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Posted to commits@arrow.apache.org by gi...@apache.org on 2023/06/09 00:27:19 UTC
[arrow-site] branch asf-site updated: Updating dev docs (build nightly-tests-2023-06-08-0)
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The following commit(s) were added to refs/heads/asf-site by this push:
new 6f4c2d1e592 Updating dev docs (build nightly-tests-2023-06-08-0)
6f4c2d1e592 is described below
commit 6f4c2d1e5928fe34261cae01abb253de34526fdc
Author: github-actions[bot] <gi...@users.noreply.github.com>
AuthorDate: Fri Jun 9 00:26:59 2023 +0000
Updating dev docs (build nightly-tests-2023-06-08-0)
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.../complex/reader/class-use/FieldReader.html | 128 +--
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.../arrow/vector/complex/writer/UInt1Writer.html | 4 +-
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.../arrow/vector/complex/writer/UInt8Writer.html | 4 +-
.../vector/complex/writer/VarBinaryWriter.html | 4 +-
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.../writer/class-use/BaseWriter.MapWriter.html | 38 +-
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.../complex/writer/class-use/DateMilliWriter.html | 32 +-
.../complex/writer/class-use/Decimal256Writer.html | 40 +-
.../complex/writer/class-use/DecimalWriter.html | 42 +-
.../complex/writer/class-use/DurationWriter.html | 26 +-
.../complex/writer/class-use/FieldWriter.html | 80 +-
.../writer/class-use/FixedSizeBinaryWriter.html | 24 +-
.../complex/writer/class-use/Float4Writer.html | 36 +-
.../complex/writer/class-use/Float8Writer.html | 34 +-
.../vector/complex/writer/class-use/IntWriter.html | 36 +-
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.../class-use/IntervalMonthDayNanoWriter.html | 24 +-
.../writer/class-use/IntervalYearWriter.html | 30 +-
.../writer/class-use/LargeVarBinaryWriter.html | 32 +-
.../writer/class-use/LargeVarCharWriter.html | 30 +-
.../complex/writer/class-use/SmallIntWriter.html | 30 +-
.../complex/writer/class-use/TimeMicroWriter.html | 32 +-
.../complex/writer/class-use/TimeMilliWriter.html | 32 +-
.../complex/writer/class-use/TimeNanoWriter.html | 34 +-
.../complex/writer/class-use/TimeSecWriter.html | 28 +-
.../writer/class-use/TimeStampMicroTZWriter.html | 26 +-
.../writer/class-use/TimeStampMicroWriter.html | 34 +-
.../writer/class-use/TimeStampMilliTZWriter.html | 24 +-
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.../writer/class-use/TimeStampNanoTZWriter.html | 24 +-
.../writer/class-use/TimeStampNanoWriter.html | 30 +-
.../writer/class-use/TimeStampSecTZWriter.html | 26 +-
.../writer/class-use/TimeStampSecWriter.html | 28 +-
.../complex/writer/class-use/TinyIntWriter.html | 34 +-
.../complex/writer/class-use/UInt1Writer.html | 32 +-
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.../dev/python/generated/pyarrow.types.is_map.html | 9 +-
.../python/generated/pyarrow.types.is_nested.html | 9 +-
.../python/generated/pyarrow.types.is_null.html | 9 +-
.../pyarrow.types.is_run_end_encoded.html | 9 +-
.../generated/pyarrow.types.is_signed_integer.html | 9 +-
.../python/generated/pyarrow.types.is_string.html | 9 +-
.../python/generated/pyarrow.types.is_struct.html | 9 +-
.../generated/pyarrow.types.is_temporal.html | 9 +-
.../python/generated/pyarrow.types.is_time.html | 9 +-
.../python/generated/pyarrow.types.is_time32.html | 9 +-
.../python/generated/pyarrow.types.is_time64.html | 9 +-
.../generated/pyarrow.types.is_timestamp.html | 9 +-
.../python/generated/pyarrow.types.is_uint16.html | 9 +-
.../python/generated/pyarrow.types.is_uint32.html | 9 +-
.../python/generated/pyarrow.types.is_uint64.html | 9 +-
.../python/generated/pyarrow.types.is_uint8.html | 9 +-
.../python/generated/pyarrow.types.is_unicode.html | 9 +-
.../python/generated/pyarrow.types.is_union.html | 9 +-
.../pyarrow.types.is_unsigned_integer.html | 9 +-
docs/dev/python/generated/pyarrow.uint16.html | 9 +-
docs/dev/python/generated/pyarrow.uint32.html | 9 +-
docs/dev/python/generated/pyarrow.uint64.html | 9 +-
docs/dev/python/generated/pyarrow.uint8.html | 9 +-
.../python/generated/pyarrow.unify_schemas.html | 9 +-
.../pyarrow.unregister_extension_type.html | 9 +-
docs/dev/python/generated/pyarrow.utf8.html | 9 +-
docs/dev/python/getstarted.html | 16 +-
docs/dev/python/getting_involved.html | 14 +-
docs/dev/python/index.html | 19 +-
docs/dev/python/install.html | 14 +-
docs/dev/python/integration.html | 14 +-
docs/dev/python/integration/cuda.html | 14 +-
docs/dev/python/integration/extending.html | 14 +-
docs/dev/python/integration/python_java.html | 14 +-
docs/dev/python/integration/python_r.html | 14 +-
.../{json.html => interchange_protocol.html} | 222 ++--
docs/dev/python/ipc.html | 14 +-
docs/dev/python/json.html | 14 +-
docs/dev/python/memory.html | 22 +-
docs/dev/python/numpy.html | 14 +-
docs/dev/python/orc.html | 14 +-
docs/dev/python/pandas.html | 26 +-
docs/dev/python/parquet.html | 26 +-
docs/dev/python/timestamps.html | 20 +-
docs/dev/r/articles/data_objects.html | 48 +-
docs/dev/r/articles/data_wrangling.html | 31 +-
docs/dev/r/pkgdown.yml | 2 +-
docs/dev/r/reference/FileSystem.html | 13 +-
docs/dev/r/reference/call_function.html | 10 +-
docs/dev/r/reference/new_extension_type.html | 14 +-
docs/dev/r/reference/to_duckdb.html | 2 +-
docs/dev/r/search.json | 2 +-
docs/dev/search.html | 14 +-
docs/dev/searchindex.js | 2 +-
docs/dev/status.html | 14 +-
3591 files changed, 16750 insertions(+), 11066 deletions(-)
diff --git a/docs/dev/.buildinfo b/docs/dev/.buildinfo
index 9ab7eda8df7..8ac6df51d8d 100644
--- a/docs/dev/.buildinfo
+++ b/docs/dev/.buildinfo
@@ -1,4 +1,4 @@
# Sphinx build info version 1
# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 6c504a409f3ac5350db1eb29270733aa
+config: d96515f41cb2b108919c30c0582c5a9f
tags: 645f666f9bcd5a90fca523b33c5a78b7
diff --git a/docs/dev/_modules/collections/abc.html b/docs/dev/_modules/collections/abc.html
index 6f228e88b3a..da218347d04 100644
--- a/docs/dev/_modules/collections/abc.html
+++ b/docs/dev/_modules/collections/abc.html
@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>collections.abc — Apache Arrow v13.0.0.dev181</title>
+ <title>collections.abc — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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<div id="version-button" class="dropdown">
<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
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<div id="version_switcher" class="dropdown-menu list-group-flush py-0" aria-labelledby="version_switcher_button">
@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/importlib/_bootstrap.html b/docs/dev/_modules/importlib/_bootstrap.html
index 82ed5f1cc3a..c317d739c01 100644
--- a/docs/dev/_modules/importlib/_bootstrap.html
+++ b/docs/dev/_modules/importlib/_bootstrap.html
@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>importlib._bootstrap — Apache Arrow v13.0.0.dev181</title>
+ <title>importlib._bootstrap — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/index.html b/docs/dev/_modules/index.html
index 8728a1eed0a..2eeca3cbdc9 100644
--- a/docs/dev/_modules/index.html
+++ b/docs/dev/_modules/index.html
@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>Overview: module code — Apache Arrow v13.0.0.dev181</title>
+ <title>Overview: module code — Apache Arrow v13.0.0.dev193</title>
<link href="../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
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</button>
<div id="version_switcher" class="dropdown-menu list-group-flush py-0" aria-labelledby="version_switcher_button">
@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
@@ -4937,6 +4947,7 @@ function checkPageExistsAndRedirect(event) {
<li><a href="pyarrow/filesystem.html">pyarrow.filesystem</a></li>
<li><a href="pyarrow/fs.html">pyarrow.fs</a></li>
<li><a href="pyarrow/hdfs.html">pyarrow.hdfs</a></li>
+<li><a href="pyarrow/interchange/from_dataframe.html">pyarrow.interchange.from_dataframe</a></li>
<li><a href="pyarrow/ipc.html">pyarrow.ipc</a></li>
<li><a href="pyarrow/lib.html">pyarrow.lib</a></li>
<li><a href="pyarrow/orc.html">pyarrow.orc</a></li>
diff --git a/docs/dev/_modules/pyarrow.html b/docs/dev/_modules/pyarrow.html
index 8feed5a4425..622efe13a55 100644
--- a/docs/dev/_modules/pyarrow.html
+++ b/docs/dev/_modules/pyarrow.html
@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow — Apache Arrow v13.0.0.dev193</title>
<link href="../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
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@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/pyarrow/compute.html b/docs/dev/_modules/pyarrow/compute.html
index e426cf76b3c..9a91e77784d 100644
--- a/docs/dev/_modules/pyarrow/compute.html
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@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow.compute — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow.compute — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
@@ -92,7 +92,7 @@
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@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/pyarrow/dataset.html b/docs/dev/_modules/pyarrow/dataset.html
index a55aa9ab2e5..faaabf73a05 100644
--- a/docs/dev/_modules/pyarrow/dataset.html
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@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow.dataset — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow.dataset — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/pyarrow/feather.html b/docs/dev/_modules/pyarrow/feather.html
index a4e5fef35f3..86ca9c73802 100644
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@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow.feather — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow.feather — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/pyarrow/filesystem.html b/docs/dev/_modules/pyarrow/filesystem.html
index ace06778f49..4990669f7a7 100644
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@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow.filesystem — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow.filesystem — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/pyarrow/fs.html b/docs/dev/_modules/pyarrow/fs.html
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<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow.fs — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow.fs — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/pyarrow/hdfs.html b/docs/dev/_modules/pyarrow/hdfs.html
index beb66848785..355834f914f 100644
--- a/docs/dev/_modules/pyarrow/hdfs.html
+++ b/docs/dev/_modules/pyarrow/hdfs.html
@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow.hdfs — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow.hdfs — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
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<span class="caret"></span>
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@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/developers/guide/tutorials/python_tutorial.html b/docs/dev/_modules/pyarrow/interchange/from_dataframe.html
similarity index 73%
copy from docs/dev/developers/guide/tutorials/python_tutorial.html
copy to docs/dev/_modules/pyarrow/interchange/from_dataframe.html
index 784f3578c20..c8c19b41aed 100644
--- a/docs/dev/developers/guide/tutorials/python_tutorial.html
+++ b/docs/dev/_modules/pyarrow/interchange/from_dataframe.html
@@ -4,9 +4,8 @@
<html lang="en">
<head>
<meta charset="utf-8" />
- <meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.19: https://docutils.sourceforge.io/" />
-
- <title>Python tutorial — Apache Arrow v13.0.0.dev181</title>
+ <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+ <title>pyarrow.interchange.from_dataframe — Apache Arrow v13.0.0.dev193</title>
<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
@@ -40,12 +39,10 @@
<script src="../../../_static/clipboard.min.js"></script>
<script src="../../../_static/copybutton.js"></script>
<script src="../../../_static/design-tabs.js"></script>
- <link rel="canonical" href="https://arrow.apache.org/docs/developers/guide/tutorials/python_tutorial.html" />
+ <link rel="canonical" href="https://arrow.apache.org/docs/_modules/pyarrow/interchange/from_dataframe.html" />
<link rel="shortcut icon" href="../../../_static/favicon.ico"/>
<link rel="index" title="Index" href="../../../genindex.html" />
<link rel="search" title="Search" href="../../../search.html" />
- <link rel="next" title="R tutorials" href="r_tutorial.html" />
- <link rel="prev" title="Tutorials" href="index.html" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="docsearch:language" content="en">
@@ -95,7 +92,7 @@
<div id="version-button" class="dropdown">
<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
- 13.0.0.dev181
+ 13.0.0.dev193
<span class="caret"></span>
</button>
<div id="version_switcher" class="dropdown-menu list-group-flush py-0" aria-labelledby="version_switcher_button">
@@ -114,7 +111,7 @@ function buildURL(entry) {
// Function to check if corresponding page path exists in other version of docs
// and, if so, go there instead of the homepage of the other docs version
function checkPageExistsAndRedirect(event) {
- const currentFilePath = "developers/guide/tutorials/python_tutorial.html",
+ const currentFilePath = "_modules/pyarrow/interchange/from_dataframe.html",
otherDocsHomepage = event.target.getAttribute("href");
let tryUrl = `${otherDocsHomepage}${currentFilePath}`;
$.ajax({
@@ -821,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../../python/timestamps.html">
Timestamps
@@ -1964,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
@@ -4654,39 +4661,39 @@ function checkPageExistsAndRedirect(event) {
Development
</span>
</p>
-<ul class="current nav bd-sidenav">
+<ul class="nav bd-sidenav">
<li class="toctree-l1">
- <a class="reference internal" href="../../contributing.html">
+ <a class="reference internal" href="../../../developers/contributing.html">
Contributing to Apache Arrow
</a>
</li>
<li class="toctree-l1">
- <a class="reference internal" href="../../bug_reports.html">
+ <a class="reference internal" href="../../../developers/bug_reports.html">
Bug reports and feature requests
</a>
</li>
- <li class="toctree-l1 current active has-children">
- <a class="reference internal" href="../index.html">
+ <li class="toctree-l1 has-children">
+ <a class="reference internal" href="../../../developers/guide/index.html">
