Convert pandas dataframe to RDD in zeppelin

I'm new to Zeppelin and I there are things I just don't understand.

I have downloaded a table from a db with python, then, I would like to convert it to an RDD. But I got the error that the table is not found. I think there's a problem founding the tables created with another interpreters but I don't realy know... I tried with this and this question but still don't work, they create the df directly with spark. Any help would be so useful :)

 %python
    engine = create_engine(
        'mysql+mysqlconnector://...')
    df = pd.read_sql(query, engine)

%spark
val sqlContext = new org.apache.spark.sql.SQLContext(sc)

import sqlContext.implicits._
df=df.registerTempTable("df")

val df = sqlContext.sql("SELECT * from df LIMIT 5")
df.collect().foreach(println)

Solution

Converting a Pandas DataFrame to a Spark DataFrame is quite straight-forward :

%python
import pandas

pdf = pandas.DataFrame([[1, 2]]) # this is a dummy dataframe

# convert your pandas dataframe to a spark dataframe
df = sqlContext.createDataFrame(pdf)

# you can register the table to use it across interpreters
df.registerTempTable("df")

# you can get the underlying RDD without changing the interpreter 
rdd = df.rdd

To fetch it with scala spark you'll just need to do the following :

%spark
val df = sqlContext.sql("select * from df")
df.show()
// +---+---+
// |  0|  1|
// +---+---+
// |  1|  2|
// +---+---+

You can also get the underlying rdd :

val rdd = df.rdd