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new dc93aa29 Publish built docs triggered by
3dfd6ee5d9ba7de0896f195cef5bc16b4d5f0dd0
dc93aa29 is described below
commit dc93aa29d3bfea43036f8185144f5360a10e39fa
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Tue Mar 17 20:39:15 2026 +0000
Publish built docs triggered by 3dfd6ee5d9ba7de0896f195cef5bc16b4d5f0dd0
---
.../autoapi/datafusion/functions/index.rst.txt | 142 +++++++++++++++++
autoapi/datafusion/functions/index.html | 176 +++++++++++++++++++++
searchindex.js | 2 +-
user-guide/common-operations/aggregations.html | 30 ++--
user-guide/common-operations/basic-info.html | 34 ++--
user-guide/common-operations/functions.html | 20 +--
6 files changed, 361 insertions(+), 43 deletions(-)
diff --git a/_sources/autoapi/datafusion/functions/index.rst.txt
b/_sources/autoapi/datafusion/functions/index.rst.txt
index a8d261db..0b25cf15 100644
--- a/_sources/autoapi/datafusion/functions/index.rst.txt
+++ b/_sources/autoapi/datafusion/functions/index.rst.txt
@@ -344,6 +344,15 @@ Module Contents
:param expression: Values to check for distinct entries
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1, 1, 2, 3]})
+ >>> result = df.aggregate(
+ ... [], [dfn.functions.approx_distinct(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py() == 3
+ True
+
.. py:function:: approx_median(expression: datafusion.expr.Expr, filter:
datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -358,6 +367,15 @@ Module Contents
:param expression: Values to find the median for
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1.0, 2.0, 3.0]})
+ >>> result = df.aggregate(
+ ... [], [dfn.functions.approx_median(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 2.0
+
.. py:function:: approx_percentile_cont(sort_expression: datafusion.expr.Expr
| datafusion.expr.SortExpr, percentile: float, num_centroids: int | None =
None, filter: datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -381,6 +399,15 @@ Module Contents
:param num_centroids: Max bin size for the t-digest algorithm
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1.0, 2.0, 3.0, 4.0, 5.0]})
+ >>> result = df.aggregate(
+ ... [], [dfn.functions.approx_percentile_cont(dfn.col("a"),
0.5).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 3.0
+
.. py:function:: approx_percentile_cont_with_weight(sort_expression:
datafusion.expr.Expr | datafusion.expr.SortExpr, weight: datafusion.expr.Expr,
percentile: float, num_centroids: int | None = None, filter:
datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -398,6 +425,16 @@ Module Contents
:param num_centroids: Max bin size for the t-digest algorithm
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1.0, 2.0, 3.0], "w": [1.0, 1.0, 1.0]})
+ >>> result = df.aggregate(
+ ... [], [dfn.functions.approx_percentile_cont_with_weight(dfn.col("a"),
+ ... dfn.col("w"), 0.5).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 2.0
+
.. py:function:: array(*args: datafusion.expr.Expr) -> datafusion.expr.Expr
@@ -758,6 +795,14 @@ Module Contents
:param expression: Values to combine into an array
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1.0, 2.0, 3.0]})
+ >>> result = df.aggregate([], [dfn.functions.avg(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 2.0
+
.. py:function:: bit_and(expression: datafusion.expr.Expr, filter:
datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -771,6 +816,14 @@ Module Contents
:param expression: Argument to perform bitwise calculation on
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [7, 3]})
+ >>> result = df.aggregate([],
[dfn.functions.bit_and(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 3
+
.. py:function:: bit_length(arg: datafusion.expr.Expr) -> datafusion.expr.Expr
@@ -789,6 +842,14 @@ Module Contents
:param expression: Argument to perform bitwise calculation on
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1, 2]})
+ >>> result = df.aggregate([],
[dfn.functions.bit_or(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 3
+
.. py:function:: bit_xor(expression: datafusion.expr.Expr, distinct: bool =
False, filter: datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -803,6 +864,14 @@ Module Contents
:param distinct: If True, evaluate each unique value of expression only once
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [5, 3]})
+ >>> result = df.aggregate([],
[dfn.functions.bit_xor(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 6
+
.. py:function:: bool_and(expression: datafusion.expr.Expr, filter:
datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -817,6 +886,14 @@ Module Contents
:param expression: Argument to perform calculation on
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [True, True, False]})
+ >>> result = df.aggregate([],
[dfn.functions.bool_and(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ False
+
.. py:function:: bool_or(expression: datafusion.expr.Expr, filter:
datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -831,6 +908,14 @@ Module Contents
:param expression: Argument to perform calculation on
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [False, False, True]})
+ >>> result = df.aggregate([],
[dfn.functions.bool_or(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ True
+