New Contributor’s Guide
</a>
- <input checked="" class="toctree-checkbox" id="toctree-checkbox-28" name="toctree-checkbox-28" type="checkbox"/>
+ <input class="toctree-checkbox" id="toctree-checkbox-28" name="toctree-checkbox-28" type="checkbox"/>
<label for="toctree-checkbox-28">
<i class="fas fa-chevron-down">
</i>
</label>
- <ul class="current">
+ <ul>
<li class="toctree-l2">
- <a class="reference internal" href="../architectural_overview.html">
+ <a class="reference internal" href="../../../developers/guide/architectural_overview.html">
Architectural Overview
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../communication.html">
+ <a class="reference internal" href="../../../developers/guide/communication.html">
Communication
</a>
</li>
<li class="toctree-l2 has-children">
- <a class="reference internal" href="../step_by_step/index.html">
+ <a class="reference internal" href="../../../developers/guide/step_by_step/index.html">
Steps in making your first PR
</a>
<input class="toctree-checkbox" id="toctree-checkbox-29" name="toctree-checkbox-29" type="checkbox"/>
@@ -4696,88 +4703,88 @@ function checkPageExistsAndRedirect(event) {
</label>
<ul>
<li class="toctree-l3">
- <a class="reference internal" href="../step_by_step/set_up.html">
+ <a class="reference internal" href="../../../developers/guide/step_by_step/set_up.html">
Set up
</a>
</li>
<li class="toctree-l3">
- <a class="reference internal" href="../step_by_step/building.html">
+ <a class="reference internal" href="../../../developers/guide/step_by_step/building.html">
Building the Arrow libraries 🏋🏿♀️
</a>
</li>
<li class="toctree-l3">
- <a class="reference internal" href="../step_by_step/finding_issues.html">
+ <a class="reference internal" href="../../../developers/guide/step_by_step/finding_issues.html">
Finding good first issues 🔎
</a>
</li>
<li class="toctree-l3">
- <a class="reference internal" href="../step_by_step/arrow_codebase.html">
+ <a class="reference internal" href="../../../developers/guide/step_by_step/arrow_codebase.html">
Working on the Arrow codebase 🧐
</a>
</li>
<li class="toctree-l3">
- <a class="reference internal" href="../step_by_step/testing.html">
+ <a class="reference internal" href="../../../developers/guide/step_by_step/testing.html">
Testing 🧪
</a>
</li>
<li class="toctree-l3">
- <a class="reference internal" href="../step_by_step/styling.html">
+ <a class="reference internal" href="../../../developers/guide/step_by_step/styling.html">
Styling 😎
</a>
</li>
<li class="toctree-l3">
- <a class="reference internal" href="../step_by_step/pr_lifecycle.html">
+ <a class="reference internal" href="../../../developers/guide/step_by_step/pr_lifecycle.html">
Lifecycle of a pull request
</a>
</li>
</ul>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../documentation.html">
+ <a class="reference internal" href="../../../developers/guide/documentation.html">
Helping with documentation
</a>
</li>
- <li class="toctree-l2 current active has-children">
- <a class="reference internal" href="index.html">
+ <li class="toctree-l2 has-children">
+ <a class="reference internal" href="../../../developers/guide/tutorials/index.html">
Tutorials
</a>
- <input checked="" class="toctree-checkbox" id="toctree-checkbox-30" name="toctree-checkbox-30" type="checkbox"/>
+ <input class="toctree-checkbox" id="toctree-checkbox-30" name="toctree-checkbox-30" type="checkbox"/>
<label for="toctree-checkbox-30">
<i class="fas fa-chevron-down">
</i>
</label>
- <ul class="current">
- <li class="toctree-l3 current active">
- <a class="current reference internal" href="#">
+ <ul>
+ <li class="toctree-l3">
+ <a class="reference internal" href="../../../developers/guide/tutorials/python_tutorial.html">
Python tutorial
</a>
</li>
<li class="toctree-l3">
- <a class="reference internal" href="r_tutorial.html">
+ <a class="reference internal" href="../../../developers/guide/tutorials/r_tutorial.html">
R tutorials
</a>
</li>
</ul>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../resources.html">
+ <a class="reference internal" href="../../../developers/guide/resources.html">
Additional information and resources
</a>
</li>
</ul>
</li>
<li class="toctree-l1">
- <a class="reference internal" href="../../overview.html">
+ <a class="reference internal" href="../../../developers/overview.html">
Contributing Overview
</a>
</li>
<li class="toctree-l1">
- <a class="reference internal" href="../../reviewing.html">
+ <a class="reference internal" href="../../../developers/reviewing.html">
Reviewing contributions
</a>
</li>
<li class="toctree-l1 has-children">
- <a class="reference internal" href="../../cpp/index.html">
+ <a class="reference internal" href="../../../developers/cpp/index.html">
C++ Development
</a>
<input class="toctree-checkbox" id="toctree-checkbox-31" name="toctree-checkbox-31" type="checkbox"/>
@@ -4787,34 +4794,34 @@ function checkPageExistsAndRedirect(event) {
</label>
<ul>
<li class="toctree-l2">
- <a class="reference internal" href="../../cpp/building.html">
+ <a class="reference internal" href="../../../developers/cpp/building.html">
Building Arrow C++
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../../cpp/development.html">
+ <a class="reference internal" href="../../../developers/cpp/development.html">
Development Guidelines
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../../cpp/windows.html">
+ <a class="reference internal" href="../../../developers/cpp/windows.html">
Developing on Windows
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../../cpp/conventions.html">
+ <a class="reference internal" href="../../../developers/cpp/conventions.html">
Conventions
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../../cpp/fuzzing.html">
+ <a class="reference internal" href="../../../developers/cpp/fuzzing.html">
Fuzzing Arrow C++
</a>
</li>
</ul>
</li>
<li class="toctree-l1 has-children">
- <a class="reference internal" href="../../java/index.html">
+ <a class="reference internal" href="../../../developers/java/index.html">
Java Development
</a>
<input class="toctree-checkbox" id="toctree-checkbox-32" name="toctree-checkbox-32" type="checkbox"/>
@@ -4824,24 +4831,24 @@ function checkPageExistsAndRedirect(event) {
</label>
<ul>
<li class="toctree-l2">
- <a class="reference internal" href="../../java/building.html">
+ <a class="reference internal" href="../../../developers/java/building.html">
Building Arrow Java
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../../java/development.html">
+ <a class="reference internal" href="../../../developers/java/development.html">
Development Guidelines
</a>
</li>
</ul>
</li>
<li class="toctree-l1">
- <a class="reference internal" href="../../python.html">
+ <a class="reference internal" href="../../../developers/python.html">
Python Development
</a>
</li>
<li class="toctree-l1 has-children">
- <a class="reference internal" href="../../continuous_integration/index.html">
+ <a class="reference internal" href="../../../developers/continuous_integration/index.html">
Continuous Integration
</a>
<input class="toctree-checkbox" id="toctree-checkbox-33" name="toctree-checkbox-33" type="checkbox"/>
@@ -4851,39 +4858,39 @@ function checkPageExistsAndRedirect(event) {
</label>
<ul>
<li class="toctree-l2">
- <a class="reference internal" href="../../continuous_integration/overview.html">
+ <a class="reference internal" href="../../../developers/continuous_integration/overview.html">
Continuous Integration
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../../continuous_integration/docker.html">
+ <a class="reference internal" href="../../../developers/continuous_integration/docker.html">
Running Docker Builds
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../../continuous_integration/archery.html">
+ <a class="reference internal" href="../../../developers/continuous_integration/archery.html">
Daily Development using Archery
</a>
</li>
<li class="toctree-l2">
- <a class="reference internal" href="../../continuous_integration/crossbow.html">
+ <a class="reference internal" href="../../../developers/continuous_integration/crossbow.html">
Packaging and Testing with Crossbow
</a>
</li>
</ul>
</li>
<li class="toctree-l1">
- <a class="reference internal" href="../../benchmarks.html">
+ <a class="reference internal" href="../../../developers/benchmarks.html">
Benchmarks
</a>
</li>
<li class="toctree-l1">
- <a class="reference internal" href="../../documentation.html">
+ <a class="reference internal" href="../../../developers/documentation.html">
Building the Documentation
</a>
</li>
<li class="toctree-l1">
- <a class="reference internal" href="../../release.html">
+ <a class="reference internal" href="../../../developers/release.html">
Release Management Guide
</a>
</li>
@@ -4902,67 +4909,6 @@ function checkPageExistsAndRedirect(event) {
<div class="d-none d-xl-block col-xl-2 bd-toc">
-
- <div class="toc-item">
-
-<div class="tocsection onthispage pt-5 pb-3">
- <i class="fas fa-list"></i> On this page
-</div>
-
-<nav id="bd-toc-nav">
- <ul class="visible nav section-nav flex-column">
- <li class="toc-h2 nav-item toc-entry">
- <a class="reference internal nav-link" href="#set-up">
- Set up
- </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
- <a class="reference internal nav-link" href="#building-pyarrow">
- Building PyArrow
- </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
- <a class="reference internal nav-link" href="#create-a-github-issue-for-the-new-feature">
- Create a GitHub issue for the new feature
- </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
- <a class="reference internal nav-link" href="#start-the-work-on-a-new-branch">
- Start the work on a new branch
- </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
- <a class="reference internal nav-link" href="#adding-a-test">
- Adding a test
- </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
- <a class="reference internal nav-link" href="#check-styling">
- Check styling
- </a>
- </li>
- <li class="toc-h2 nav-item toc-entry">
- <a class="reference internal nav-link" href="#creating-a-pull-request">
- Creating a Pull Request
- </a>
- </li>
-</ul>
-
-</nav>
- </div>
-
- <div class="toc-item">
-
-
-<div class="tocsection editthispage">
- <a href="https://github.com/apache/arrow/edit/main/docs/source/developers/guide/tutorials/python_tutorial.rst">
- <i class="fas fa-pencil-alt"></i> Edit this page
- </a>
-</div>
-
- </div>
-
-
</div>
@@ -4974,466 +4920,606 @@ function checkPageExistsAndRedirect(event) {
<div>
- <section id="python-tutorial">
-<span id="id1"></span><h1>Python tutorial<a class="headerlink" href="#python-tutorial" title="Permalink to this heading">¶</a></h1>
-<p>In this tutorial we will make an actual feature contribution to
-Arrow following the steps specified by <a class="reference internal" href="../index.html#quick-ref-guide"><span class="std std-ref">Quick Reference</span></a>
-section of the guide and a more detailed <a class="reference internal" href="../step_by_step/index.html#step-by-step"><span class="std std-ref">Steps in making your first PR</span></a>
-section. Navigate there whenever there is some information
-you may find is missing here.</p>
-<p>The feature contribution will be added to the compute module
-in PyArrow. But you can also follow the steps in case you are
-correcting a bug or adding a binding.</p>
-<p>This tutorial is different from the <a class="reference internal" href="../step_by_step/index.html#step-by-step"><span class="std std-ref">Steps in making your first PR</span></a> as we
-will be working on a specific case. This tutorial is not meant
-as a step-by-step guide.</p>
-<p><strong>Let’s start!</strong></p>
-<section id="set-up">
-<h2>Set up<a class="headerlink" href="#set-up" title="Permalink to this heading">¶</a></h2>
-<p>Let’s set up the Arrow repository. We presume here that Git is
-already installed. Otherwise please see the <a class="reference internal" href="../step_by_step/set_up.html#set-up"><span class="std std-ref">Set up</span></a> section.</p>
-<p>Once the <a class="reference external" href="https://github.com/apache/arrow">Apache Arrow repository</a>
-is forked we will clone it and add the link of the main repository
-to our upstream.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>clone<span class="w"> </span>https://github.com/<your<span class="w"> </span>username>/arrow.git
-<span class="gp">$ </span><span class="nb">cd</span><span class="w"> </span>arrow
-<span class="gp">$ </span>git<span class="w"> </span>remote<span class="w"> </span>add<span class="w"> </span>upstream<span class="w"> </span>https://github.com/apache/arrow
-</pre></div>
-</div>
-</section>
-<section id="building-pyarrow">
-<h2>Building PyArrow<a class="headerlink" href="#building-pyarrow" title="Permalink to this heading">¶</a></h2>
-<p>Script for building PyArrow differs depending on the Operating
-System you are using. For this reason we will only refer to
-the instructions for the building process in this tutorial.</p>
-<div class="admonition seealso">
-<p class="admonition-title">See also</p>
-<p>For the <strong>introduction</strong> to the building process refer to the
-<a class="reference internal" href="../step_by_step/building.html#build-arrow-guide"><span class="std std-ref">Building the Arrow libraries 🏋🏿♀️</span></a> section.</p>
-<p>For the <strong>instructions</strong> on how to build PyArrow refer to the
-<a class="reference internal" href="../../python.html#build-pyarrow"><span class="std std-ref">Building on Linux and macOS</span></a> section.</p>
-</div>
-</section>
-<section id="create-a-github-issue-for-the-new-feature">
-<h2>Create a GitHub issue for the new feature<a class="headerlink" href="#create-a-github-issue-for-the-new-feature" title="Permalink to this heading">¶</a></h2>
-<p>We will add a new feature that imitates an existing function
-<code class="docutils literal notranslate"><span class="pre">min_max</span></code> from the <code class="docutils literal notranslate"><span class="pre">arrow.compute</span></code> module but makes the
-interval bigger by 1 in both directions. Note that this is a
-made-up function for the purpose of this guide.</p>
-<p>See the example of the <code class="docutils literal notranslate"><span class="pre">pc.min_max</span></code> in
-<a class="reference external" href="https://arrow.apache.org/cookbook/py/data.html#computing-mean-min-max-values-of-an-array">this link</a>.</p>
-<p>First we need to create a GitHub issue as it doesn’t exist yet.
