On Fri, Dec 13, 2013 at 11:21 PM, Steven D'Aprano <st...@pearwood.info> wrote: > >> >>> l = lambda x: x**2 >> >>> apply(l, (3,)) >> 9 > > The built-in function apply is deprecated in Python 2 and removed in > Python 3.
Possibly using apply() was meant to be similar to pandas DataFrame.apply, but the latter applies a function repeatedly to the rows or columns along an axis. It's closer to map(). http://pandas.pydata.org/pandas-docs/dev/api.html#id6 df = pandas.DataFrame( [[2, 3], [4, 6]], columns=('c0','c1'), index=('r0','r1')) >>> df c0 c1 r0 2 3 r1 4 6 >>> r = df.apply(print) r0 2 r1 4 Name: c0, dtype: int64 r0 3 r1 6 Name: c1, dtype: int64 >>> r = df.apply(print, axis=1) c0 2 c1 3 Name: r0, dtype: int64 c0 4 c1 6 Name: r1, dtype: int64 _______________________________________________ Tutor maillist - Tutor@python.org To unsubscribe or change subscription options: https://mail.python.org/mailman/listinfo/tutor