.. py:function:: btrim(arg: datafusion.expr.Expr) -> datafusion.expr.Expr
@@ -1033,6 +1118,14 @@ Module Contents
:param distinct: If True, a single entry for each distinct value will be in
the result
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1, 2, 3]})
+ >>> result = df.aggregate([],
[dfn.functions.count(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 3
+
.. py:function:: count_star(filter: datafusion.expr.Expr | None = None) ->
datafusion.expr.Expr
@@ -1839,6 +1932,14 @@ Module Contents
:param expression: The value to find the maximum of
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1, 2, 3]})
+ >>> result = df.aggregate([], [dfn.functions.max(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 3
+
.. py:function:: md5(arg: datafusion.expr.Expr) -> datafusion.expr.Expr
@@ -1859,6 +1960,14 @@ Module Contents
This is an alias for :py:func:`avg`.
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1.0, 2.0, 3.0]})
+ >>> result = df.aggregate([], [dfn.functions.mean(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 2.0
+
.. py:function:: median(expression: datafusion.expr.Expr, distinct: bool =
False, filter: datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -1874,6 +1983,14 @@ Module Contents
:param distinct: If True, a single entry for each distinct value will be in
the result
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1.0, 2.0, 3.0]})
+ >>> result = df.aggregate([],
[dfn.functions.median(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 2.0
+
.. py:function:: min(expression: datafusion.expr.Expr, filter:
datafusion.expr.Expr | None = None) -> datafusion.expr.Expr
@@ -1885,6 +2002,14 @@ Module Contents
:param expression: The value to find the minimum of
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1, 2, 3]})
+ >>> result = df.aggregate([], [dfn.functions.min(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 1
+
.. py:function:: named_struct(name_pairs: list[tuple[str,
datafusion.expr.Expr]]) -> datafusion.expr.Expr
@@ -2663,6 +2788,15 @@ Module Contents
df.aggregate([], string_agg(col("a"), ",", order_by="b"))
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": ["x", "y", "z"]})
+ >>> result = df.aggregate(
+ ... [], [dfn.functions.string_agg(dfn.col("a"), ",",
order_by="a").alias("s")])
+ >>> result.collect_column("s")[0].as_py()
+ 'x,y,z'
+
.. py:function:: strpos(string: datafusion.expr.Expr, substring:
datafusion.expr.Expr) -> datafusion.expr.Expr
@@ -2720,6 +2854,14 @@ Module Contents
:param expression: Values to combine into an array
:param filter: If provided, only compute against rows for which the filter
is True
+ Examples:
+ ---------
+ >>> ctx = dfn.SessionContext()
+ >>> df = ctx.from_pydict({"a": [1, 2, 3]})
+ >>> result = df.aggregate([], [dfn.functions.sum(dfn.col("a")).alias("v")])
+ >>> result.collect_column("v")[0].as_py()
+ 6
+
.. py:function:: tan(arg: datafusion.expr.Expr) -> datafusion.expr.Expr
diff --git a/autoapi/datafusion/functions/index.html
b/autoapi/datafusion/functions/index.html
index 9554b2b5..14bae86d 100644
--- a/autoapi/datafusion/functions/index.html
+++ b/autoapi/datafusion/functions/index.html
@@ -3521,6 +3521,17 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="examples">
+<h3>Examples:<a class="headerlink" href="#examples" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mi">1</span><span class="p">,</span> <span
class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span
class="p">,</span> <span class="mi">3</span><span class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">(</span>
+<span class="gp">... </span> <span class="p">[],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">approx_distinct</span><span class="p">(</span><span
class="n">dfn</span><span class="o">.</span><span class="n">col</span><span
class="p">(</span><span class="s2">"a"</span><span
class="p">))</span><span class="o">.</span><span class="n">alias</span><span
class="p">(</span><sp [...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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">3</span>
+<span class="go">True</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -3539,6 +3550,17 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id1">
+<h3>Examples:<a class="headerlink" href="#id1" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span
class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span
class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">(</span>
+<span class="gp">... </span> <span class="p">[],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">approx_median</span><span class="p">(</span><span
class="n">dfn</span><span class="o">.</span><span class="n">col</span><span
class="p">(</span><span class="s2">"a"</span><span
class="p">))</span><span class="o">.</span><span class="n">alias</span><span
class="p">(</span><span [...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">2.0</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -3565,6 +3587,17 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id2">
+<h3>Examples:<a class="headerlink" href="#id2" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span
class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span
class="p">,</span> <span class="mf">4.0</span><span class="p">,</span> < [...]
