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python q: i may be idiot but in my data ppl entered manual numbers to a q. some of the numbers are obviously dumb. Id like to delete all dumb numbers, so any number outside of a specified range, just wanna make NaNs. all google things i try do not work. column is float64.

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gives me "The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all()."

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yea gives me the same error

5:07 AM · Oct 31, 2022

Nathaniel Bechhofer

Replying to

Try df.loc[(df['mycol'] >= 0) & (df['mycol'] <= 10), 'mycol'] = np.nan This is different because & (a bitwise operator) operates on each value rather than the two columns you generate from doing the two comparisons

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