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new d76ba164f7 Publish built docs triggered by
30a6ed557d4c695c00de4f081cef36c4122e9f7f
d76ba164f7 is described below
commit d76ba164f7a69b41da53a70338d1c45107deb7c0
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Fri Jun 21 17:14:19 2024 +0000
Publish built docs triggered by 30a6ed557d4c695c00de4f081cef36c4122e9f7f
---
_sources/user-guide/dataframe.md.txt | 1 +
searchindex.js | 2 +-
user-guide/dataframe.html | 33 ++++++++++++++++++---------------
3 files changed, 20 insertions(+), 16 deletions(-)
diff --git a/_sources/user-guide/dataframe.md.txt
b/_sources/user-guide/dataframe.md.txt
index 744a719e77..f011e68fad 100644
--- a/_sources/user-guide/dataframe.md.txt
+++ b/_sources/user-guide/dataframe.md.txt
@@ -64,6 +64,7 @@ execution. The plan is evaluated (executed) when an action
method is invoked, su
| ------------------- |
------------------------------------------------------------------------------------------------------------------------------------------
|
| aggregate | Perform an aggregate query with optional grouping
expressions.
|
| distinct | Filter out duplicate rows.
|
+| distinct_on | Filter out duplicate rows based on provided
expressions.
|
| drop_columns | Create a projection with all but the provided column
names.
|
| except | Calculate the exception of two DataFrames. The two
DataFrames must have exactly the same schema
|
| filter | Filter a DataFrame to only include rows that match the
specified filter expression.
|
diff --git a/searchindex.js b/searchindex.js
index 8dc885bb55..93a420ed41 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"!=": [[43, "op-neq"]], "!~": [[43,
"op-re-not-match"]], "!~*": [[43, "op-re-not-match-i"]], "!~~": [[43, "id18"]],
"!~~*": [[43, "id19"]], "#": [[43, "op-bit-xor"]], "%": [[43, "op-modulo"]],
"&": [[43, "op-bit-and"]], "(relation, name) tuples in logical fields and
logical columns are unique": [[10,
"relation-name-tuples-in-logical-fields-and-logical-columns-are-unique"]], "*":
[[43, "op-multiply"]], "+": [[43, "op-plus"]], "-": [[43, "op-minus"]], "/": [[
[...]
\ No newline at end of file
+Search.setIndex({"alltitles": {"!=": [[43, "op-neq"]], "!~": [[43,
"op-re-not-match"]], "!~*": [[43, "op-re-not-match-i"]], "!~~": [[43, "id18"]],
"!~~*": [[43, "id19"]], "#": [[43, "op-bit-xor"]], "%": [[43, "op-modulo"]],
"&": [[43, "op-bit-and"]], "(relation, name) tuples in logical fields and
logical columns are unique": [[10,
"relation-name-tuples-in-logical-fields-and-logical-columns-are-unique"]], "*":
[[43, "op-multiply"]], "+": [[43, "op-plus"]], "-": [[43, "op-minus"]], "/": [[
[...]
\ No newline at end of file
diff --git a/user-guide/dataframe.html b/user-guide/dataframe.html
index 34c2869b1f..f9ce094437 100644
--- a/user-guide/dataframe.html
+++ b/user-guide/dataframe.html
@@ -574,49 +574,52 @@ execution. The plan is evaluated (executed) when an
action method is invoked, su
<tr class="row-odd"><td><p>distinct</p></td>
<td><p>Filter out duplicate rows.</p></td>
</tr>
-<tr class="row-even"><td><p>drop_columns</p></td>
+<tr class="row-even"><td><p>distinct_on</p></td>
+<td><p>Filter out duplicate rows based on provided expressions.</p></td>
+</tr>
+<tr class="row-odd"><td><p>drop_columns</p></td>
<td><p>Create a projection with all but the provided column names.</p></td>
</tr>
-<tr class="row-odd"><td><p>except</p></td>
+<tr class="row-even"><td><p>except</p></td>
<td><p>Calculate the exception of two DataFrames. The two DataFrames must have
exactly the same schema</p></td>
</tr>
-<tr class="row-even"><td><p>filter</p></td>
+<tr class="row-odd"><td><p>filter</p></td>
<td><p>Filter a DataFrame to only include rows that match the specified filter
expression.</p></td>
</tr>
-<tr class="row-odd"><td><p>intersect</p></td>
+<tr class="row-even"><td><p>intersect</p></td>
<td><p>Calculate the intersection of two DataFrames. The two DataFrames must
have exactly the same schema</p></td>
</tr>
-<tr class="row-even"><td><p>join</p></td>
+<tr class="row-odd"><td><p>join</p></td>
<td><p>Join this DataFrame with another DataFrame using the specified columns
as join keys.</p></td>
</tr>
-<tr class="row-odd"><td><p>join_on</p></td>
+<tr class="row-even"><td><p>join_on</p></td>
<td><p>Join this DataFrame with another DataFrame using arbitrary
expressions.</p></td>
</tr>
-<tr class="row-even"><td><p>limit</p></td>
+<tr class="row-odd"><td><p>limit</p></td>
<td><p>Limit the number of rows returned from this DataFrame.</p></td>
</tr>
-<tr class="row-odd"><td><p>repartition</p></td>
+<tr class="row-even"><td><p>repartition</p></td>
<td><p>Repartition a DataFrame based on a logical partitioning scheme.</p></td>
</tr>
-<tr class="row-even"><td><p>sort</p></td>
+<tr class="row-odd"><td><p>sort</p></td>
<td><p>Sort the DataFrame by the specified sorting expressions. Any expression
can be turned into a sort expression by calling its <code class="docutils
literal notranslate"><span class="pre">sort</span></code> method.</p></td>
</tr>
-<tr class="row-odd"><td><p>select</p></td>
+<tr class="row-even"><td><p>select</p></td>
<td><p>Create a projection based on arbitrary expressions. Example: <code
class="docutils literal notranslate"><span
class="pre">df.select(vec![col("c1"),</span> <span
class="pre">abs(col("c2"))])?</span></code></p></td>
</tr>
-<tr class="row-even"><td><p>select_columns</p></td>
+<tr class="row-odd"><td><p>select_columns</p></td>
<td><p>Create a projection based on column names. Example: <code
class="docutils literal notranslate"><span
class="pre">df.select_columns(&["id",</span> <span
class="pre">"name"])?</span></code>.</p></td>
</tr>
-<tr class="row-odd"><td><p>union</p></td>
+<tr class="row-even"><td><p>union</p></td>
<td><p>Calculate the union of two DataFrames, preserving duplicate rows. The
two DataFrames must have exactly the same schema.</p></td>
</tr>
-<tr class="row-even"><td><p>union_distinct</p></td>
+<tr class="row-odd"><td><p>union_distinct</p></td>
<td><p>Calculate the distinct union of two DataFrames. The two DataFrames must
have exactly the same schema.</p></td>
</tr>
-<tr class="row-odd"><td><p>with_column</p></td>
+<tr class="row-even"><td><p>with_column</p></td>
<td><p>Add an additional column to the DataFrame.</p></td>
</tr>
-<tr class="row-even"><td><p>with_column_renamed</p></td>
+<tr class="row-odd"><td><p>with_column_renamed</p></td>
<td><p>Rename one column by applying a new projection.</p></td>
</tr>
</tbody>
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