">=</span><span class="n">partitioning</span><span class="p">,</span>
+ <span class="n">partition_base_dir</span><span class="o">=</span><span class="n">partition_base_dir</span><span class="p">,</span>
+ <span class="n">exclude_invalid_files</span><span class="o">=</span><span class="n">exclude_invalid_files</span><span class="p">,</span>
+ <span class="n">selector_ignore_prefixes</span><span class="o">=</span><span class="n">selector_ignore_prefixes</span>
+ <span class="p">)</span>
+ <span class="n">factory</span> <span class="o">=</span> <span class="n">FileSystemDatasetFactory</span><span class="p">(</span><span class="n">fs</span><span class="p">,</span> <span class="n">paths_or_selector</span><span class="p">,</span> <span class="nb">format</span><span class="p">,</span> <span class="n">options</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">factory</span><span class="o">.</span><span class="n">finish</span><span class="p">(</span><span class="n">schema</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">_union_dataset</span><span class="p">(</span><span class="n">children</span><span class="p">,</span> <span class="n">schema</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
+ <span class="k">if</span> <span class="nb">any</span><span class="p">(</span><span class="n">v</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span> <span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">values</span><span class="p">()):</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span>
+ <span class="s2">"When passing a list of Datasets, you cannot pass any additional "</span>
+ <span class="s2">"arguments"</span>
<span class="p">)</span>
+ <span class="k">if</span> <span class="n">schema</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="c1"># unify the children datasets' schemas</span>
+ <span class="n">schema</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">unify_schemas</span><span class="p">([</span><span class="n">child</span><span class="o">.</span><span class="n">schema</span> <span class="k">for</span> <span class="n">child</span> <span class="ow">in</span> <span class="n">children</span><span class="p">])</span>
+
+ <span class="c1"># create datasets with the requested schema</span>
+ <span class="n">children</span> <span class="o">=</span> <span class="p">[</span><span class="n">child</span><span class="o">.</span><span class="n">replace_schema</span><span class="p">(</span><span class="n">schema</span><span class="p">)</span> <span class="k">for</span> <span class="n">child</span> <span class="ow">in</span> <span class="n">children</span><span class="p">]</span>
+
+ <span class="k">return</span> <span class="n">UnionDataset</span><span class="p">(</span><span class="n">schema</span><span class="p">,</span> <span class="n">children</span><span class="p">)</span>
-<span class="k">def</span> <span class="nf">dataset</span><span class="p">(</span><span class="n">sources</span><span class="p">,</span> <span class="n">filesystem</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">partitioning</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+
+<div class="viewcode-block" id="dataset"><a class="viewcode-back" href="../../python/generated/pyarrow.dataset.Dataset.html#pyarrow.dataset.dataset">[docs]</a><span class="k">def</span> <span class="nf">dataset</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">schema</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="nb">format</span><span class="o">=</span><span class="kc">None</span><span cla [...]
+ <span class="n">partitioning</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">partition_base_dir</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span>
+ <span class="n">exclude_invalid_files</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">ignore_prefixes</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
<span class="sd">"""</span>
-<span class="sd"> Open a (multi-source) dataset.</span>
+<span class="sd"> Open a dataset.</span>
+
+<span class="sd"> Datasets provides functionality to efficiently work with tabular,</span>
+<span class="sd"> potentially larger than memory and multi-file dataset.</span>
+
+<span class="sd"> - A unified interface for different sources, like Parquet and Feather</span>
+<span class="sd"> - Discovery of sources (crawling directories, handle directory-based</span>
+<span class="sd"> partitioned datasets, basic schema normalization)</span>
+<span class="sd"> - Optimized reading with predicate pushdown (filtering rows), projection</span>
+<span class="sd"> (selecting columns), parallel reading or fine-grained managing of tasks.</span>
+
+<span class="sd"> Note that this is the high-level API, to have more control over the dataset</span>
+<span class="sd"> construction use the low-level API classes (FileSystemDataset,</span>
+<span class="sd"> FilesystemDatasetFactory, etc.)</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
-<span class="sd"> sources : path or list of paths or source or list of sources</span>
-<span class="sd"> Path to a file or to a directory containing the data files, or a list</span>
-<span class="sd"> of paths for a multi-source dataset. To have more control, a list of</span>
-<span class="sd"> sources can be passed, created with the ``source()`` function (in this</span>
-<span class="sd"> case, the additional keywords will be ignored).</span>
-<span class="sd"> filesystem : FileSystem, default None</span>
-<span class="sd"> By default will be inferred from the path.</span>
-<span class="sd"> partitioning : Partitioning(Factory), str, list of str</span>
+<span class="sd"> source : path, list of paths, dataset, list of datasets or URI</span>
+<span class="sd"> Path pointing to a single file:</span>
+<span class="sd"> Open a FileSystemDataset from a single file.</span>
+<span class="sd"> Path pointing to a directory:</span>
+<span class="sd"> The directory gets discovered recursively according to a</span>
+<span class="sd"> partitioning scheme if given.</span>
+<span class="sd"> List of file paths:</span>
+<span class="sd"> Create a FileSystemDataset from explicitly given files. The files</span>
