What are alternative methods for pandas quantile and cut in pyspark 1.6

I'm newbie to pyspark. I have pandas code like below.

bindt = df[df[var].notnull()][var].quantile([0,.1,.2,.3,.4,.5,.6,.7,.8,.9,1]).unique()

df['{0}_quartile'.format(var)] = pd.cut(df[var], bindt, labels=False, include_lowest=True )

Could anyone please suggest how to rewrite above code in pyspark 1.6 dataframe.

Thanks in advance

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