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">(</span>
+<span class="gp">... </span> <span class="p">[],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">approx_percentile_cont</span><span class="p">(</span><span
class="n">dfn</span><span class="o">.</span><span class="n">col</span><span
class="p">(</span><span class="s2">"a"</span><span
class="p">),</span> <span class="mf">0.5</span><span class="p">)</span><span
class="o">.</s [...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">3.0</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -3586,6 +3619,18 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id3">
+<h3>Examples:<a class="headerlink" href="#id3" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span
class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span
class="p">],</span> <span class="s2">"w"</span><span class="p" [...]
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">(</span>
+<span class="gp">... </span> <span class="p">[],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">approx_percentile_cont_with_weight</span><span
class="p">(</span><span class="n">dfn</span><span class="o">.</span><span
class="n">col</span><span class="p">(</span><span
class="s2">"a"</span><span class="p">),</span>
+<span class="gp">... </span> <span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span
class="s2">"w"</span><span class="p">),</span> <span
class="mf">0.5</span><span class="p">)</span><span class="o">.</span><span
class="n">alias</span><span class="p">(</span><span
class="s2">"v"</span><span class="p">)])</span>
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">2.0</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -3995,6 +4040,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id4">
+<h3>Examples:<a class="headerlink" href="#id4" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span
class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span
class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">avg</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span class
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">2.0</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -4012,6 +4067,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id5">
+<h3>Examples:<a class="headerlink" href="#id5" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mi">7</span><span class="p">,</span> <span
class="mi">3</span><span class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">bit_and</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span c
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">3</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -4035,6 +4100,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id6">
+<h3>Examples:<a class="headerlink" href="#id6" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mi">1</span><span class="p">,</span> <span
class="mi">2</span><span class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">bit_or</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span cl
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">3</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -4053,6 +4128,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id7">
+<h3>Examples:<a class="headerlink" href="#id7" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mi">5</span><span class="p">,</span> <span
class="mi">3</span><span class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">bit_xor</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span c
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">6</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -4071,6 +4156,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id8">
+<h3>Examples:<a class="headerlink" href="#id8" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="kc">True</span><span class="p">,</span> <span
class="kc">True</span><span class="p">,</span> <span
class="kc">False</span><span class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">bool_and</span><span class="p">(</span><span
class="n">dfn</span><span class="o">.</span><span class="n">col</span><span
class="p">(</span><span [...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">False</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -4089,6 +4184,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id9">
+<h3>Examples:<a class="headerlink" href="#id9" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="kc">False</span><span class="p">,</span> <span
class="kc">False</span><span class="p">,</span> <span
class="kc">True</span><span class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">bool_or</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span c
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">True</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -4311,6 +4416,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id10">
+<h3>Examples:<a class="headerlink" href="#id10" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mi">1</span><span class="p">,</span> <span
class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span
class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">count</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span cla
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">3</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -5195,6 +5310,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id11">
+<h3>Examples:<a class="headerlink" href="#id11" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mi">1</span><span class="p">,</span> <span
class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span
class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">max</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span class
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">3</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -5216,6 +5341,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
<span class="sig-prename descclassname"><span
class="pre">datafusion.functions.</span></span><span class="sig-name
descname"><span class="pre">mean</span></span><span
class="sig-paren">(</span><em class="sig-param"><span class="n"><span
class="pre">expression</span></span><span class="p"><span
class="pre">:</span></span><span class="w"> </span><span class="n"><a
class="reference internal" href="../expr/index.html#datafusion.expr.Expr"
title="datafusion.expr.Expr"><span class="pre">datafu [...]
