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Cody Stephenson8,272 Points
Are these valid solutions for the individual practice tasks?
OCQ130 has valid values of (1-7, 77, 99). I wanted to included the 77 and 99 so I couldn't use a
> [highest valid code] clause like in the example, so I used.
ind = ocq['OCQ130'].between(7, 77, inclusive=False) ocq.loc[ind, 'OCQ130'] = np.nan
and for OCQ150 the valid values are (1, 2, 3, 4, 7, 9) but there were some 8's in the unique values so <> wouldn't work, and neither would df.between() so I went with
ind = ocq['OCQ150'].isin([1, 2, 3, 4, 7, 9]) ocq.loc[~ind, 'OCQ150'] = np.nan
These seemed reasonable and so did the subsequent outputs and checks on the data, I just wanted to see if there might be any hidden gotchas I missed.