+<span class="sd"> must be located on the same filesystem given by the filesystem</span>
+<span class="sd"> parameter.</span>
+<span class="sd"> Note that in contrary of construction from a single file, passing</span>
+<span class="sd"> URIs as paths is not allowed.</span>
+<span class="sd"> List of datasets:</span>
+<span class="sd"> A nested UnionDataset gets constructed, it allows arbitrary</span>
+<span class="sd"> composition of other datasets.</span>
+<span class="sd"> Note that additional keyword arguments are not allowed.</span>
+<span class="sd"> schema : Schema, optional</span>
+<span class="sd"> Optionally provide the Schema for the Dataset, in which case it will</span>
+<span class="sd"> not be inferred from the source.</span>
+<span class="sd"> format : FileFormat or str</span>
+<span class="sd"> Currently "parquet" and "ipc"/"arrow"/"feather" are supported. For</span>
+<span class="sd"> Feather, only version 2 files are supported.</span>
+<span class="sd"> filesystem : FileSystem or URI string, default None</span>
+<span class="sd"> If a single path is given as source and filesystem is None, then the</span>
+<span class="sd"> filesystem will be inferred from the path.</span>
+<span class="sd"> If an URI string is passed, then a filesystem object is constructed</span>
+<span class="sd"> using the URI's optional path component as a directory prefix. See the</span>
+<span class="sd"> examples below.</span>
+<span class="sd"> Note that the URIs on Windows must follow 'file:///C:...' or</span>
+<span class="sd"> 'file:/C:...' patterns.</span>
+<span class="sd"> partitioning : Partitioning, PartitioningFactory, str, list of str</span>
<span class="sd"> The partitioning scheme specified with the ``partitioning()``</span>
<span class="sd"> function. A flavor string can be used as shortcut, and with a list of</span>
<span class="sd"> field names a DirectionaryPartitioning will be inferred.</span>
-<span class="sd"> format : str</span>
-<span class="sd"> Currently only "parquet" is supported.</span>
+<span class="sd"> partition_base_dir : str, optional</span>
+<span class="sd"> For the purposes of applying the partitioning, paths will be</span>
+<span class="sd"> stripped of the partition_base_dir. Files not matching the</span>
+<span class="sd"> partition_base_dir prefix will be skipped for partitioning discovery.</span>
+<span class="sd"> The ignored files will still be part of the Dataset, but will not</span>
+<span class="sd"> have partition information.</span>
+<span class="sd"> exclude_invalid_files : bool, optional (default True)</span>
+<span class="sd"> If True, invalid files will be excluded (file format specific check).</span>
+<span class="sd"> This will incur IO for each files in a serial and single threaded</span>
+<span class="sd"> fashion. Disabling this feature will skip the IO, but unsupported</span>
+<span class="sd"> files may be present in the Dataset (resulting in an error at scan</span>
+<span class="sd"> time).</span>
+<span class="sd"> ignore_prefixes : list, optional</span>
+<span class="sd"> Files matching one of those prefixes will be ignored by the</span>
+<span class="sd"> discovery process. This is matched to the basename of a path.</span>
+<span class="sd"> By default this is ['.', '_'].</span>
+<span class="sd"> Note that discovery happens only if a directory is passed as source.</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
-<span class="sd"> Dataset</span>
+<span class="sd"> dataset : Dataset</span>
+<span class="sd"> Either a FileSystemDataset or a UnionDataset depending on the source</span>
+<span class="sd"> parameter.</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
+<span class="sd"> Opening a single file:</span>
+
+<span class="sd"> >>> dataset("path/to/file.parquet", format="parquet")</span>
+
+<span class="sd"> Opening a single file with an explicit schema:</span>
+
+<span class="sd"> >>> dataset("path/to/file.parquet", schema=myschema, format="parquet")</span>
+
<span class="sd"> Opening a dataset for a single directory:</span>
<span class="sd"> >>> dataset("path/to/nyc-taxi/", format="parquet")</span>
+<span class="sd"> >>> dataset("s3://mybucket/nyc-taxi/", format="parquet")</span>
-<span class="sd"> Combining different sources:</span>
+<span class="sd"> Opening a dataset from a list of relatives local paths:</span>
<span class="sd"> >>> dataset([</span>
-<span class="sd"> ... source("s3://old-taxi-data", format="parquet"),</span>
-<span class="sd"> ... source("local/path/to/new/data", format="csv")</span>
-<span class="sd"> ... ])</span>
+<span class="sd"> ... "part0/data.parquet",</span>
+<span class="sd"> ... "part1/data.parquet",</span>
+<span class="sd"> ... "part3/data.parquet",</span>
+<span class="sd"> ... ], format='parquet')</span>
-<span class="sd"> """</span>
- <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">sources</span><span class="p">,</span> <span class="nb">list</span><span class="p">):</span>
- <span class="n">sources</span> <span class="o">=</span> <span class="p">[</span><span class="n">sources</span><span class="p">]</span>
+<span class="sd"> With filesystem provided:</span>
- <span class="n">sources</span> <span class="o">=</span> <span class="p">[</span>
- <span class="n">_ensure_source</span><span class="p">(</span><span class="n">src</span><span class="p">,</span> <span class="n">filesystem</span><span class="o">=</span><span class="n">filesystem</span><span class="p">,</span> <span class="n">partitioning</span><span class="o">=</span><span class="n">partitioning</span><span class="p">,</span>
- <span class="nb">format</span><span class="o">=</span><span class="nb">format</span><span class="p">)</span>
- <span class="k">for</span> <span class="n">src</span> <span class="ow">in</span> <span class="n">sources</span>
- <span class="p">]</span>
- <span class="k">return</span> <span class="n">DatasetFactory</span><span class="p">(</span><span class="n">sources</span><span class="p">)</span><span class="o">.</span><span class="n">finish</span><span class="p">()</span>
+<span class="sd"> >>> paths = [</span>
+<span class="sd"> ... 'part0/data.parquet',</span>
+<span class="sd"> ... 'part1/data.parquet',</span>