-With a GitHub account created we will navigate to the
-<a class="reference external" href="https://github.com/apache/arrow/issues">GitHub issue dashboard</a>
-and click on the <strong>New issue</strong> button.</p>
-<p>We should make sure to assign ourselves to the issue to let others
-know we are working on it. You can do that with adding a comment
-<code class="docutils literal notranslate"><span class="pre">take</span></code> to the issue created.</p>
-<div class="admonition seealso">
-<p class="admonition-title">See also</p>
-<p>To get more information on GitHub issues go to
-<a class="reference internal" href="../step_by_step/finding_issues.html#finding-issues"><span class="std std-ref">Finding good first issues 🔎</span></a> part of the guide.</p>
-</div>
-</section>
-<section id="start-the-work-on-a-new-branch">
-<h2>Start the work on a new branch<a class="headerlink" href="#start-the-work-on-a-new-branch" title="Permalink to this heading">¶</a></h2>
-<p>Before we start working on adding the feature we should
-create a new branch from the updated main branch.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>checkout<span class="w"> </span>main
-<span class="gp">$ </span>git<span class="w"> </span>fetch<span class="w"> </span>upstream
-<span class="gp">$ </span>git<span class="w"> </span>pull<span class="w"> </span>--ff-only<span class="w"> </span>upstream<span class="w"> </span>main
-<span class="gp">$ </span>git<span class="w"> </span>checkout<span class="w"> </span>-b<span class="w"> </span>ARROW-14977
-</pre></div>
-</div>
-<p>Let’s research the Arrow library to see where the <code class="docutils literal notranslate"><span class="pre">pc.min_max</span></code>
-function is defined/connected with the C++ and get an idea
-where we could implement the new feature.</p>
-<figure class="align-default" id="id2">
-<a class="reference internal image-reference" href="../../../_images/python_tutorial_github_search.jpeg"><img alt="Apache Arrow GitHub repository dashboard where we are searching for a pc.min_max function reference." src="../../../_images/python_tutorial_github_search.jpeg" style="width: 698.0px; height: 274.0px;" /></a>
-<figcaption>
-<p><span class="caption-text">We could try to search for the function reference in a
-GitHub Apache Arrow repository.</span><a class="headerlink" href="#id2" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<figure class="align-default" id="id3">
-<a class="reference internal image-reference" href="../../../_images/python_tutorial_github_find_in_file.jpeg"><img alt="In the GitHub repository we are searching through the test_compute.py file for the pc.min_max function." src="../../../_images/python_tutorial_github_find_in_file.jpeg" style="width: 612.0px; height: 244.5px;" /></a>
-<figcaption>
-<p><span class="caption-text">And search through the <code class="docutils literal notranslate"><span class="pre">test_compute.py</span></code> file in <code class="docutils literal notranslate"><span class="pre">pyarrow</span></code>
-folder.</span><a class="headerlink" href="#id3" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<p>From the search we can see that the function is tested in the
-<code class="docutils literal notranslate"><span class="pre">python/pyarrow/tests/test_compute.py</span></code> file that would mean the
-function is defined in the <code class="docutils literal notranslate"><span class="pre">compute.py</span></code> file.</p>
-<p>After examining the <code class="docutils literal notranslate"><span class="pre">compute.py</span></code> file we can see that together
-with <code class="docutils literal notranslate"><span class="pre">_compute.pyx</span></code> the functions from C++ get wrapped into Python.
-We will define the new feature at the end of the <code class="docutils literal notranslate"><span class="pre">compute.py</span></code> file.</p>
-<p>Lets run some code in the Python console from <code class="docutils literal notranslate"><span class="pre">arrow/python</span></code>
-directory in order to learn more about <code class="docutils literal notranslate"><span class="pre">pc.min_max</span></code>.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span><span class="nb">cd</span><span class="w"> </span>python
-<span class="gp">$ </span>python
+ <h1>Source code for pyarrow.interchange.from_dataframe</h1><div class="highlight"><pre>
+<span></span><span class="c1"># Licensed to the Apache Software Foundation (ASF) under one</span>
+<span class="c1"># or more contributor license agreements. See the NOTICE file</span>
+<span class="c1"># distributed with this work for additional information</span>
+<span class="c1"># regarding copyright ownership. The ASF licenses this file</span>
+<span class="c1"># to you under the Apache License, Version 2.0 (the</span>
+<span class="c1"># "License"); you may not use this file except in compliance</span>
+<span class="c1"># with the License. You may obtain a copy of the License at</span>
+<span class="c1">#</span>
+<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
+<span class="c1">#</span>
+<span class="c1"># Unless required by applicable law or agreed to in writing,</span>
+<span class="c1"># software distributed under the License is distributed on an</span>
+<span class="c1"># "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY</span>
+<span class="c1"># KIND, either express or implied. See the License for the</span>
+<span class="c1"># specific language governing permissions and limitations</span>
+<span class="c1"># under the License.</span>
-<span class="go">Python 3.9.7 (default, Oct 22 2021, 13:24:00)</span>
-<span class="go">[Clang 13.0.0 (clang-1300.0.29.3)] on darwin</span>
-<span class="go">Type "help", "copyright", "credits" or "license" for more information.</span>
-</pre></div>
-</div>
-<p>We have entered into the Python console from the shell and we can
-do some research:</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow.compute</span> <span class="k">as</span> <span class="nn">pc</span>
-<span class="gp">>>> </span><span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
-<span class="gp">>>> </span><span class="n">data</span>
-<span class="go">[4, 5, 6, None, 1]</span>
-<span class="gp">>>> </span><span class="n">pc</span><span class="o">.</span><span class="n">min_max</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
-<span class="go"><pyarrow.StructScalar: [('min', 1), ('max', 6)]></span>
-<span class="gp">>>> </span><span class="n">pc</span><span class="o">.</span><span class="n">min_max</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">skip_nulls</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
-<span class="go"><pyarrow.StructScalar: [('min', None), ('max', None)]></span>
-</pre></div>
-</div>
-<p>We will call our new feature <code class="docutils literal notranslate"><span class="pre">pc.tutorial_min_max</span></code>. We want the
-result from our function, that takes the same input data, to be
-<code class="docutils literal notranslate"><span class="pre">[('min-',</span> <span class="pre">0),</span> <span class="pre">('max+',</span> <span class="pre">7)]</span></code>. If we specify that the null value should be
-included, the result should be equal to <code class="docutils literal notranslate"><span class="pre">pc.min_max</span></code> that is
-<code class="docutils literal notranslate"><span class="pre">[('min',</span> <span class="pre">None),</span> <span class="pre">('max',</span> <span class="pre">None)]</span></code>.</p>
-<p>Lets add the first trial code into <code class="docutils literal notranslate"><span class="pre">arrow/python/pyarrow/compute.py</span></code>
-where we first test the call to the “min_max” function from C++:</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">tutorial_min_max</span><span class="p">(</span><span class="n">values</span><span class="p">,</span> <span class="n">skip_nulls</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="kn">from</span> <span class="nn">__future__</span> <span class="kn">import</span> <span class="n">annotations</span>
+
+<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">Any</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">from</span> <span class="nn">pyarrow.interchange.column</span> <span class="kn">import</span> <span class="p">(</span>
+ <span class="n">DtypeKind</span><span class="p">,</span>
+ <span class="n">ColumnBuffers</span><span class="p">,</span>
+ <span class="n">ColumnNullType</span><span class="p">,</span>
+<span class="p">)</span>
+
+<span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
+<span class="kn">import</span> <span class="nn">re</span>
+
+<span class="kn">import</span> <span class="nn">pyarrow.compute</span> <span class="k">as</span> <span class="nn">pc</span>
+<span class="kn">from</span> <span class="nn">pyarrow.interchange.column</span> <span class="kn">import</span> <span class="n">Dtype</span>
+
+
+<span class="c1"># A typing protocol could be added later to let Mypy validate code using</span>
+<span class="c1"># `from_dataframe` better.</span>
+<span class="n">DataFrameObject</span> <span class="o">=</span> <span class="n">Any</span>
+<span class="n">ColumnObject</span> <span class="o">=</span> <span class="n">Any</span>
+<span class="n">BufferObject</span> <span class="o">=</span> <span class="n">Any</span>
+
+
+<span class="n">_PYARROW_DTYPES</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="n">DtypeKind</span><span class="p">,</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">int</span><span class="p">,</span> <span class="n">Any</span><span class="p">]]</span> <span class="o">=</span> <span class="p">{</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">INT</span><span class="p">:</span> <span class="p">{</span><span class="mi">8</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">int8</span><span class="p">(),</span>
+ <span class="mi">16</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">int16</span><span class="p">(),</span>
+ <span class="mi">32</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">int32</span><span class="p">(),</span>
+ <span class="mi">64</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()},</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">UINT</span><span class="p">:</span> <span class="p">{</span><span class="mi">8</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">uint8</span><span class="p">(),</span>
+ <span class="mi">16</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">uint16</span><span class="p">(),</span>
+ <span class="mi">32</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">uint32</span><span class="p">(),</span>
+ <span class="mi">64</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">uint64</span><span class="p">()},</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">FLOAT</span><span class="p">:</span> <span class="p">{</span><span class="mi">16</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">float16</span><span class="p">(),</span>
+ <span class="mi">32</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">float32</span><span class="p">(),</span>
+ <span class="mi">64</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">float64</span><span class="p">()},</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">BOOL</span><span class="p">:</span> <span class="p">{</span><span class="mi">8</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">uint8</span><span class="p">()},</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">STRING</span><span class="p">:</span> <span class="p">{</span><span class="mi">8</span><span class="p">:</span> <span class="n">pa</span><span class="o">.</span><span class="n">string</span><span class="p">()},</span>
+<span class="p">}</span>
+
+
+<div class="viewcode-block" id="from_dataframe"><a class="viewcode-back" href="../../../python/generated/pyarrow.interchange.from_dataframe.html#pyarrow.interchange.from_dataframe">[docs]</a><span class="k">def</span> <span class="nf">from_dataframe</span><span class="p">(</span><span class="n">df</span><span class="p">:</span> <span class="n">DataFrameObject</span><span class="p">,</span> <span class="n">allow_copy</span><span class="o">=</span><span class="kc">True</span><span class="p [...]
