pandas.DataFrame.items

DataFrame.items()

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:

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