+<span class="sd"> ... 'part3/data.parquet',</span>
+<span class="sd"> ... ]</span>
+<span class="sd"> >>> dataset(paths, filesystem='file:///directory/prefix, format='parquet')</span>
+<span class="sd"> Which is equivalent with:</span>
-<div class="viewcode-block" id="field"><a class="viewcode-back" href="../../python/generated/pyarrow.dataset.field.html#pyarrow.dataset.field">[docs]</a><span class="k">def</span> <span class="nf">field</span><span class="p">(</span><span class="n">name</span><span class="p">):</span>
- <span class="sd">"""References a named column of the dataset.</span>
+<span class="sd"> >>> fs = SubTreeFileSystem("/directory/prefix", LocalFileSystem())</span>
+<span class="sd"> >>> dataset(paths, filesystem=fs, format='parquet')</span>
-<span class="sd"> Stores only the field's name. Type and other information is known only when</span>
-<span class="sd"> the expression is applied on a dataset having an explicit scheme.</span>
+<span class="sd"> With a remote filesystem URI:</span>
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> name : string</span>
-<span class="sd"> The name of the field the expression references to.</span>
+<span class="sd"> >>> paths = [</span>
+<span class="sd"> ... 'nested/directory/part0/data.parquet',</span>
+<span class="sd"> ... 'nested/directory/part1/data.parquet',</span>
+<span class="sd"> ... 'nested/directory/part3/data.parquet',</span>
+<span class="sd"> ... ]</span>
+<span class="sd"> >>> dataset(paths, filesystem='s3://bucket/', format='parquet')</span>
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> field_expr : FieldExpression</span>
-<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">FieldExpression</span><span class="p">(</span><span class="n">name</span><span class="p">)</span></div>
+<span class="sd"> Similarly to the local example, the directory prefix may be included in the</span>
+<span class="sd"> filesystem URI:</span>
+<span class="sd"> >>> dataset(paths, filesystem='s3://bucket/nested/directory',</span>
+<span class="sd"> ... format='parquet')</span>
-<div class="viewcode-block" id="scalar"><a class="viewcode-back" href="../../python/generated/pyarrow.dataset.scalar.html#pyarrow.dataset.scalar">[docs]</a><span class="k">def</span> <span class="nf">scalar</span><span class="p">(</span><span class="n">value</span><span class="p">):</span>
- <span class="sd">"""Expression representing a scalar value.</span>
+<span class="sd"> Construction of a nested dataset:</span>
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> value : bool, int, float or string</span>
-<span class="sd"> Python value of the scalar. Note that only a subset of types are</span>
-<span class="sd"> currently supported.</span>
-
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> scalar_expr : ScalarExpression</span>
+<span class="sd"> >>> dataset([</span>
+<span class="sd"> ... dataset("s3://old-taxi-data", format="parquet"),</span>
+<span class="sd"> ... dataset("local/path/to/data", format="ipc")</span>
+<span class="sd"> ... ])</span>
<span class="sd"> """</span>
- <span class="k">return</span> <span class="n">ScalarExpression</span><span class="p">(</span><span class="n">value</span><span class="p">)</span></div>
+ <span class="c1"># collect the keyword arguments for later reuse</span>
+ <span class="n">kwargs</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span>
+ <span class="n">schema</span><span class="o">=</span><span class="n">schema</span><span class="p">,</span>
+ <span class="n">filesystem</span><span class="o">=</span><span class="n">filesystem</span><span class="p">,</span>
+ <span class="n">partitioning</span><span class="o">=</span><span class="n">partitioning</span><span class="p">,</span>
+ <span class="nb">format</span><span class="o">=</span><span class="nb">format</span><span class="p">,</span>
+ <span class="n">partition_base_dir</span><span class="o">=</span><span class="n">partition_base_dir</span><span class="p">,</span>
+ <span class="n">exclude_invalid_files</span><span class="o">=</span><span class="n">exclude_invalid_files</span><span class="p">,</span>
+ <span class="n">selector_ignore_prefixes</span><span class="o">=</span><span class="n">ignore_prefixes</span>
+ <span class="p">)</span>
+
+ <span class="c1"># TODO(kszucs): support InMemoryDataset for a table input</span>
+ <span class="k">if</span> <span class="n">_is_path_like</span><span class="p">(</span><span class="n">source</span><span class="p">):</span>
+ <span class="k">return</span> <span class="n">_filesystem_dataset</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="p">(</span><span class="nb">tuple</span><span class="p">,</span> <span class="nb">list</span><span class="p">)):</span>
+ <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="n">_is_path_like</span><span class="p">(</span><span class="n">elem</span><span class="p">)</span> <span class="k">for</span> <span class="n">elem</span> <span class="ow">in</span> <span class="n">source</span><span class="p">):</span>
+ <span class="k">return</span> <span class="n">_filesystem_dataset</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+ <span class="k">elif</span> <span class="nb">all</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">elem</span><span class="p">,</span> <span class="n">Dataset</span><span class="p">)</span> <span class="k">for</span> <span class="n">elem</span> <span class="ow">in</span> <span class="n">source</span><span class="p">):</span>
+ <span class="k">return</span> <span class="n">_union_dataset</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">unique_types</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">elem</span><span class="p">)</span><span class="o">.</span><span class="vm">__name__</span> <span class="k">for</span> <span class="n">elem</span> <span class="ow">in</span> <span class="n">source</span><span class="p">)</span>
+ <span class="n">type_names</span> <span class="o">=</span> <span class="s1">', '</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s1">'</span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">t</span><span class="p">)</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">uniqu [...]
