Classe « DataFrame »

Méthode pandas.DataFrame.items

Signature de la méthode items

def items(self) -> 'Iterable[Tuple[Label, Series]]' 

Description

items.__doc__

Iterate over (column name, Series) pairs.

Iterates over the DataFrame columns, returning a tuple with
the column name and the content as a Series.

Yields
------
label : object
    The column names for the DataFrame being iterated over.
content : Series
    The column entries belonging to each label, as a Series.

See Also
--------
DataFrame.iterrows : Iterate over DataFrame rows as
    (index, Series) pairs.
DataFrame.itertuples : Iterate over DataFrame rows as namedtuples
    of the values.

Examples
--------
>>> df = pd.DataFrame({'species': ['bear', 'bear', 'marsupial'],
...                   'population': [1864, 22000, 80000]},
...                   index=['panda', 'polar', 'koala'])
>>> df
        species   population
panda   bear      1864
polar   bear      22000
koala   marsupial 80000
>>> for label, content in df.items():
...     print(f'label: {label}')
...     print(f'content: {content}', sep='\n')
...
label: species
content:
panda         bear
polar         bear
koala    marsupial
Name: species, dtype: object
label: population
content:
panda     1864
polar    22000
koala    80000
Name: population, dtype: int64