<span class="w"> </span><span class="sd">"""</span>
-<span class="sd"> Add docstrings</span>
+<span class="sd"> Build a ``pa.Table`` from any DataFrame supporting the interchange protocol.</span>
<span class="sd"> Parameters</span>
<span class="sd"> ----------</span>
-<span class="sd"> values : Array</span>
+<span class="sd"> df : DataFrameObject</span>
+<span class="sd"> Object supporting the interchange protocol, i.e. `__dataframe__`</span>
+<span class="sd"> method.</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
<span class="sd"> Returns</span>
<span class="sd"> -------</span>
-<span class="sd"> result : TODO</span>
+<span class="sd"> pa.Table</span>
<span class="sd"> Examples</span>
<span class="sd"> --------</span>
-<span class="sd"> >>> import pyarrow.compute as pc</span>
-<span class="sd"> >>> data = [4, 5, 6, None, 1]</span>
-<span class="sd"> >>> pc.tutorial_min_max(data)</span>
-<span class="sd"> <pyarrow.StructScalar: [('min-', 0), ('max+', 7)]></span>
+<span class="sd"> >>> import pyarrow</span>
+<span class="sd"> >>> from pyarrow.interchange import from_dataframe</span>
+
+<span class="sd"> Convert a pandas dataframe to a pyarrow table:</span>
+
+<span class="sd"> >>> import pandas as pd</span>
+<span class="sd"> >>> df = pd.DataFrame({</span>
+<span class="sd"> ... "n_atendees": [100, 10, 1],</span>
+<span class="sd"> ... "country": ["Italy", "Spain", "Slovenia"],</span>
+<span class="sd"> ... })</span>
+<span class="sd"> >>> df</span>
+<span class="sd"> n_atendees country</span>
+<span class="sd"> 0 100 Italy</span>
+<span class="sd"> 1 10 Spain</span>
+<span class="sd"> 2 1 Slovenia</span>
+<span class="sd"> >>> from_dataframe(df)</span>
+<span class="sd"> pyarrow.Table</span>
+<span class="sd"> n_atendees: int64</span>
+<span class="sd"> country: large_string</span>
+<span class="sd"> ----</span>
+<span class="sd"> n_atendees: [[100,10,1]]</span>
+<span class="sd"> country: [["Italy","Spain","Slovenia"]]</span>
<span class="sd"> """</span>
+ <span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">Table</span><span class="p">):</span>
+ <span class="k">return</span> <span class="n">df</span>
+ <span class="k">elif</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">RecordBatch</span><span class="p">):</span>
+ <span class="k">return</span> <span class="n">pa</span><span class="o">.</span><span class="n">Table</span><span class="o">.</span><span class="n">from_batches</span><span class="p">([</span><span class="n">df</span><span class="p">])</span>
- <span class="n">options</span> <span class="o">=</span> <span class="n">ScalarAggregateOptions</span><span class="p">(</span><span class="n">skip_nulls</span><span class="o">=</span><span class="n">skip_nulls</span><span class="p">)</span>
- <span class="k">return</span> <span class="n">call_function</span><span class="p">(</span><span class="s2">"min_max"</span><span class="p">,</span> <span class="p">[</span><span class="n">values</span><span class="p">],</span> <span class="n">options</span><span class="p">)</span>
-</pre></div>
-</div>
-<p>To see if this works we will need to import <code class="docutils literal notranslate"><span class="pre">pyarrow.compute</span></code>
-again and try:</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow.compute</span> <span class="k">as</span> <span class="nn">pc</span>
-<span class="gp">>>> </span><span class="n">data</span> <span class="o">=</span> <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
-<span class="gp">>>> </span><span class="n">pc</span><span class="o">.</span><span class="n">tutorial_min_max</span><span class="p">(</span><span class="n">data</span><span class="p">)</span>
-<span class="go"><pyarrow.StructScalar: [('min', 1), ('max', 6)]></span>
-</pre></div>
-</div>
-<p>It’s working. Now we must correct the limits to get the corrected
-interval. To do that we have to do some research on <code class="docutils literal notranslate"><span class="pre">pyarrow.StructScalar</span></code>.
-In <a class="reference external" href="https://github.com/apache/arrow/blob/994074d2e7ff073301e0959dbc5bb595a1e2a41b/python/pyarrow/tests/test_scalars.py#L547-L553">test_scalars.py</a>
-under the <code class="docutils literal notranslate"><span class="pre">test_struct_duplicate_fields</span></code> we can see an example
-of how the <code class="docutils literal notranslate"><span class="pre">StructScalar</span></code> is created. We could again run the
-Python console and try creating one ourselves.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="gp">>>> </span><span class="kn">import</span> <span class="nn">pyarrow</span> <span class="k">as</span> <span class="nn">pa</span>
-<span class="gp">>>> </span><span class="n">ty</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">struct</span><span class="p">([</span>
-<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">field</span><span class="p">(</span><span class="s1">'min-'</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()),</span>
-<span class="gp">... </span> <span class="n">pa</span><span class="o">.</span><span class="n">field</span><span class="p">(</span><span class="s1">'max+'</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()),</span>
-<span class="gp">... </span> <span class="p">])</span>
-<span class="gp">>>> </span><span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">([(</span><span class="s1">'min-'</span><span class="p">,</span> <span class="mi">3</span><span class="p">),</span> <span class="p">(</span><span class="s1">'max+'</span><span class="p">,</span> <span class="mi">9</span><span class="p">)],</span> <span class="nb">type</span><span class="o">=</span><span class="n">ty</span><span class="p">)</span>
-<span class="go"><pyarrow.StructScalar: [('min-', 3), ('max+', 9)]></span>
-</pre></div>
-</div>
-<div class="admonition note">
-<p class="admonition-title">Note</p>
-<p>In cases where we don’t yet have good documentation, unit tests
-can be a good place to look for code examples.</p>
-</div>
-<p>With the new gained knowledge about <code class="docutils literal notranslate"><span class="pre">StructScalar</span></code> and additional
-options for the <code class="docutils literal notranslate"><span class="pre">pc.min_max</span></code> function we can finish the work.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">tutorial_min_max</span><span class="p">(</span><span class="n">values</span><span class="p">,</span> <span class="n">skip_nulls</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">hasattr</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="s2">"__dataframe__"</span><span class="p">):</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="s2">"`df` does not support __dataframe__"</span><span class="p">)</span>
-<span class="w"> </span><span class="sd">"""</span>
-<span class="sd"> Compute the minimum-1 and maximum+1 values of a numeric array.</span>
+ <span class="k">return</span> <span class="n">_from_dataframe</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">__dataframe__</span><span class="p">(</span><span class="n">allow_copy</span><span class="o">=</span><span class="n">allow_copy</span><span class="p">),</span>
+ <span class="n">allow_copy</span><span class="o">=</span><span class="n">allow_copy</span><span class="p">)</span></div>
-<span class="sd"> This is a made-up feature for the tutorial purposes.</span>
-<span class="sd"> Parameters</span>
-<span class="sd"> ----------</span>
-<span class="sd"> values : Array</span>
-<span class="sd"> skip_nulls : bool, default True</span>
-<span class="sd"> If True, ignore nulls in the input.</span>
+<span class="k">def</span> <span class="nf">_from_dataframe</span><span class="p">(</span><span class="n">df</span><span class="p">:</span> <span class="n">DataFrameObject</span><span class="p">,</span> <span class="n">allow_copy</span><span class="o">=</span><span class="kc">True</span><span class="p">):</span>
+<span class="w"> </span><span class="sd">"""</span>
+<span class="sd"> Build a ``pa.Table`` from the DataFrame interchange object.</span>
-<span class="sd"> Returns</span>
-<span class="sd"> -------</span>
-<span class="sd"> result : StructScalar of min-1 and max+1</span>
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> df : DataFrameObject</span>
+<span class="sd"> Object supporting the interchange protocol, i.e. `__dataframe__`</span>
+<span class="sd"> method.</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
-<span class="sd"> Examples</span>
-<span class="sd"> --------</span>
-<span class="sd"> >>> import pyarrow.compute as pc</span>
-<span class="sd"> >>> data = [4, 5, 6, None, 1]</span>
-<span class="sd"> >>> pc.tutorial_min_max(data)</span>
-<span class="sd"> <pyarrow.StructScalar: [('min-', 0), ('max+', 7)]></span>
-<span class="sd"> """</span>
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> pa.Table</span>
+<span class="sd"> """</span>
+ <span class="n">batches</span> <span class="o">=</span> <span class="p">[]</span>
+ <span class="k">for</span> <span class="n">chunk</span> <span class="ow">in</span> <span class="n">df</span><span class="o">.</span><span class="n">get_chunks</span><span class="p">():</span>
+ <span class="n">batch</span> <span class="o">=</span> <span class="n">protocol_df_chunk_to_pyarrow</span><span class="p">(</span><span class="n">chunk</span><span class="p">,</span> <span class="n">allow_copy</span><span class="p">)</span>
+ <span class="n">batches</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">batch</span><span class="p">)</span>
- <span class="n">options</span> <span class="o">=</span> <span class="n">ScalarAggregateOptions</span><span class="p">(</span><span class="n">skip_nulls</span><span class="o">=</span><span class="n">skip_nulls</span><span class="p">)</span>
- <span class="n">min_max</span> <span class="o">=</span> <span class="n">call_function</span><span class="p">(</span><span class="s2">"min_max"</span><span class="p">,</span> <span class="p">[</span><span class="n">values</span><span class="p">],</span> <span class="n">options</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">pa</span><span class="o">.</span><span class="n">Table</span><span class="o">.</span><span class="n">from_batches</span><span class="p">(</span><span class="n">batches</span><span class="p">)</span>
- <span class="k">if</span> <span class="n">min_max</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
- <span class="n">min_t</span> <span class="o">=</span> <span class="n">min_max</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span><span class="o">-</span><span class="mi">1</span>
- <span class="n">max_t</span> <span class="o">=</span> <span class="n">min_max</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span><span class="o">+</span><span class="mi">1</span>
- <span class="k">else</span><span class="p">:</span>
- <span class="n">min_t</span> <span class="o">=</span> <span class="n">min_max</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
- <span class="n">max_t</span> <span class="o">=</span> <span class="n">min_max</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span>
- <span class="n">ty</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">struct</span><span class="p">([</span>
- <span class="n">pa</span><span class="o">.</span><span class="n">field</span><span class="p">(</span><span class="s1">'min-'</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()),</span>
- <span class="n">pa</span><span class="o">.</span><span class="n">field</span><span class="p">(</span><span class="s1">'max+'</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()),</span>
- <span class="p">])</span>
- <span class="k">return</span> <span class="n">pa</span><span class="o">.</span><span class="n">scalar</span><span class="p">([(</span><span class="s1">'min-'</span><span class="p">,</span> <span class="n">min_t</span><span class="p">),</span> <span class="p">(</span><span class="s1">'max+'</span><span class="p">,</span> <span class="n">max_t</span><span class="p">)],</span> <span class="nb">type</span><span class="o">=</span><span class="n">ty</span><span class="p">)</span>
-</pre></div>
-</div>
-</section>
-<section id="adding-a-test">
-<h2>Adding a test<a class="headerlink" href="#adding-a-test" title="Permalink to this heading">¶</a></h2>
-<p>Now we should add a unit test to <code class="docutils literal notranslate"><span class="pre">python/pyarrow/tests/test_compute.py</span></code>
-and run the pytest.</p>
-<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">test_tutorial_min_max</span><span class="p">():</span>
- <span class="n">arr</span> <span class="o">=</span> <span class="p">[</span><span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">6</span><span class="p">,</span> <span class="kc">None</span><span class="p">,</span> <span class="mi">1</span><span class="p">]</span>
- <span class="n">l1</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'min-'</span><span class="p">:</span> <span class="mi">0</span><span class="p">,</span> <span class="s1">'max+'</span><span class="p">:</span> <span class="mi">7</span><span class="p">}</span>
- <span class="n">l2</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'min-'</span><span class="p">:</span> <span class="kc">None</span><span class="p">,</span> <span class="s1">'max+'</span><span class="p">:</span> <span class="kc">None</span><span class="p">}</span>
- <span class="k">assert</span> <span class="n">pc</span><span class="o">.</span><span class="n">tutorial_min_max</span><span class="p">(</span><span class="n">arr</span><span class="p">)</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span> <span class="o">==</span> <span class="n">l1</span>
- <span class="k">assert</span> <span class="n">pc</span><span class="o">.</span><span class="n">tutorial_min_max</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span>
- <span class="n">skip_nulls</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span><span class="o">.</span><span class="n">as_py</span><span class="p">()</span> <span class="o">==</span> <span class="n">l2</span>
