modin.pandas.DataFrame.items

DataFrame.items() → Iterable[tuple[Hashable, modin.pandas.series.Series]][source] (https://github.com/snowflakedb/snowpark-python/blob/v1.26.0/snowpark-python/.tox/docs/lib/python3.9/site-packages/modin/pandas/dataframe.py#L1166-L1177)

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:\n{content}')
...
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
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