pop(self, item: 'Hashable') -> 'Series'
Label of column to be popped.
Return item and drop from frame. Raise KeyError if not found.
>>> df = pd.DataFrame([('falcon', 'bird', 389.0),This example is valid syntax, but we were not able to check execution
... ('parrot', 'bird', 24.0),
... ('lion', 'mammal', 80.5),
... ('monkey', 'mammal', np.nan)],
... columns=('name', 'class', 'max_speed'))
... df name class max_speed 0 falcon bird 389.0 1 parrot bird 24.0 2 lion mammal 80.5 3 monkey mammal NaN
>>> df.pop('class') 0 bird 1 bird 2 mammal 3 mammal Name: class, dtype: objectThis example is valid syntax, but we were not able to check execution
>>> df name max_speed 0 falcon 389.0 1 parrot 24.0 2 lion 80.5 3 monkey NaNSee :
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