-</pre></div>
-</div>
-<p>With the unit test added we can run the pytest from the shell. To run
-a specific unit test, pass in the test name to the <code class="docutils literal notranslate"><span class="pre">-k</span></code> parameter.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span><span class="nb">cd</span><span class="w"> </span>python
-<span class="gp">$ </span>python<span class="w"> </span>-m<span class="w"> </span>pytest<span class="w"> </span>pyarrow/tests/test_compute.py<span class="w"> </span>-k<span class="w"> </span>test_tutorial_min_max
-<span class="go">======================== test session starts ==========================</span>
-<span class="go">platform darwin -- Python 3.9.7, pytest-6.2.5, py-1.10.0, pluggy-1.0.0</span>
-<span class="go">rootdir: /Users/alenkafrim/repos/arrow/python, configfile: setup.cfg</span>
-<span class="go">plugins: hypothesis-6.24.1, lazy-fixture-0.6.3</span>
-<span class="go">collected 204 items / 203 deselected / 1 selected</span>
+<span class="k">def</span> <span class="nf">protocol_df_chunk_to_pyarrow</span><span class="p">(</span>
+ <span class="n">df</span><span class="p">:</span> <span class="n">DataFrameObject</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">pa</span><span class="o">.</span><span class="n">RecordBatch</span><span class="p">:</span>
+<span class="w"> </span><span class="sd">"""</span>
+<span class="sd"> Convert interchange protocol chunk to ``pa.RecordBatch``.</span>
-<span class="go">pyarrow/tests/test_compute.py . [100%]</span>
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> df : DataFrameObject</span>
+<span class="sd"> Object supporting the interchange protocol, i.e. `__dataframe__`</span>
+<span class="sd"> method.</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
-<span class="go">======================== 1 passed, 203 deselected in 0.16s ============</span>
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> pa.RecordBatch</span>
+<span class="sd"> """</span>
+ <span class="c1"># We need a dict of columns here, with each column being a pa.Array</span>
+ <span class="n">columns</span><span class="p">:</span> <span class="nb">dict</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="p">]</span> <span class="o">=</span> <span class="p">{}</span>
+ <span class="k">for</span> <span class="n">name</span> <span class="ow">in</span> <span class="n">df</span><span class="o">.</span><span class="n">column_names</span><span class="p">():</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="nb">isinstance</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="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Column </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2"> is not a string"</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">name</span> <span class="ow">in</span> <span class="n">columns</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">ValueError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Column </span><span class="si">{</span><span class="n">name</span><span class="si">}</span><span class="s2"> is not unique"</span><span class="p">)</span>
+ <span class="n">col</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">get_column_by_name</span><span class="p">(</span><span class="n">name</span><span class="p">)</span>
+ <span class="n">dtype</span> <span class="o">=</span> <span class="n">col</span><span class="o">.</span><span class="n">dtype</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
+ <span class="k">if</span> <span class="n">dtype</span> <span class="ow">in</span> <span class="p">(</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">INT</span><span class="p">,</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">UINT</span><span class="p">,</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">FLOAT</span><span class="p">,</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">STRING</span><span class="p">,</span>
+ <span class="n">DtypeKind</span><span class="o">.</span><span class="n">DATETIME</span><span class="p">,</span>
+ <span class="p">):</span>
+ <span class="n">columns</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">column_to_array</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">allow_copy</span><span class="p">)</span>
+ <span class="k">elif</span> <span class="n">dtype</span> <span class="o">==</span> <span class="n">DtypeKind</span><span class="o">.</span><span class="n">BOOL</span><span class="p">:</span>
+ <span class="n">columns</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">bool_column_to_array</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">allow_copy</span><span class="p">)</span>
+ <span class="k">elif</span> <span class="n">dtype</span> <span class="o">==</span> <span class="n">DtypeKind</span><span class="o">.</span><span class="n">CATEGORICAL</span><span class="p">:</span>
+ <span class="n">columns</span><span class="p">[</span><span class="n">name</span><span class="p">]</span> <span class="o">=</span> <span class="n">categorical_column_to_dictionary</span><span class="p">(</span><span class="n">col</span><span class="p">,</span> <span class="n">allow_copy</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Data type </span><span class="si">{</span><span class="n">dtype</span><span class="si">}</span><span class="s2"> not handled yet"</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">pa</span><span class="o">.</span><span class="n">RecordBatch</span><span class="o">.</span><span class="n">from_pydict</span><span class="p">(</span><span class="n">columns</span><span class="p">)</span>
-<span class="gp">$ </span>python<span class="w"> </span>-m<span class="w"> </span>pytest<span class="w"> </span>pyarrow/tests/test_compute.py
-<span class="go">======================== test session starts ===========================</span>
-<span class="go">platform darwin -- Python 3.9.7, pytest-6.2.5, py-1.10.0, pluggy-1.0.0</span>
-<span class="go">rootdir: /Users/alenkafrim/repos/arrow/python, configfile: setup.cfg</span>
-<span class="go">plugins: hypothesis-6.24.1, lazy-fixture-0.6.3</span>
-<span class="go">collected 204 items</span>
-<span class="go">pyarrow/tests/test_compute.py ................................... [ 46%]</span>
-<span class="go">................................................. [100%]</span>
+<span class="k">def</span> <span class="nf">column_to_array</span><span class="p">(</span>
+ <span class="n">col</span><span class="p">:</span> <span class="n">ColumnObject</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="p">:</span>
+<span class="w"> </span><span class="sd">"""</span>
+<span class="sd"> Convert a column holding one of the primitive dtypes to a PyArrow array.</span>
+<span class="sd"> A primitive type is one of: int, uint, float, bool (1 bit).</span>
-<span class="go">========================= 204 passed in 0.49s ==========================</span>
-</pre></div>
-</div>
-<div class="admonition seealso">
-<p class="admonition-title">See also</p>
-<p>For more information about testing see <a class="reference internal" href="../step_by_step/testing.html#testing"><span class="std std-ref">Testing 🧪</span></a> section.</p>
-</div>
-</section>
-<section id="check-styling">
-<h2>Check styling<a class="headerlink" href="#check-styling" title="Permalink to this heading">¶</a></h2>
-<p>At the end we also need to check the styling. In Arrow we use a
-utility called <a class="reference external" href="https://arrow.apache.org/docs/developers/archery.html">Archery</a>
-to check if code is in line with PEP 8 style guide.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>archery<span class="w"> </span>lint<span class="w"> </span>--python<span class="w"> </span>--fix
-<span class="go">INFO:archery:Running Python formatter (autopep8)</span>
-<span class="go">INFO:archery:Running Python linter (flake8)</span>
-<span class="go">/Users/alenkafrim/repos/arrow/python/pyarrow/tests/test_compute.py:2288:80: E501 line too long (88 > 79 characters)</span>
-</pre></div>
-</div>
-<p>With the <code class="docutils literal notranslate"><span class="pre">--fix</span></code> command Archery will attempt to fix style issues,
-but some issues like line length can’t be fixed automatically.
-We should make the necessary corrections ourselves and run
-Archery again.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>archery<span class="w"> </span>lint<span class="w"> </span>--python<span class="w"> </span>--fix
-<span class="go">INFO:archery:Running Python formatter (autopep8)</span>
-<span class="go">INFO:archery:Running Python linter (flake8)</span>
-</pre></div>
-</div>
-<p>Done. Now lets make the Pull Request!</p>
-</section>
-<section id="creating-a-pull-request">
-<h2>Creating a Pull Request<a class="headerlink" href="#creating-a-pull-request" title="Permalink to this heading">¶</a></h2>
-<p>First let’s review our changes in the shell using
-<code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">status</span></code> to see which files have been changed and to
-commit only the ones we are working on.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>status
-<span class="go">On branch ARROW-14977</span>
-<span class="go">Changes not staged for commit:</span>
-<span class="go"> (use "git add <file>..." to update what will be committed)</span>
-<span class="go"> (use "git restore <file>..." to discard changes in working directory)</span>
-<span class="go"> modified: python/pyarrow/compute.py</span>
-<span class="go"> modified: python/pyarrow/tests/test_compute.py</span>
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> col : ColumnObject</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
-<span class="go">no changes added to commit (use "git add" and/or "git commit -a")</span>
-</pre></div>
-</div>
-<p>And <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">diff</span></code> to see the changes in the files
-in order to spot any error we might have made.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>diff
-<span class="go">diff --git a/python/pyarrow/compute.py b/python/pyarrow/compute.py</span>
-<span class="go">index 9dac606c3..e8fc775d8 100644</span>
-<span class="go">--- a/python/pyarrow/compute.py</span>
-<span class="go">+++ b/python/pyarrow/compute.py</span>
-<span class="go">@@ -774,3 +774,45 @@ def bottom_k_unstable(values, k, sort_keys=None, *, memory_pool=None):</span>
-<span class="go"> sort_keys = map(lambda key_name: (key_name, "ascending"), sort_keys)</span>
-<span class="go"> options = SelectKOptions(k, sort_keys)</span>
-<span class="go"> return call_function("select_k_unstable", [values], options, memory_pool)</span>
-<span class="go">+</span>
-<span class="go">+</span>
-<span class="go">+def tutorial_min_max(values, skip_nulls=True):</span>
-<span class="go">+ """</span>
-<span class="go">+ Compute the minimum-1 and maximum-1 values of a numeric array.</span>
-<span class="go">+</span>
-<span class="go">+ This is a made-up feature for the tutorial purposes.</span>
-<span class="go">+</span>
-<span class="go">+ Parameters</span>
-<span class="go">+ ----------</span>
-<span class="go">+ values : Array</span>
-<span class="go">+ skip_nulls : bool, default True</span>
-<span class="go">+ If True, ignore nulls in the input.</span>
-<span class="go">+</span>
-<span class="go">+ Returns</span>
-<span class="go">+ -------</span>
-<span class="go">+ result : StructScalar of min-1 and max+1</span>
-<span class="go">+</span>
-<span class="go">+ Examples</span>
-<span class="go">+ --------</span>
-<span class="go">+ >>> import pyarrow.compute as pc</span>
-<span class="go">+ >>> data = [4, 5, 6, None, 1]</span>
-<span class="go">+ >>> pc.tutorial_min_max(data)</span>
-<span class="go">+ <pyarrow.StructScalar: [('min-', 0), ('max+', 7)]></span>
-<span class="go">+ """</span>
-<span class="go">+</span>
-<span class="go">+ options = ScalarAggregateOptions(skip_nulls=skip_nulls)</span>
-<span class="go">+ min_max = call_function("min_max", [values], options)</span>
-<span class="go">+</span>
-<span class="go">...</span>
-</pre></div>
-</div>
-<p>Everything looks OK. Now we can make the commit (save our changes
-to the branch history):</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>commit<span class="w"> </span>-am<span class="w"> </span><span class="s2">"Adding a new compute feature for tutorial purposes"</span>
-<span class="go">[ARROW-14977 170ef85be] Adding a new compute feature for tutorial purposes</span>
-<span class="go"> 2 files changed, 51 insertions(+)</span>
-</pre></div>
-</div>
-<p>We can use <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">log</span></code> to check the history of commits:</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>log
-<span class="go">commit 170ef85beb8ee629be651e3f93bcc4a69e29cfb8 (HEAD -> ARROW-14977)</span>
-<span class="go">Author: Alenka Frim <frim.alenka@gmail.com></span>
-<span class="go">Date: Tue Dec 7 13:45:06 2021 +0100</span>
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> pa.Array</span>
+<span class="sd"> """</span>
+ <span class="n">buffers</span> <span class="o">=</span> <span class="n">col</span><span class="o">.</span><span class="n">get_buffers</span><span class="p">()</span>
+ <span class="n">data</span> <span class="o">=</span> <span class="n">buffers_to_array</span><span class="p">(</span><span class="n">buffers</span><span class="p">,</span> <span class="n">col</span><span class="o">.</span><span class="n">size</span><span class="p">(),</span>
+ <span class="n">col</span><span class="o">.</span><span class="n">describe_null</span><span class="p">,</span>
+ <span class="n">col</span><span class="o">.</span><span class="n">offset</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">data</span>
-<span class="go"> Adding a new compute feature for tutorial purposes</span>
-<span class="go">commit 8cebc4948ab5c5792c20a3f463e2043e01c49828 (main)</span>
-<span class="go">Author: Sutou Kouhei <kou@clear-code.com></span>
-<span class="go">Date: Sun Dec 5 15:19:46 2021 +0900</span>
