With Pandas dataframe <http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.query.html>, we can do query:
>>> from numpy.random import randn>>> from pandas import DataFrame>>> df = >>> DataFrame(randn(10, 2), columns=list('ab'))>>> df.query('a > b') This SQL-select-like query is very convenient. Can we do similar thing with the new dataframe of spark? Best, Rex