Pyspark Display not showing chart in Jupyter
I have the following line of code:
display(df2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate"))
Which according to this document:
https://docs.databricks.com/user-guide/visualizations/index.html#visualizations-in-python
Should give me a chart in Jupyter. Instead I get the following output:
DataFrame[TransactionDate: timestamp, sum(Amount): double]
How come?
apache-spark pyspark apache-spark-sql
add a comment |
I have the following line of code:
display(df2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate"))
Which according to this document:
https://docs.databricks.com/user-guide/visualizations/index.html#visualizations-in-python
Should give me a chart in Jupyter. Instead I get the following output:
DataFrame[TransactionDate: timestamp, sum(Amount): double]
How come?
apache-spark pyspark apache-spark-sql
Why notdf2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate").show()
?
– pault
Dec 28 '18 at 18:18
add a comment |
I have the following line of code:
display(df2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate"))
Which according to this document:
https://docs.databricks.com/user-guide/visualizations/index.html#visualizations-in-python
Should give me a chart in Jupyter. Instead I get the following output:
DataFrame[TransactionDate: timestamp, sum(Amount): double]
How come?
apache-spark pyspark apache-spark-sql
I have the following line of code:
display(df2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate"))
Which according to this document:
https://docs.databricks.com/user-guide/visualizations/index.html#visualizations-in-python
Should give me a chart in Jupyter. Instead I get the following output:
DataFrame[TransactionDate: timestamp, sum(Amount): double]
How come?
apache-spark pyspark apache-spark-sql
apache-spark pyspark apache-spark-sql
edited Dec 28 '18 at 18:20
pault
14.4k32148
14.4k32148
asked Dec 28 '18 at 17:58
user1761806user1761806
1,96711629
1,96711629
Why notdf2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate").show()
?
– pault
Dec 28 '18 at 18:18
add a comment |
Why notdf2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate").show()
?
– pault
Dec 28 '18 at 18:18
Why not
df2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate").show()
?– pault
Dec 28 '18 at 18:18
Why not
df2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate").show()
?– pault
Dec 28 '18 at 18:18
add a comment |
1 Answer
1
active
oldest
votes
Which according to this document
...
Should give me a chart in Jupyter.
It should not. display
is a feature of a proprietary Databricks platform, not feature of Spark, so unless you use their notebook flavor (based on Zeppelin not Jupyter), it won't be available for you.
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Which according to this document
...
Should give me a chart in Jupyter.
It should not. display
is a feature of a proprietary Databricks platform, not feature of Spark, so unless you use their notebook flavor (based on Zeppelin not Jupyter), it won't be available for you.
add a comment |
Which according to this document
...
Should give me a chart in Jupyter.
It should not. display
is a feature of a proprietary Databricks platform, not feature of Spark, so unless you use their notebook flavor (based on Zeppelin not Jupyter), it won't be available for you.
add a comment |
Which according to this document
...
Should give me a chart in Jupyter.
It should not. display
is a feature of a proprietary Databricks platform, not feature of Spark, so unless you use their notebook flavor (based on Zeppelin not Jupyter), it won't be available for you.
Which according to this document
...
Should give me a chart in Jupyter.
It should not. display
is a feature of a proprietary Databricks platform, not feature of Spark, so unless you use their notebook flavor (based on Zeppelin not Jupyter), it won't be available for you.
answered Dec 28 '18 at 19:11
user10844266user10844266
361
361
add a comment |
add a comment |
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Why not
df2.groupBy("TransactionDate").sum("Amount").orderBy("TransactionDate").show()
?– pault
Dec 28 '18 at 18:18