dask_expr._collection.DataFrame.items
dask_expr._collection.DataFrame.items¶
- DataFrame.items()[source]¶
Iterate over (column name, Series) pairs.
This docstring was copied from pandas.core.frame.DataFrame.items.
Some inconsistencies with the Dask version may exist.
Iterates over the DataFrame columns, returning a tuple with the column name and the content as a Series.
- Yields
- labelobject
The column names for the DataFrame being iterated over.
- contentSeries
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