converting pandas dataframes to spark dataframe in zeppelin

Question

I am new to zeppelin. I have a usecase wherein i have a pandas dataframe.I need to visualize the collections using in-built chart of zeppelin I do not have a clear approach here

Answer 1

The following works for me with Zeppelin 0.6.0, Spark 1.6.2 and Python 3.5.2:

%pyspark
import pandas as pd
df = pd.DataFrame([("foo", 1), ("bar", 2)], columns=("k", "v"))
z.show(sqlContext.createDataFrame(df))

which renders as: