iteritems(self) -> 'Iterable[tuple[Hashable, Series]]'
Iterates over the DataFrame columns, returning a tuple with the column name and the content as a Series.
Iterate over (column name, Series) pairs.
The column names for the DataFrame being iterated over.
The column entries belonging to each label, as a Series.
DataFrame.iterrows
Iterate over DataFrame rows as (index, Series) pairs.
DataFrame.itertuples
Iterate over DataFrame rows as namedtuples of the values.
>>> df = pd.DataFrame({'species': ['bear', 'bear', 'marsupial'],This example is valid syntax, but we were not able to check execution
... '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():See :
... 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
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