pyspark.pandas.DataFrame.iteritems

DataFrame.iteritems() → Iterator[Tuple[Union[Any, Tuple[Any, …]], Series]]

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

labelobject

The column names for the DataFrame being iterated over.

contentSeries

The column entries belonging to each label, as a Series.

Examples

>>> df = ps.DataFrame({'species': ['bear', 'bear', 'marsupial'],
...                    'population': [1864, 22000, 80000]},
...                   index=['panda', 'polar', 'koala'],
...                   columns=['species', 'population'])
>>> df
         species  population
panda       bear        1864
polar       bear       22000
koala  marsupial       80000

>>> for label, content in df.iteritems():
...    print('label:', label)
...    print('content:', content.to_string())
...
label: species
content: panda         bear
polar         bear
koala    marsupial
label: population
content: panda     1864
polar    22000
koala    80000

pyspark.pandas.DataFrame.items pyspark.pandas.DataFrame.iterrows