numpy - Python + Pandas + Spark - How to import a dataframe into Pandas dataframe and convert it into a dictionary? -

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how can import dataframe pandas dataframe , convert dictionary?

i have dataframe created spark,

sc = sparkcontext(appname="pythonsql")     sqlcontext = sqlcontext(sc)      path = os.path.join(os.environ['spark_home'], "examples/src/main/resources/people.json")  # create dataframe df = sqlcontext.read.json(path)  # register dataframe table. df.registertemptable("people")  # sql statements can run using sql methods provided sqlcontext teenagers = sqlcontext.sql("select name people")  sc.stop()

when try import pandas,

teenagers = pd.dataframe(teenagers, columns=['name'])

i error,

[client 127.0.0.1:50885] pandaserror: dataframe constructor not called!

after all, want convert dataframe dictionary,

dict = teenagers.set_index('name').to_dict() print dict

any ideas?

a spark dataframe can converted pandas dataframe topandas method.


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