+<span class="k">def</span> <span class="nf">bool_column_to_array</span><span class="p">(</span>
+ <span class="n">col</span><span class="p">:</span> <span class="n">ColumnObject</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="p">:</span>
+<span class="w"> </span><span class="sd">"""</span>
+<span class="sd"> Convert a column holding boolean dtype to a PyArrow array.</span>
-<span class="go"> ARROW-14981: [CI][Docs] Upload built documents</span>
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> col : ColumnObject</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
-<span class="go"> We can use this in release process instead of building on release</span>
-<span class="go"> manager's local environment.</span>
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> pa.Array</span>
+<span class="sd"> """</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">allow_copy</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
+ <span class="s2">"Boolean column will be casted from uint8 and a copy "</span>
+ <span class="s2">"is required which is forbidden by allow_copy=False"</span>
+ <span class="p">)</span>
-<span class="go"> Closes #11856 from kou/ci-docs-upload</span>
+ <span class="n">buffers</span> <span class="o">=</span> <span class="n">col</span><span class="o">.</span><span class="n">get_buffers</span><span class="p">()</span>
+ <span class="n">data</span> <span class="o">=</span> <span class="n">buffers_to_array</span><span class="p">(</span><span class="n">buffers</span><span class="p">,</span> <span class="n">col</span><span class="o">.</span><span class="n">size</span><span class="p">(),</span>
+ <span class="n">col</span><span class="o">.</span><span class="n">describe_null</span><span class="p">,</span>
+ <span class="n">col</span><span class="o">.</span><span class="n">offset</span><span class="p">)</span>
+ <span class="n">data</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">bool_</span><span class="p">())</span>
-<span class="go"> Authored-by: Sutou Kouhei <kou@clear-code.com></span>
-<span class="go"> Signed-off-by: Sutou Kouhei <kou@clear-code.com></span>
-<span class="go">...</span>
-</pre></div>
-</div>
-<p>If we would started the branch some time ago, we may need to rebase to
-upstream main to make sure there are no merge conflicts:</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>pull<span class="w"> </span>upstream<span class="w"> </span>main<span class="w"> </span>--rebase
-</pre></div>
-</div>
-<p>And now we can push our work to the forked Arrow repository on GitHub
-called <code class="docutils literal notranslate"><span class="pre">origin</span></code>.</p>
-<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>push<span class="w"> </span>origin<span class="w"> </span>ARROW-14977
-<span class="go">Enumerating objects: 13, done.</span>
-<span class="go">Counting objects: 100% (13/13), done.</span>
-<span class="go">Delta compression using up to 8 threads</span>
-<span class="go">Compressing objects: 100% (7/7), done.</span>
-<span class="go">Writing objects: 100% (7/7), 1.19 KiB | 1.19 MiB/s, done.</span>
-<span class="go">Total 7 (delta 6), reused 0 (delta 0), pack-reused 0</span>
-<span class="go">remote: Resolving deltas: 100% (6/6), completed with 6 local objects.</span>
-<span class="go">remote:</span>
-<span class="go">remote: Create a pull request for 'ARROW-14977' on GitHub by visiting:</span>
-<span class="go">remote: https://github.com/AlenkaF/arrow/pull/new/ARROW-14977</span>
-<span class="go">remote:</span>
-<span class="go">To https://github.com/AlenkaF/arrow.git</span>
-<span class="go"> * [new branch] ARROW-14977 -> ARROW-14977</span>
-</pre></div>
-</div>
-<p>Now we have to go to the <a class="reference external" href="https://github.com/apache/arrow">Arrow repository on GitHub</a>
-to create a Pull Request. On the GitHub Arrow
-page (main or forked) we will see a yellow notice
-bar with a note that we made recent pushes to the branch
-ARROW-14977. That’s great, now we can make the Pull Request
-by clicking on <strong>Compare & pull request</strong>.</p>
-<figure class="align-default" id="id4">
-<a class="reference internal image-reference" href="../../../_images/python_tutorial_github_pr_notice.jpeg"><img alt="GitHub page of the Apache Arrow repository showing a notice bar indicating change has been made in our branch and a Pull Request can be created." src="../../../_images/python_tutorial_github_pr_notice.jpeg" style="width: 616.0px; height: 258.0px;" /></a>
-<figcaption>
-<p><span class="caption-text">Notice bar on the Apache Arrow repository.</span><a class="headerlink" href="#id4" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<p>First we need to change the Title to <em>ARROW-14977: [Python] Add a “made-up”
-feature for the guide tutorial</em> in order to match it
-with the issue. Note a punctuation mark was added!</p>
-<p><em>Extra note: when this tutorial was created, we had been using the Jira issue
-tracker. As we are currently using GitHub issues, the title would be prefixed
-with GH-14977: [Python] Add a “made-up” feature for the guide tutorial</em>.</p>
-<p>We will also add a description to make it clear to others what we are
-trying to do.</p>
-<p>Once I click <strong>Create pull request</strong> my code can be reviewed as a
-Pull Request in the Apache Arrow repository.</p>
-<figure class="align-default" id="id5">
-<a class="reference internal image-reference" href="../../../_images/python_tutorial_pr.jpeg"><img alt="GitHub page of the Pull Request showing the title and a description." src="../../../_images/python_tutorial_pr.jpeg" style="width: 567.5px; height: 355.5px;" /></a>
-<figcaption>
-<p><span class="caption-text">Here it is, our Pull Request!</span><a class="headerlink" href="#id5" title="Permalink to this image">¶</a></p>
-</figcaption>
-</figure>
-<p>The Pull Request gets connected to the issue and the CI is
-running. After some time passes and we get a review we can correct
-the code, comment, resolve conversations and so on. The Pull Request
-we made can be viewed <a class="reference external" href="https://github.com/apache/arrow/pull/11900">here</a>.</p>
-<div class="admonition seealso">
-<p class="admonition-title">See also</p>
-<p>For more information about Pull Request workflow see <a class="reference internal" href="../step_by_step/pr_lifecycle.html#pr-lifecycle"><span class="std std-ref">Lifecycle of a pull request</span></a>.</p>
-</div>
-</section>
-</section>
+ <span class="k">return</span> <span class="n">data</span>
+
+
+<span class="k">def</span> <span class="nf">categorical_column_to_dictionary</span><span class="p">(</span>
+ <span class="n">col</span><span class="p">:</span> <span class="n">ColumnObject</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">pa</span><span class="o">.</span><span class="n">DictionaryArray</span><span class="p">:</span>
+<span class="w"> </span><span class="sd">"""</span>
+<span class="sd"> Convert a column holding categorical data to a pa.DictionaryArray.</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> col : ColumnObject</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> pa.DictionaryArray</span>
+<span class="sd"> """</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">allow_copy</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
+ <span class="s2">"Categorical column will be casted from uint8 and a copy "</span>
+ <span class="s2">"is required which is forbidden by allow_copy=False"</span>
+ <span class="p">)</span>
+
+ <span class="n">categorical</span> <span class="o">=</span> <span class="n">col</span><span class="o">.</span><span class="n">describe_categorical</span>
+
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">categorical</span><span class="p">[</span><span class="s2">"is_dictionary"</span><span class="p">]:</span>
+ <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
+ <span class="s2">"Non-dictionary categoricals not supported yet"</span><span class="p">)</span>
+
+ <span class="n">cat_column</span> <span class="o">=</span> <span class="n">categorical</span><span class="p">[</span><span class="s2">"categories"</span><span class="p">]</span>
+ <span class="n">dictionary</span> <span class="o">=</span> <span class="n">column_to_array</span><span class="p">(</span><span class="n">cat_column</span><span class="p">)</span>
+
+ <span class="n">buffers</span> <span class="o">=</span> <span class="n">col</span><span class="o">.</span><span class="n">get_buffers</span><span class="p">()</span>
+ <span class="n">indices</span> <span class="o">=</span> <span class="n">buffers_to_array</span><span class="p">(</span><span class="n">buffers</span><span class="p">,</span> <span class="n">col</span><span class="o">.</span><span class="n">size</span><span class="p">(),</span>
+ <span class="n">col</span><span class="o">.</span><span class="n">describe_null</span><span class="p">,</span>
+ <span class="n">col</span><span class="o">.</span><span class="n">offset</span><span class="p">)</span>
+
+ <span class="c1"># Constructing a pa.DictionaryArray</span>
+ <span class="n">dict_array</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">DictionaryArray</span><span class="o">.</span><span class="n">from_arrays</span><span class="p">(</span><span class="n">indices</span><span class="p">,</span> <span class="n">dictionary</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">dict_array</span>
+
+
+<span class="k">def</span> <span class="nf">parse_datetime_format_str</span><span class="p">(</span><span class="n">format_str</span><span class="p">):</span>
+<span class="w"> </span><span class="sd">"""Parse datetime `format_str` to interpret the `data`."""</span>
+
+ <span class="c1"># timestamp 'ts{unit}:tz'</span>
+ <span class="n">timestamp_meta</span> <span class="o">=</span> <span class="n">re</span><span class="o">.</span><span class="n">match</span><span class="p">(</span><span class="sa">r</span><span class="s2">"ts([smun]):(.*)"</span><span class="p">,</span> <span class="n">format_str</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">timestamp_meta</span><span class="p">:</span>
+ <span class="n">unit</span><span class="p">,</span> <span class="n">tz</span> <span class="o">=</span> <span class="n">timestamp_meta</span><span class="o">.</span><span class="n">group</span><span class="p">(</span><span class="mi">1</span><span class="p">),</span> <span class="n">timestamp_meta</span><span class="o">.</span><span class="n">group</span><span class="p">(</span><span class="mi">2</span><span class="p">)</span>
+ <span class="k">if</span> <span class="n">unit</span> <span class="o">!=</span> <span class="s2">"s"</span><span class="p">:</span>
+ <span class="c1"># the format string describes only a first letter of the unit, so</span>
+ <span class="c1"># add one extra letter to convert the unit to numpy-style:</span>
+ <span class="c1"># 'm' -> 'ms', 'u' -> 'us', 'n' -> 'ns'</span>
+ <span class="n">unit</span> <span class="o">+=</span> <span class="s2">"s"</span>
+
+ <span class="k">return</span> <span class="n">unit</span><span class="p">,</span> <span class="n">tz</span>
+
+ <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span><span class="sa">f</span><span class="s2">"DateTime kind is not supported: </span><span class="si">{</span><span class="n">format_str</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">map_date_type</span><span class="p">(</span><span class="n">data_type</span><span class="p">):</span>
+<span class="w"> </span><span class="sd">"""Map column date type to pyarrow date type. """</span>
+ <span class="n">kind</span><span class="p">,</span> <span class="n">bit_width</span><span class="p">,</span> <span class="n">f_string</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">data_type</span>
+
+ <span class="k">if</span> <span class="n">kind</span> <span class="o">==</span> <span class="n">DtypeKind</span><span class="o">.</span><span class="n">DATETIME</span><span class="p">:</span>
+ <span class="n">unit</span><span class="p">,</span> <span class="n">tz</span> <span class="o">=</span> <span class="n">parse_datetime_format_str</span><span class="p">(</span><span class="n">f_string</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">pa</span><span class="o">.</span><span class="n">timestamp</span><span class="p">(</span><span class="n">unit</span><span class="p">,</span> <span class="n">tz</span><span class="o">=</span><span class="n">tz</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">pa_dtype</span> <span class="o">=</span> <span class="n">_PYARROW_DTYPES</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">kind</span><span class="p">,</span> <span class="p">{})</span><span class="o">.</span><span class="n">get</span><span class="p">(</span><span class="n">bit_width</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
+
+ <span class="c1"># Error if dtype is not supported</span>
+ <span class="k">if</span> <span class="n">pa_dtype</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">pa_dtype</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
+ <span class="sa">f</span><span class="s2">"Conversion for </span><span class="si">{</span><span class="n">data_type</span><span class="si">}</span><span class="s2"> is not yet supported."</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">buffers_to_array</span><span class="p">(</span>
+ <span class="n">buffers</span><span class="p">:</span> <span class="n">ColumnBuffers</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+ <span class="n">describe_null</span><span class="p">:</span> <span class="n">ColumnNullType</span><span class="p">,</span>
+ <span class="n">offset</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="p">:</span>
+<span class="w"> </span><span class="sd">"""</span>
+<span class="sd"> Build a PyArrow array from the passed buffer.</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> buffer : ColumnBuffers</span>
+<span class="sd"> Dictionary containing tuples of underlying buffers and</span>
+<span class="sd"> their associated dtype.</span>
