You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@sedona.apache.org by ji...@apache.org on 2023/05/11 19:51:25 UTC
[sedona] branch master updated: [DOCS] Fix typos in README
This is an automated email from the ASF dual-hosted git repository.
jiayu pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/sedona.git
The following commit(s) were added to refs/heads/master by this push:
new aad8a8a9 [DOCS] Fix typos in README
aad8a8a9 is described below
commit aad8a8a916e657fc75cccd26c5b376b20a5dd1e6
Author: Jia Yu <ji...@apache.org>
AuthorDate: Thu May 11 12:51:20 2023 -0700
[DOCS] Fix typos in README
---
README.md | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/README.md b/README.md
index 7e160aac..469e65c4 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@ Apache Sedonaâ„¢ is a spatial computing engine that enables developers to easily
[![Scala and Java build](https://github.com/apache/sedona/actions/workflows/java.yml/badge.svg)](https://github.com/apache/sedona/actions/workflows/java.yml) [![Python build](https://github.com/apache/sedona/actions/workflows/python.yml/badge.svg)](https://github.com/apache/sedona/actions/workflows/python.yml) [![R build](https://github.com/apache/sedona/actions/workflows/r.yml/badge.svg)](https://github.com/apache/sedona/actions/workflows/r.yml) [![Example project build](https://github. [...]
-<img src="https://github.com/MoSarwat/sedona/blob/master/docs/image/SedonaNewFig.001.png" width="800" class="center">
+<img src="docs/image/sedona-ecosystem.png" width="800" class="center">
Click [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/apache/sedona/HEAD?filepath=binder) and play the interactive Sedona Python Jupyter Notebook immediately!
@@ -19,7 +19,7 @@ taxidf = taxidf.selectExpr('ST_Point(CAST(Start_Lon AS Decimal(24,20)), CAST(Sta
```
```
-zoneDf = spark.read.format('csv').option("delimiter", ",").load("s3a://wherobots-examples/data/TIGER2018_ZCTA5.csv")
+zoneDf = spark.read.format('csv').option("delimiter", ",").load("s3a://your-directory/data/TIGER2018_ZCTA5.csv")
zoneDf = zoneDf.selectExpr('ST_GeomFromWKT(_c0) as zone', '_c1 as zipcode')
```