+ <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span>
+ <span class="s1">'Expected a list of path-like or dataset objects. The given '</span>
+ <span class="s1">'list contains the following types: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">type_names</span><span class="p">)</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span>
+ <span class="s1">'Expected a path-like, list of path-likes or a list of Datasets '</span>
+ <span class="s1">'instead of the given type: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">type</span><span class="p">(</span><span class="n">source</span><span class="p">)</span><span class="o">.</span><span class="vm">__name__</span><span class="p">)</span>
+ <span class="p">)</span></div>
</pre></div>
</div>
diff --git a/docs/_modules/pyarrow/feather.html b/docs/_modules/pyarrow/feather.html
index c84a537..d40376b 100644
--- a/docs/_modules/pyarrow/feather.html
+++ b/docs/_modules/pyarrow/feather.html
@@ -9,7 +9,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>pyarrow.feather — Apache Arrow v0.16.1.dev0+g729a7689f.d20200211</title>
+ <title>pyarrow.feather — Apache Arrow v0.17.0</title>
@@ -59,7 +59,7 @@
<div class="version">
- 0.16.1.dev0+g729a7689f.d20200211
+ 0.17.0
</div>
@@ -83,25 +83,23 @@
- <ul>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Guidelines.html">Implementation Guidelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Layout.html">Physical Memory Layout</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/IPC.html">IPC</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Metadata.html">Format Metadata</a></li>
-</ul>
-<p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
+ <p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../format/Versioning.html">Format Versioning and Stability</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../format/Columnar.html">Arrow Columnar Format</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../format/Flight.html">Arrow Flight RPC</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../format/Integration.html">Integration Testing</a></li>
+<li class="toctree-l1"><a class="reference internal" href="../../format/CDataInterface.html">The Arrow C data interface</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../format/Other.html">Other Data Structures</a></li>
</ul>
<p class="caption"><span class="caption-text">Arrow Libraries</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../cpp/index.html">C++ Implementation</a></li>
<li class="toctree-l1"><a class="reference internal" href="../../python/index.html">Python bindings</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../java/index.html">Java Implementation</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/java/">Java</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/c_glib/">C GLib</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/js/">JavaScript</a></li>
+<li class="toctree-l1"><a class="reference external" href="https://arrow.apache.org/docs/r/">R</a></li>
</ul>
<p class="caption"><span class="caption-text">Development and Contributing</span></p>
<ul>
@@ -194,12 +192,9 @@
<span class="c1"># specific language governing permissions and limitations</span>
<span class="c1"># under the License.</span>
-<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">absolute_import</span>
<span class="kn">import</span> <span class="nn">os</span>
-<span class="kn">import</span> <span class="nn">six</span>
-
<span class="kn">from</span> <span class="nn">pyarrow.pandas_compat</span> <span class="kn">import</span> <span class="n">_pandas_api</span> <span class="c1"># noqa</span>
<span class="kn">from</span> <span class="nn">pyarrow.lib</span> <span class="kn">import</span> <span class="n">FeatherError</span> <span class="c1"># noqa</span>
<span class="kn">from</span> <span class="nn">pyarrow.lib</span> <span class="kn">import</span> <span class="n">Table</span><span class="p">,</span> <span class="n">concat_tables</span>
@@ -211,75 +206,7 @@
<span class="k">raise</span> <span class="ne">ImportError</span><span class="p">(</span><span class="s2">"feather requires pandas >= 0.17.0"</span><span class="p">)</span>
-<span class="k">class</span> <span class="nc">FeatherReader</span><span class="p">(</span><span class="n">ext</span><span class="o">.</span><span class="n">FeatherReader</span><span class="p">):</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">source</span><span class="p">):</span>
- <span class="n">_check_pandas_version</span><span class="p">()</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">source</span> <span class="o">=</span> <span class="n">source</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">source</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">read_table</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
- <span class="k">if</span> <span class="n">columns</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_read</span><span class="p">()</span>
- <span class="n">column_types</span> <span class="o">=</span> <span class="p">[</span><span class="nb">type</span><span class="p">(</span><span class="n">column</span><span class="p">)</span> <span class="k">for</span> <span class="n">column</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">]</span>
- <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">t</span><span class="p">:</span> <span class="n">t</span> <span class="o">==</span> <span class="nb">int</span><span class="p">,</span> <span class="n">column_types</span><span class="p">)):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_read_indices</span><span class="p">(</span><span class="n">columns</span><span class="p">)</span>
- <span class="k">elif</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">t</span><span class="p">:</span> <span class="n">t</span> <span class="o">==</span> <span class="nb">str</span><span class="p">,</span> <span class="n">column_types</span><span class="p">)):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">_read_names</span><span class="p">(</span><span class="n">columns</span><span class="p">)</span>
-
- <span class="n">column_type_names</span> <span class="o">=</span> <span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="vm">__name__</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">column_types</span><span class="p">]</span>
- <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"Columns must be indices or names. "</span>
- <span class="s2">"Got columns </span><span class="si">{}</span><span class="s2"> of types </span><span class="si">{}</span><span class="s2">"</span>
- <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">columns</span><span class="p">,</span> <span class="n">column_type_names</span><span class="p">))</span>
-
- <span class="k">def</span> <span class="nf">read_pandas</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">use_threads</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
- <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">read_table</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">)</span><span class="o">.</span><span class="n">to_pandas</span><span class="p">(</span>
- <span class="n">use_threads</span><span class="o">=</span><span class="n">use_threads</span><span class="p">)</span>
-
-
-<span class="k">def</span> <span class="nf">check_chunked_overflow</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">col</span><span class="p">):</span>
- <span class="k">if</span> <span class="n">col</span><span class="o">.</span><span class="n">num_chunks</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
- <span class="k">return</span>
-