<dd><p>Returns the average (mean) value of the argument.</p>
<p>This is an alias for <a class="reference internal"
href="#datafusion.functions.avg" title="datafusion.functions.avg"><code
class="xref py py-func docutils literal notranslate"><span
class="pre">avg()</span></code></a>.</p>
+<section id="id12">
+<h3>Examples:<a class="headerlink" href="#id12" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span
class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span
class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">mean</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span clas
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">2.0</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -5235,6 +5370,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id13">
+<h3>Examples:<a class="headerlink" href="#id13" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mf">1.0</span><span class="p">,</span> <span
class="mf">2.0</span><span class="p">,</span> <span class="mf">3.0</span><span
class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">median</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span cl
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">2.0</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -5251,6 +5396,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id14">
+<h3>Examples:<a class="headerlink" href="#id14" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mi">1</span><span class="p">,</span> <span
class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span
class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">min</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span class
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">1</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -6134,6 +6289,17 @@ column names or expressions.</p></li>
<div class="highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="n">df</span><span
class="o">.</span><span class="n">aggregate</span><span class="p">([],</span>
<span class="n">string_agg</span><span class="p">(</span><span
class="n">col</span><span class="p">(</span><span
class="s2">"a"</span><span class="p">),</span> <span
class="s2">","</span><span class="p">,</span> <span
class="n">order_by</span><span class="o">=</span><span class= [...]
</pre></div>
</div>
+<section id="id15">
+<h3>Examples:<a class="headerlink" href="#id15" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="s2">"x"</span><span class="p">,</span>
<span class="s2">"y"</span><span class="p">,</span> <span
class="s2">"z"</span><span class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">(</span>
+<span class="gp">... </span> <span class="p">[],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">string_agg</span><span class="p">(</span><span
class="n">dfn</span><span class="o">.</span><span class="n">col</span><span
class="p">(</span><span class="s2">"a"</span><span
class="p">),</span> <span class="s2">","</span><span
class="p">,</span> <span class="n">order [...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"s"</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="go">'x,y,z'</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
@@ -6199,6 +6365,16 @@ the options <code class="docutils literal
notranslate"><span class="pre">order_b
</ul>
</dd>
</dl>
+<section id="id16">
+<h3>Examples:<a class="headerlink" href="#id16" title="Link to this
heading">¶</a></h3>
+<div class="doctest highlight-default notranslate"><div
class="highlight"><pre><span></span><span class="gp">>>> </span><span
class="n">ctx</span> <span class="o">=</span> <span class="n">dfn</span><span
class="o">.</span><span class="n">SessionContext</span><span class="p">()</span>
+<span class="gp">>>> </span><span class="n">df</span> <span
class="o">=</span> <span class="n">ctx</span><span class="o">.</span><span
class="n">from_pydict</span><span class="p">({</span><span
class="s2">"a"</span><span class="p">:</span> <span
class="p">[</span><span class="mi">1</span><span class="p">,</span> <span
class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span
class="p">]})</span>
+<span class="gp">>>> </span><span class="n">result</span> <span
class="o">=</span> <span class="n">df</span><span class="o">.</span><span
class="n">aggregate</span><span class="p">([],</span> <span
class="p">[</span><span class="n">dfn</span><span class="o">.</span><span
class="n">functions</span><span class="o">.</span><span
class="n">sum</span><span class="p">(</span><span class="n">dfn</span><span
class="o">.</span><span class="n">col</span><span class="p">(</span><span class
[...]
+<span class="gp">>>> </span><span class="n">result</span><span
class="o">.</span><span class="n">collect_column</span><span
class="p">(</span><span class="s2">"v"</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="go">6</span>
+</pre></div>
+</div>
+</section>
</dd></dl>
<dl class="py function">
diff --git a/searchindex.js b/searchindex.js
index 0ce2ea93..98e1906b 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"API Reference": [[19, null]], "Additional
Resources": [[37, "additional-resources"]], "Aggregate Functions": [[24,
"aggregate-functions"], [31, "aggregate-functions"], [33,
"aggregate-functions"]], "Aggregation": [[24, null]], "Alternative Approach":
[[20, "alternative-approach"]], "Apache Iceberg": [[35, "apache-iceberg"]],
"Arrays": [[26, "arrays"]], "Arrow": [[39, null]], "Attributes": [[4,
"attributes"], [5, "attributes"], [7, "attributes"], [12, "attr [...]
