pandas.DataFrame.iteritems¶
-
DataFrame.
iteritems
(self)[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.
Returns: - 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('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