- <span class="k">if</span> <span class="n">col</span><span class="o">.</span><span class="n">type</span> <span class="ow">in</span> <span class="p">(</span><span class="n">ext</span><span class="o">.</span><span class="n">binary</span><span class="p">(),</span> <span class="n">ext</span><span class="o">.</span><span class="n">string</span><span class="p">()):</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Column '</span><span class="si">{0}</span><span class="s2">' exceeds 2GB maximum capacity of "</span>
- <span class="s2">"a Feather binary column. This restriction may be "</span>
- <span class="s2">"lifted in the future"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">))</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="c1"># TODO(wesm): Not sure when else this might be reached</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Column '</span><span class="si">{0}</span><span class="s2">' of type </span><span class="si">{1}</span><span class="s2"> was chunked on conversion "</span>
- <span class="s2">"to Arrow and cannot be currently written to "</span>
- <span class="s2">"Feather format"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">col</span><span class="o">.</span><span class="n">type</span><span class="p">)))</span>
-
-
-<span class="k">class</span> <span class="nc">FeatherWriter</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
-
- <span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">dest</span><span class="p">):</span>
- <span class="n">_check_pandas_version</span><span class="p">()</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">dest</span> <span class="o">=</span> <span class="n">dest</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">writer</span> <span class="o">=</span> <span class="n">ext</span><span class="o">.</span><span class="n">FeatherWriter</span><span class="p">()</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">writer</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">dest</span><span class="p">)</span>
-
- <span class="k">def</span> <span class="nf">write</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">df</span><span class="p">):</span>
- <span class="k">if</span> <span class="p">(</span><span class="n">_pandas_api</span><span class="o">.</span><span class="n">has_sparse</span>
- <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">_pandas_api</span><span class="o">.</span><span class="n">pd</span><span class="o">.</span><span class="n">SparseDataFrame</span><span class="p">)):</span>
- <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">to_dense</span><span class="p">()</span>
-
- <span class="k">if</span> <span class="ow">not</span> <span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="o">.</span><span class="n">is_unique</span><span class="p">:</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"cannot serialize duplicate column names"</span><span class="p">)</span>
-
- <span class="c1"># TODO(wesm): Remove this length check, see ARROW-1732</span>
- <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">)</span> <span class="o">></span> <span class="mi">0</span><span class="p">:</span>
- <span class="n">table</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">preserve_index</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
- <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">name</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">table</span><span class="o">.</span><span class="n">schema</span><span class="o">.</span><span class="n">names</span><span class="p">):</span>
- <span class="n">col</span> <span class="o">=</span> <span class="n">table</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
- <span class="n">check_chunked_overflow</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">col</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">writer</span><span class="o">.</span><span class="n">write_array</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">col</span><span class="o">.</span><span class="n">chunk</span><span class="p">(</span><span class="mi">0</span><span class="p">))</span>
-
- <span class="bp">self</span><span class="o">.</span><span class="n">writer</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
-
-
-<span class="k">class</span> <span class="nc">FeatherDataset</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
+<span class="k">class</span> <span class="nc">FeatherDataset</span><span class="p">:</span>
<span class="sd">"""</span>
<span class="sd"> Encapsulates details of reading a list of Feather files.</span>
@@ -287,7 +214,7 @@
<span class="sd"> ----------</span>
<span class="sd"> path_or_paths : List[str]</span>
<span class="sd"> A list of file names</span>
-<span class="sd"> validate_schema : boolean, default True</span>
+<span class="sd"> validate_schema : bool, default True</span>
<span class="sd"> Check that individual file schemas are all the same / compatible</span>
<span class="sd"> """</span>
<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">path_or_paths</span><span class="p">,</span> <span class="n">validate_schema</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
@@ -309,21 +236,21 @@
<span class="sd"> pyarrow.Table</span>
<span class="sd"> Content of the file as a table (of columns)</span>
<span class="sd"> """</span>
- <span class="n">_fil</span> <span class="o">=</span> <span class="n">FeatherReader</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">paths</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">.</span><span class="n">read_table</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">)</span>
+ <span class="n">_fil</span> <span class="o">=</span> <span class="n">read_table</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">paths</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">_tables</span> <span class="o">=</span> <span class="p">[</span><span class="n">_fil</span><span class="p">]</span>
<span class="bp">self</span><span class="o">.</span><span class="n">schema</span> <span class="o">=</span> <span class="n">_fil</span><span class="o">.</span><span class="n">schema</span>
- <span class="k">for</span> <span class="n">fil</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">paths</span><span class="p">[</span><span class="mi">1</span><span class="p">:]:</span>
- <span class="n">fil_table</span> <span class="o">=</span> <span class="n">FeatherReader</span><span class="p">(</span><span class="n">fil</span><span class="p">)</span><span class="o">.</span><span class="n">read_table</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">)</span>
+ <span class="k">for</span> <span class="n">path</span> <span class="ow">in</span> <span class="bp">self</span><span class="o">.</span><span class="n">paths</span><span class="p">[</span><span class="mi">1</span><span class="p">:]:</span>
+ <span class="n">table</span> <span class="o">=</span> <span class="n">read_table</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">)</span>
<span class="k">if</span> <span class="bp">self</span><span class="o">.</span><span class="n">validate_schema</span><span class="p">:</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">validate_schemas</span><span class="p">(</span><span class="n">fil</span><span class="p">,</span> <span class="n">fil_table</span><span class="p">)</span>
- <span class="bp">self</span><span class="o">.</span><span class="n">_tables</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">fil_table</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">validate_schemas</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="n">table</span><span class="p">)</span>
+ <span class="bp">self</span><span class="o">.</span><span class="n">_tables</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">table</span><span class="p">)</span>
