From 8b8ce4968033fe5df1428765a3bd68f9f767e710 Mon Sep 17 00:00:00 2001 From: TomAugspurger Date: Tue, 22 Oct 2013 08:29:44 -0500 Subject: [PATCH] DOC: Remove iloc example. --- doc/source/indexing.rst | 8 -------- 1 file changed, 8 deletions(-) diff --git a/doc/source/indexing.rst b/doc/source/indexing.rst index 143f2bd9d8252..9236ef94f85fd 100644 --- a/doc/source/indexing.rst +++ b/doc/source/indexing.rst @@ -590,14 +590,6 @@ a list of items you want to check for. df.isin(values) -You can also describe columns using integer location: - -.. ipython:: python - - values = {0: ['a', 'b']} - - df.isin(values, iloc=True) - Combine DataFrame's ``isin`` with the ``any()`` and ``all()`` methods to quickly select subsets of your data that meet a given criteria. To select a row where each column meets its own criterion: