pandas.DataFrame.items#

DataFrame.items()[source]#

Iterate over (column name, Series) pairs.

Iterates over the DataFrame columns, returning a tuple withthe 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   populationpanda   bear      1864polar   bear      22000koala   marsupial 80000>>>forlabel,contentindf.items():...print(f'label:{label}')...print(f'content:{content}',sep='\n')...label: speciescontent:panda         bearpolar         bearkoala    marsupialName: species, dtype: objectlabel: populationcontent:panda     1864polar    22000koala    80000Name: population, dtype: int64