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From git-site-r...@apache.org
Subject [beam] branch asf-site updated: Publishing website 2021/07/07 06:03:06 at commit ab68cc1
Date Wed, 07 Jul 2021 06:03:38 GMT
This is an automated email from the ASF dual-hosted git repository.

git-site-role pushed a commit to branch asf-site
in repository https://gitbox.apache.org/repos/asf/beam.git


The following commit(s) were added to refs/heads/asf-site by this push:
     new d162fdb  Publishing website 2021/07/07 06:03:06 at commit ab68cc1
d162fdb is described below

commit d162fdb7ac223d7462536809e8f7ee9877e68a57
Author: jenkins <builds@apache.org>
AuthorDate: Wed Jul 7 06:03:06 2021 +0000

    Publishing website 2021/07/07 06:03:06 at commit ab68cc1
---
 .../generated-content/blog/dataframe-api-preview-available/index.html   | 2 +-
 website/generated-content/blog/index.xml                                | 2 +-
 website/generated-content/categories/blog/index.xml                     | 2 +-
 website/generated-content/feed.xml                                      | 2 +-
 website/generated-content/sitemap.xml                                   | 2 +-
 5 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/website/generated-content/blog/dataframe-api-preview-available/index.html b/website/generated-content/blog/dataframe-api-preview-available/index.html
index 28a094c..64f1697 100644
--- a/website/generated-content/blog/dataframe-api-preview-available/index.html
+++ b/website/generated-content/blog/dataframe-api-preview-available/index.html
@@ -34,7 +34,7 @@ aggregation, and writes the output to CSV, can be expressed very concisely:</p><
 
 with beam.Pipeline() as p:
   df = p | read_csv(&quot;gs://apache-beam-samples/nyc_taxi/2019/*.csv&quot;,
-                    use_ncols=['passenger_count' , 'DOLocationID'])
+                    usecols=['passenger_count' , 'DOLocationID'])
   # Count the number of passengers dropped off per LocationID
   agg = df.groupby('DOLocationID').sum()
   agg.to_csv(output)
diff --git a/website/generated-content/blog/index.xml b/website/generated-content/blog/index.xml
index 6d60094..34127e7 100644
--- a/website/generated-content/blog/index.xml
+++ b/website/generated-content/blog/index.xml
@@ -443,7 +443,7 @@ aggregation, and writes the output to CSV, can be expressed very concisely:&lt;/
 &lt;pre>&lt;code>from apache_beam.dataframe.io import read_csv
 with beam.Pipeline() as p:
 df = p | read_csv(&amp;quot;gs://apache-beam-samples/nyc_taxi/2019/*.csv&amp;quot;,
-use_ncols=['passenger_count' , 'DOLocationID'])
+usecols=['passenger_count' , 'DOLocationID'])
 # Count the number of passengers dropped off per LocationID
 agg = df.groupby('DOLocationID').sum()
 agg.to_csv(output)
diff --git a/website/generated-content/categories/blog/index.xml b/website/generated-content/categories/blog/index.xml
index e6d77a2..f2370d2 100644
--- a/website/generated-content/categories/blog/index.xml
+++ b/website/generated-content/categories/blog/index.xml
@@ -443,7 +443,7 @@ aggregation, and writes the output to CSV, can be expressed very concisely:&lt;/
 &lt;pre>&lt;code>from apache_beam.dataframe.io import read_csv
 with beam.Pipeline() as p:
 df = p | read_csv(&amp;quot;gs://apache-beam-samples/nyc_taxi/2019/*.csv&amp;quot;,
-use_ncols=['passenger_count' , 'DOLocationID'])
+usecols=['passenger_count' , 'DOLocationID'])
 # Count the number of passengers dropped off per LocationID
 agg = df.groupby('DOLocationID').sum()
 agg.to_csv(output)
diff --git a/website/generated-content/feed.xml b/website/generated-content/feed.xml
index e2f1a03..6817b4e 100644
--- a/website/generated-content/feed.xml
+++ b/website/generated-content/feed.xml
@@ -443,7 +443,7 @@ aggregation, and writes the output to CSV, can be expressed very concisely:&lt;/
 &lt;pre>&lt;code>from apache_beam.dataframe.io import read_csv
 with beam.Pipeline() as p:
 df = p | read_csv(&amp;quot;gs://apache-beam-samples/nyc_taxi/2019/*.csv&amp;quot;,
-use_ncols=['passenger_count' , 'DOLocationID'])
+usecols=['passenger_count' , 'DOLocationID'])
 # Count the number of passengers dropped off per LocationID
 agg = df.groupby('DOLocationID').sum()
 agg.to_csv(output)
diff --git a/website/generated-content/sitemap.xml b/website/generated-content/sitemap.xml
index 8a88187..7a5a9ae 100644
--- a/website/generated-content/sitemap.xml
+++ b/website/generated-content/sitemap.xml
@@ -1 +1 @@
-<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/blog/beam-2.30.0/</loc><lastmod>2021-05-26T19:50:36-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2021-06-09T10:56:20-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2021-06-09T10:56:20-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2021-06-09T10:56:20-07:00</lastmod></url><url><loc>/blog/v
[...]
\ No newline at end of file
+<?xml version="1.0" encoding="utf-8" standalone="yes"?><urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9"
xmlns:xhtml="http://www.w3.org/1999/xhtml"><url><loc>/blog/beam-2.30.0/</loc><lastmod>2021-05-26T19:50:36-07:00</lastmod></url><url><loc>/categories/blog/</loc><lastmod>2021-07-01T15:48:01-07:00</lastmod></url><url><loc>/blog/</loc><lastmod>2021-07-01T15:48:01-07:00</lastmod></url><url><loc>/categories/</loc><lastmod>2021-07-01T15:48:01-07:00</lastmod></url><url><loc>/blog/v
[...]
\ No newline at end of file

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