<span class="k">return</span> <span class="n">concat_tables</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">_tables</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">validate_schemas</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">piece</span><span class="p">,</span> <span class="n">table</span><span class="p">):</span>
<span class="k">if</span> <span class="ow">not</span> <span class="bp">self</span><span class="o">.</span><span class="n">schema</span><span class="o">.</span><span class="n">equals</span><span class="p">(</span><span class="n">table</span><span class="o">.</span><span class="n">schema</span><span class="p">):</span>
- <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Schema in </span><span class="si">{0!s}</span><span class="s1"> was different. </span><span class="se">\n</span><span class="s1">'</span>
- <span class="s1">'</span><span class="si">{1!s}</span><span class="se">\n\n</span><span class="s1">vs</span><span class="se">\n\n</span><span class="si">{2!s}</span><span class="s1">'</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'Schema in </span><span class="si">{!s}</span><span class="s1"> was different. </span><span class="se">\n</span><span class="s1">'</span>
+ <span class="s1">'</span><span class="si">{!s}</span><span class="se">\n\n</span><span class="s1">vs</span><span class="se">\n\n</span><span class="si">{!s}</span><span class="s1">'</span>
<span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">piece</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">schema</span><span class="p">,</span>
<span class="n">table</span><span class="o">.</span><span class="n">schema</span><span class="p">))</span>
@@ -335,7 +262,7 @@
<span class="sd"> ----------</span>
<span class="sd"> columns : List[str]</span>
<span class="sd"> Names of columns to read from the file</span>
-<span class="sd"> use_threads : boolean, default True</span>
+<span class="sd"> use_threads : bool, default True</span>
<span class="sd"> Use multiple threads when converting to pandas</span>
<span class="sd"> Returns</span>
@@ -347,25 +274,86 @@
<span class="n">use_threads</span><span class="o">=</span><span class="n">use_threads</span><span class="p">)</span>
-<div class="viewcode-block" id="write_feather"><a class="viewcode-back" href="../../python/generated/pyarrow.feather.write_feather.html#pyarrow.feather.write_feather">[docs]</a><span class="k">def</span> <span class="nf">write_feather</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">dest</span><span class="p">):</span>
+<span class="k">def</span> <span class="nf">check_chunked_overflow</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">col</span><span class="p">):</span>
+ <span class="k">if</span> <span class="n">col</span><span class="o">.</span><span class="n">num_chunks</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="k">return</span>
+
+ <span class="k">if</span> <span class="n">col</span><span class="o">.</span><span class="n">type</span> <span class="ow">in</span> <span class="p">(</span><span class="n">ext</span><span class="o">.</span><span class="n">binary</span><span class="p">(),</span> <span class="n">ext</span><span class="o">.</span><span class="n">string</span><span class="p">()):</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Column '</span><span class="si">{}</span><span class="s2">' exceeds 2GB maximum capacity of "</span>
+ <span class="s2">"a Feather binary column. This restriction may be "</span>
+ <span class="s2">"lifted in the future"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">))</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="c1"># TODO(wesm): Not sure when else this might be reached</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Column '</span><span class="si">{}</span><span class="s2">' of type </span><span class="si">{}</span><span class="s2"> was chunked on conversion "</span>
+ <span class="s2">"to Arrow and cannot be currently written to "</span>
+ <span class="s2">"Feather format"</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">col</span><span class="o">.</span><span class="n">type</span><span class="p">)))</span>
+
+
+<div class="viewcode-block" id="write_feather"><a class="viewcode-back" href="../../python/generated/pyarrow.feather.write_feather.html#pyarrow.feather.write_feather">[docs]</a><span class="k">def</span> <span class="nf">write_feather</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">dest</span><span class="p">,</span> <span class="n">compression</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n [...]
+ <span class="n">chunksize</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">version</span><span class="o">=</span><span class="mi">2</span><span class="p">):</span>
<span class="sd">"""</span>
-<span class="sd"> Write a pandas.DataFrame to Feather format</span>
+<span class="sd"> Write a pandas.DataFrame to Feather format.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
-<span class="sd"> df : pandas.DataFrame</span>
-<span class="sd"> dest : string</span>
-<span class="sd"> Local file path</span>
+<span class="sd"> df : pandas.DataFrame or pyarrow.Table</span>
+<span class="sd"> Data to write out as Feather format.</span>
+<span class="sd"> dest : str</span>
+<span class="sd"> Local destination path.</span>
+<span class="sd"> compression : string, default None</span>
+<span class="sd"> Can be one of {"zstd", "lz4", "uncompressed"}. The default of None uses</span>
+<span class="sd"> LZ4 for V2 files if it is available, otherwise uncompressed.</span>
+<span class="sd"> compression_level : int, default None</span>
+<span class="sd"> Use a compression level particular to the chosen compressor. If None</span>
+<span class="sd"> use the default compression level</span>
+<span class="sd"> chunksize : int, default None</span>
+<span class="sd"> For V2 files, the internal maximum size of Arrow RecordBatch chunks</span>
+<span class="sd"> when writing the Arrow IPC file format. None means use the default,</span>
+<span class="sd"> which is currently 64K</span>
+<span class="sd"> version : int, default 2</span>
+<span class="sd"> Feather file version. Version 2 is the current. Version 1 is the more</span>
+<span class="sd"> limited legacy format</span>
<span class="sd"> """</span>
- <span class="n">writer</span> <span class="o">=</span> <span class="n">FeatherWriter</span><span class="p">(</span><span class="n">dest</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">_pandas_api</span><span class="o">.</span><span class="n">have_pandas</span><span class="p">:</span>
+ <span class="n">_check_pandas_version</span><span class="p">()</span>
+ <span class="k">if</span> <span class="p">(</span><span class="n">_pandas_api</span><span class="o">.</span><span class="n">has_sparse</span>
+ <span class="ow">and</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">_pandas_api</span><span class="o">.</span><span class="n">pd</span><span class="o">.</span><span class="n">SparseDataFrame</span><span class="p">)):</span>
+ <span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">to_dense</span><span class="p">()</span>
+
+ <span class="k">if</span> <span class="n">_pandas_api</span><span class="o">.</span><span class="n">is_data_frame</span><span class="p">(</span><span class="n">df</span><span class="p">):</span>
+ <span class="n">table</span> <span class="o">=</span> <span class="n">Table</span><span class="o">.</span><span class="n">from_pandas</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">preserve_index</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">version</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="c1"># Version 1 does not chunking</span>
