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The following commit(s) were added to refs/heads/master by this push:
     new 4352a10ab9 [ZEPPELIN-5875] Add: z.show works with subtypes of 
DataFrame (#4683)
4352a10ab9 is described below

commit 4352a10ab95af975e08f3019ca07027b7070e62e
Author: Matthias Koch <23187557+matthias-k...@users.noreply.github.com>
AuthorDate: Wed Nov 8 03:47:37 2023 +0100

    [ZEPPELIN-5875] Add: z.show works with subtypes of DataFrame (#4683)
---
 python/src/main/resources/python/zeppelin_context.py     |  2 +-
 .../zeppelin/python/BasePythonInterpreterTest.java       | 16 ++++++++++++++++
 2 files changed, 17 insertions(+), 1 deletion(-)

diff --git a/python/src/main/resources/python/zeppelin_context.py 
b/python/src/main/resources/python/zeppelin_context.py
index de3807d09e..8223966d40 100644
--- a/python/src/main/resources/python/zeppelin_context.py
+++ b/python/src/main/resources/python/zeppelin_context.py
@@ -179,7 +179,7 @@ class PyZeppelinContext(object):
     def show(self, p, **kwargs):
         if hasattr(p, '__name__') and p.__name__ == "matplotlib.pyplot":
             self.show_matplotlib(p, **kwargs)
-        elif type(p).__name__ == "DataFrame": # does not play well with 
sub-classes
+        elif any(t.__name__ == 'DataFrame' for t in type(p).mro()):
             # `isinstance(p, DataFrame)` would req `import 
pandas.core.frame.DataFrame`
             # and so a dependency on pandas
             self.show_dataframe(p, **kwargs)
diff --git 
a/python/src/test/java/org/apache/zeppelin/python/BasePythonInterpreterTest.java
 
b/python/src/test/java/org/apache/zeppelin/python/BasePythonInterpreterTest.java
index 7469fdd474..ecb903280b 100644
--- 
a/python/src/test/java/org/apache/zeppelin/python/BasePythonInterpreterTest.java
+++ 
b/python/src/test/java/org/apache/zeppelin/python/BasePythonInterpreterTest.java
@@ -311,6 +311,22 @@ public abstract class BasePythonInterpreterTest extends 
ConcurrentTestCase {
     assertEquals(InterpreterResult.Type.TABLE, 
interpreterResultMessages.get(0).getType());
     assertEquals("id\tname\n1\ta a\n2\tb b\n3\tc c\n", 
interpreterResultMessages.get(0).getData());
 
+    // Pandas DataFrame with sub type
+    context = getInterpreterContext();
+    result = interpreter.interpret("import pandas as pd\n" +
+        "class ExtendedDataFrame(pd.DataFrame):\n" +
+        "  pass\n" +
+        "df = ExtendedDataFrame({'id':[1,2,3], 
'name':['a\ta','b\\nb','c\\r\\nc']})\n" +
+        "z.show(df)",
+        context);
+    assertEquals(InterpreterResult.Code.SUCCESS, result.code(),
+        context.out.toInterpreterResultMessage().toString());
+    interpreterResultMessages = context.out.toInterpreterResultMessage();
+    assertEquals(1, interpreterResultMessages.size());
+    assertEquals(InterpreterResult.Type.TABLE, 
interpreterResultMessages.get(0).getType());
+    assertEquals("id\tname\n1\ta a\n2\tb b\n3\tc c\n", 
interpreterResultMessages.get(0).getData());
+
+    // Pandas DataFrame limited to three results
     context = getInterpreterContext();
     result = interpreter.interpret("import pandas as pd\n" +
         "df = pd.DataFrame({'id':[1,2,3,4], 'name':['a','b','c', 
'd']})\nz.show(df)", context);

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