+<span class="sd"> length : int</span>
+<span class="sd"> The number of values in the array.</span>
+<span class="sd"> describe_null: ColumnNullType</span>
+<span class="sd"> Null representation the column dtype uses,</span>
+<span class="sd"> as a tuple ``(kind, value)``</span>
+<span class="sd"> offset : int, default: 0</span>
+<span class="sd"> Number of elements to offset from the start of the buffer.</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> pa.Array</span>
+
+<span class="sd"> Notes</span>
+<span class="sd"> -----</span>
+<span class="sd"> The returned array doesn't own the memory. The caller of this function</span>
+<span class="sd"> is responsible for keeping the memory owner object alive as long as</span>
+<span class="sd"> the returned PyArrow array is being used.</span>
+<span class="sd"> """</span>
+ <span class="n">data_buff</span><span class="p">,</span> <span class="n">data_type</span> <span class="o">=</span> <span class="n">buffers</span><span class="p">[</span><span class="s2">"data"</span><span class="p">]</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">validity_buff</span><span class="p">,</span> <span class="n">validity_dtype</span> <span class="o">=</span> <span class="n">buffers</span><span class="p">[</span><span class="s2">"validity"</span><span class="p">]</span>
+ <span class="k">except</span> <span class="ne">TypeError</span><span class="p">:</span>
+ <span class="n">validity_buff</span> <span class="o">=</span> <span class="kc">None</span>
+ <span class="k">try</span><span class="p">:</span>
+ <span class="n">offset_buff</span><span class="p">,</span> <span class="n">offset_dtype</span> <span class="o">=</span> <span class="n">buffers</span><span class="p">[</span><span class="s2">"offsets"</span><span class="p">]</span>
+ <span class="k">except</span> <span class="ne">TypeError</span><span class="p">:</span>
+ <span class="n">offset_buff</span> <span class="o">=</span> <span class="kc">None</span>
+
+ <span class="c1"># Construct a pyarrow Buffer</span>
+ <span class="n">data_pa_buffer</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">foreign_buffer</span><span class="p">(</span><span class="n">data_buff</span><span class="o">.</span><span class="n">ptr</span><span class="p">,</span> <span class="n">data_buff</span><span class="o">.</span><span class="n">bufsize</span><span class="p">,</span>
+ <span class="n">base</span><span class="o">=</span><span class="n">data_buff</span><span class="p">)</span>
+
+ <span class="c1"># Construct a validity pyarrow Buffer, if applicable</span>
+ <span class="k">if</span> <span class="n">validity_buff</span><span class="p">:</span>
+ <span class="n">validity_pa_buff</span> <span class="o">=</span> <span class="n">validity_buffer_from_mask</span><span class="p">(</span><span class="n">validity_buff</span><span class="p">,</span>
+ <span class="n">validity_dtype</span><span class="p">,</span>
+ <span class="n">describe_null</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">,</span>
+ <span class="n">offset</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">validity_pa_buff</span> <span class="o">=</span> <span class="n">validity_buffer_nan_sentinel</span><span class="p">(</span><span class="n">data_pa_buffer</span><span class="p">,</span>
+ <span class="n">data_type</span><span class="p">,</span>
+ <span class="n">describe_null</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">,</span>
+ <span class="n">offset</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">)</span>
+
+ <span class="c1"># Construct a pyarrow Array from buffers</span>
+ <span class="n">data_dtype</span> <span class="o">=</span> <span class="n">map_date_type</span><span class="p">(</span><span class="n">data_type</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">offset_buff</span><span class="p">:</span>
+ <span class="n">_</span><span class="p">,</span> <span class="n">offset_bit_width</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">offset_dtype</span>
+ <span class="c1"># If an offset buffer exists, construct an offset pyarrow Buffer</span>
+ <span class="c1"># and add it to the construction of an array</span>
+ <span class="n">offset_pa_buffer</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">foreign_buffer</span><span class="p">(</span><span class="n">offset_buff</span><span class="o">.</span><span class="n">ptr</span><span class="p">,</span>
+ <span class="n">offset_buff</span><span class="o">.</span><span class="n">bufsize</span><span class="p">,</span>
+ <span class="n">base</span><span class="o">=</span><span class="n">offset_buff</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">data_type</span><span class="p">[</span><span class="mi">2</span><span class="p">]</span> <span class="o">==</span> <span class="s1">'U'</span><span class="p">:</span>
+ <span class="n">string_type</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">large_string</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">if</span> <span class="n">offset_bit_width</span> <span class="o">==</span> <span class="mi">64</span><span class="p">:</span>
+ <span class="n">string_type</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">large_string</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">string_type</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">string</span><span class="p">()</span>
+ <span class="n">array</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_buffers</span><span class="p">(</span>
+ <span class="n">string_type</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">,</span>
+ <span class="p">[</span><span class="n">validity_pa_buff</span><span class="p">,</span> <span class="n">offset_pa_buffer</span><span class="p">,</span> <span class="n">data_pa_buffer</span><span class="p">],</span>
+ <span class="n">offset</span><span class="o">=</span><span class="n">offset</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">array</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_buffers</span><span class="p">(</span>
+ <span class="n">data_dtype</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">,</span>
+ <span class="p">[</span><span class="n">validity_pa_buff</span><span class="p">,</span> <span class="n">data_pa_buffer</span><span class="p">],</span>
+ <span class="n">offset</span><span class="o">=</span><span class="n">offset</span><span class="p">,</span>
+ <span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">array</span>
+
+
+<span class="k">def</span> <span class="nf">validity_buffer_from_mask</span><span class="p">(</span>
+ <span class="n">validity_buff</span><span class="p">:</span> <span class="n">BufferObject</span><span class="p">,</span>
+ <span class="n">validity_dtype</span><span class="p">:</span> <span class="n">Dtype</span><span class="p">,</span>
+ <span class="n">describe_null</span><span class="p">:</span> <span class="n">ColumnNullType</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+ <span class="n">offset</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">pa</span><span class="o">.</span><span class="n">Buffer</span><span class="p">:</span>
+<span class="w"> </span><span class="sd">"""</span>
+<span class="sd"> Build a PyArrow buffer from the passed mask buffer.</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> validity_buff : BufferObject</span>
+<span class="sd"> Tuple of underlying validity buffer and associated dtype.</span>
+<span class="sd"> validity_dtype : Dtype</span>
+<span class="sd"> Dtype description as a tuple ``(kind, bit-width, format string,</span>
+<span class="sd"> endianness)``.</span>
+<span class="sd"> describe_null : ColumnNullType</span>
+<span class="sd"> Null representation the column dtype uses,</span>
+<span class="sd"> as a tuple ``(kind, value)``</span>
+<span class="sd"> length : int</span>
+<span class="sd"> The number of values in the array.</span>
+<span class="sd"> offset : int, default: 0</span>
+<span class="sd"> Number of elements to offset from the start of the buffer.</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> pa.Buffer</span>
+<span class="sd"> """</span>
+ <span class="n">null_kind</span><span class="p">,</span> <span class="n">sentinel_val</span> <span class="o">=</span> <span class="n">describe_null</span>
+ <span class="n">validity_kind</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">validity_dtype</span>
+ <span class="k">assert</span> <span class="n">validity_kind</span> <span class="o">==</span> <span class="n">DtypeKind</span><span class="o">.</span><span class="n">BOOL</span>
+ <span class="k">if</span> <span class="n">null_kind</span> <span class="o">==</span> <span class="n">ColumnNullType</span><span class="o">.</span><span class="n">NON_NULLABLE</span><span class="p">:</span>
+ <span class="c1"># Sliced array can have a NON_NULLABLE ColumnNullType due</span>
+ <span class="c1"># to no missing values in that slice of an array though the bitmask</span>
+ <span class="c1"># exists and validity_buff must be set to None in this case</span>
+ <span class="k">return</span> <span class="kc">None</span>
+
+ <span class="k">elif</span> <span class="n">null_kind</span> <span class="o">==</span> <span class="n">ColumnNullType</span><span class="o">.</span><span class="n">USE_BYTEMASK</span> <span class="ow">or</span> <span class="p">(</span>
+ <span class="n">null_kind</span> <span class="o">==</span> <span class="n">ColumnNullType</span><span class="o">.</span><span class="n">USE_BITMASK</span> <span class="ow">and</span> <span class="n">sentinel_val</span> <span class="o">==</span> <span class="mi">1</span>
+ <span class="p">):</span>
+ <span class="n">buff</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">foreign_buffer</span><span class="p">(</span><span class="n">validity_buff</span><span class="o">.</span><span class="n">ptr</span><span class="p">,</span>
+ <span class="n">validity_buff</span><span class="o">.</span><span class="n">bufsize</span><span class="p">,</span>
+ <span class="n">base</span><span class="o">=</span><span class="n">validity_buff</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">null_kind</span> <span class="o">==</span> <span class="n">ColumnNullType</span><span class="o">.</span><span class="n">USE_BYTEMASK</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">allow_copy</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
+ <span class="s2">"To create a bitmask a copy of the data is "</span>
+ <span class="s2">"required which is forbidden by allow_copy=False"</span>
+ <span class="p">)</span>
+ <span class="n">mask</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_buffers</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">int8</span><span class="p">(),</span> <span class="n">length</span><span class="p">,</span>
+ <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="n">buff</span><span class="p">],</span>
+ <span class="n">offset</span><span class="o">=</span><span class="n">offset</span><span class="p">)</span>
+ <span class="n">mask_bool</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">mask</span><span class="p">,</span> <span class="n">pa</span><span class="o">.</span><span class="n">bool_</span><span class="p">())</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">mask_bool</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_buffers</span><span class="p">(</span><span class="n">pa</span><span class="o">.</span><span class="n">bool_</span><span class="p">(),</span> <span class="n">length</span><span class="p">,</span>
+ <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="n">buff</span><span class="p">],</span>
+ <span class="n">offset</span><span class="o">=</span><span class="n">offset</span><span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">sentinel_val</span> <span class="o">==</span> <span class="mi">1</span><span class="p">:</span>
+ <span class="n">mask_bool</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">invert</span><span class="p">(</span><span class="n">mask_bool</span><span class="p">)</span>
+
+ <span class="k">return</span> <span class="n">mask_bool</span><span class="o">.</span><span class="n">buffers</span><span class="p">()[</span><span class="mi">1</span><span class="p">]</span>
+
+ <span class="k">elif</span> <span class="n">null_kind</span> <span class="o">==</span> <span class="n">ColumnNullType</span><span class="o">.</span><span class="n">USE_BITMASK</span> <span class="ow">and</span> <span class="n">sentinel_val</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
+ <span class="k">return</span> <span class="n">pa</span><span class="o">.</span><span class="n">foreign_buffer</span><span class="p">(</span><span class="n">validity_buff</span><span class="o">.</span><span class="n">ptr</span><span class="p">,</span>
+ <span class="n">validity_buff</span><span class="o">.</span><span class="n">bufsize</span><span class="p">,</span>
+ <span class="n">base</span><span class="o">=</span><span class="n">validity_buff</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
+ <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">describe_null</span><span class="si">}</span><span class="s2"> null representation is not yet supported."</span><span class="p">)</span>
+
+
+<span class="k">def</span> <span class="nf">validity_buffer_nan_sentinel</span><span class="p">(</span>
+ <span class="n">data_pa_buffer</span><span class="p">:</span> <span class="n">BufferObject</span><span class="p">,</span>
+ <span class="n">data_type</span><span class="p">:</span> <span class="n">Dtype</span><span class="p">,</span>
+ <span class="n">describe_null</span><span class="p">:</span> <span class="n">ColumnNullType</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span>
+ <span class="n">offset</span><span class="p">:</span> <span class="nb">int</span> <span class="o">=</span> <span class="mi">0</span><span class="p">,</span>
+ <span class="n">allow_copy</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
+<span class="p">)</span> <span class="o">-></span> <span class="n">pa</span><span class="o">.</span><span class="n">Buffer</span><span class="p">:</span>