\ No newline at end of file
+Search.setIndex({"alltitles": {"API Reference": [[19, null]], "Additional
Resources": [[37, "additional-resources"]], "Aggregate Functions": [[24,
"aggregate-functions"], [31, "aggregate-functions"], [33,
"aggregate-functions"]], "Aggregation": [[24, null]], "Alternative Approach":
[[20, "alternative-approach"]], "Apache Iceberg": [[35, "apache-iceberg"]],
"Arrays": [[26, "arrays"]], "Arrow": [[39, null]], "Attributes": [[4,
"attributes"], [5, "attributes"], [7, "attributes"], [12, "attr [...]
\ No newline at end of file
diff --git a/user-guide/common-operations/aggregations.html
b/user-guide/common-operations/aggregations.html
index 3e01f8b8..78e30ac3 100644
--- a/user-guide/common-operations/aggregations.html
+++ b/user-guide/common-operations/aggregations.html
@@ -620,15 +620,15 @@ Pokemon set. Since there will be many entries of <code
class="docutils literal n
<span
class="o">+----------+--------------------------------------------------+</span>
<span class="o">|</span> <span class="n">Type</span> <span class="mi">1</span>
<span class="o">|</span> <span class="n">Type</span> <span
class="mi">2</span> <span class="n">List</span>
<span class="o">|</span>
<span
class="o">+----------+--------------------------------------------------+</span>
-<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Poison</span><span
class="p">,</span> <span class="n">Grass</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Grass</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">,</span> <span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Poison</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Ground</span><span
class="p">]</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Steel</span><span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Steel</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="p">]</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">Fairy</span> <span
class="o">|</span> <span class="p">[]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Fairy</span><span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Fairy</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Flying</span><span
class="p">]</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">Ice</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Psychic</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Poison</span><span
class="p">]</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Dragon</span><span
class="p">,</span> <span class="p">,</span> <span class="n">Flying</span><span
class="p">]</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Dark</span><span
class="p">,</span> <span class="n">Fighting</span><span class="p">,</span>
<span class="p">,</span> <span class="n">Psychic</span><span class="p">,</span>
<span class="n">Flying</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">,</span> <span class="n">Ice</span><span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[,</span> <span class="n">Dragon</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Fighting</span><span
class="p">,</span> <span class="n">Ice</span><span class="p">,</span> <span
class="p">,</span> <span class="n">Dark</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">,</span> <span
class="n">Psychic</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">]</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">Ground</span> <span
class="o">|</span> <span class="p">[,</span> <span class="n">Rock</span><span
class="p">]</span> <span
class="o">|</span>
<span
class="o">+----------+--------------------------------------------------+</span>
<span class="n">Data</span> <span class="n">truncated</span><span
class="o">.</span>
@@ -644,15 +644,15 @@ entries entirely removed. The second is we can use the
<code class="docutils lit
<span
class="o">+----------+------------------------------------------------+</span>
<span class="o">|</span> <span class="n">Type</span> <span class="mi">1</span>
<span class="o">|</span> <span class="n">Type</span> <span
class="mi">2</span> <span class="n">List</span>
<span class="o">|</span>
<span
class="o">+----------+------------------------------------------------+</span>
-<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Poison</span><span class="p">,</span> <span
class="n">Grass</span><span class="p">]</span> <span
class="o">|</span>
+<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Grass</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">]</span> <span
class="o">|</span>
<span class="o">|</span> <span class="n">Poison</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Ground</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Steel</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Fairy</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Ice</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Psychic</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Steel</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Fairy</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Ice</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Psychic</span><span
