pandas.DataFrame.iteritems

DataFrame.iteritems() [source]

Iterator 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.iteritems():
...     print('label:', label)
...     print('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