+<span class="w"> </span><span class="sd">"""</span>
+<span class="sd"> Build a PyArrow buffer from NaN or sentinel values.</span>
+
+<span class="sd"> Parameters</span>
+<span class="sd"> ----------</span>
+<span class="sd"> data_pa_buffer : pa.Buffer</span>
+<span class="sd"> PyArrow buffer for the column data.</span>
+<span class="sd"> data_type : Dtype</span>
+<span class="sd"> Dtype description as a tuple ``(kind, bit-width, format string,</span>
+<span class="sd"> endianness)``.</span>
+<span class="sd"> describe_null : ColumnNullType</span>
+<span class="sd"> Null representation the column dtype uses,</span>
+<span class="sd"> as a tuple ``(kind, value)``</span>
+<span class="sd"> length : int</span>
+<span class="sd"> The number of values in the array.</span>
+<span class="sd"> offset : int, default: 0</span>
+<span class="sd"> Number of elements to offset from the start of the buffer.</span>
+<span class="sd"> allow_copy : bool, default: True</span>
+<span class="sd"> Whether to allow copying the memory to perform the conversion</span>
+<span class="sd"> (if false then zero-copy approach is requested).</span>
+
+<span class="sd"> Returns</span>
+<span class="sd"> -------</span>
+<span class="sd"> pa.Buffer</span>
+<span class="sd"> """</span>
+ <span class="n">kind</span><span class="p">,</span> <span class="n">bit_width</span><span class="p">,</span> <span class="n">_</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">data_type</span>
+ <span class="n">data_dtype</span> <span class="o">=</span> <span class="n">map_date_type</span><span class="p">(</span><span class="n">data_type</span><span class="p">)</span>
+ <span class="n">null_kind</span><span class="p">,</span> <span class="n">sentinel_val</span> <span class="o">=</span> <span class="n">describe_null</span>
+
+ <span class="c1"># Check for float NaN values</span>
+ <span class="k">if</span> <span class="n">null_kind</span> <span class="o">==</span> <span class="n">ColumnNullType</span><span class="o">.</span><span class="n">USE_NAN</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">allow_copy</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
+ <span class="s2">"To create a bitmask a copy of the data is "</span>
+ <span class="s2">"required which is forbidden by allow_copy=False"</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">kind</span> <span class="o">==</span> <span class="n">DtypeKind</span><span class="o">.</span><span class="n">FLOAT</span> <span class="ow">and</span> <span class="n">bit_width</span> <span class="o">==</span> <span class="mi">16</span><span class="p">:</span>
+ <span class="c1"># 'pyarrow.compute.is_nan' kernel not yet implemented</span>
+ <span class="c1"># for float16</span>
+ <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
+ <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">data_type</span><span class="si">}</span><span class="s2"> with </span><span class="si">{</span><span class="n">null_kind</span><span class="si">}</span><span class="s2"> is not yet supported."</span><span class="p">)</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">pyarrow_data</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_buffers</span><span class="p">(</span>
+ <span class="n">data_dtype</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">,</span>
+ <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="n">data_pa_buffer</span><span class="p">],</span>
+ <span class="n">offset</span><span class="o">=</span><span class="n">offset</span><span class="p">,</span>
+ <span class="p">)</span>
+ <span class="n">mask</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">is_nan</span><span class="p">(</span><span class="n">pyarrow_data</span><span class="p">)</span>
+ <span class="n">mask</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">invert</span><span class="p">(</span><span class="n">mask</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">mask</span><span class="o">.</span><span class="n">buffers</span><span class="p">()[</span><span class="mi">1</span><span class="p">]</span>
+
+ <span class="c1"># Check for sentinel values</span>
+ <span class="k">elif</span> <span class="n">null_kind</span> <span class="o">==</span> <span class="n">ColumnNullType</span><span class="o">.</span><span class="n">USE_SENTINEL</span><span class="p">:</span>
+ <span class="k">if</span> <span class="ow">not</span> <span class="n">allow_copy</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">RuntimeError</span><span class="p">(</span>
+ <span class="s2">"To create a bitmask a copy of the data is "</span>
+ <span class="s2">"required which is forbidden by allow_copy=False"</span>
+ <span class="p">)</span>
+
+ <span class="k">if</span> <span class="n">kind</span> <span class="o">==</span> <span class="n">DtypeKind</span><span class="o">.</span><span class="n">DATETIME</span><span class="p">:</span>
+ <span class="n">sentinel_dtype</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">int64</span><span class="p">()</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="n">sentinel_dtype</span> <span class="o">=</span> <span class="n">data_dtype</span>
+ <span class="n">pyarrow_data</span> <span class="o">=</span> <span class="n">pa</span><span class="o">.</span><span class="n">Array</span><span class="o">.</span><span class="n">from_buffers</span><span class="p">(</span><span class="n">sentinel_dtype</span><span class="p">,</span>
+ <span class="n">length</span><span class="p">,</span>
+ <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="n">data_pa_buffer</span><span class="p">],</span>
+ <span class="n">offset</span><span class="o">=</span><span class="n">offset</span><span class="p">)</span>
+ <span class="n">sentinel_arr</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">equal</span><span class="p">(</span><span class="n">pyarrow_data</span><span class="p">,</span> <span class="n">sentinel_val</span><span class="p">)</span>
+ <span class="n">mask_bool</span> <span class="o">=</span> <span class="n">pc</span><span class="o">.</span><span class="n">invert</span><span class="p">(</span><span class="n">sentinel_arr</span><span class="p">)</span>
+ <span class="k">return</span> <span class="n">mask_bool</span><span class="o">.</span><span class="n">buffers</span><span class="p">()[</span><span class="mi">1</span><span class="p">]</span>
+
+ <span class="k">elif</span> <span class="n">null_kind</span> <span class="o">==</span> <span class="n">ColumnNullType</span><span class="o">.</span><span class="n">NON_NULLABLE</span><span class="p">:</span>
+ <span class="k">pass</span>
+ <span class="k">else</span><span class="p">:</span>
+ <span class="k">raise</span> <span class="ne">NotImplementedError</span><span class="p">(</span>
+ <span class="sa">f</span><span class="s2">"</span><span class="si">{</span><span class="n">describe_null</span><span class="si">}</span><span class="s2"> null representation is not yet supported."</span><span class="p">)</span>
+</pre></div>
</div>
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diff --git a/docs/dev/_modules/pyarrow/ipc.html b/docs/dev/_modules/pyarrow/ipc.html
index 1cb1f5a729c..942d8e94c2d 100644
--- a/docs/dev/_modules/pyarrow/ipc.html
+++ b/docs/dev/_modules/pyarrow/ipc.html
@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow.ipc — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow.ipc — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
@@ -92,7 +92,7 @@
<div id="version-button" class="dropdown">
<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
- 13.0.0.dev181
+ 13.0.0.dev193
<span class="caret"></span>
</button>
<div id="version_switcher" class="dropdown-menu list-group-flush py-0" aria-labelledby="version_switcher_button">
@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
Timestamps
@@ -1961,6 +1966,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
diff --git a/docs/dev/_modules/pyarrow/orc.html b/docs/dev/_modules/pyarrow/orc.html
index 3bb25203fcc..bec7ea2509a 100644
--- a/docs/dev/_modules/pyarrow/orc.html
+++ b/docs/dev/_modules/pyarrow/orc.html
@@ -5,7 +5,7 @@
<head>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
- <title>pyarrow.orc — Apache Arrow v13.0.0.dev181</title>
+ <title>pyarrow.orc — Apache Arrow v13.0.0.dev193</title>
<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
@@ -92,7 +92,7 @@
<div id="version-button" class="dropdown">
<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
- 13.0.0.dev181
+ 13.0.0.dev193
<span class="caret"></span>
</button>
<div id="version_switcher" class="dropdown-menu list-group-flush py-0" aria-labelledby="version_switcher_button">
@@ -818,6 +818,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
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+ </li>
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<a class="reference internal" href="../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
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+ pyarrow.interchange.from_dataframe
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pyarrow.Tensor
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
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+ <a class="reference internal" href="../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
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+ </li>
<li class="toctree-l4">
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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- <title>Architectural Overview — Apache Arrow v13.0.0.dev181</title>
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<link href="../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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- <title>Communication — Apache Arrow v13.0.0.dev181</title>
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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- <title>Working on the Arrow codebase 🧐 — Apache Arrow v13.0.0.dev181</title>
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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<meta charset="utf-8" />
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- <title>Building the Arrow libraries 🏋🏿♀️ — Apache Arrow v13.0.0.dev181</title>
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../../python/timestamps.html">
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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<meta charset="utf-8" />
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- <title>Steps in making your first PR — Apache Arrow v13.0.0.dev181</title>
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Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
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+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../../python/timestamps.html">
Timestamps
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pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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<meta charset="utf-8" />
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<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
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@@ -821,6 +821,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../../python/timestamps.html">
Timestamps
@@ -1964,6 +1969,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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<meta charset="utf-8" />
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- <title>Set up — Apache Arrow v13.0.0.dev181</title>
+ <title>Set up — Apache Arrow v13.0.0.dev193</title>
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<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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@@ -821,6 +821,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../../python/timestamps.html">
Timestamps
@@ -1964,6 +1969,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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<meta charset="utf-8" />
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- <title>Styling 😎 — Apache Arrow v13.0.0.dev181</title>
+ <title>Styling 😎 — Apache Arrow v13.0.0.dev193</title>
<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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@@ -821,6 +821,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
+ <a class="reference internal" href="../../../python/interchange_protocol.html">
+ Dataframe Interchange Protocol
+ </a>
+ </li>
<li class="toctree-l2">
<a class="reference internal" href="../../../python/timestamps.html">
Timestamps
@@ -1964,6 +1969,11 @@ function checkPageExistsAndRedirect(event) {
pyarrow.RecordBatchReader
</a>
</li>
+ <li class="toctree-l4">
+ <a class="reference internal" href="../../../python/generated/pyarrow.interchange.from_dataframe.html">
+ pyarrow.interchange.from_dataframe
+ </a>
+ </li>
<li class="toctree-l4">
<a class="reference internal" href="../../../python/generated/pyarrow.Tensor.html">
pyarrow.Tensor
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<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" /><meta name="generator" content="Docutils 0.19: https://docutils.sourceforge.io/" />
- <title>Testing 🧪 — Apache Arrow v13.0.0.dev181</title>
+ <title>Testing 🧪 — Apache Arrow v13.0.0.dev193</title>
<link href="../../../_static/styles/theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
<link href="../../../_static/styles/pydata-sphinx-theme.css?digest=1999514e3f237ded88cf" rel="stylesheet">
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<div id="version-button" class="dropdown">
<button type="button" class="btn btn-secondary btn-sm navbar-btn dropdown-toggle" id="version_switcher_button" data-toggle="dropdown">
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<span class="caret"></span>
</button>
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@@ -821,6 +821,11 @@ function checkPageExistsAndRedirect(event) {
Pandas Integration
</a>
</li>
+ <li class="toctree-l2">
... 93382 lines suppressed ...