class="p">,</span> <span class="n">Poison</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Dragon</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Ice</span><span class="p">,</span> <span
class="n">Fighting</span><span class="p">,</span> <span
class="n">Psychic</span><span class="p">,</span> <span
class="n">Dark</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">]</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">Rock</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Water</span><span class="p">,</span> <span
class="n">Ground</span><span class="p">]</span> <span
class="o">|</span>
+<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Fighting</span><span
class="p">,</span> <span class="n">Ice</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">,</span> <span
class="n">Dark</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">,</span> <span
class="n">Psychic</span><span class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Rock</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Water</span><span
class="p">,</span> <span class="n">Ground</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">]</span> <span
class="o">|</span>
<span class="o">|</span> <span class="n">Ghost</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">]</span> <span
class="o">|</span>
<span
class="o">+----------+------------------------------------------------+</span>
<span class="n">Data</span> <span class="n">truncated</span><span
class="o">.</span>
@@ -663,15 +663,15 @@ entries entirely removed. The second is we can use the
<code class="docutils lit
<span
class="o">+----------+------------------------------------------------+</span>
<span class="o">|</span> <span class="n">Type</span> <span class="mi">1</span>
<span class="o">|</span> <span class="n">Type</span> <span
class="mi">2</span> <span class="n">List</span>
<span class="o">|</span>
<span
class="o">+----------+------------------------------------------------+</span>
-<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">,</span> <span
class="n">Grass</span><span class="p">]</span> <span
class="o">|</span>
+<span class="o">|</span> <span class="n">Bug</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Grass</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">]</span> <span
class="o">|</span>
<span class="o">|</span> <span class="n">Poison</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Ground</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Electric</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Steel</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Fairy</span> <span
class="o">|</span> <span
class="o">|</span>
<span class="o">|</span> <span class="n">Normal</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Fairy</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Ice</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
<span class="o">|</span> <span class="n">Grass</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Poison</span><span
class="p">,</span> <span class="n">Psychic</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Dragon</span><span
class="p">,</span> <span class="n">Flying</span><span class="p">]</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Fighting</span><span
class="p">,</span> <span class="n">Poison</span><span class="p">,</span> <span
class="n">Flying</span><span class="p">,</span> <span
class="n">Psychic</span><span class="p">,</span> <span
class="n">Dark</span><span class="p">,</span> <span class="n">Ice</span><span
class="p">]</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">Fire</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Dragon</span><span class="p">]</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="n">Water</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Flying</span><span
class="p">,</span> <span class="n">Dark</span><span class="p">,</span> <span
class="n">Ice</span><span class="p">,</span> <span
class="n">Psychic</span><span class="p">,</span> <span
class="n">Fighting</span><span class="p">,</span> <span
class="n">Poison</span><span class="p">]</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">Ground</span> <span
class="o">|</span> <span class="p">[</span><span class="n">Rock</span><span
class="p">]</span> <span
class="o">|</span>
<span
class="o">+----------+------------------------------------------------+</span>
<span class="n">Data</span> <span class="n">truncated</span><span
class="o">.</span>
diff --git a/user-guide/common-operations/basic-info.html
b/user-guide/common-operations/basic-info.html
index 57b0e37f..8300b0b2 100644
--- a/user-guide/common-operations/basic-info.html
+++ b/user-guide/common-operations/basic-info.html
@@ -456,11 +456,11 @@
<span class="o">+-----+---------+--------+--------+</span>
<span class="o">|</span> <span class="n">nrs</span> <span class="o">|</span>
<span class="n">names</span> <span class="o">|</span> <span
class="n">random</span> <span class="o">|</span> <span class="n">groups</span>
<span class="o">|</span>
