[avro] branch master updated: AVRO-3659: Typo in python example (#1942)

[mg...@apache.org]

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mgrigorov pushed a commit to branch master
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The following commit(s) were added to refs/heads/master by this push:
     new 183474281 AVRO-3659: Typo in python example (#1942)
183474281 is described below

commit 1834742813715a8d30aa38194481437174ed7776
Author: Martin Grigorov <ma...@users.noreply.github.com>
AuthorDate: Fri Nov 4 09:37:15 2022 +0100

    AVRO-3659: Typo in python example (#1942)
    
    Fix the type of 'favorite_color' field.
    
    Signed-off-by: Martin Tzvetanov Grigorov <mg...@apache.org>
    
    Signed-off-by: Martin Tzvetanov Grigorov <mg...@apache.org>
---
 doc/content/en/docs/++version++/Getting started (Python)/_index.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/doc/content/en/docs/++version++/Getting started (Python)/_index.md b/doc/content/en/docs/++version++/Getting started (Python)/_index.md
index ded4aca5d..d4a652f3e 100644
--- a/doc/content/en/docs/++version++/Getting started (Python)/_index.md	
+++ b/doc/content/en/docs/++version++/Getting started (Python)/_index.md	
@@ -128,7 +128,7 @@ We create a DataFileWriter, which we'll use to write serialized items to a data
 writer.append({"name": "Alyssa", "favorite_number": 256})
 writer.append({"name": "Ben", "favorite_number": 7, "favorite_color": "red"})
         
-We use DataFileWriter.append to add items to our data file. Avro records are represented as Python dicts. Since the field favorite_color has type ["int", "null"], we are not required to specify this field, as shown in the first append. Were we to omit the required name field, an exception would be raised. Any extra entries not corresponding to a field are present in the dict are ignored.
+We use DataFileWriter.append to add items to our data file. Avro records are represented as Python dicts. Since the field favorite_color has type ["string", "null"], we are not required to specify this field, as shown in the first append. Were we to omit the required name field, an exception would be raised. Any extra entries not corresponding to a field are present in the dict are ignored.
 
 ```python
 reader = DataFileReader(open("users.avro", "rb"), DatumReader())