+ <span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">name</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">table</span><span class="o">.</span><span class="n">schema</span><span class="o">.</span><span class="n">names</span><span class="p">):</span>
+ <span class="n">col</span> <span class="o">=</span> <span class="n">table</span><span class="p">[</span><span class="n">i</span><span class="p">]</span>
+ <span class="n">check_chunked_overflow</span><span class="p">(</span><span class="n">name</span><span class="p">,</span> <span class="n">col</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">table</span> <span class="o">=</span> <span class="n">df</span>
+
+ <span class="k">if</span> <span class="n">version</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="k">if</span> <span class="nb">len</span><span class="p">(</span><span class="n">table</span><span class="o">.</span><span class="n">column_names</span><span class="p">)</span> <span class="o">></span> <span class="nb">len</span><span class="p">(</span><span class="nb">set</span><span class="p">(</span><span class="n">table</span><span class="o">.</span><span class="n">column_names</span><span class="p">)):</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"cannot serialize duplicate column names"</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">compression</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Feather V1 files do not support compression "</span>
+ <span class="s2">"option"</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">chunksize</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"Feather V1 files do not support chunksize "</span>
+ <span class="s2">"option"</span><span class="p">)</span>
+
+ <span class="n">supported_compression_options</span> <span class="o">=</span> <span class="p">(</span><span class="kc">None</span><span class="p">,</span> <span class="s1">'lz4'</span><span class="p">,</span> <span class="s1">'zstd'</span><span class="p">,</span> <span class="s1">'uncompressed'</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">compression</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">supported_compression_options</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s1">'compression="</span><span class="si">{}</span><span class="s1">" not supported, must be one of </span><span class="si">{}</span><span class="s1">'</span>
+ <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">compression</span><span class="p">,</span> <span class="n">supported_compression_options</span><span class="p">))</span>
+
<span class="k">try</span><span class="p">:</span>
- <span class="n">writer</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="n">df</span><span class="p">)</span>
+ <span class="n">ext</span><span class="o">.</span><span class="n">write_feather</span><span class="p">(</span><span class="n">table</span><span class="p">,</span> <span class="n">dest</span><span class="p">,</span> <span class="n">compression</span><span class="o">=</span><span class="n">compression</span><span class="p">,</span>
+ <span class="n">compression_level</span><span class="o">=</span><span class="n">compression_level</span><span class="p">,</span>
+ <span class="n">chunksize</span><span class="o">=</span><span class="n">chunksize</span><span class="p">,</span> <span class="n">version</span><span class="o">=</span><span class="n">version</span><span class="p">)</span>
<span class="k">except</span> <span class="ne">Exception</span><span class="p">:</span>
- <span class="c1"># Try to make sure the resource is closed</span>
- <span class="kn">import</span> <span class="nn">gc</span>
- <span class="n">writer</span> <span class="o">=</span> <span class="kc">None</span>
- <span class="n">gc</span><span class="o">.</span><span class="n">collect</span><span class="p">()</span>
- <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dest</span><span class="p">,</span> <span class="n">six</span><span class="o">.</span><span class="n">string_types</span><span class="p">):</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">dest</span><span class="p">,</span> <span class="nb">str</span><span class="p">):</span>
<span class="k">try</span><span class="p">:</span>
<span class="n">os</span><span class="o">.</span><span class="n">remove</span><span class="p">(</span><span class="n">dest</span><span class="p">)</span>
<span class="k">except</span> <span class="n">os</span><span class="o">.</span><span class="n">error</span><span class="p">:</span>
@@ -373,44 +361,64 @@
<span class="k">raise</span></div>
-<div class="viewcode-block" id="read_feather"><a class="viewcode-back" href="../../python/generated/pyarrow.feather.read_feather.html#pyarrow.feather.read_feather">[docs]</a><span class="k">def</span> <span class="nf">read_feather</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">use_threads</span><span class="o">=</span><span class= [...]
+<div class="viewcode-block" id="read_feather"><a class="viewcode-back" href="../../python/generated/pyarrow.feather.read_feather.html#pyarrow.feather.read_feather">[docs]</a><span class="k">def</span> <span class="nf">read_feather</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">use_threads</span><span class="o">=</span><span class= [...]
<span class="sd">"""</span>
-<span class="sd"> Read a pandas.DataFrame from Feather format</span>
+<span class="sd"> Read a pandas.DataFrame from Feather format. To read as pyarrow.Table use</span>
+<span class="sd"> feather.read_table.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
-<span class="sd"> source : string file path, or file-like object</span>
+<span class="sd"> source : str file path, or file-like object</span>
<span class="sd"> columns : sequence, optional</span>
<span class="sd"> Only read a specific set of columns. If not provided, all columns are</span>
-<span class="sd"> read</span>
+<span class="sd"> read.</span>
<span class="sd"> use_threads: bool, default True</span>
-<span class="sd"> Whether to parallelize reading using multiple threads</span>
+<span class="sd"> Whether to parallelize reading using multiple threads.</span>
+<span class="sd"> memory_map : boolean, default True</span>
+<span class="sd"> Use memory mapping when opening file on disk</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> df : pandas.DataFrame</span>
<span class="sd"> """</span>
- <span class="n">reader</span> <span class="o">=</span> <span class="n">FeatherReader</span><span class="p">(</span><span class="n">source</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">reader</span><span class="o">.</span><span class="n">read_pandas</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">,</span> <span class="n">use_threads</span><span class="o">=</span><span class="n">use_threads</span><span class="p">)</span></div>
+ <span class="n">_check_pandas_version</span><span class="p">()</span>
+ <span class="k">return</span> <span class="p">(</span><span class="n">read_table</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">,</span> <span class="n">memory_map</span><span class="o">=</span><span class="n">memory_map</span><span class="p">)</span>
+ <span class="o">.</span><span class="n">to_pandas</span><span class="p">(</span><span class="n">use_threads</span><span class="o">=</span><span class="n">use_threads</span><span class="p">))</span></div>
-<span class="k">def</span> <span class="nf">read_table</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">):</span>
+<div class="viewcode-block" id="read_table"><a class="viewcode-back" href="../../python/generated/pyarrow.feather.read_table.html#pyarrow.feather.read_table">[docs]</a><span class="k">def</span> <span class="nf">read_table</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="kc">None</span><span class="p">,</span> <span class="n">memory_map</span><span class="o">=</span><span class="kc">True [...]