<span class="o">+-----+---------+--------+--------+</span>
-<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span>
<span class="n">python</span> <span class="o">|</span> <span
class="mi">293</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="n">ruby</span> <span class="o">|</span> <span
class="mi">752</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">3</span> <span class="o">|</span>
<span class="n">java</span> <span class="o">|</span> <span
class="mi">380</span> <span class="o">|</span> <span class="n">B</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">4</span> <span class="o">|</span>
<span class="n">haskell</span> <span class="o">|</span> <span
class="mi">517</span> <span class="o">|</span> <span class="n">C</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">5</span> <span class="o">|</span>
<span class="n">go</span> <span class="o">|</span> <span
class="mi">995</span> <span class="o">|</span> <span class="n">B</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span>
<span class="n">python</span> <span class="o">|</span> <span
class="mi">438</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="n">ruby</span> <span class="o">|</span> <span
class="mi">76</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">3</span> <span class="o">|</span>
<span class="n">java</span> <span class="o">|</span> <span
class="mi">896</span> <span class="o">|</span> <span class="n">B</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">4</span> <span class="o">|</span>
<span class="n">haskell</span> <span class="o">|</span> <span
class="mi">151</span> <span class="o">|</span> <span class="n">C</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">5</span> <span class="o">|</span>
<span class="n">go</span> <span class="o">|</span> <span
class="mi">571</span> <span class="o">|</span> <span class="n">B</span>
<span class="o">|</span>
<span class="o">+-----+---------+--------+--------+</span>
</pre></div>
</div>
@@ -471,8 +471,8 @@
<span class="o">+-----+--------+--------+--------+</span>
<span class="o">|</span> <span class="n">nrs</span> <span class="o">|</span>
<span class="n">names</span> <span class="o">|</span> <span
class="n">random</span> <span class="o">|</span> <span class="n">groups</span>
<span class="o">|</span>
<span class="o">+-----+--------+--------+--------+</span>
-<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span>
<span class="n">python</span> <span class="o">|</span> <span
class="mi">293</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
-<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="n">ruby</span> <span class="o">|</span> <span
class="mi">752</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">1</span> <span class="o">|</span>
<span class="n">python</span> <span class="o">|</span> <span
class="mi">438</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
+<span class="o">|</span> <span class="mi">2</span> <span class="o">|</span>
<span class="n">ruby</span> <span class="o">|</span> <span
class="mi">76</span> <span class="o">|</span> <span class="n">A</span>
<span class="o">|</span>
<span class="o">+-----+--------+--------+--------+</span>
</pre></div>
</div>
@@ -490,11 +490,11 @@ passing them to an Arrow table, and then converting them
to a pandas DataFrame.<
<div class="highlight-ipython notranslate"><div
class="highlight"><pre><span></span><span class="n">In</span> <span
class="p">[</span><span class="mi">8</span><span class="p">]:</span> <span
class="n">df</span><span class="o">.</span><span
class="n">to_pandas</span><span class="p">()</span>
<span class="n">Out</span><span class="p">[</span><span
class="mi">8</span><span class="p">]:</span>
<span class="n">nrs</span> <span class="n">names</span> <span
class="n">random</span> <span class="n">groups</span>
-<span class="mi">0</span> <span class="mi">1</span> <span
class="n">python</span> <span class="mi">293</span> <span
class="n">A</span>
-<span class="mi">1</span> <span class="mi">2</span> <span
class="n">ruby</span> <span class="mi">752</span> <span
class="n">A</span>
-<span class="mi">2</span> <span class="mi">3</span> <span
class="n">java</span> <span class="mi">380</span> <span
class="n">B</span>
-<span class="mi">3</span> <span class="mi">4</span> <span
class="n">haskell</span> <span class="mi">517</span> <span
class="n">C</span>
-<span class="mi">4</span> <span class="mi">5</span> <span
class="n">go</span> <span class="mi">995</span> <span
class="n">B</span>
+<span class="mi">0</span> <span class="mi">1</span> <span
class="n">python</span> <span class="mi">438</span> <span
class="n">A</span>
+<span class="mi">1</span> <span class="mi">2</span> <span
class="n">ruby</span> <span class="mi">76</span> <span
class="n">A</span>
+<span class="mi">2</span> <span class="mi">3</span> <span
class="n">java</span> <span class="mi">896</span> <span
class="n">B</span>
+<span class="mi">3</span> <span class="mi">4</span> <span
class="n">haskell</span> <span class="mi">151</span> <span
class="n">C</span>
+<span class="mi">4</span> <span class="mi">5</span> <span
class="n">go</span> <span class="mi">571</span> <span
