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I'm using Python 2.7 on Mac OSX Lion and Pandas 0.11.0 with the IPython shell. I have a brief issue, using the data selection method .isin . The issue is that I would like to use .isin on a list of items, so: data = df[df[header[0]].isin(list)] I get the following error when I do this: KeyError: u'no item named ' I generate the initial list by calling a previously developed function. I tried using eval on the list, which seems to solve an issue that comes about when using raw_input and iterating over items within it - kinda trying to work out some of the issues I've been having when transitioning to IPython and Python 2.7 (originally used Python 3.3 ). I also tried iterating over the list, by first doing: data = df[df[header[0]].isin(list[0])] But that also returns: KeyError: u'no item named ' UPDATE: Here is the header: Unnamed: 0 9752 non-null values zipcode 9752 non-null values xcoord 9752 non-null values ycoord 9752 non-null values age_age5064 9752 non-null values age_age6574 9752 non-null values age_age75plus 9752 non-null values sex_female 9752 non-null values sex_male 9752 non-null values stage_early 9752 non-null values stage_late 9752 non-null values death_death 9752 non-null values death_not_death 9752 non-null values access 9752 non-null values dtypes: float64(2), int64(12) Also, I have a function I use to get the header, which makes things easier for me, the output looks like this: ['', 'zipcode', 'xcoord', 'ycoord', 'age_age5064', 'age_age6574', 'age_age75plus', 'sex_female', 'sex_male', 'stage_early', 'stage_late', 'death_d

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