<span class="sd">"""</span>
<span class="sd"> Read a pyarrow.Table from Feather format</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
-<span class="sd"> source : string file path, or file-like object</span>
+<span class="sd"> source : str file path, or file-like object</span>
<span class="sd"> columns : sequence, optional</span>
<span class="sd"> Only read a specific set of columns. If not provided, all columns are</span>
-<span class="sd"> read</span>
+<span class="sd"> read.</span>
+<span class="sd"> memory_map : boolean, default True</span>
+<span class="sd"> Use memory mapping when opening file on disk</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
<span class="sd"> table : pyarrow.Table</span>
<span class="sd"> """</span>
- <span class="n">reader</span> <span class="o">=</span> <span class="n">FeatherReader</span><span class="p">(</span><span class="n">source</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">reader</span><span class="o">.</span><span class="n">read_table</span><span class="p">(</span><span class="n">columns</span><span class="o">=</span><span class="n">columns</span><span class="p">)</span>
+ <span class="n">reader</span> <span class="o">=</span> <span class="n">ext</span><span class="o">.</span><span class="n">FeatherReader</span><span class="p">()</span>
+ <span class="n">reader</span><span class="o">.</span><span class="n">open</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">use_memory_map</span><span class="o">=</span><span class="n">memory_map</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">columns</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">reader</span><span class="o">.</span><span class="n">read</span><span class="p">()</span>
+
+ <span class="n">column_types</span> <span class="o">=</span> <span class="p">[</span><span class="nb">type</span><span class="p">(</span><span class="n">column</span><span class="p">)</span> <span class="k">for</span> <span class="n">column</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">]</span>
+ <span class="k">if</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">t</span><span class="p">:</span> <span class="n">t</span> <span class="o">==</span> <span class="nb">int</span><span class="p">,</span> <span class="n">column_types</span><span class="p">)):</span>
+ <span class="k">return</span> <span class="n">reader</span><span class="o">.</span><span class="n">read_indices</span><span class="p">(</span><span class="n">columns</span><span class="p">)</span>
+ <span class="k">elif</span> <span class="nb">all</span><span class="p">(</span><span class="nb">map</span><span class="p">(</span><span class="k">lambda</span> <span class="n">t</span><span class="p">:</span> <span class="n">t</span> <span class="o">==</span> <span class="nb">str</span><span class="p">,</span> <span class="n">column_types</span><span class="p">)):</span>
+ <span class="k">return</span> <span class="n">reader</span><span class="o">.</span><span class="n">read_names</span><span class="p">(</span><span class="n">columns</span><span class="p">)</span>
+
+ <span class="n">column_type_names</span> <span class="o">=</span> <span class="p">[</span><span class="n">t</span><span class="o">.</span><span class="vm">__name__</span> <span class="k">for</span> <span class="n">t</span> <span class="ow">in</span> <span class="n">column_types</span><span class="p">]</span>
+ <span class="k">raise</span> <span class="ne">TypeError</span><span class="p">(</span><span class="s2">"Columns must be indices or names. "</span>
+ <span class="s2">"Got columns </span><span class="si">{}</span><span class="s2"> of types </span><span class="si">{}</span><span class="s2">"</span>
+ <span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">columns</span><span class="p">,</span> <span class="n">column_type_names</span><span class="p">))</span></div>
</pre></div>
</div>
diff --git a/docs/_modules/pyarrow/filesystem.html b/docs/_modules/pyarrow/filesystem.html
index 49be60b..b41fb5d 100644
--- a/docs/_modules/pyarrow/filesystem.html
+++ b/docs/_modules/pyarrow/filesystem.html
@@ -9,7 +9,7 @@
<meta name="viewport" content="width=device-width, initial-scale=1.0">
- <title>pyarrow.filesystem — Apache Arrow v0.16.1.dev0+g729a7689f.d20200211</title>
+ <title>pyarrow.filesystem — Apache Arrow v0.17.0</title>
@@ -59,7 +59,7 @@
<div class="version">
- 0.16.1.dev0+g729a7689f.d20200211
+ 0.17.0
</div>
@@ -83,25 +83,23 @@
- <ul>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Guidelines.html">Implementation Guidelines</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Layout.html">Physical Memory Layout</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/IPC.html">IPC</a></li>
-<li class="toctree-l1"><a class="reference internal" href="../../format/Metadata.html">Format Metadata</a></li>
-</ul>
-<p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
+ <p class="caption"><span class="caption-text">Arrow Specifications and Protocols</span></p>
<ul>
<li class="toctree-l1"><a class="reference internal" href="../../format/Versioning.html">Format Versioning and Stability</a></li>
... 892905 lines suppressed ...