class="n">B</span>
</pre></div>
</div>
<p><a class="reference internal"
href="../../autoapi/datafusion/dataframe/index.html#datafusion.dataframe.DataFrame.describe"
title="datafusion.dataframe.DataFrame.describe"><code class="xref py py-func
docutils literal notranslate"><span class="pre">describe()</span></code></a>
shows a quick statistic summary of your data:</p>
@@ -506,11 +506,11 @@ passing them to an Arrow table, and then converting them
to a pandas DataFrame.<
<span
class="o">+------------+--------------------+-------+--------------------+--------+</span>
<span class="o">|</span> <span class="n">count</span> <span
class="o">|</span> <span class="mf">5.0</span> <span
class="o">|</span> <span class="mi">5</span> <span class="o">|</span> <span
class="mf">5.0</span> <span class="o">|</span> <span
class="mi">5</span> <span class="o">|</span>
<span class="o">|</span> <span class="n">null_count</span> <span
class="o">|</span> <span class="mf">0.0</span> <span
class="o">|</span> <span class="mi">0</span> <span class="o">|</span> <span
class="mf">0.0</span> <span class="o">|</span> <span
class="mi">0</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">mean</span> <span
class="o">|</span> <span class="mf">3.0</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">587.4</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">std</span> <span
class="o">|</span> <span class="mf">1.5811388300841898</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">286.30106531411997</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
-<span class="o">|</span> <span class="nb">min</span> <span
class="o">|</span> <span class="mf">1.0</span> <span
class="o">|</span> <span class="n">go</span> <span class="o">|</span> <span
class="mf">293.0</span> <span class="o">|</span> <span
class="n">A</span> <span class="o">|</span>
-<span class="o">|</span> <span class="nb">max</span> <span
class="o">|</span> <span class="mf">5.0</span> <span
class="o">|</span> <span class="n">ruby</span> <span class="o">|</span> <span
class="mf">995.0</span> <span class="o">|</span> <span
class="n">C</span> <span class="o">|</span>
-<span class="o">|</span> <span class="n">median</span> <span
class="o">|</span> <span class="mf">3.0</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">517.0</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">mean</span> <span
class="o">|</span> <span class="mf">3.0</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">426.4</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">std</span> <span
class="o">|</span> <span class="mf">1.5811388300841898</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">331.73528603390986</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
+<span class="o">|</span> <span class="nb">min</span> <span
class="o">|</span> <span class="mf">1.0</span> <span
class="o">|</span> <span class="n">go</span> <span class="o">|</span> <span
class="mf">76.0</span> <span class="o">|</span> <span
class="n">A</span> <span class="o">|</span>
+<span class="o">|</span> <span class="nb">max</span> <span
class="o">|</span> <span class="mf">5.0</span> <span
class="o">|</span> <span class="n">ruby</span> <span class="o">|</span> <span
class="mf">896.0</span> <span class="o">|</span> <span
class="n">C</span> <span class="o">|</span>
+<span class="o">|</span> <span class="n">median</span> <span
class="o">|</span> <span class="mf">3.0</span> <span
class="o">|</span> <span class="n">null</span> <span class="o">|</span> <span
class="mf">438.0</span> <span class="o">|</span> <span
class="n">null</span> <span class="o">|</span>
<span
class="o">+------------+--------------------+-------+--------------------+--------+</span>
</pre></div>
</div>
diff --git a/user-guide/common-operations/functions.html
b/user-guide/common-operations/functions.html
index 7adda9f8..4b7d990f 100644
--- a/user-guide/common-operations/functions.html
+++ b/user-guide/common-operations/functions.html
@@ -566,16 +566,16 @@ In here we will cover some of the more popular use cases.
If you want to view al
<span class="o">+-------------------------------+</span>
<span class="o">|</span> <span class="n">now</span><span class="p">()</span>
<span class="o">|</span>
<span class="o">+-------------------------------+</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
-<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T06</span><span class="p">:</span><span
class="mi">54</span><span class="p">:</span><span
class="mf">50.863574234</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
+<span class="o">|</span> <span class="mi">2026</span><span
class="o">-</span><span class="mi">03</span><span class="o">-</span><span
class="mi">17</span><span class="n">T20</span><span class="p">:</span><span
class="mi">39</span><span class="p">:</span><span
class="mf">01.807246853</span> <span class="o">|</span>
<span class="o">+-------------------------------+</span>
<span class="n">Data</span> <span class="n">truncated</span><span
class="o">.</span>
</pre></div>
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