Using numpy, one can subset an array with one boolean array per dimension like: In [10]: aa = np.array(range(9)).reshape(-1, 3) In [11]: aa Out[11]: array([[0, 1, 2], [3, 4, 5], [6, 7, 8]]) In [12]: conditions = (np.array([True, True, False]), np.array([True, False, True])) In [13]: aa[np.ix_(*conditions)] Out[13]: array([[0, 2], [3, 5]]) Is there a way to do this in Pandas? I've looked in their docs https://pandas.pydata.org/docs/user_guide/indexing.html#boolean-indexing but didn't find it. (I would have posted 4 relevant links, but then the automatic question checks think I've posted code that is not properly formatted.) This https://github.com/pandas-dev/pandas/issues/11290 github issue is close, but I want to pick entire rows and columns. Continue reading...
