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     new 7472f81  [BEAM-7389] Add code examples for Filter page (#9184)
7472f81 is described below

commit 7472f81e78e96c8faa07edaefa17d1d867fd992c
Author: David Cavazos <[email protected]>
AuthorDate: Wed Jul 31 15:09:17 2019 -0700

    [BEAM-7389] Add code examples for Filter page (#9184)
    
    * [BEAM-7389] Add code examples for Filter page
---
 .../transforms/python/element-wise/filter.md       | 171 +++++++++++++++++++--
 1 file changed, 162 insertions(+), 9 deletions(-)

diff --git a/website/src/documentation/transforms/python/element-wise/filter.md 
b/website/src/documentation/transforms/python/element-wise/filter.md
index 523ca2d..420718c 100644
--- a/website/src/documentation/transforms/python/element-wise/filter.md
+++ b/website/src/documentation/transforms/python/element-wise/filter.md
@@ -18,25 +18,178 @@ See the License for the specific language governing 
permissions and
 limitations under the License.
 -->
 
-# Filter 
-<table align="left">
-    <a target="_blank" class="button"
+# Filter
+
+<script type="text/javascript">
+localStorage.setItem('language', 'language-py')
+</script>
+
+<table>
+  <td>
+    <a class="button" target="_blank"
         
href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.core.html#apache_beam.transforms.core.Filter";>
-      <img src="https://beam.apache.org/images/logos/sdks/python.png"; 
width="20px" height="20px"
-           alt="Pydoc" />
-     Pydoc
+      <img src="https://beam.apache.org/images/logos/sdks/python.png";
+          width="20px" height="20px" alt="Pydoc" />
+      Pydoc
     </a>
+  </td>
 </table>
 <br>
+
 Given a predicate, filter out all elements that don't satisfy that predicate.
 May also be used to filter based on an inequality with a given value based
 on the comparison ordering of the element.
 
 ## Examples
-See [BEAM-7389](https://issues.apache.org/jira/browse/BEAM-7389) for updates. 
 
-## Related transforms  
+In the following examples, we create a pipeline with a `PCollection` of 
produce their icon, name, and duration.
+Then, we apply `Filter` in multiple ways to filter out produce by their 
duration value.
+
+### Example 1: Filtering with a function
+
+We define a function `is_perennial` which returns `True` if the element's 
duration equals `'perennial'`, and `False` otherwise.
+`Filter` accepts this function, keeps elements that return `True`, and filters 
out the remaining elements.
+
+```py
+{% github_sample 
/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py
 tag:filter_function %}```
+
+<table>
+  <td>
+    <a class="button" target="_blank"
+        
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py";>
+      <img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png";
+        width="20px" height="20px" alt="View on GitHub" />
+      View on GitHub
+    </a>
+  </td>
+</table>
+<br>
+
+### Example 2: Filtering with a lambda function
+
+We can also use lambda functions to simplify **Example 1**.
+
+```py
+{% github_sample 
/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py
 tag:filter_lambda %}```
+
+<table>
+  <td>
+    <a class="button" target="_blank"
+        
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py";>
+      <img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png";
+        width="20px" height="20px" alt="View on GitHub" />
+      View on GitHub
+    </a>
+  </td>
+</table>
+<br>
+
+### Example 3: Filtering with multiple arguments
+
+You can pass functions with multiple arguments to `Filter`.
+They are passed as additional positional arguments or keyword arguments to the 
function.
+
+In this example, `has_duration` takes `plant` and `duration` as arguments.
+
+```py
+{% github_sample 
/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py
 tag:filter_multiple_arguments %}```
+
+<table>
+  <td>
+    <a class="button" target="_blank"
+        
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py";>
+      <img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png";
+        width="20px" height="20px" alt="View on GitHub" />
+      View on GitHub
+    </a>
+  </td>
+</table>
+<br>
+
+### Example 4: Filtering with side inputs as singletons
+
+If the `PCollection` has a single value, such as the average from another 
computation,
+passing the `PCollection` as a *singleton* accesses that value.
+
+In this example, we pass a `PCollection` the value `'perennial'` as a 
singleton.
+We then use that value to filter out perennials.
+
+```py
+{% github_sample 
/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py
 tag:filter_side_inputs_singleton %}```
+
+<table>
+  <td>
+    <a class="button" target="_blank"
+        
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py";>
+      <img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png";
+        width="20px" height="20px" alt="View on GitHub" />
+      View on GitHub
+    </a>
+  </td>
+</table>
+<br>
+
+### Example 5: Filtering with side inputs as iterators
+
+If the `PCollection` has multiple values, pass the `PCollection` as an 
*iterator*.
+This accesses elements lazily as they are needed,
+so it is possible to iterate over large `PCollection`s that won't fit into 
memory.
+
+```py
+{% github_sample 
/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py
 tag:filter_side_inputs_iter %}```
+
+<table>
+  <td>
+    <a class="button" target="_blank"
+        
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py";>
+      <img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png";
+        width="20px" height="20px" alt="View on GitHub" />
+      View on GitHub
+    </a>
+  </td>
+</table>
+<br>
+
+> **Note**: You can pass the `PCollection` as a *list* with 
`beam.pvalue.AsList(pcollection)`,
+> but this requires that all the elements fit into memory.
+
+### Example 6: Filtering with side inputs as dictionaries
+
+If a `PCollection` is small enough to fit into memory, then that `PCollection` 
can be passed as a *dictionary*.
+Each element must be a `(key, value)` pair.
+Note that all the elements of the `PCollection` must fit into memory for this.
+If the `PCollection` won't fit into memory, use 
`beam.pvalue.AsIter(pcollection)` instead.
+
+```py
+{% github_sample 
/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py
 tag:filter_side_inputs_dict %}```
+
+<table>
+  <td>
+    <a class="button" target="_blank"
+        
href="https://github.com/apache/beam/blob/master/sdks/python/apache_beam/examples/snippets/transforms/element_wise/filter.py";>
+      <img src="https://www.tensorflow.org/images/GitHub-Mark-32px.png";
+        width="20px" height="20px" alt="View on GitHub" />
+      View on GitHub
+    </a>
+  </td>
+</table>
+<br>
+
+## Related transforms
+
 * [FlatMap]({{ site.baseurl 
}}/documentation/transforms/python/elementwise/flatmap) behaves the same as 
`Map`, but for
   each input it might produce zero or more outputs.
 * [ParDo]({{ site.baseurl 
}}/documentation/transforms/python/elementwise/pardo) is the most general 
element-wise mapping
-  operation, and includes other abilities such as multiple output collections 
and side-inputs. 
\ No newline at end of file
+  operation, and includes other abilities such as multiple output collections 
and side-inputs.
+
+<table>
+  <td>
+    <a class="button" target="_blank"
+        
href="https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.core.html#apache_beam.transforms.core.Filter";>
+      <img src="https://beam.apache.org/images/logos/sdks/python.png";
+          width="20px" height="20px" alt="Pydoc" />
+      Pydoc
+    </a>
+  </td>
+</table>
+<br>

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