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

I've just copied and pasted your code in a notebook and it works.

%pyspark
import pandas as pd
from pyspark.sql import SQLContext
print sc
df = pd.DataFrame([("foo", 1), ("bar", 2)], columns=("k", "v"))
print type(df)
print df
sqlCtx = SQLContext(sc)
sqlCtx.createDataFrame(df).show()



     k  v
0  foo  1
1  bar  2
+---+-+
|  k|v|
+---+-+
|foo|1|
|bar|2|
+---+-+

I am using this version: zeppelin-0.5.0-incubating-bin-spark-1.4.0_hadoop-2.3.tgz